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cd4 cd25 regulatory t cell isolation kit  (Miltenyi Biotec)


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    Structured Review

    Miltenyi Biotec cd4 cd25 regulatory t cell isolation kit
    Dynamic changes in serum E2 levels and intrahepatic <t>CD4</t> + <t>CD25</t> + Foxp3 + Tregs in HBV-Tg mice during pregnancy and postpartum. a. One representative dot plot from each time point is shown. b. The proportion of CD4 + CD25 + Foxp3 + Tregs among CD4 + cells was compared. c. Dynamic changes in the serum E2 concentration were observed. The results were analyzed via one-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
    Cd4 Cd25 Regulatory T Cell Isolation Kit, supplied by Miltenyi Biotec, used in various techniques. Bioz Stars score: 96/100, based on 236 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cd4+kit/CD4%2BCD25%2B+Regulatory+T+Cell+Isolation+Kit%2C+mouse/pmc12273371-49-3-12
    Average 96 stars, based on 236 article reviews
    cd4 cd25 regulatory t cell isolation kit - by Bioz Stars, 2026-11
    96/100 stars

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    1) Product Images from "Estrogen protects against postpartum Concanavalin A-induced hepatitis by promoting intrahepatic CD4⁺CD25⁺ Treg expansion through activation of the PI3K/Akt signaling pathway in HBV-Tg mice"

    Article Title: Estrogen protects against postpartum Concanavalin A-induced hepatitis by promoting intrahepatic CD4⁺CD25⁺ Treg expansion through activation of the PI3K/Akt signaling pathway in HBV-Tg mice

    Journal: Virology Journal

    doi: 10.1186/s12985-025-02879-4

    Dynamic changes in serum E2 levels and intrahepatic CD4 + CD25 + Foxp3 + Tregs in HBV-Tg mice during pregnancy and postpartum. a. One representative dot plot from each time point is shown. b. The proportion of CD4 + CD25 + Foxp3 + Tregs among CD4 + cells was compared. c. Dynamic changes in the serum E2 concentration were observed. The results were analyzed via one-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
    Figure Legend Snippet: Dynamic changes in serum E2 levels and intrahepatic CD4 + CD25 + Foxp3 + Tregs in HBV-Tg mice during pregnancy and postpartum. a. One representative dot plot from each time point is shown. b. The proportion of CD4 + CD25 + Foxp3 + Tregs among CD4 + cells was compared. c. Dynamic changes in the serum E2 concentration were observed. The results were analyzed via one-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

    Techniques Used: Concentration Assay

    Exogenous E2 injection in ovariectomized HBV-Tg mice promoted the proliferation of intrahepatic CD4 + CD25 + Foxp3 + Tregs. (a) An illustration of the study design. (b) Representative diagram of the proportion of intrahepatic CD4 + CD25 + Foxp3 + Tregs among the three groups. (c) Comparison of the proportion of intrahepatic CD4 + CD25 + Foxp3 + Tregs among the three groups. The results were compared and analyzed using via one-way ANOVA. ** p < 0.01
    Figure Legend Snippet: Exogenous E2 injection in ovariectomized HBV-Tg mice promoted the proliferation of intrahepatic CD4 + CD25 + Foxp3 + Tregs. (a) An illustration of the study design. (b) Representative diagram of the proportion of intrahepatic CD4 + CD25 + Foxp3 + Tregs among the three groups. (c) Comparison of the proportion of intrahepatic CD4 + CD25 + Foxp3 + Tregs among the three groups. The results were compared and analyzed using via one-way ANOVA. ** p < 0.01

    Techniques Used: Injection, Comparison

    Estrogen plays a protective role against postpartum Con A-induced hepatitis, with increased intrahepatic CD4 + CD25 + Foxp3 + Tregs and inhibitory cytokine IL-10 levels. (a) HBV-Tg mice were i.p. injected with E2 to maintain the serum estrogen level as high as that observed in late pregnancy or sesame oil as control. On postpartum day 7, Con A was injected i.v. and peripheral blood and liver tissues were collected for further analysis 24 h after Con A administration. (b) Serum ALT levels in the Control, Con A, Oil + Con A and E2 + Con A groups. (c) The percentages of intrahepatic CD4 + CD25 + Foxp3 + Tregs were determined for different groups. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (e) CD107a expression in CD8 + T cells within hepatic MNCs were analyzed. (f) Proliferation of CD8 + T cells within hepatic MNCs were assessed. (g) The expression levels of the activation marker CD69 on both NK cells and NKT cells were determined. (h) The levels of the cytotoxic cytokine IFN-γ in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). (i) The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were compared among the different groups via two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
    Figure Legend Snippet: Estrogen plays a protective role against postpartum Con A-induced hepatitis, with increased intrahepatic CD4 + CD25 + Foxp3 + Tregs and inhibitory cytokine IL-10 levels. (a) HBV-Tg mice were i.p. injected with E2 to maintain the serum estrogen level as high as that observed in late pregnancy or sesame oil as control. On postpartum day 7, Con A was injected i.v. and peripheral blood and liver tissues were collected for further analysis 24 h after Con A administration. (b) Serum ALT levels in the Control, Con A, Oil + Con A and E2 + Con A groups. (c) The percentages of intrahepatic CD4 + CD25 + Foxp3 + Tregs were determined for different groups. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (e) CD107a expression in CD8 + T cells within hepatic MNCs were analyzed. (f) Proliferation of CD8 + T cells within hepatic MNCs were assessed. (g) The expression levels of the activation marker CD69 on both NK cells and NKT cells were determined. (h) The levels of the cytotoxic cytokine IFN-γ in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). (i) The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were compared among the different groups via two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

    Techniques Used: Injection, Control, Enzyme-linked Immunosorbent Assay, Quantitative RT-PCR, Expressing, Activation Assay, Marker

    Intrahepatic CD4 + CD25 + Foxp3 + Tregs play a pivotal role in the protective effect of E2 against postpartum Con A-induced hepatitis. Depletion of hepatic CD25 + cells aggravated liver damage in estrogen-injected HBV-Tg mice. a. The mice were injected E2 (100 ng/mouse) every other day starting from delivery day, then Con A (2 µg/g) injected on postpartum day 7, and 6 h after Con A treatment, a dose of 100 µg of rat IgG1 kappa isotype control antibody or 100 µg/mouse of anti-CD25 mAbs was injected i.p. 24 h post-Con A administration, peripheral blood and liver tissues were collected for analysis. b . ALT levels in serum were measured in mice administered with anti-CD25 Abs, compared to those given isotype control Abs. (c) Comparison of intrahepatic CD4 + CD25 + Foxp3 + Tregs between mice injected with anti-CD25 Abs and those injected with isotype control Abs. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (e) CD107a expression in CD8 + T cells within hepatic MNCs were analyzed. (f) Proliferation of CD8 + T cells within hepatic MNCs were assessed. (g) Expression of the activation marker CD69 on NK cells and NKT cells were determined. (h) The levels of the cytotoxic cytokine IFN-γ in serum were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (i) The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were analyzed by two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
    Figure Legend Snippet: Intrahepatic CD4 + CD25 + Foxp3 + Tregs play a pivotal role in the protective effect of E2 against postpartum Con A-induced hepatitis. Depletion of hepatic CD25 + cells aggravated liver damage in estrogen-injected HBV-Tg mice. a. The mice were injected E2 (100 ng/mouse) every other day starting from delivery day, then Con A (2 µg/g) injected on postpartum day 7, and 6 h after Con A treatment, a dose of 100 µg of rat IgG1 kappa isotype control antibody or 100 µg/mouse of anti-CD25 mAbs was injected i.p. 24 h post-Con A administration, peripheral blood and liver tissues were collected for analysis. b . ALT levels in serum were measured in mice administered with anti-CD25 Abs, compared to those given isotype control Abs. (c) Comparison of intrahepatic CD4 + CD25 + Foxp3 + Tregs between mice injected with anti-CD25 Abs and those injected with isotype control Abs. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (e) CD107a expression in CD8 + T cells within hepatic MNCs were analyzed. (f) Proliferation of CD8 + T cells within hepatic MNCs were assessed. (g) Expression of the activation marker CD69 on NK cells and NKT cells were determined. (h) The levels of the cytotoxic cytokine IFN-γ in serum were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). (i) The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver was measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were analyzed by two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

    Techniques Used: Injection, Control, Comparison, Enzyme-linked Immunosorbent Assay, Quantitative RT-PCR, Expressing, Activation Assay, Marker

    Administering E2 resulted in elevated p-Akt levels of purified hepatic CD25 + cells, and the PI3K/Akt signaling pathway was blocked via i.p. injection of the PI3K inhibitor LY294002 at the same time as E2 treatment in vivo. (a) An illustration of the study design. (b) The expressions of p-Akt and Akt in hepatic CD25 + cells were evaluated across the three groups (Control group, Oil + Con A group, and E2 + Con A group). (c) The expressions of p-Akt and Akt in hepatic CD25 + cells were evaluated across the four groups (E2 + Con A group, LY294002 group, E2 + Con A + LY294002 group and E2 + Con A + Solvent group)
    Figure Legend Snippet: Administering E2 resulted in elevated p-Akt levels of purified hepatic CD25 + cells, and the PI3K/Akt signaling pathway was blocked via i.p. injection of the PI3K inhibitor LY294002 at the same time as E2 treatment in vivo. (a) An illustration of the study design. (b) The expressions of p-Akt and Akt in hepatic CD25 + cells were evaluated across the three groups (Control group, Oil + Con A group, and E2 + Con A group). (c) The expressions of p-Akt and Akt in hepatic CD25 + cells were evaluated across the four groups (E2 + Con A group, LY294002 group, E2 + Con A + LY294002 group and E2 + Con A + Solvent group)

    Techniques Used: Purification, Injection, In Vivo, Control, Solvent

    Estrogen protects against postpartum Con A-induced hepatitis by promoting intrahepatic CD4⁺CD25⁺ Treg expansion through activation of the PI3K/Akt signaling pathway in HBV-Tg mice. (a) The PI3K inhibitor LY294002 or solvent DMSO was i.p. injected at the same time as the E2 treatment. The peripheral blood and liver tissues were collected for further analysis. (b) Serum ALT concentrations were determined in LY294002-treated mice compared to mice that received the solvent control. (c) The percentage of intrahepatic CD4 + CD25 + Foxp3 + Tregs in the livers of mice treated with LY294002 compared with those in the livers of control DMSO-treated mice. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). e. CD107a expression in CD8 + T cells in hepatic MNCs were analyzed. f. Proliferation of CD8 + T cells in hepatic MNCs were assessed. g. Expression of the activation marker CD69 on NK cells and NKT cells were determined. h. The cytotoxic cytokine IFN-γ in serum was measured via ELISA, and its level in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). i. The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were analyzed via two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001
    Figure Legend Snippet: Estrogen protects against postpartum Con A-induced hepatitis by promoting intrahepatic CD4⁺CD25⁺ Treg expansion through activation of the PI3K/Akt signaling pathway in HBV-Tg mice. (a) The PI3K inhibitor LY294002 or solvent DMSO was i.p. injected at the same time as the E2 treatment. The peripheral blood and liver tissues were collected for further analysis. (b) Serum ALT concentrations were determined in LY294002-treated mice compared to mice that received the solvent control. (c) The percentage of intrahepatic CD4 + CD25 + Foxp3 + Tregs in the livers of mice treated with LY294002 compared with those in the livers of control DMSO-treated mice. (d) The inhibitory cytokine IL-10 in serum of different groups were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). e. CD107a expression in CD8 + T cells in hepatic MNCs were analyzed. f. Proliferation of CD8 + T cells in hepatic MNCs were assessed. g. Expression of the activation marker CD69 on NK cells and NKT cells were determined. h. The cytotoxic cytokine IFN-γ in serum was measured via ELISA, and its level in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). i. The levels of the cytotoxic cytokine TNF-α in serum were measured via ELISA, and its levels in the liver were measured via qRT-PCR (mRNA level) and ELISA (protein level). The results were analyzed via two-way ANOVA. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

    Techniques Used: Activation Assay, Solvent, Injection, Control, Enzyme-linked Immunosorbent Assay, Quantitative RT-PCR, Expressing, Marker

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    Article Title: Antigen-Specific Chimeric Antigen Receptor-T Regulatory Cells Home to Human Islets, Suppress Cytotoxic T Lymphocytes and Reverse Type 1 Diabetes.
    Article Snippet: Background: We have developed pancreatic beta-cell, antigen-specific, chimeric antigen receptor (CAR) T regulatory cells (Tregs) and explored their therapeutic potential for type 1 diabetes (T1D)/latent autoimmune diabetes of adults (LADA) in human pancreatic tissues ex vivo, and in a spontaneous humanized mouse model (T1D mice) in vivo.. Results: Using live-cell imaging, we observed these glutamic acid decarboxylase, 65 kD isoform (GAD65)-CAR-Tregs home to human pancreatic islets exvivo and proliferate upon encountering the cognate GAD65 antigen in the islets.. Furthermore, human pancreatic-islet activated GAD65-CAR-Tregs also suppressed human T1D cytotoxic T lymphocytes in co-cultures.

    Article Title: Epithelial NF-κB shapes protective Treg cell responses to restrain intestinal inflammation.
    Article Snippet: Total andmigrated cells were visualized with Zeiss Axio Observer 7 and quantified with ImageJ 2.1 (Fiji). .. Murine ActDsRed CD4+ T-cells, Wt and IκBα IEC KO CD4+CD25+ Treg cells were isolated using the above-mentioned Regulatory T Cell Isolation Kit (Miltenyi Biotec, 130-091-041). ..

    Tissue:

    Article Title: Early infiltration of ischemia-conditioned Tregs attenuates BBB damage via suppressing neutrophil extracellular traps in ischemic stroke.
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Anti-alpha smooth muscle actin antibody Abcam Cat# ab124964; RRID: AB_11129103 Anti-Annexin A1 antibody R&D Cat# NBP2-02357; RRID: AB_3245423 Anti-Annexin A1 antibody Proteintech Cat# 21990-1-AP; RRID: AB_11182596 Anti-Annexin A1 antibody, APC Biolegend Cat# 831603; RRID: AB_2686933 Anti-BrdU antibody Abcam Cat# ab6326; RRID: AB_305426 Anti-BrdU antibody Thermo Fisher Scientific Cat# B35128; RRID: AB_2536432 Anti-CD106 antibody, FITC Biolegend Cat# 105705; RRID: AB_313206 Anti-CD11b antibody, PE-Cy7 Biolegend Cat# 101216; RRID: AB_312799 Anti-CD127 antibody, BV421 Biolegend Cat# 351309; RRID: AB_10898326 Anti-CD19 antibody, PE Biolegend Cat# 115508; RRID: AB_313643 Anti-CD25 antibody, BV605 BD Bioscience Cat# 563061; RRID: AB_2737982 Anti-CD25 antibody, PE Biolegend Cat# 302606; RRID: AB_314276 Anti-CD28 antibody Thermo Fisher Scientific Cat#14–0281-86; RRID: AB_467192 Anti-CD3e antibody Thermo Fisher Scientific Cat#14–0031-86; RRID: AB_467051 Anti-CD31 antibody R&D Systems Cat# AF3628; RRID: AB_2161028 Anti-CD31 antibody, PE BD Bioscience Cat# 553373; RRID: AB_394819 Anti-CD3 antibody, APC-Cy7 Biolegend Cat# 300425; RRID: AB_830754 Anti-CD3e antibody, FITC BD Bioscience Cat# 553061; RRID: AB_394594 Anti-CD3e antibody, PE-Cy7 Biolegend Cat# 100320; RRID: AB_312685 Anti-CD304 antibody, APC BD Bioscience Cat# 567461; RRID: AB_2916605 Anti-CD4 antibody Abcam Cat# ab183685; RRID: AB_2686917 Anti-CD4 antibody, APC-Cy7 BD Bioscience Cat# 552051; RRID: AB_394331 Anti-CD4 antibody, BUV395 BD Bioscience Cat# 565974; RRID: AB_2739427 Anti-CD4 antibody, FITC Biolegend Cat# 300506; RRID: AB_314074 Anti-CD45 antibody, BV510 BD Bioscience Cat# 563204; RRID: AB_2738067 Anti-CD45 antibody, Pacific Blue Biolegend Cat# 103126; RRID: AB_493535 Anti-CD45 antibody, PerCP Biolegend Cat# 103130; RRID: AB_893339 Anti-CD49d antibody, APC Biolegend Cat# 103621; RRID: AB_2565776 Anti-CD83 antibody Thermo Fisher Scientific Cat# PA5-114994; RRID: AB_2899630 Anti-Dectin-1 antibody Thermo Fisher Scientific Cat# PA5-34382; RRID: AB_2551734 Anti-DLL4 antibody, APC Biolegend Cat# 130813; RRID: AB_2246026 Anti-EphB4 antibody R&D Systems Cat# AF446; RRID: AB_2100105 Anti-FOXP3 antibody Proteintech Cat# 65089-1-Ig; RRID: AB_2918392 Anti-FOXP3 antibody, BV421 Biolegend Cat# 126419; RRID: AB_2565933 Anti-FOXP3 antibody, PE BD Bioscience Cat# 566881; RRID: AB_2869932 Anti-GAS6 antibody Thermo Fisher Scientific Cat# PA5-79300; RRID: AB_2746416 Anti-Helios antibody, PerCP-Cy5.5 Biolegend Cat# 137230; RRID: AB_2561640 Anti-H3Cit antibody Abcam Cat# ab281584 Anti-H3Cit antibody Abcam Cat# ab5103; RRID: AB_304752 Anti-H3Cit antibody, Alexa Fluro 488 Thermo Fisher Scientific Cat# 53–9124-82; RRID: AB_2784759 Anti-IgG isotype antibody Abcam Cat# ab37415; RRID: AB_2631996 Anti-Integrin alpha4 antibody Proteintech Cat# 19676-1-AP; RRID: AB_10640907 Anti-ITGA4 antibody Abcam Cat# ab202969 Anti-Ly6G antibody BioXcell Cat# BE0075-1; RRID: AB_1107721 (Continued on next page) Cell Reports 45, 118102, October 27, 2026 23 .. REAGENT or RESOURCE SOURCE IDENTIFIER Anti-Ly6G antibody Proteintech Cat# 65140-1-Ig; RRID: AB_2881475 Anti-Ly6G antibody, PerCP-Cy5.5 Biolegend Cat# 127616; RRID: AB_1877271 Anti-OCCLUDIN antibody Thermo Fisher Scientific Cat# 40–4700; RRID: AB_2533468 Anti-VCAM1 antibody Abcam Cat# ab134047; RRID: AB_2721053 Anti-VCAM1 antibody BioXcell Cat# BE0027; RRID: AB_1107572 Anti-VSIG4 antibody Abcam Cat# ab252933 Anti-ZO1 antibody Abcam Cat# ab221547; RRID: AB_2892660 Chemicals, peptides, and recombinant proteins Annexin A1 MedChemExpress Cat# HY-P72078 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 Diphtheria Toxin Sigma-Aldrich Cat#D0564 DNase 1 ProSpec-Tany Cat#ENZ-319 FITC-conjugated dextran Sigma-Aldrich Cat#FD4 HMN-154 MedChemExpress Cat#173528–92-2 IL-2 Thermo Fisher Scientific Cat#34–8021-85 L-Glutamine Thermo Fisher Scientific Cat#11875093 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 NVP-DKY709 MedChemExpress Cat#2291360–73-9 Percoll GE Healthcare Cat#17–0891-01 PLX5622 Chemgood Cat#C-1521 Pyruvate sodium Thermo Fisher Scientific Cat#11360070 RITC-conjugated dextran Sigma-Aldrich Cat#R8881 5′-bromo-2′-deoxy-uridine Sigma-Aldrich Cat# B5002 Critical commercial assays Adult Brain Dissociation Kit Miltenyi Biotec Cat# 130–107-677 CD4+CD25+ Regulatory T Cell Isolation Kit, mouse Miltenyi Biotec Cat# 130–091-041 Fixation/Permeabilization kit Thermo Fisher Scientific Cat# 00–5521-00 Neural Tissue Dissociation Kit Miltenyi Biotec Cat# 130–093-231 Mouse cytokine array Panel A R&D Systems Cat# ARY028 UltraComp compensation Beads Thermo Fisher Scientific Cat# 01–2222-42 Experimental models: Cell lines bEnd.3 endothelial cell line Zhong Qiao Xin Zhou Cat# ZQ0090 Deposited data Raw data files for RNA-seq of splenic Tregs from mice This paper SRA: PRJNA1521662 Raw data files for ATAC-seq of splenic Tregs from mice This paper SRA: PRJNA1521868 Raw data files for scRNA-seq of brain CD45high immune cells from mice This paper SRA: PRJNA1523069 Raw data files for RNA-seq of peripheral blood Tregs from patients This paper CNGB: CNP0010139 Experimental models: Organisms/strains Mouse: Anxa1-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-200681 Mouse: Clec7a-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-190219 Mouse: C57BL/6 (male and female) SLAC Laboratory Cat# C57BL/6Slac Mouse: C57BL/6 (Aged) Charles River Laboratories Cat# 219 Mouse: dCas9 Shanghai Model Organisms Center, Inc Stock: NM-KI-00087 (Continued on next page) 24 Cell Reports 45, 118102, October 27, 2026 ..

    Ab Array:

    Article Title: Early infiltration of ischemia-conditioned Tregs attenuates BBB damage via suppressing neutrophil extracellular traps in ischemic stroke.
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Anti-alpha smooth muscle actin antibody Abcam Cat# ab124964; RRID: AB_11129103 Anti-Annexin A1 antibody R&D Cat# NBP2-02357; RRID: AB_3245423 Anti-Annexin A1 antibody Proteintech Cat# 21990-1-AP; RRID: AB_11182596 Anti-Annexin A1 antibody, APC Biolegend Cat# 831603; RRID: AB_2686933 Anti-BrdU antibody Abcam Cat# ab6326; RRID: AB_305426 Anti-BrdU antibody Thermo Fisher Scientific Cat# B35128; RRID: AB_2536432 Anti-CD106 antibody, FITC Biolegend Cat# 105705; RRID: AB_313206 Anti-CD11b antibody, PE-Cy7 Biolegend Cat# 101216; RRID: AB_312799 Anti-CD127 antibody, BV421 Biolegend Cat# 351309; RRID: AB_10898326 Anti-CD19 antibody, PE Biolegend Cat# 115508; RRID: AB_313643 Anti-CD25 antibody, BV605 BD Bioscience Cat# 563061; RRID: AB_2737982 Anti-CD25 antibody, PE Biolegend Cat# 302606; RRID: AB_314276 Anti-CD28 antibody Thermo Fisher Scientific Cat#14–0281-86; RRID: AB_467192 Anti-CD3e antibody Thermo Fisher Scientific Cat#14–0031-86; RRID: AB_467051 Anti-CD31 antibody R&D Systems Cat# AF3628; RRID: AB_2161028 Anti-CD31 antibody, PE BD Bioscience Cat# 553373; RRID: AB_394819 Anti-CD3 antibody, APC-Cy7 Biolegend Cat# 300425; RRID: AB_830754 Anti-CD3e antibody, FITC BD Bioscience Cat# 553061; RRID: AB_394594 Anti-CD3e antibody, PE-Cy7 Biolegend Cat# 100320; RRID: AB_312685 Anti-CD304 antibody, APC BD Bioscience Cat# 567461; RRID: AB_2916605 Anti-CD4 antibody Abcam Cat# ab183685; RRID: AB_2686917 Anti-CD4 antibody, APC-Cy7 BD Bioscience Cat# 552051; RRID: AB_394331 Anti-CD4 antibody, BUV395 BD Bioscience Cat# 565974; RRID: AB_2739427 Anti-CD4 antibody, FITC Biolegend Cat# 300506; RRID: AB_314074 Anti-CD45 antibody, BV510 BD Bioscience Cat# 563204; RRID: AB_2738067 Anti-CD45 antibody, Pacific Blue Biolegend Cat# 103126; RRID: AB_493535 Anti-CD45 antibody, PerCP Biolegend Cat# 103130; RRID: AB_893339 Anti-CD49d antibody, APC Biolegend Cat# 103621; RRID: AB_2565776 Anti-CD83 antibody Thermo Fisher Scientific Cat# PA5-114994; RRID: AB_2899630 Anti-Dectin-1 antibody Thermo Fisher Scientific Cat# PA5-34382; RRID: AB_2551734 Anti-DLL4 antibody, APC Biolegend Cat# 130813; RRID: AB_2246026 Anti-EphB4 antibody R&D Systems Cat# AF446; RRID: AB_2100105 Anti-FOXP3 antibody Proteintech Cat# 65089-1-Ig; RRID: AB_2918392 Anti-FOXP3 antibody, BV421 Biolegend Cat# 126419; RRID: AB_2565933 Anti-FOXP3 antibody, PE BD Bioscience Cat# 566881; RRID: AB_2869932 Anti-GAS6 antibody Thermo Fisher Scientific Cat# PA5-79300; RRID: AB_2746416 Anti-Helios antibody, PerCP-Cy5.5 Biolegend Cat# 137230; RRID: AB_2561640 Anti-H3Cit antibody Abcam Cat# ab281584 Anti-H3Cit antibody Abcam Cat# ab5103; RRID: AB_304752 Anti-H3Cit antibody, Alexa Fluro 488 Thermo Fisher Scientific Cat# 53–9124-82; RRID: AB_2784759 Anti-IgG isotype antibody Abcam Cat# ab37415; RRID: AB_2631996 Anti-Integrin alpha4 antibody Proteintech Cat# 19676-1-AP; RRID: AB_10640907 Anti-ITGA4 antibody Abcam Cat# ab202969 Anti-Ly6G antibody BioXcell Cat# BE0075-1; RRID: AB_1107721 (Continued on next page) Cell Reports 45, 118102, October 27, 2026 23 .. REAGENT or RESOURCE SOURCE IDENTIFIER Anti-Ly6G antibody Proteintech Cat# 65140-1-Ig; RRID: AB_2881475 Anti-Ly6G antibody, PerCP-Cy5.5 Biolegend Cat# 127616; RRID: AB_1877271 Anti-OCCLUDIN antibody Thermo Fisher Scientific Cat# 40–4700; RRID: AB_2533468 Anti-VCAM1 antibody Abcam Cat# ab134047; RRID: AB_2721053 Anti-VCAM1 antibody BioXcell Cat# BE0027; RRID: AB_1107572 Anti-VSIG4 antibody Abcam Cat# ab252933 Anti-ZO1 antibody Abcam Cat# ab221547; RRID: AB_2892660 Chemicals, peptides, and recombinant proteins Annexin A1 MedChemExpress Cat# HY-P72078 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 Diphtheria Toxin Sigma-Aldrich Cat#D0564 DNase 1 ProSpec-Tany Cat#ENZ-319 FITC-conjugated dextran Sigma-Aldrich Cat#FD4 HMN-154 MedChemExpress Cat#173528–92-2 IL-2 Thermo Fisher Scientific Cat#34–8021-85 L-Glutamine Thermo Fisher Scientific Cat#11875093 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 NVP-DKY709 MedChemExpress Cat#2291360–73-9 Percoll GE Healthcare Cat#17–0891-01 PLX5622 Chemgood Cat#C-1521 Pyruvate sodium Thermo Fisher Scientific Cat#11360070 RITC-conjugated dextran Sigma-Aldrich Cat#R8881 5′-bromo-2′-deoxy-uridine Sigma-Aldrich Cat# B5002 Critical commercial assays Adult Brain Dissociation Kit Miltenyi Biotec Cat# 130–107-677 CD4+CD25+ Regulatory T Cell Isolation Kit, mouse Miltenyi Biotec Cat# 130–091-041 Fixation/Permeabilization kit Thermo Fisher Scientific Cat# 00–5521-00 Neural Tissue Dissociation Kit Miltenyi Biotec Cat# 130–093-231 Mouse cytokine array Panel A R&D Systems Cat# ARY028 UltraComp compensation Beads Thermo Fisher Scientific Cat# 01–2222-42 Experimental models: Cell lines bEnd.3 endothelial cell line Zhong Qiao Xin Zhou Cat# ZQ0090 Deposited data Raw data files for RNA-seq of splenic Tregs from mice This paper SRA: PRJNA1521662 Raw data files for ATAC-seq of splenic Tregs from mice This paper SRA: PRJNA1521868 Raw data files for scRNA-seq of brain CD45high immune cells from mice This paper SRA: PRJNA1523069 Raw data files for RNA-seq of peripheral blood Tregs from patients This paper CNGB: CNP0010139 Experimental models: Organisms/strains Mouse: Anxa1-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-200681 Mouse: Clec7a-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-190219 Mouse: C57BL/6 (male and female) SLAC Laboratory Cat# C57BL/6Slac Mouse: C57BL/6 (Aged) Charles River Laboratories Cat# 219 Mouse: dCas9 Shanghai Model Organisms Center, Inc Stock: NM-KI-00087 (Continued on next page) 24 Cell Reports 45, 118102, October 27, 2026 ..

    RNA Sequencing:

    Article Title: Early infiltration of ischemia-conditioned Tregs attenuates BBB damage via suppressing neutrophil extracellular traps in ischemic stroke.
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Anti-alpha smooth muscle actin antibody Abcam Cat# ab124964; RRID: AB_11129103 Anti-Annexin A1 antibody R&D Cat# NBP2-02357; RRID: AB_3245423 Anti-Annexin A1 antibody Proteintech Cat# 21990-1-AP; RRID: AB_11182596 Anti-Annexin A1 antibody, APC Biolegend Cat# 831603; RRID: AB_2686933 Anti-BrdU antibody Abcam Cat# ab6326; RRID: AB_305426 Anti-BrdU antibody Thermo Fisher Scientific Cat# B35128; RRID: AB_2536432 Anti-CD106 antibody, FITC Biolegend Cat# 105705; RRID: AB_313206 Anti-CD11b antibody, PE-Cy7 Biolegend Cat# 101216; RRID: AB_312799 Anti-CD127 antibody, BV421 Biolegend Cat# 351309; RRID: AB_10898326 Anti-CD19 antibody, PE Biolegend Cat# 115508; RRID: AB_313643 Anti-CD25 antibody, BV605 BD Bioscience Cat# 563061; RRID: AB_2737982 Anti-CD25 antibody, PE Biolegend Cat# 302606; RRID: AB_314276 Anti-CD28 antibody Thermo Fisher Scientific Cat#14–0281-86; RRID: AB_467192 Anti-CD3e antibody Thermo Fisher Scientific Cat#14–0031-86; RRID: AB_467051 Anti-CD31 antibody R&D Systems Cat# AF3628; RRID: AB_2161028 Anti-CD31 antibody, PE BD Bioscience Cat# 553373; RRID: AB_394819 Anti-CD3 antibody, APC-Cy7 Biolegend Cat# 300425; RRID: AB_830754 Anti-CD3e antibody, FITC BD Bioscience Cat# 553061; RRID: AB_394594 Anti-CD3e antibody, PE-Cy7 Biolegend Cat# 100320; RRID: AB_312685 Anti-CD304 antibody, APC BD Bioscience Cat# 567461; RRID: AB_2916605 Anti-CD4 antibody Abcam Cat# ab183685; RRID: AB_2686917 Anti-CD4 antibody, APC-Cy7 BD Bioscience Cat# 552051; RRID: AB_394331 Anti-CD4 antibody, BUV395 BD Bioscience Cat# 565974; RRID: AB_2739427 Anti-CD4 antibody, FITC Biolegend Cat# 300506; RRID: AB_314074 Anti-CD45 antibody, BV510 BD Bioscience Cat# 563204; RRID: AB_2738067 Anti-CD45 antibody, Pacific Blue Biolegend Cat# 103126; RRID: AB_493535 Anti-CD45 antibody, PerCP Biolegend Cat# 103130; RRID: AB_893339 Anti-CD49d antibody, APC Biolegend Cat# 103621; RRID: AB_2565776 Anti-CD83 antibody Thermo Fisher Scientific Cat# PA5-114994; RRID: AB_2899630 Anti-Dectin-1 antibody Thermo Fisher Scientific Cat# PA5-34382; RRID: AB_2551734 Anti-DLL4 antibody, APC Biolegend Cat# 130813; RRID: AB_2246026 Anti-EphB4 antibody R&D Systems Cat# AF446; RRID: AB_2100105 Anti-FOXP3 antibody Proteintech Cat# 65089-1-Ig; RRID: AB_2918392 Anti-FOXP3 antibody, BV421 Biolegend Cat# 126419; RRID: AB_2565933 Anti-FOXP3 antibody, PE BD Bioscience Cat# 566881; RRID: AB_2869932 Anti-GAS6 antibody Thermo Fisher Scientific Cat# PA5-79300; RRID: AB_2746416 Anti-Helios antibody, PerCP-Cy5.5 Biolegend Cat# 137230; RRID: AB_2561640 Anti-H3Cit antibody Abcam Cat# ab281584 Anti-H3Cit antibody Abcam Cat# ab5103; RRID: AB_304752 Anti-H3Cit antibody, Alexa Fluro 488 Thermo Fisher Scientific Cat# 53–9124-82; RRID: AB_2784759 Anti-IgG isotype antibody Abcam Cat# ab37415; RRID: AB_2631996 Anti-Integrin alpha4 antibody Proteintech Cat# 19676-1-AP; RRID: AB_10640907 Anti-ITGA4 antibody Abcam Cat# ab202969 Anti-Ly6G antibody BioXcell Cat# BE0075-1; RRID: AB_1107721 (Continued on next page) Cell Reports 45, 118102, October 27, 2026 23 .. REAGENT or RESOURCE SOURCE IDENTIFIER Anti-Ly6G antibody Proteintech Cat# 65140-1-Ig; RRID: AB_2881475 Anti-Ly6G antibody, PerCP-Cy5.5 Biolegend Cat# 127616; RRID: AB_1877271 Anti-OCCLUDIN antibody Thermo Fisher Scientific Cat# 40–4700; RRID: AB_2533468 Anti-VCAM1 antibody Abcam Cat# ab134047; RRID: AB_2721053 Anti-VCAM1 antibody BioXcell Cat# BE0027; RRID: AB_1107572 Anti-VSIG4 antibody Abcam Cat# ab252933 Anti-ZO1 antibody Abcam Cat# ab221547; RRID: AB_2892660 Chemicals, peptides, and recombinant proteins Annexin A1 MedChemExpress Cat# HY-P72078 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 Diphtheria Toxin Sigma-Aldrich Cat#D0564 DNase 1 ProSpec-Tany Cat#ENZ-319 FITC-conjugated dextran Sigma-Aldrich Cat#FD4 HMN-154 MedChemExpress Cat#173528–92-2 IL-2 Thermo Fisher Scientific Cat#34–8021-85 L-Glutamine Thermo Fisher Scientific Cat#11875093 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 NVP-DKY709 MedChemExpress Cat#2291360–73-9 Percoll GE Healthcare Cat#17–0891-01 PLX5622 Chemgood Cat#C-1521 Pyruvate sodium Thermo Fisher Scientific Cat#11360070 RITC-conjugated dextran Sigma-Aldrich Cat#R8881 5′-bromo-2′-deoxy-uridine Sigma-Aldrich Cat# B5002 Critical commercial assays Adult Brain Dissociation Kit Miltenyi Biotec Cat# 130–107-677 CD4+CD25+ Regulatory T Cell Isolation Kit, mouse Miltenyi Biotec Cat# 130–091-041 Fixation/Permeabilization kit Thermo Fisher Scientific Cat# 00–5521-00 Neural Tissue Dissociation Kit Miltenyi Biotec Cat# 130–093-231 Mouse cytokine array Panel A R&D Systems Cat# ARY028 UltraComp compensation Beads Thermo Fisher Scientific Cat# 01–2222-42 Experimental models: Cell lines bEnd.3 endothelial cell line Zhong Qiao Xin Zhou Cat# ZQ0090 Deposited data Raw data files for RNA-seq of splenic Tregs from mice This paper SRA: PRJNA1521662 Raw data files for ATAC-seq of splenic Tregs from mice This paper SRA: PRJNA1521868 Raw data files for scRNA-seq of brain CD45high immune cells from mice This paper SRA: PRJNA1523069 Raw data files for RNA-seq of peripheral blood Tregs from patients This paper CNGB: CNP0010139 Experimental models: Organisms/strains Mouse: Anxa1-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-200681 Mouse: Clec7a-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-190219 Mouse: C57BL/6 (male and female) SLAC Laboratory Cat# C57BL/6Slac Mouse: C57BL/6 (Aged) Charles River Laboratories Cat# 219 Mouse: dCas9 Shanghai Model Organisms Center, Inc Stock: NM-KI-00087 (Continued on next page) 24 Cell Reports 45, 118102, October 27, 2026 ..

    ATAC-seq:

    Article Title: Early infiltration of ischemia-conditioned Tregs attenuates BBB damage via suppressing neutrophil extracellular traps in ischemic stroke.
    Article Snippet: REAGENT or RESOURCE SOURCE IDENTIFIER Antibodies Anti-alpha smooth muscle actin antibody Abcam Cat# ab124964; RRID: AB_11129103 Anti-Annexin A1 antibody R&D Cat# NBP2-02357; RRID: AB_3245423 Anti-Annexin A1 antibody Proteintech Cat# 21990-1-AP; RRID: AB_11182596 Anti-Annexin A1 antibody, APC Biolegend Cat# 831603; RRID: AB_2686933 Anti-BrdU antibody Abcam Cat# ab6326; RRID: AB_305426 Anti-BrdU antibody Thermo Fisher Scientific Cat# B35128; RRID: AB_2536432 Anti-CD106 antibody, FITC Biolegend Cat# 105705; RRID: AB_313206 Anti-CD11b antibody, PE-Cy7 Biolegend Cat# 101216; RRID: AB_312799 Anti-CD127 antibody, BV421 Biolegend Cat# 351309; RRID: AB_10898326 Anti-CD19 antibody, PE Biolegend Cat# 115508; RRID: AB_313643 Anti-CD25 antibody, BV605 BD Bioscience Cat# 563061; RRID: AB_2737982 Anti-CD25 antibody, PE Biolegend Cat# 302606; RRID: AB_314276 Anti-CD28 antibody Thermo Fisher Scientific Cat#14–0281-86; RRID: AB_467192 Anti-CD3e antibody Thermo Fisher Scientific Cat#14–0031-86; RRID: AB_467051 Anti-CD31 antibody R&D Systems Cat# AF3628; RRID: AB_2161028 Anti-CD31 antibody, PE BD Bioscience Cat# 553373; RRID: AB_394819 Anti-CD3 antibody, APC-Cy7 Biolegend Cat# 300425; RRID: AB_830754 Anti-CD3e antibody, FITC BD Bioscience Cat# 553061; RRID: AB_394594 Anti-CD3e antibody, PE-Cy7 Biolegend Cat# 100320; RRID: AB_312685 Anti-CD304 antibody, APC BD Bioscience Cat# 567461; RRID: AB_2916605 Anti-CD4 antibody Abcam Cat# ab183685; RRID: AB_2686917 Anti-CD4 antibody, APC-Cy7 BD Bioscience Cat# 552051; RRID: AB_394331 Anti-CD4 antibody, BUV395 BD Bioscience Cat# 565974; RRID: AB_2739427 Anti-CD4 antibody, FITC Biolegend Cat# 300506; RRID: AB_314074 Anti-CD45 antibody, BV510 BD Bioscience Cat# 563204; RRID: AB_2738067 Anti-CD45 antibody, Pacific Blue Biolegend Cat# 103126; RRID: AB_493535 Anti-CD45 antibody, PerCP Biolegend Cat# 103130; RRID: AB_893339 Anti-CD49d antibody, APC Biolegend Cat# 103621; RRID: AB_2565776 Anti-CD83 antibody Thermo Fisher Scientific Cat# PA5-114994; RRID: AB_2899630 Anti-Dectin-1 antibody Thermo Fisher Scientific Cat# PA5-34382; RRID: AB_2551734 Anti-DLL4 antibody, APC Biolegend Cat# 130813; RRID: AB_2246026 Anti-EphB4 antibody R&D Systems Cat# AF446; RRID: AB_2100105 Anti-FOXP3 antibody Proteintech Cat# 65089-1-Ig; RRID: AB_2918392 Anti-FOXP3 antibody, BV421 Biolegend Cat# 126419; RRID: AB_2565933 Anti-FOXP3 antibody, PE BD Bioscience Cat# 566881; RRID: AB_2869932 Anti-GAS6 antibody Thermo Fisher Scientific Cat# PA5-79300; RRID: AB_2746416 Anti-Helios antibody, PerCP-Cy5.5 Biolegend Cat# 137230; RRID: AB_2561640 Anti-H3Cit antibody Abcam Cat# ab281584 Anti-H3Cit antibody Abcam Cat# ab5103; RRID: AB_304752 Anti-H3Cit antibody, Alexa Fluro 488 Thermo Fisher Scientific Cat# 53–9124-82; RRID: AB_2784759 Anti-IgG isotype antibody Abcam Cat# ab37415; RRID: AB_2631996 Anti-Integrin alpha4 antibody Proteintech Cat# 19676-1-AP; RRID: AB_10640907 Anti-ITGA4 antibody Abcam Cat# ab202969 Anti-Ly6G antibody BioXcell Cat# BE0075-1; RRID: AB_1107721 (Continued on next page) Cell Reports 45, 118102, October 27, 2026 23 .. REAGENT or RESOURCE SOURCE IDENTIFIER Anti-Ly6G antibody Proteintech Cat# 65140-1-Ig; RRID: AB_2881475 Anti-Ly6G antibody, PerCP-Cy5.5 Biolegend Cat# 127616; RRID: AB_1877271 Anti-OCCLUDIN antibody Thermo Fisher Scientific Cat# 40–4700; RRID: AB_2533468 Anti-VCAM1 antibody Abcam Cat# ab134047; RRID: AB_2721053 Anti-VCAM1 antibody BioXcell Cat# BE0027; RRID: AB_1107572 Anti-VSIG4 antibody Abcam Cat# ab252933 Anti-ZO1 antibody Abcam Cat# ab221547; RRID: AB_2892660 Chemicals, peptides, and recombinant proteins Annexin A1 MedChemExpress Cat# HY-P72078 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 Diphtheria Toxin Sigma-Aldrich Cat#D0564 DNase 1 ProSpec-Tany Cat#ENZ-319 FITC-conjugated dextran Sigma-Aldrich Cat#FD4 HMN-154 MedChemExpress Cat#173528–92-2 IL-2 Thermo Fisher Scientific Cat#34–8021-85 L-Glutamine Thermo Fisher Scientific Cat#11875093 β-mercaptoethanol Thermo Fisher Scientific Cat#21985023 NVP-DKY709 MedChemExpress Cat#2291360–73-9 Percoll GE Healthcare Cat#17–0891-01 PLX5622 Chemgood Cat#C-1521 Pyruvate sodium Thermo Fisher Scientific Cat#11360070 RITC-conjugated dextran Sigma-Aldrich Cat#R8881 5′-bromo-2′-deoxy-uridine Sigma-Aldrich Cat# B5002 Critical commercial assays Adult Brain Dissociation Kit Miltenyi Biotec Cat# 130–107-677 CD4+CD25+ Regulatory T Cell Isolation Kit, mouse Miltenyi Biotec Cat# 130–091-041 Fixation/Permeabilization kit Thermo Fisher Scientific Cat# 00–5521-00 Neural Tissue Dissociation Kit Miltenyi Biotec Cat# 130–093-231 Mouse cytokine array Panel A R&D Systems Cat# ARY028 UltraComp compensation Beads Thermo Fisher Scientific Cat# 01–2222-42 Experimental models: Cell lines bEnd.3 endothelial cell line Zhong Qiao Xin Zhou Cat# ZQ0090 Deposited data Raw data files for RNA-seq of splenic Tregs from mice This paper SRA: PRJNA1521662 Raw data files for ATAC-seq of splenic Tregs from mice This paper SRA: PRJNA1521868 Raw data files for scRNA-seq of brain CD45high immune cells from mice This paper SRA: PRJNA1523069 Raw data files for RNA-seq of peripheral blood Tregs from patients This paper CNGB: CNP0010139 Experimental models: Organisms/strains Mouse: Anxa1-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-200681 Mouse: Clec7a-KO Shanghai Model Organisms Center, Inc Stock: NM-KO-190219 Mouse: C57BL/6 (male and female) SLAC Laboratory Cat# C57BL/6Slac Mouse: C57BL/6 (Aged) Charles River Laboratories Cat# 219 Mouse: dCas9 Shanghai Model Organisms Center, Inc Stock: NM-KI-00087 (Continued on next page) 24 Cell Reports 45, 118102, October 27, 2026 ..

    other:

    Article Title: Guilu Erxian Glue Restores Immune Homeostasis in Aplastic Anemia Mice by Regulating Treg Lineage Stability via the miRNA-17/10a and FasL/Fas Signaling Pathways
    Article Snippet: Tregs underwent purification using MACS (Miltenyi, 130–091-041, Germany).

    Isolation:

    Article Title: Optimizing CRISPR–Cas9-mediated TCR knockout in primary mouse CD8+, CD4+, and regulatory T cells
    Article Snippet: .. Mouse CD4+ CD25+ Treg cells were isolated from splenocyte single-cell suspensions using the CD4+ CD25+ Regulatory T Cell Isolation Kit (130-091- 041; Miltenyi Biotec) according to the manufacturer ́s instructions. .. Enriched CD4+ CD25+ Treg cells were activated using the Dynabeads Mouse T-Activator CD3/CD28 activation beads (11456D; Gibco) in beads-to-cell ratio of 2:1.

    Article Title: Notch2-expressing regulatory T cells attenuate allergic rhinitis by downregulating MHC class II expression on dendritic cells.
    Article Snippet: Aims: To investigate the role of Notch2-expressing regulatory T cells (Notch2 Tregs) in modulating the function of dendritic cells (DCs) and their impact on the development of allergic rhinitis (AR).. Methods: Peripheral blood mononuclear cells (PBMC) from patients with allergic rhinitis (AR) and Control groups were analyzed by flow cytometry to quantify Notch2 Tregs.. Murine T cells were isolated and transduced with a lentiviral vector overexpressing Notch2 to assess changes in the immunosuppressive function of Tregs.

    Article Title: Antigen-Specific Chimeric Antigen Receptor-T Regulatory Cells Home to Human Islets, Suppress Cytotoxic T Lymphocytes and Reverse Type 1 Diabetes.
    Article Snippet: Background: We have developed pancreatic beta-cell, antigen-specific, chimeric antigen receptor (CAR) T regulatory cells (Tregs) and explored their therapeutic potential for type 1 diabetes (T1D)/latent autoimmune diabetes of adults (LADA) in human pancreatic tissues ex vivo, and in a spontaneous humanized mouse model (T1D mice) in vivo.. Results: Using live-cell imaging, we observed these glutamic acid decarboxylase, 65 kD isoform (GAD65)-CAR-Tregs home to human pancreatic islets exvivo and proliferate upon encountering the cognate GAD65 antigen in the islets.. Furthermore, human pancreatic-islet activated GAD65-CAR-Tregs also suppressed human T1D cytotoxic T lymphocytes in co-cultures.

    Article Title: Epithelial NF-κB shapes protective Treg cell responses to restrain intestinal inflammation.
    Article Snippet: Total andmigrated cells were visualized with Zeiss Axio Observer 7 and quantified with ImageJ 2.1 (Fiji). .. Murine ActDsRed CD4+ T-cells, Wt and IκBα IEC KO CD4+CD25+ Treg cells were isolated using the above-mentioned Regulatory T Cell Isolation Kit (Miltenyi Biotec, 130-091-041). ..

    Single Cell:

    Article Title: Optimizing CRISPR–Cas9-mediated TCR knockout in primary mouse CD8+, CD4+, and regulatory T cells
    Article Snippet: .. Mouse CD4+ CD25+ Treg cells were isolated from splenocyte single-cell suspensions using the CD4+ CD25+ Regulatory T Cell Isolation Kit (130-091- 041; Miltenyi Biotec) according to the manufacturer ́s instructions. .. Enriched CD4+ CD25+ Treg cells were activated using the Dynabeads Mouse T-Activator CD3/CD28 activation beads (11456D; Gibco) in beads-to-cell ratio of 2:1.

    Gene Knockout:

    Article Title: Epithelial NF-κB shapes protective Treg cell responses to restrain intestinal inflammation.
    Article Snippet: Total andmigrated cells were visualized with Zeiss Axio Observer 7 and quantified with ImageJ 2.1 (Fiji). .. Murine ActDsRed CD4+ T-cells, Wt and IκBα IEC KO CD4+CD25+ Treg cells were isolated using the above-mentioned Regulatory T Cell Isolation Kit (Miltenyi Biotec, 130-091-041). ..



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    Image Search Results


    Human T cell lines used in this study.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: Human T cell lines used in this study.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Generated, Cell Culture

    Continuous TGF-β exposure augmented CD25 expression and enabled superior IL-2–driven growth of long-term FOXP3 ± T cell cultures. (A, B) CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and 1 nM IL-2 in the presence or absence of 10 nM TGF-β to initiate two long-term lines. TGF-β–cultured T cells and control T cells were then passaged every 3 to 7 d in 1 nM IL-2 with or without 10 nM TGF-β respectively for a total of 38 d. Cells were stained with anti-CD3 PerCP-Cy5.5 (HIT3a), anti-CD4 BV421 (OKT4), anti-CD8 AF700 (SK1), anti-CD25 PE (M-A251), and anti-HLA-DR BUV395 (G46-6). Histograms (A) and bar charts (B) show flow cytometric analyses of cell size (forward scatter) together with CD3, CD4, CD25, and HLA-DR expression (n = 2). (C) Nonfractionated PBMCs (left) and purified CD4 + PBMC T cells (right) were activated and maintained as in panel A for a total of 20 d. To assess IL-2 responsiveness in proliferative assays, TGF-β–cultured T cells and control T cells were incubated with 10 pM–1 nM IL-2 (x-axis) with or without TGF-β in flat-bottomed 96-well plates. Cells were pulsed with [ 3 H]thymidine during the last 24 h of a 72-h culture (counts per minute [CPM]). (D) Independently derived T cell lines were initiated by a 3-d stimulation with PHA (rows 1, 2, 3, and 5) or without mitogen (autologous, row 4). T cells were cultured with 1 nM IL-2 in the presence or absence of 10 nM TGF-β (as designated) from day 0 until the day of analysis (day 12, 26, 38, or 47). Cells were stained with anti-FOXP3 clone PCH101 Alexa Fluor 488. (E) A nonfractionated T cell line was initiated as in panel A followed by continuous propagation in IL-2 and TGF-β for 19 d. Cells were gated on CD3 + and stained with the anti-FOXP3 clone 150D Alexa Fluor 488. Lines used in these experiments were CL2 (A, B), CL1 (C), NL1 (D, rows 1 and 2), CL1 (D, row 3), CL4 (D, row 4), CL2 (D, row 5), and P2 (E). * P < 0.05, ** P < 0.01. FMO, fluorescence minus one; FSC-A, forward scatter area; ns, not significant.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: Continuous TGF-β exposure augmented CD25 expression and enabled superior IL-2–driven growth of long-term FOXP3 ± T cell cultures. (A, B) CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and 1 nM IL-2 in the presence or absence of 10 nM TGF-β to initiate two long-term lines. TGF-β–cultured T cells and control T cells were then passaged every 3 to 7 d in 1 nM IL-2 with or without 10 nM TGF-β respectively for a total of 38 d. Cells were stained with anti-CD3 PerCP-Cy5.5 (HIT3a), anti-CD4 BV421 (OKT4), anti-CD8 AF700 (SK1), anti-CD25 PE (M-A251), and anti-HLA-DR BUV395 (G46-6). Histograms (A) and bar charts (B) show flow cytometric analyses of cell size (forward scatter) together with CD3, CD4, CD25, and HLA-DR expression (n = 2). (C) Nonfractionated PBMCs (left) and purified CD4 + PBMC T cells (right) were activated and maintained as in panel A for a total of 20 d. To assess IL-2 responsiveness in proliferative assays, TGF-β–cultured T cells and control T cells were incubated with 10 pM–1 nM IL-2 (x-axis) with or without TGF-β in flat-bottomed 96-well plates. Cells were pulsed with [ 3 H]thymidine during the last 24 h of a 72-h culture (counts per minute [CPM]). (D) Independently derived T cell lines were initiated by a 3-d stimulation with PHA (rows 1, 2, 3, and 5) or without mitogen (autologous, row 4). T cells were cultured with 1 nM IL-2 in the presence or absence of 10 nM TGF-β (as designated) from day 0 until the day of analysis (day 12, 26, 38, or 47). Cells were stained with anti-FOXP3 clone PCH101 Alexa Fluor 488. (E) A nonfractionated T cell line was initiated as in panel A followed by continuous propagation in IL-2 and TGF-β for 19 d. Cells were gated on CD3 + and stained with the anti-FOXP3 clone 150D Alexa Fluor 488. Lines used in these experiments were CL2 (A, B), CL1 (C), NL1 (D, rows 1 and 2), CL1 (D, row 3), CL4 (D, row 4), CL2 (D, row 5), and P2 (E). * P < 0.05, ** P < 0.01. FMO, fluorescence minus one; FSC-A, forward scatter area; ns, not significant.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Expressing, Purification, Cell Culture, Control, Staining, Incubation, 96 Well Plates, Derivative Assay, Analysis, Fluorescence

    Continual TGF-β exposure supported stable IL-2–dependent expansion of FOXP3 ± T cells. (A–C) PBMCs from 3 donors (P1, P2, and P3) were activated for 3 d with PHA and IL-2 in the presence or absence of 10 nM TGF-β. The respective cell lines were then propagated in IL-2 plus TGF-β versus IL-2 alone per the original culture conditions. Mitogens were not included after the first culture. Cells were passaged at equivalent densities of approximately 100,000 cells/mL. Day 0 represents purification and initiation of PBMC cultures, and each data point represents a cell count and a passage. Cell counts were recorded at each passage until the end of the experiment (day 80) or until cultures were lost due to cell death (A). The calculated expansion from a theoretical single cell (y-axis) is displayed against the number of days in culture (x-axis). The fold expansion for each passage was multiplied across all passages to calculate the total cell expansion from a theoretical single cell. Histograms show flow cytometric analysis on days 11 or 18 (B) and day 65 (C) after staining cells with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD69 PE (FN50), CD80 BV711 (2D10), CD86 BV650 (FUN-1), CTLA4 AF647 (BN13), PDL2 PE-Cy7 (MIH18), PD1 PE-Cy5 (EH12.2H7), HLA-DR BUV395 (G46-6), and FOXP3 AF488 (PCH101). (D) Nonfractionated PBMCs from a healthy volunteer were seeded at 50,000 cells/well in LymphoOne medium in a flat-bottomed 96-well plate (n = 4) and cultured with 10 nM IL-2, 1 nM IL-4, and 1 nM GM-CSF with or without 10 nM TGF-β. Cells were passaged with new media and cytokines after approximately 7 d. Cell counts were initiated once growth was visually evident, and lines were passaged into T12.5 or T25 flasks for the remainder of experiment with 1 nM IL-2 with or without 10 nM TGF-β. IL-4 and GM-CSF were discontinued after 2 wk of culture. T cell expansion calculations were performed as in panel A. (E) The surviving T-APC line at day 40 in panel D is the same line portrayed in panel E (red diamonds). This culture exhibited sustained exponential growth through day 40 and was subsequently propagated through day 120 for a total 10 22 -fold expansion. (F) CD3 + CD4 + JL3.C2 T-APCs and human PBMCs (frozen stocks from a healthy human volunteer) were stained with CD3 BV510 (SK7), CD4 BV421 (OKT4), CD8 SB574 (SK1), CD19 StarBright UV795 (HIB19), CD25 APC-Fire 750 (BC96), FOXP3 Alexa Fluor 488 (150D), and BCL6 Alexa Fluor 647 (IG191E/A8). T-APCs were compared with CD3 + CD4 + and CD3 − CD19 + gated T and B cell PBMC subsets, respectively. (G, H) The phenotypes of a control CD4-purified T-APC line (day 33) and the CD8 + T-APC line from panel E (day 83) were assessed with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), HLA-A2 NovaFluor Yellow 730 (BB7.2), FOXP3 AF488 (150D), BCL6 AF647 (K112-91), FASL BUV615 (NOK-1), FAS BUV737 (DX2), CD86 BV650 (FUN-1), CXCR5 BV605 (MU5UBEE), CD69 PE (FN50), and PD1 PE-Cy5 (EH12.2H7). Lines used in these experiments were P1, P2, and P3 (A–C), JL3.C2 (F), V1 (E, H), and V3 (G). FMO, fluorescence minus one; FSC-A, forward scatter area.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: Continual TGF-β exposure supported stable IL-2–dependent expansion of FOXP3 ± T cells. (A–C) PBMCs from 3 donors (P1, P2, and P3) were activated for 3 d with PHA and IL-2 in the presence or absence of 10 nM TGF-β. The respective cell lines were then propagated in IL-2 plus TGF-β versus IL-2 alone per the original culture conditions. Mitogens were not included after the first culture. Cells were passaged at equivalent densities of approximately 100,000 cells/mL. Day 0 represents purification and initiation of PBMC cultures, and each data point represents a cell count and a passage. Cell counts were recorded at each passage until the end of the experiment (day 80) or until cultures were lost due to cell death (A). The calculated expansion from a theoretical single cell (y-axis) is displayed against the number of days in culture (x-axis). The fold expansion for each passage was multiplied across all passages to calculate the total cell expansion from a theoretical single cell. Histograms show flow cytometric analysis on days 11 or 18 (B) and day 65 (C) after staining cells with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD69 PE (FN50), CD80 BV711 (2D10), CD86 BV650 (FUN-1), CTLA4 AF647 (BN13), PDL2 PE-Cy7 (MIH18), PD1 PE-Cy5 (EH12.2H7), HLA-DR BUV395 (G46-6), and FOXP3 AF488 (PCH101). (D) Nonfractionated PBMCs from a healthy volunteer were seeded at 50,000 cells/well in LymphoOne medium in a flat-bottomed 96-well plate (n = 4) and cultured with 10 nM IL-2, 1 nM IL-4, and 1 nM GM-CSF with or without 10 nM TGF-β. Cells were passaged with new media and cytokines after approximately 7 d. Cell counts were initiated once growth was visually evident, and lines were passaged into T12.5 or T25 flasks for the remainder of experiment with 1 nM IL-2 with or without 10 nM TGF-β. IL-4 and GM-CSF were discontinued after 2 wk of culture. T cell expansion calculations were performed as in panel A. (E) The surviving T-APC line at day 40 in panel D is the same line portrayed in panel E (red diamonds). This culture exhibited sustained exponential growth through day 40 and was subsequently propagated through day 120 for a total 10 22 -fold expansion. (F) CD3 + CD4 + JL3.C2 T-APCs and human PBMCs (frozen stocks from a healthy human volunteer) were stained with CD3 BV510 (SK7), CD4 BV421 (OKT4), CD8 SB574 (SK1), CD19 StarBright UV795 (HIB19), CD25 APC-Fire 750 (BC96), FOXP3 Alexa Fluor 488 (150D), and BCL6 Alexa Fluor 647 (IG191E/A8). T-APCs were compared with CD3 + CD4 + and CD3 − CD19 + gated T and B cell PBMC subsets, respectively. (G, H) The phenotypes of a control CD4-purified T-APC line (day 33) and the CD8 + T-APC line from panel E (day 83) were assessed with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), HLA-A2 NovaFluor Yellow 730 (BB7.2), FOXP3 AF488 (150D), BCL6 AF647 (K112-91), FASL BUV615 (NOK-1), FAS BUV737 (DX2), CD86 BV650 (FUN-1), CXCR5 BV605 (MU5UBEE), CD69 PE (FN50), and PD1 PE-Cy5 (EH12.2H7). Lines used in these experiments were P1, P2, and P3 (A–C), JL3.C2 (F), V1 (E, H), and V3 (G). FMO, fluorescence minus one; FSC-A, forward scatter area.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Purification, Cell Characterization, Single Cell, Analysis, Staining, Cell Culture, Control, Fluorescence

    A neutralizing anti-CD4 mAb inhibited autologous MHCII-restricted autoantigen recognition and IL-2–dependent growth of CD4 ± T-APCs. (A–G) Distinct CD4 + purified (A, D–G) and CD8 + purified (B) T-APC lines were initiated by a 3-d stimulation with PHA in the presence of 1 nM IL-2 and 10 nM TGF-β. Cells were passaged every 3 to 7 d in the presence of TGF-β and IL-2 for a total of 22 d (A), 80 d (B), 10 to 15 d (D-E), 78 d (F), 23 d (G, left two panels), or 36 d (G, right two panels). Human T cells (A, B, D–G) (50,000 cells/well, unless designated otherwise) or mouse SJL-PLP.1 T cells (C) (10,000 cells/well) were cultured with 10 pM, 100 pM, or 1 nM IL-2 (x-axis) in the presence or absence of anti-CD4 mAbs (OKT4 or RPA-T4) or isotype controls (MPC-11 or MOPC-21) in the presence or absence of 10 nM TGF-β. mAb concentrations were 20 μg/mL unless designated as 10 μg/mL. Cultures were pulsed with [ 3 H]thymidine during the last 24 h of a 5-d or 6-d culture unless designated otherwise. T-APC lines used in these experiments were CL5 (A, D), P2 (B), murine SJL-PLP.1 (C), CL6 (E, F), or CL7 (G). Two-way analysis of variance with a Tukey’s multiple comparisons test was used to assess significance. *** P < 0.001, and **** P < 0.0001 for comparisons of the designated mean value(s) at the same IL-2 concentration. CPM, counts per minute; ns, not significant.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: A neutralizing anti-CD4 mAb inhibited autologous MHCII-restricted autoantigen recognition and IL-2–dependent growth of CD4 ± T-APCs. (A–G) Distinct CD4 + purified (A, D–G) and CD8 + purified (B) T-APC lines were initiated by a 3-d stimulation with PHA in the presence of 1 nM IL-2 and 10 nM TGF-β. Cells were passaged every 3 to 7 d in the presence of TGF-β and IL-2 for a total of 22 d (A), 80 d (B), 10 to 15 d (D-E), 78 d (F), 23 d (G, left two panels), or 36 d (G, right two panels). Human T cells (A, B, D–G) (50,000 cells/well, unless designated otherwise) or mouse SJL-PLP.1 T cells (C) (10,000 cells/well) were cultured with 10 pM, 100 pM, or 1 nM IL-2 (x-axis) in the presence or absence of anti-CD4 mAbs (OKT4 or RPA-T4) or isotype controls (MPC-11 or MOPC-21) in the presence or absence of 10 nM TGF-β. mAb concentrations were 20 μg/mL unless designated as 10 μg/mL. Cultures were pulsed with [ 3 H]thymidine during the last 24 h of a 5-d or 6-d culture unless designated otherwise. T-APC lines used in these experiments were CL5 (A, D), P2 (B), murine SJL-PLP.1 (C), CL6 (E, F), or CL7 (G). Two-way analysis of variance with a Tukey’s multiple comparisons test was used to assess significance. *** P < 0.001, and **** P < 0.0001 for comparisons of the designated mean value(s) at the same IL-2 concentration. CPM, counts per minute; ns, not significant.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Purification, Cell Culture, Analysis, Concentration Assay

    The anti-CD4 mAb RPA-T4 promoted a distinct CD25 low subset that had a diminished T-APC signature. A CD4 + purified T cell line was initiated by a 3-d stimulation with PHA in the presence of 1 nM IL-2 and 10 nM TGF-β. These T cells were passaged in the presence of TGF-β and IL-2 for a total of 53 d (A–F) or 100 d (G). During the last 2 wk, T cells were cultured in the presence of 20 μg/mL RPA-T4 mAb or the isotype control mAb, in the presence of 1 nM IL-2 and 10 nM TGF-β. Cells were stained with CD3 PerCP-Cy5.5 (HIT3a), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 PE (M-A251), and FOXP3 AF488 (150D) (A–F), and/or antibodies against HLA-DR, DP, DQ SparkBlue574 (Tu39), CD86 BV650 (FUN-1), FAS BUV737 (DX2), CTLA4 AF647 (BN13), GITR BV711 (108-17), CXCR5 BV605 (MU5UBEE), PD1 PE-Cy5 (EH12.2H7), CD69 PE (FN50), CD25 APC-Fire750 (BC96), and LAG3 BUV563 (3DS223H). (A, B) Representative FOXP3 × CD25 dotplots are shown with the respective CD25 histograms. (C) Bar charts show mean forward scatter MFI values (left) and CD25 high percentages (right). (D–F) FOXP3 histograms of CD4-gated and CD25 high /CD25 low gated subsets are shown for RPA-T4–treated versus control T cell cultures together with the respective FOXP3 MFI values. (G) Cultures treated with 20 μg/mL RPA-T4 or isotype control mAbs were also compared for other markers in CD25 high versus CD25 low subsets. CD4 + purified T cells from the P3 line (A–F) or the CL1 line (G) were used in these experiments. Analyses were 2-tailed unpaired t tests (C) or 2-way analysis of variance with Tukey’s multiple comparisons tests (F, G). * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC, forward scatter; ns, not significant.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: The anti-CD4 mAb RPA-T4 promoted a distinct CD25 low subset that had a diminished T-APC signature. A CD4 + purified T cell line was initiated by a 3-d stimulation with PHA in the presence of 1 nM IL-2 and 10 nM TGF-β. These T cells were passaged in the presence of TGF-β and IL-2 for a total of 53 d (A–F) or 100 d (G). During the last 2 wk, T cells were cultured in the presence of 20 μg/mL RPA-T4 mAb or the isotype control mAb, in the presence of 1 nM IL-2 and 10 nM TGF-β. Cells were stained with CD3 PerCP-Cy5.5 (HIT3a), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 PE (M-A251), and FOXP3 AF488 (150D) (A–F), and/or antibodies against HLA-DR, DP, DQ SparkBlue574 (Tu39), CD86 BV650 (FUN-1), FAS BUV737 (DX2), CTLA4 AF647 (BN13), GITR BV711 (108-17), CXCR5 BV605 (MU5UBEE), PD1 PE-Cy5 (EH12.2H7), CD69 PE (FN50), CD25 APC-Fire750 (BC96), and LAG3 BUV563 (3DS223H). (A, B) Representative FOXP3 × CD25 dotplots are shown with the respective CD25 histograms. (C) Bar charts show mean forward scatter MFI values (left) and CD25 high percentages (right). (D–F) FOXP3 histograms of CD4-gated and CD25 high /CD25 low gated subsets are shown for RPA-T4–treated versus control T cell cultures together with the respective FOXP3 MFI values. (G) Cultures treated with 20 μg/mL RPA-T4 or isotype control mAbs were also compared for other markers in CD25 high versus CD25 low subsets. CD4 + purified T cells from the P3 line (A–F) or the CL1 line (G) were used in these experiments. Analyses were 2-tailed unpaired t tests (C) or 2-way analysis of variance with Tukey’s multiple comparisons tests (F, G). * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC, forward scatter; ns, not significant.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Purification, Cell Culture, Control, Staining, Analysis

    T-APC lines presented agonistic self-antigens and elicited polyclonal Tcon responses while seeding new T-APC lines. (A) JL3 Tcons were derived from freshly isolated PBMCs that were activated with Con-A and 1 nM IL-2 for 4 to 5 d. Tcons were passaged in 1 nM IL-2 in cRPMI media every 4 to 7 d for an additional 29 d. JL2.C5 T-APCs were derived in the presence of GM-CSF, IL-4, IL-2, and TGF-β (1 nM each). JL2.C5 cells were propagated in IL-2 and TGF-β for a total of 92 d (total expansion 10 7.4 -fold). Cells were stained with CD3 BV510 (SK7), CD4 BUV496 (SK3), CD8 Spark Blue 574 (SK1), CD25 PE-Fire 700 (MA251), HLA-DR Spark PLUS UV395 (L243), and CD40L PE (24-31). (B) JL2.C5 T-APCs (day 102) and JL3 Tcons (day 41 postactivation) were cultured for 24 h in the presence or absence of the anti-MHCII mAb L243 or the isotype control (10 μg/mL). (C) Similarly, JL2.C5 T-APCs (day 136) were cultured for 24 h in the presence or absence of anti-MHCII L243, anti-CD40L 5C8, or the isotype control (10 μg/mL). (D, E) Shown are the growth curves for the JL2.C5 T-APCs and the JL3 Tcon lines. (F) Designated densities (x-axis) of senescent nonexpanding JL2.C5 T-APCs (day 129) were added to 96-well plates with JL3 Tcons (day 16, 10 5 /well) in LymphoOne and 1 nM IL-2. Cells were passaged into 24-well plates on day 11. JL3 Tcon expansion was enumerated on day 18 with CountBright Absolute Counting Beads. (G) Cultures derived from panel F were expanded to T25 flasks, and after 2 to 4 wk 3 of these 18 cultures exhibited blastogenic T cell outgrowth. The initiation of the JL3 Tcon/JL2.C5 T-APC coculture (F) was designated as day 0 for initiation of the JL3.B1, JL3.C2, and JL3.T1 lines. (H) To assess whether the JL3.C2 T cells exhibited T-APC activity, JL3 Tcons (10 5 /well, day 39 out of activation) were cultured with designated densities (x-axis) of irradiated JL3.C2 T-APCs (5 Gy) for 5 d in the absence of exogenous mitogen or antigen. Cultures were pulsed with [ 3 H]thymidine during the last 48 h of culture. (I) T-APC lines CL2.2G4 and JL2.C6 and JL3 Tcon lines were compared with the nascent JL3.C2 T-APC line (day 32) for CD40L expression. (J) JL3.C2 T-APCs were cultured without exogenous TGF-β through day 58 and then were cultured with or without 1 nM TGF-β for 4 d. Cells were then subjected to a 10-day passage in duplicate cultures with 1 nM IL-2 in the presence or absence of 1 nM TGF-β without and without 10% heat-inactivated FBS, with manual counts on days 1, 3, 5, and 7 to 11. Cultures were supplemented with 1 nM IL-2 on day 5. (K) CD4 + JL3.C2 (day 70), CD8 + P3 T-APCs (day 14), murine BW5147α/β − cells, or SeAx cells were cultured in triplicate in a 2-d proliferative assay ([ 3 H]thymidine pulse during the last 24 h) with 1 nM IL-2 in the presence of designated titrations of heat-inactivated FBS. (B, C, I) Data were assessed with 1-way analysis of variance with Sidak’s or Dunnett’s multiple comparison test, respectively. (F, H, J, K) Data were assessed with a 2-way analysis of variance with Sidak’s multiple comparison test. ** P < 0.01, *** P < 0.001, **** P < 0.0001.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: T-APC lines presented agonistic self-antigens and elicited polyclonal Tcon responses while seeding new T-APC lines. (A) JL3 Tcons were derived from freshly isolated PBMCs that were activated with Con-A and 1 nM IL-2 for 4 to 5 d. Tcons were passaged in 1 nM IL-2 in cRPMI media every 4 to 7 d for an additional 29 d. JL2.C5 T-APCs were derived in the presence of GM-CSF, IL-4, IL-2, and TGF-β (1 nM each). JL2.C5 cells were propagated in IL-2 and TGF-β for a total of 92 d (total expansion 10 7.4 -fold). Cells were stained with CD3 BV510 (SK7), CD4 BUV496 (SK3), CD8 Spark Blue 574 (SK1), CD25 PE-Fire 700 (MA251), HLA-DR Spark PLUS UV395 (L243), and CD40L PE (24-31). (B) JL2.C5 T-APCs (day 102) and JL3 Tcons (day 41 postactivation) were cultured for 24 h in the presence or absence of the anti-MHCII mAb L243 or the isotype control (10 μg/mL). (C) Similarly, JL2.C5 T-APCs (day 136) were cultured for 24 h in the presence or absence of anti-MHCII L243, anti-CD40L 5C8, or the isotype control (10 μg/mL). (D, E) Shown are the growth curves for the JL2.C5 T-APCs and the JL3 Tcon lines. (F) Designated densities (x-axis) of senescent nonexpanding JL2.C5 T-APCs (day 129) were added to 96-well plates with JL3 Tcons (day 16, 10 5 /well) in LymphoOne and 1 nM IL-2. Cells were passaged into 24-well plates on day 11. JL3 Tcon expansion was enumerated on day 18 with CountBright Absolute Counting Beads. (G) Cultures derived from panel F were expanded to T25 flasks, and after 2 to 4 wk 3 of these 18 cultures exhibited blastogenic T cell outgrowth. The initiation of the JL3 Tcon/JL2.C5 T-APC coculture (F) was designated as day 0 for initiation of the JL3.B1, JL3.C2, and JL3.T1 lines. (H) To assess whether the JL3.C2 T cells exhibited T-APC activity, JL3 Tcons (10 5 /well, day 39 out of activation) were cultured with designated densities (x-axis) of irradiated JL3.C2 T-APCs (5 Gy) for 5 d in the absence of exogenous mitogen or antigen. Cultures were pulsed with [ 3 H]thymidine during the last 48 h of culture. (I) T-APC lines CL2.2G4 and JL2.C6 and JL3 Tcon lines were compared with the nascent JL3.C2 T-APC line (day 32) for CD40L expression. (J) JL3.C2 T-APCs were cultured without exogenous TGF-β through day 58 and then were cultured with or without 1 nM TGF-β for 4 d. Cells were then subjected to a 10-day passage in duplicate cultures with 1 nM IL-2 in the presence or absence of 1 nM TGF-β without and without 10% heat-inactivated FBS, with manual counts on days 1, 3, 5, and 7 to 11. Cultures were supplemented with 1 nM IL-2 on day 5. (K) CD4 + JL3.C2 (day 70), CD8 + P3 T-APCs (day 14), murine BW5147α/β − cells, or SeAx cells were cultured in triplicate in a 2-d proliferative assay ([ 3 H]thymidine pulse during the last 24 h) with 1 nM IL-2 in the presence of designated titrations of heat-inactivated FBS. (B, C, I) Data were assessed with 1-way analysis of variance with Sidak’s or Dunnett’s multiple comparison test, respectively. (F, H, J, K) Data were assessed with a 2-way analysis of variance with Sidak’s multiple comparison test. ** P < 0.01, *** P < 0.001, **** P < 0.0001.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Derivative Assay, Isolation, Staining, Cell Culture, Control, 96 Well Plates, Counting, Activity Assay, Activation Assay, Irradiation, Expressing, Analysis, Comparison

    Tcon-derived JL3.C2 T-APCs expressed a professional APC phenotype. (A, B) The Tcon-derived JL3.C2 and JL3.B1 T-APC lines were compared with established T-APC lines (JL2.C5 and JL2.C6) and to the parent Tcon line (JL3 Tcon6). (A) Cells were stained with TCRα/β PE/Cy7 (IP26), CD3 BV785 (SK7), CD4 BV421 (OKT4), CD8 Alexa Fluor 700 (SK1), CD28 BV605 (CD28.2), CD25 FITC (M-A251), CD74 PE (LN2), CD80 BV711 (2D10), CD86 BV650 (FUN-1), CD123 PerCP/Fire806 (S18016C), OX40/CD134 PE-Cy5 (ACT35), and HLA-DR Spark PLUS UV395 (L243). (B) Mean MFI values are shown for CD4 and CD8 gated cell lines. Statistical analyses were restricted to CD4 gated values and were assessed by 1-way analysis of variance with Tukey’s multiple comparison test. ** P < 0.01, *** P < 0.001, **** P < 0.0001. (C, D) JL3.C2 T-APCs and PBMCs (day 0, no culture) were stained with TCRα/β PE/Cy7 (IP26), CD3 BV510 (SK7), CD4 BV421 (OKT4), CD8 Spark Blue 574 (SK1), CD11b StarBright UV575 (M1/70), CD11c BV785 (Bu15), CD14 PE/Fire 700 (S18004B), CD19 StarBright UV795 (HIB19), CD25 APC/Fire 750 (BC96), CD74 PE (LN2), CD80 BV711 (2D10), CD86 BV650 (IT2.2), CD278 BV605 (C398.4A), and HLA-DR Spark Plus UV395 (L243). The same flow gain settings were used for comparison of JL2.C2 T-APCs and PBMCs. ns, not significant.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: Tcon-derived JL3.C2 T-APCs expressed a professional APC phenotype. (A, B) The Tcon-derived JL3.C2 and JL3.B1 T-APC lines were compared with established T-APC lines (JL2.C5 and JL2.C6) and to the parent Tcon line (JL3 Tcon6). (A) Cells were stained with TCRα/β PE/Cy7 (IP26), CD3 BV785 (SK7), CD4 BV421 (OKT4), CD8 Alexa Fluor 700 (SK1), CD28 BV605 (CD28.2), CD25 FITC (M-A251), CD74 PE (LN2), CD80 BV711 (2D10), CD86 BV650 (FUN-1), CD123 PerCP/Fire806 (S18016C), OX40/CD134 PE-Cy5 (ACT35), and HLA-DR Spark PLUS UV395 (L243). (B) Mean MFI values are shown for CD4 and CD8 gated cell lines. Statistical analyses were restricted to CD4 gated values and were assessed by 1-way analysis of variance with Tukey’s multiple comparison test. ** P < 0.01, *** P < 0.001, **** P < 0.0001. (C, D) JL3.C2 T-APCs and PBMCs (day 0, no culture) were stained with TCRα/β PE/Cy7 (IP26), CD3 BV510 (SK7), CD4 BV421 (OKT4), CD8 Spark Blue 574 (SK1), CD11b StarBright UV575 (M1/70), CD11c BV785 (Bu15), CD14 PE/Fire 700 (S18004B), CD19 StarBright UV795 (HIB19), CD25 APC/Fire 750 (BC96), CD74 PE (LN2), CD80 BV711 (2D10), CD86 BV650 (IT2.2), CD278 BV605 (C398.4A), and HLA-DR Spark Plus UV395 (L243). The same flow gain settings were used for comparison of JL2.C2 T-APCs and PBMCs. ns, not significant.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Derivative Assay, Staining, Analysis, Comparison

    IL-2 and TGF-β are required for respective short- and long-term viability of continuous T-APC lines. A JL3.C2 T-APC subline was thawed on day 31, and parallel cultures were initiated on day 39 with or without 1 nM TGF-β. On day 78, the effects of IL-2 and/or TGF-β withdrawal were assessed via a time course experiment. (A–E) JL3.C2 TGF-β–cultured T-APCs were cultured with or without IL-2 in the presence or absence of 1 nM TGF-β from days 0 to 14 (n = 3). Passages were performed on days 3, 6, and 10. At each time point, cells were stained with CD3 BV510 (SK7), CD4 BV421 (OKT4), CD25 PE-Fire 700 (M-A251), CD86 BV650 (FUN-1), FAS PerCP-Fire806 (DX2), HLA-DR Spark Plus UV396 (L243), and FOXP3 Alexa Fluor 488 (150D). Dotplots (A, D) show representative positive control cultures (with IL-2 and TGF-β) in the top rows versus cytokine-deprived cultures in the bottom rows (CD3 + CD4 + gate). Quadrants depict reference comparators for positive controls versus cytokine-deprived groups, whereas all populations were positive compared with unstained negative controls. (B) IL-2 withdrawal for all groups was assessed on day 6 via a 1-way analysis of variance with Sidak’s multiple comparison test. (C) Mean values on days 1, 3, and 6 were compared by 2-way analysis of variance with a Tukey’s multiple comparison test. (E) TGF-β withdrawal was assessed for the remaining IL-2–supplemented groups on days 10 and 14 with a 1-way analysis of variance with Sidak’s multiple comparison test. (F) Shown are growth curves for JL3.C2 T-APCs and JW4 T-APCs that were cultured with and without TGF-β. ** P < 0.01, *** P < 0.001, **** P < 0.0001. ns, not significant.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: IL-2 and TGF-β are required for respective short- and long-term viability of continuous T-APC lines. A JL3.C2 T-APC subline was thawed on day 31, and parallel cultures were initiated on day 39 with or without 1 nM TGF-β. On day 78, the effects of IL-2 and/or TGF-β withdrawal were assessed via a time course experiment. (A–E) JL3.C2 TGF-β–cultured T-APCs were cultured with or without IL-2 in the presence or absence of 1 nM TGF-β from days 0 to 14 (n = 3). Passages were performed on days 3, 6, and 10. At each time point, cells were stained with CD3 BV510 (SK7), CD4 BV421 (OKT4), CD25 PE-Fire 700 (M-A251), CD86 BV650 (FUN-1), FAS PerCP-Fire806 (DX2), HLA-DR Spark Plus UV396 (L243), and FOXP3 Alexa Fluor 488 (150D). Dotplots (A, D) show representative positive control cultures (with IL-2 and TGF-β) in the top rows versus cytokine-deprived cultures in the bottom rows (CD3 + CD4 + gate). Quadrants depict reference comparators for positive controls versus cytokine-deprived groups, whereas all populations were positive compared with unstained negative controls. (B) IL-2 withdrawal for all groups was assessed on day 6 via a 1-way analysis of variance with Sidak’s multiple comparison test. (C) Mean values on days 1, 3, and 6 were compared by 2-way analysis of variance with a Tukey’s multiple comparison test. (E) TGF-β withdrawal was assessed for the remaining IL-2–supplemented groups on days 10 and 14 with a 1-way analysis of variance with Sidak’s multiple comparison test. (F) Shown are growth curves for JL3.C2 T-APCs and JW4 T-APCs that were cultured with and without TGF-β. ** P < 0.01, *** P < 0.001, **** P < 0.0001. ns, not significant.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Cell Culture, Staining, Positive Control, Analysis, Comparison

    T-APCs encompassed distinct subsets marked by differential expression of CD25, CD69, and PD1. CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and IL-2 in the presence of 10 nM TGF-β. TGF-β–cultured T cells were then passaged every 3 to 7 d in IL-2 with TGF-β for 73 d. Cells were washed and cultured in triplicate at 500,000 cells/well in 24-well plates with 100 pM, 1 nM, 10 nM, or 100 nM IL-2 (x-axis) in the presence or absence of 10 nM TGF-β for 7 d. Cells were stained with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD69 PE (FN50), and PD1 PE-Cy5 (EH12.2H7). These T cells were >99% CD4 + and lacked detectable CD8 + T cells. (A, B) CD3 + CD4 + gated T cells were analyzed in CD25 × CD69 dotplots (A), and the respective frequencies of CD25 low CD69 high T cells (upper left quadrant) are portrayed in the associated line graph (B). (C, D) CD3 + CD4 + –gated T cells were analyzed in PD1 × CD69 dotplots (C), and the respective frequencies of PD1 high CD69 high T cells (upper right quadrant) are portrayed in the associated line graph (D). (E) Histograms of the combined top two quadrants or the combined bottom two quadrants from panels A and C show bimodality of CD25 and PD1 expression as a function of IL-2/TGF-β concentrations and CD69 expression. (F, G) After the 7-d culture with 100 nM IL-2 and 10 nM TGF-β, percentages of CD25 low CD69 high versus CD25 high CD69 low subsets (F) and percentages of PD1 high subsets (G) are shown in the respective right-hand line graphs. T-APCs from the CL6 line were used in these experiments. (B, D, F, G) A 2-way analysis of variance with a Tukey’s multiple comparisons test was used to assess differences between groups. ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC-H, forward scatter height.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: T-APCs encompassed distinct subsets marked by differential expression of CD25, CD69, and PD1. CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and IL-2 in the presence of 10 nM TGF-β. TGF-β–cultured T cells were then passaged every 3 to 7 d in IL-2 with TGF-β for 73 d. Cells were washed and cultured in triplicate at 500,000 cells/well in 24-well plates with 100 pM, 1 nM, 10 nM, or 100 nM IL-2 (x-axis) in the presence or absence of 10 nM TGF-β for 7 d. Cells were stained with CD3 NovaFluor Blue 610-70S (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD69 PE (FN50), and PD1 PE-Cy5 (EH12.2H7). These T cells were >99% CD4 + and lacked detectable CD8 + T cells. (A, B) CD3 + CD4 + gated T cells were analyzed in CD25 × CD69 dotplots (A), and the respective frequencies of CD25 low CD69 high T cells (upper left quadrant) are portrayed in the associated line graph (B). (C, D) CD3 + CD4 + –gated T cells were analyzed in PD1 × CD69 dotplots (C), and the respective frequencies of PD1 high CD69 high T cells (upper right quadrant) are portrayed in the associated line graph (D). (E) Histograms of the combined top two quadrants or the combined bottom two quadrants from panels A and C show bimodality of CD25 and PD1 expression as a function of IL-2/TGF-β concentrations and CD69 expression. (F, G) After the 7-d culture with 100 nM IL-2 and 10 nM TGF-β, percentages of CD25 low CD69 high versus CD25 high CD69 low subsets (F) and percentages of PD1 high subsets (G) are shown in the respective right-hand line graphs. T-APCs from the CL6 line were used in these experiments. (B, D, F, G) A 2-way analysis of variance with a Tukey’s multiple comparisons test was used to assess differences between groups. ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC-H, forward scatter height.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Quantitative Proteomics, Purification, Cell Culture, Staining, Expressing, Analysis

    High concentrations of IL-2 and TGF-β caused dominance of CD25 low T-APCs even though CD25 high T-APCs maintained an enhanced IL-2 signaling signature. CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and IL-2 in the presence of 10 nM TGF-β. Cells were then passaged every 3 to 7 d in IL-2 and TGF-β for a total of 53 d. T cells were washed and cultured in triplicate at 500,000 cells/well in 24-well plates with 10 pM, 100 pM, 1 nM, and 10 nM IL-2 in the presence or absence of 10 nM TGF-β for 7 d. Cells were stained (via multiple panels) with CD3 NovaFluor Blue-610 (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD25 PE (MA251), CD28 BV510 (CD28.2), CD69 PE (FN50), CD80 B711 (2D10), CD86 BV650 (FUN-1), CD95/FAS BUV615 (DX2), CD127 PE-Cy5 (A019D5), CTLA4 AF647 (BN13), CD178/FASL BUV737 (NOK-1), CD273/PDL2 PE-Cy7 (MIH18), CD279/PD1 PE-Cy5 (EH12.2H7), GITR BV711 (108-17), FOXP3 AF488 (PCH101), HLA-DR BUV395 (G46-6), GARP PE-Cy7 (7B11), and LAG-3 BUV563 (3DS223H). T cells were >99% CD4 + and lacked detectable CD8 + T cells. (A) Percentages of CD25 high and CD25 low subsets and the respective MFI values of markers (B–T) are portrayed as a function of IL-2 concentration. Note the use of different y-axis scales. (U) CD3 + CD4 + gated T cells were analyzed in CD25 × forward scatter area (FSC-A) plots to distinguish CD25 low versus CD25 high subsets. T cells from the CL7 line were used in these experiments. A 2-way analysis of variance with a Tukey’s multiple comparisons test was used to assess differences between groups. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC-A, forward scatter area.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: High concentrations of IL-2 and TGF-β caused dominance of CD25 low T-APCs even though CD25 high T-APCs maintained an enhanced IL-2 signaling signature. CD4 + T cells were purified from PBMCs and were activated for 3 d with PHA and IL-2 in the presence of 10 nM TGF-β. Cells were then passaged every 3 to 7 d in IL-2 and TGF-β for a total of 53 d. T cells were washed and cultured in triplicate at 500,000 cells/well in 24-well plates with 10 pM, 100 pM, 1 nM, and 10 nM IL-2 in the presence or absence of 10 nM TGF-β for 7 d. Cells were stained (via multiple panels) with CD3 NovaFluor Blue-610 (SK7), CD4 BV421 (OKT4), CD8 AF700 (SK1), CD25 APC-Fire750 (BC96), CD25 PE (MA251), CD28 BV510 (CD28.2), CD69 PE (FN50), CD80 B711 (2D10), CD86 BV650 (FUN-1), CD95/FAS BUV615 (DX2), CD127 PE-Cy5 (A019D5), CTLA4 AF647 (BN13), CD178/FASL BUV737 (NOK-1), CD273/PDL2 PE-Cy7 (MIH18), CD279/PD1 PE-Cy5 (EH12.2H7), GITR BV711 (108-17), FOXP3 AF488 (PCH101), HLA-DR BUV395 (G46-6), GARP PE-Cy7 (7B11), and LAG-3 BUV563 (3DS223H). T cells were >99% CD4 + and lacked detectable CD8 + T cells. (A) Percentages of CD25 high and CD25 low subsets and the respective MFI values of markers (B–T) are portrayed as a function of IL-2 concentration. Note the use of different y-axis scales. (U) CD3 + CD4 + gated T cells were analyzed in CD25 × forward scatter area (FSC-A) plots to distinguish CD25 low versus CD25 high subsets. T cells from the CL7 line were used in these experiments. A 2-way analysis of variance with a Tukey’s multiple comparisons test was used to assess differences between groups. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. FSC-A, forward scatter area.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Purification, Cell Culture, Staining, Concentration Assay, Analysis

    T-APC coculture with syngeneic polyclonal Tcons caused an initial activation followed by fratricidal collapse. (A–D) The JL3.C2 T-APC line (day 43, 10 4 /well) and JL3 Tcons (day 39 of rest, 10 5 /well) were cultured alone or together in 96-well plates with 1 nM IL-2 (n = 3). On day 5, cells were passaged to a 24-well plate with 1 nM IL-2. On day 9, cells were subjected to flow cytometric analysis of CD3 BV785 (SK7), CD4 BV421 (OKT4), CD8 Alexa Fluor 700 (SK1), CD25 FITC (M-A251), CD28 BV605 (CD28.2), CD74 PE (LN2), CD86 BV650 (FUN-1), CD134 PE-Cy5 (ACT35), and HLA-DR Spark Plus UV395 (L243). (A) Shown are representative dotplots of the Tcon-derived CD4 + JL3.T1 and JL3.C2 T-APC lines, the combination culture (JL3.C2 T-APCs + JL3 Tcons), and Tcons alone. (B) Mean MFI values are shown for CD4, DN, and CD8 gated cells. Statistical analyses were restricted to comparison of “Both” (i.e. JL3.C2/Tcon cocultures) versus Tcons alone to assess coculture-induced changes in the Tcon phenotype. (C) Cell yields (day 9) were assessed with CountBright Absolute Counting Beads to calculate cell/bead ratios. (D) Manual counting was also used to compare cell yields (day 9) relative to input values for T-APCs (10 4 /well) and Tcons (10 5 /well), given that DN and CD8 + single-positive Tcons comprised approximately 40% of cells by day 9. (E) Total cell yields based on manual cell counting were assessed on days 16, 20, and 24. (F) JL3.C2 T-APCs were cultured without TGF-β for 58 d and then split into parallel cultures with and without 1 nM TGF-β for 3 d. Cells were then tested in a 2-d proliferative assay ([ 3 H]thymidine pulse during the last 24 h) in the presence of 1 nM IL-2 at 10 5 /well (200 µL in LymphoOne) in the presence or absence of 10 µg/mL functional grade anti-CD95 IgM mAb (EOS9.1). (G) CD4 + JL3.C2 T-APCs, CD8 + P3 T-APCs, SeAx T cells, and BW5147α/β − T cells tested in a proliferative assay as described in panel F at 50,000 cells/well with designated dilutions of the EOS9.1 mAb. (E) Data were assessed with an unpaired 2-tailed t test. (C–F) Data were assessed with 1-way analysis of variance with a Tukey’s multiple comparisons test. (B, G) Data were assessed with a 2-way analysis of variance with Sidak’s or Tukey’s multiple comparison test. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. CPM, counts per minute. Flow cytometric analyses showed that T-APCs activated resting conventional responder T cells, which subsequently acquired a T-APC phenotype. The activated responder T cells then eliminated the original T-APCs and later exhibited mutual killing, ultimately causing collapse of the culture. Additional experiments showed that T-APCs were highly susceptible to FAS-mediated cell death following treatment with an agonistic cross-linking anti-FAS IgM antibody.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: T-APC coculture with syngeneic polyclonal Tcons caused an initial activation followed by fratricidal collapse. (A–D) The JL3.C2 T-APC line (day 43, 10 4 /well) and JL3 Tcons (day 39 of rest, 10 5 /well) were cultured alone or together in 96-well plates with 1 nM IL-2 (n = 3). On day 5, cells were passaged to a 24-well plate with 1 nM IL-2. On day 9, cells were subjected to flow cytometric analysis of CD3 BV785 (SK7), CD4 BV421 (OKT4), CD8 Alexa Fluor 700 (SK1), CD25 FITC (M-A251), CD28 BV605 (CD28.2), CD74 PE (LN2), CD86 BV650 (FUN-1), CD134 PE-Cy5 (ACT35), and HLA-DR Spark Plus UV395 (L243). (A) Shown are representative dotplots of the Tcon-derived CD4 + JL3.T1 and JL3.C2 T-APC lines, the combination culture (JL3.C2 T-APCs + JL3 Tcons), and Tcons alone. (B) Mean MFI values are shown for CD4, DN, and CD8 gated cells. Statistical analyses were restricted to comparison of “Both” (i.e. JL3.C2/Tcon cocultures) versus Tcons alone to assess coculture-induced changes in the Tcon phenotype. (C) Cell yields (day 9) were assessed with CountBright Absolute Counting Beads to calculate cell/bead ratios. (D) Manual counting was also used to compare cell yields (day 9) relative to input values for T-APCs (10 4 /well) and Tcons (10 5 /well), given that DN and CD8 + single-positive Tcons comprised approximately 40% of cells by day 9. (E) Total cell yields based on manual cell counting were assessed on days 16, 20, and 24. (F) JL3.C2 T-APCs were cultured without TGF-β for 58 d and then split into parallel cultures with and without 1 nM TGF-β for 3 d. Cells were then tested in a 2-d proliferative assay ([ 3 H]thymidine pulse during the last 24 h) in the presence of 1 nM IL-2 at 10 5 /well (200 µL in LymphoOne) in the presence or absence of 10 µg/mL functional grade anti-CD95 IgM mAb (EOS9.1). (G) CD4 + JL3.C2 T-APCs, CD8 + P3 T-APCs, SeAx T cells, and BW5147α/β − T cells tested in a proliferative assay as described in panel F at 50,000 cells/well with designated dilutions of the EOS9.1 mAb. (E) Data were assessed with an unpaired 2-tailed t test. (C–F) Data were assessed with 1-way analysis of variance with a Tukey’s multiple comparisons test. (B, G) Data were assessed with a 2-way analysis of variance with Sidak’s or Tukey’s multiple comparison test. * P < 0.05, ** P < 0.01, *** P < 0.001, **** P < 0.0001. CPM, counts per minute. Flow cytometric analyses showed that T-APCs activated resting conventional responder T cells, which subsequently acquired a T-APC phenotype. The activated responder T cells then eliminated the original T-APCs and later exhibited mutual killing, ultimately causing collapse of the culture. Additional experiments showed that T-APCs were highly susceptible to FAS-mediated cell death following treatment with an agonistic cross-linking anti-FAS IgM antibody.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: Activation Assay, Cell Culture, 96 Well Plates, Analysis, Derivative Assay, Comparison, Counting, Cell Counting, Functional Assay

    Phenotypic relationships of T-APCs with professional APCs, Tregs, and Tfrs.

    Journal: The Journal of Immunology Author Choice

    Article Title: A human self-stimulatory CD4 + T cell antigen-presenting cell subset presents and recognizes agonistic self-antigens to sustain exponential autologous clonal expansion

    doi: 10.1093/jimmun/vkag274

    Figure Lengend Snippet: Phenotypic relationships of T-APCs with professional APCs, Tregs, and Tfrs.

    Article Snippet: PBMCs were cultured as nonfractionated populations or as purified CD4 + and CD8 + T cell subsets magnetically sorted by REAlease CD4 or CD8 Microbead Kits (Miltenyi Biotec #130-117-037 or #130-117-036).

    Techniques: