Journal: Journal for Immunotherapy of Cancer

Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

doi: 10.1136/jitc-2025-013809

Figure Lengend Snippet: Tumor-intrinsic RRBP1 inhibition triggers antitumor immunity. ( A ) Representative images of IHC staining for RRBP1 and CD8 + T cells in BC samples. ( B ) The correlation between RRBP1 expression and CD8 + T-cell infiltration was analyzed based on 96 patients from in-house BC cohort. Scale bar: 50 µm. ( C ) Representative images of IHC staining for RRBP1 expression in PD, SD, PR, and CR samples. Scale bar: 50 µm. ( D ) Bar plot showed the response rates of anti-PD-L1 therapy. Blue bars represent CR/PR, Red bars represent PD/SD. ( E ) Volcano plot of RNA-seq data for shNC or shRRBP1 tumors (n=3). Differentially expressed genes were identified with the threshold of |log2 (fold change) | >1 and FDR<0.05. ( F ) GSEA for DEGs showed the activation of immune-associated pathways in shRRBP1 tumors in the RNA-seq data. ( G ) Representative images of IHC and mIHC staining for RRBP1 and CD8 + T cells in shNC, shRRBP1, control or radezolid tumor tissues. Expression levels of the indicated proteins were displayed. Scale bar: 20 µm. ( H, I ) Flow cytometry showed the percentages of CD8 + T cells in CD3 + cells in shNC, shRRBP1, control or radezolid tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using Spearman correlation analysis ( B ), unpaired two-tailed t-test ( I ). ****p<0.0001. BC, bladder cancer; CR, complete response; FDR, false discovery rate; progressive disease; PR, partial response; PD-L1, programmed death-ligand 1; RNA-seq, RNA sequencing; RRB1, ribosomal-binding protein 1; SD, stable disease; IHC, immunohistochemistry; GSEA, gene set enrichment analysis; DEGs, differentially expressed genes; mIHC, multiplex immunohistochemistry.

Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

Techniques: Inhibition, Immunohistochemistry, Expressing, RNA Sequencing, Activation Assay, Staining, Control, Flow Cytometry, Two Tailed Test, Binding Assay, Multiplex Assay

Journal: Journal for Immunotherapy of Cancer

Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

doi: 10.1136/jitc-2025-013809

Figure Lengend Snippet: Single-cell RNA sequencing reveals the difference of CD8 + T-cell subgroup. The UMAP plot of CD8 + T cells subpopulation, color-coded by cell cluster and cell type. ( A ) The expression of markers in each CD8 + T cells subpopulation. ( B ) Bar plot showed the proportion of CD8 + T cells subpopulation in the shNC and shRRBP1 groups. ( C ) The percentage of each CD8 + T-cell clusters in shNC and shRRBP1 groups. ( D ) Heatmap showed the differentially activated pathway among all the CD8 + T-cell clusters. ( E ) The differentially expressed genes in CD8 + T cells between shNC and shRRBP1 groups. ( F ) KEGG analysis for differentially expressed genes showed the enrichment of immune-associated pathways. ( G, H ) mIHC and flow cytometric analysis displayed the tumor-infiltrating IFN-γ + or GZMB + CD8 + T cells in shNC or shRRBP1 tumor tissues. Scale bar: 20 µm. ( I–K ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Isotype control (IgG) or anti-mouse CD8 antibody administered on days –6, –3, and –1 before tumor challenge, with the same dose repeated on days 7, 9 and 11 after tumor challenge. Tumor sizes ( I ), volumes ( J ), and weight ( K ) were measured. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( H, K ) and two-way ANOVA with Tukey’s multiple comparison test ( J ). *p<0.05, **p<0.01, ***p<0.001, ****p<0.0001. ANOVA, analysis of variance; GZMB, Granzyme B; IFN, interferon; TEX, exhausted T cells; UMAP, Uniform Manifold Approximation and Projection; mIHC, multiplex immunohistochemistry; KEGG, Kyoto Encyclopedia of Genes and Genomes.

Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

Techniques: Single Cell, RNA Sequencing, Expressing, Injection, Control, Two Tailed Test, Comparison, Multiplex Assay, Immunohistochemistry

Journal: Journal for Immunotherapy of Cancer

Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

doi: 10.1136/jitc-2025-013809

Figure Lengend Snippet: RRBP1 inhibition promotes antitumor immunity via the CXCL10-CXCR3 axis in BC. ( A ) ScRNA-seq data showed the CXCR3 expression of CD8+T cells in shNC and shRRBP1 groups. ( B ) The correlation between CXCR3 expression and CXCL10 expression or activated CD8 + T cell based on 571 patients from TCGA-BLCA cohort and GSE13507 cohorts. ( C ) MB49 cells were co-cultured with CD8 + T cells, and tumor cells were stained with crystal violet. ( D ) Evaluation of the effect of genetic inhibition of RRBP1 on the cytotoxicity of CD8 + T cells in vitro conditioned culture model. ( E ) Schematic diagram of in vitro CD8 + T-cell migration assays. ( F ) The number of CD8 + T cells passing through the membrane of a Transwell system was analyzed by flow cytometry. ( G–I ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice received intraperitoneal injection of either vehicle or anti-CXCL10 when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( G ), volumes ( H ), and weights ( I ) were measured. ( J ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( K ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( D, F, I, K ) and two-way ANOVA with Tukey’s multiple comparison test ( H ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; RRBP1, ribosomal-binding protein 1; scRNA-seq, single-cell RNA sequencing; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry; BLCA, bladder urothelial carcinoma.

Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

Techniques: Inhibition, Expressing, Cell Culture, Staining, In Vitro, Migration, Membrane, Flow Cytometry, Injection, Two Tailed Test, Comparison, Binding Assay, Single Cell, RNA Sequencing, Immunohistochemistry, Multiplex Assay

Journal: Journal for Immunotherapy of Cancer

Article Title: Targeting RRBP1 reverses immune evasion and enhances immunotherapy efficacy via the CXCL10-CXCR3 axis in bladder cancer

doi: 10.1136/jitc-2025-013809

Figure Lengend Snippet: RRBP1 inhibition enhances response to anti-PD-L1 therapy in BC. ( A–D ) The protein expression of surface PD-L1 was analyzed in BC cells or tumor tissues by flow cytometry after RRBP1 inhibition and was shown as the mean fluorescence intensity. ( E–G ) C57BL/6 mice were subcutaneously injected with 5×10 5 stable MB49 cells (shNC or shRRBP1 cells) (n=6). Tumor-bearing mice were received intraperitoneal injection of either vehicle or anti-PD-L1 antibody when the tumor volume reached a calculated average of 100 mm 3 . The tumor sizes ( E ), volumes ( F ), and weights ( G ) were measured. ( H ) Representative images of IHC and mIHC staining for CD8, CXCR3, CXCL10, IFN-γ, GZMB in different tumor tissues. ( I ) Flow cytometric analysis of tumor-infiltrating CD8 + T cells, CXCR3 + CD8 + T cells, IFN-γ + CD8 + T cells or GZMB + CD8 + T cells in distinct tumor tissues. Data are represented as mean means±SD. Statistical analysis was performed using unpaired two-tailed t-test ( B, D, G, I ) and two-way ANOVA with Tukey’s multiple comparison test ( F ). The data presented represent on one or three independent experiments. *p<0.01, **p<0.01, ***p<0.001. ANOVA, analysis of variance; BC, bladder cancer; GZMB, Granzyme B; IFN, interferon; PD-L1, programmed death-ligand 1; RRBP1, ribosomal-binding protein 1; IHC, immunohistochemistry; mIHC, multiplex immunohistochemistry.

Article Snippet: Peripheral blood mononuclear cells were isolated by Ficoll density gradient centrifugation, and CD8 + T cells were subsequently enriched using MagCellect Human CD8 + T Cell Isolation Kit (R&D Systems) and the MagCellect Mouse CD8 + T Cell Isolation Kit (R&D Systems) according to the manufacturer’s protocols.

Techniques: Inhibition, Expressing, Flow Cytometry, Fluorescence, Injection, Staining, Two Tailed Test, Comparison, Binding Assay, Immunohistochemistry, Multiplex Assay

Journal: PLOS Biology

Article Title: Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming

doi: 10.1371/journal.pbio.3002943

Figure Lengend Snippet: (A) Diagram depicting the culture model used to generate time course samples from healthy human CD4+ memory T cells. Cells were stimulated with CD3/CD28 Dynabeads for 12 days, with fresh beads plus full media change every other day (fresh media alone added on alternate days). Samples were collected on days highlighted in bold. (B) Multiomics workflow (see for details). Experiments were performed in biological triplicate, with proteomics, phosphoproteomics, and metabolomics done on same samples. (C) ELISA-based quantification of secreted cytokines (IL-2, IFN-γ, TNF-α) on days 0, 6, 10, and 12, 3 replicates per time point. (D) Cell counts were taken each time point, and average cell division compared to previous time point calculated. Cell viability remained stable throughout at ~75%–85%. (E) Flow cytometric analysis of inhibitory receptors PD-1, TIM-3, and TIGIT at resting, day 6, and day 12 time points. Data normalized to mode for accurate population comparisons to account for differences in number of cells analyzed. The data underlying can be found in the supplemental flow cytometry files uploaded to flowrepository.org . Figure created with BioRender.com .

Article Snippet: After aspiration, cells were resuspended in PBS with 1% BSA (Thermo, 15260037) and 50 mM EDTA, and T cells were isolated using untouched memory CD4+ T-cell isolation kit (Miltenyi, 130-091-893).

Techniques: Phospho-proteomics, Enzyme-linked Immunosorbent Assay, Flow Cytometry

Journal: PLOS Biology

Article Title: Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming

doi: 10.1371/journal.pbio.3002943

Figure Lengend Snippet: Mean fluorescence intensity of PD-1 in CD4+ T cells from both HIV+ and HIV- patients (grouped due to observing same effect in both) for CD4+ cells that are CD276+ or FLT-1+. The data underlying this figure can be found in the supplemental flow cytometry files uploaded to flowrepository.org . Figure created with BioRender.com .

Article Snippet: After aspiration, cells were resuspended in PBS with 1% BSA (Thermo, 15260037) and 50 mM EDTA, and T cells were isolated using untouched memory CD4+ T-cell isolation kit (Miltenyi, 130-091-893).

Techniques: Fluorescence, Flow Cytometry

Journal: PLOS Biology

Article Title: Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming

doi: 10.1371/journal.pbio.3002943

Figure Lengend Snippet: (A) Causal network analysis leveraging annotated interactions (transcription factor-target, kinase-substrate, phosphatase-substrate) as a framework to evaluate protein expression changes (late exhaustion (day 12) versus resting, taking into account previous time point comparisons) to predict key nodes (regulators) impacting most changes seen across the data set. (B) Pruned version of a large subnetwork with p300 (black outline) at main hub. Orange circles mark proteins of interest mentioned in main text. (C) Depiction of experimental design of p300 inhibition studies. (D) Flow cytometric analysis of PD-1 and TIM-3 showing shifts in fluorescent intensity of cell populations in treated versus untreated (cell number normalized to mode). Cell numbers shown for each plot are 20,312 for p300 treated and 30,438 for DMSO, which corresponds to all CD4+ T cells from the sample (excluding doublets and debris, see for gating), corresponding to >95% of sample. (E) Bar chart of mean fluorescent intensity showing significant changes ( T test) in PD-1 and TIM-3 during p300 inhibition versus controls (antigen removed for 2 days, or treatment with T-cell activation inhibitor Dasatinib); *, p -value <0.05, ***, p -value <0.005. (F) Heatmap showing recruitment of cofactors (p300, class I HDACs, KAT2B) to transcription factor family DNA motifs as measured using CASCADE protein-binding microarrays. The data underlying this figure can be found in and Data (A, B), supplemental flow cytometry files uploaded to flowrepositroy.org (D), and the (E, F). Figure created with BioRender.com .

Article Snippet: After aspiration, cells were resuspended in PBS with 1% BSA (Thermo, 15260037) and 50 mM EDTA, and T cells were isolated using untouched memory CD4+ T-cell isolation kit (Miltenyi, 130-091-893).

Techniques: Expressing, Inhibition, Activation Assay, Protein Binding, Flow Cytometry

Journal: PLOS Biology

Article Title: Multiomic profiling of chronically activated CD4+ T cells identifies drivers of exhaustion and metabolic reprogramming

doi: 10.1371/journal.pbio.3002943

Figure Lengend Snippet: UMAPs of CD4+ subtypes and CD8+ T exhausted tumor lymphocytes showing gene expression of (A) exhaustion-associated genes, and (B) gene expression of proteins identified in the model presented by Lawton and colleagues. UMAPs made using Single Cell Portal, Tarhan and colleagues. The data from this figure and tool used to make it can be found at https://singlecell.broadinstitute.org/single_cell/study/SCP1039/a-single-cell-and-spatially-resolved-atlas-of-human-breast-cancers . Figure created with BioRender.com .

Article Snippet: After aspiration, cells were resuspended in PBS with 1% BSA (Thermo, 15260037) and 50 mM EDTA, and T cells were isolated using untouched memory CD4+ T-cell isolation kit (Miltenyi, 130-091-893).

Techniques: Gene Expression

Journal: Scientific Reports

Article Title: A canine chimeric monoclonal antibody targeting PD-L1 and its clinical efficacy in canine oral malignant melanoma or undifferentiated sarcoma

doi: 10.1038/s41598-017-09444-2

Figure Lengend Snippet: Enhancement of cytokine production and cell proliferation of dog peripheral blood mononuclear cells by c4G12 treatment. Dog peripheral blood mononuclear cells ( n = 7) were obtained from healthy beagle donors and stimulated by 5 μg/mL staphylococcal enterotoxin B in the presence or absence of 20 μg/mL c4G12. Dog IgG was used as a control antibody. For evaluation of cytokine production, the culture supernatant was harvested on day 3, and concentration of ( a ) IL-2 or ( b ) IFN-γ was measured by ELISA. To evaluate cell proliferation, nucleotide analogue 5-ethynyl-2′-deoxyuridine (EdU) was added to the medium on day 2, and cells were harvested after incubation for another 2 h. The lymphocyte population was gated by forward scatter and side scatter, and the incorporation of EdU in ( c ) CD4+ or ( d ) CD8+ cells was measured by a flow cytometer. Statistical analysis was performed with a Wilcoxon signed rank-sum test.

Article Snippet: For cytokine assays, the culture supernatant was harvested on day 3 and the concentrations of IL-2 and IFN-γ were measured by Duoset ELISA canine IL-2 and IFN-γ (R&D systems, Minneapolis, MN, USA), respectively, according to the manufacturer’s instructions.

Techniques: Control, Concentration Assay, Enzyme-linked Immunosorbent Assay, Incubation, Flow Cytometry

Journal: Medicina

Article Title: Toxic Metals and Non-Communicable Diseases in HIV Population: A Systematic Review

doi: 10.3390/medicina57050492

Figure Lengend Snippet: Study Findings Stratified by Heavy Metal Markers.

Article Snippet: Obirikorang et al., 2016 , Comparative cross-sectional , HAART-treated (219), HAART-naïve (100) , Blood (Serum) , CD4/CD3 lymphocyte count-flow cytometry by flow cytometry (BD FACSCOUNT, Becton Dickenson and Company, San Diego, CA, USA) haemoglobin and white cell indices. (Mindray BC 3000 Plus Mind ray Company, Shenzhen, China). serum iron, ferritin, transferrin, and transferrin saturation (TSAT)-Flexor XL analyzer from vital scientific serum CRP-semi quantitative immune-chromatographic method , Unpaired t -test (compare means of continuous variables), Fisher’s exact test/chi-square, one-way ANOVA. Data analyzed using Graph pad Prism version 6.0 for windows (Graph pad software, San Diego, CA, USA)..

Techniques: Marker, Infection, Spectrophotometry, Comparison, Concentration Assay, Control, Clinical Proteomics

Journal: Cell reports. Medicine

Article Title: Targeting neoadjuvant chemotherapy-induced metabolic reprogramming in pancreatic cancer promotes anti-tumor immunity and chemo-response.

doi: 10.1016/j.xcrm.2023.101234

Figure Lengend Snippet: Figure 6. Targeting CD36 synergistically promoted AG-mediated killing of PDAC in preclinical models (A) Visual presentation of subcutaneous xenograft murine PDAC tumor models (C57 mice) for each group. (B) Measurement of tumor volumes showed CD36 blockage synergistically promoted AG-mediated killing of PDAC in subcutaneous xenograft murine PDAC tumor models. (C) Measurement of tumor weights showed CD36 blockage synergistically promoted AG-mediated killing of PDAC in subcutaneous xenograft murine PDAC tumor models (n = 5). (D) Representative IHC staining showed Ki67 expression in subcutaneous xenografts treated with different regimens. (E) t-Distributed stochastic neighbor embedding (TSNE) analyses showed the clustering for CD36+ CD8+ T cells and GZMB+ CD8+ T cells. (F) Flow cytometry revealed that more CD8+ T cells infiltrated PDAC with NAC, while the percentage of CD36+ CD8+ T cells also increased (n = 5) (mean with standard deviation). (G) ELISA results showed the combination of AG and CD36 blockade significantly improved IFN-g and tumor necrosis factor a (TNF-a) levels intratumorally (n = 5). (H) Representative image of orthotopic murine models of PDAC. (I) Kaplan-Meier curve revealed the combination of CD36 blockade and AG significantly prolonged the survival interval of mice that received orthotopic PDAC cell transplantation (n = 10). Circle or square referred to a happened event (death or censored). Censored event means the mice is still alive at the time point that we ended follow-up. (J) CD36 blockade synergistically with AG regimens optimally narrowed the PDAC tumor size in a humanized PDX model (n = 10). (K) Representative IHC staining image of CD36-high and -low PDAC. (L) Kaplan-Meier curve showed increased CD36 expression predicted worse prognosis of PDAC patients with adjuvant AG chemotherapy. The statistical sig- nificance shown in this figure was detected using t test.

Article Snippet: The ELISA kits used in the present study were as follows: Human IFN-gamma ELISA Kit (absin, abs510007); Human IL-2 ELISA Kit (Boster, EK0397); Mouse TNF alpha ELISA Kit (absin, abs520010) and Mouse IFN- gamma ELISA Kit (absin, abs520007).

Techniques: Immunohistochemistry, Expressing, Flow Cytometry, Standard Deviation, Enzyme-linked Immunosorbent Assay, Transplantation Assay, Adjuvant

Journal: medRxiv

Article Title: Hydroxychloroquine inhibits trained immunity – implications for COVID-19

doi: 10.1101/2020.06.08.20122143

Figure Lengend Snippet: a-g, PBMCs isolated from COVID-19 patients at admission and from healthy controls were analyzed using flow cytometry (n = 10 for COVID-19 patients, n = 7 for healthy controls). a, tSNE plots showing unsupervised clustering on the expression of 10 markers (CD45, CD14, CD16, CD3, CD19, CD56, HLA-DR, CD11b, CCR2 and CX3CR1) in controls and COVID-19 patients. b, Quantification of lymphocytes using gating strategy shown in Extended Data showed decreased amounts of T-cells in COVID-19 patients. c,d, Quantification of monocytes showed overall higher counts in COVID-19 patients that was due to higher number of classical monocytes (CD14 ++ ,CD16 − ), whereas non-classical monocytes(CD14 + , CD16 ++ ) were reduced in COVID-19 patients. e-g, Analysis of marker expression on monocytes revealed reduced expression of HLA-DR (e), reduced number of CX3CR1 expressing monocytes (f) and increased number of CD11b expressing monocytes (g) in COVID-19 patients. h,i, Isolated PBMCs were stimulated with LPS (h) or R848 (i) for 24 hours after which production of IL-1β, IL-6 and TNFα was quantified in the supernatant using ELISA. COVID-19 patient PBMCs show increased cytokine production upon stimulation with either stimulus (n = 13 for COVID-19 patients, n = 10 for healthy controls). j, Isolated PBMCs were stimulated with heat-killed Staphylococcus aureus (HKSA) for 7 days after which production of IFNγ and IL-17 was quantified using ELISA. IFNγ response was reduced, whereas IL-17 production was elevated in COVID-19 patients. (n = 12 for COVID-19 patients, n = 10 for healthy controls) Data are presented as mean ± SEM.*p< 0.05, **p< 0.01, ***p< 0.001 for two-sided student’s ttest (for normally distributed data) or Kruskal-Wallis test.

Article Snippet: Cytokine production was measured in supernatants using commercial ELISA kits for human TNFα, IL-6, IFNγ, IL-22 and IL-17 (R&D systems) according to manufacturer’s instruction.

Techniques: Isolation, Flow Cytometry, Expressing, Marker, Enzyme-linked Immunosorbent Assay

Journal: Biochimica et biophysica acta. Molecular basis of disease

Article Title: The intestinal microbial metabolite acetyl l-carnitine improves gut inflammation and immune homeostasis via CADM2.

doi: 10.1016/j.bbadis.2024.167089

Figure Lengend Snippet: Fig. 6. (A) Immunoprecipitation was used to detect the interaction between CADM2 and MyD88. (B) Colocalization of CADM2 and MyD88 was detected by immunofluorescence confocal microscopy. (C) Immunohistochemical detection of CADM2 expression in the intestinal tissues of CD patients and healthy people. (D) Immunofluorescence detection of Th17 cells in DSS group and DSS + ALC group and the ratio of Th17 cells in DSS group and DSS + ALC group was analyzed by ImageJ. (E) Immunofluorescence detection of Treg cells in DSS group and DSS + ALC group and the ratio of Treg cells in DSS group and DSS + ALC group was analyzed by ImageJ. (F) Immunofluorescence detection of Macrophages in DSS group and DSS + ALC group and the ratio of macrophages in DSS group and DSS + ALC group was analyzed by ImageJ. (G) Expression profiles of immune cell-related in MCEC cells under different treatments.

Article Snippet: To isolate Treg cells, we collected cells from mouse spleens and sorted out CD4+ and CD25+ Treg cells using the Miltenyi Mouse Treg Cells Isolation Kit (Miltenyi, #130–091-041).

Techniques: Immunoprecipitation, Immunofluorescence, Confocal Microscopy, Immunohistochemical staining, Expressing

Journal: Biochimica et biophysica acta. Molecular basis of disease

Article Title: The intestinal microbial metabolite acetyl l-carnitine improves gut inflammation and immune homeostasis via CADM2.

doi: 10.1016/j.bbadis.2024.167089

Figure Lengend Snippet: Fig. 7. (A–D) Colonic length, body weight and DAI score in DSS colitis mice. (E) HE staining of mice colonic tissue. (F, G) Inflammatory factors expression in HCT116 and NCM460 cells between TNF-α group and TNF-α + Treg group. (H) Flow cytometry detection of Treg cells ratio changes.

Article Snippet: To isolate Treg cells, we collected cells from mouse spleens and sorted out CD4+ and CD25+ Treg cells using the Miltenyi Mouse Treg Cells Isolation Kit (Miltenyi, #130–091-041).

Techniques: Staining, Expressing, Flow Cytometry

Journal: Cell reports

Article Title: Helminth resistance is mediated by differential activation of recruited monocyte-derived alveolar macrophages and arginine depletion

doi: 10.1016/j.celrep.2021.110215

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: CCR2-DTR, CCR2-GFP mice Dr. Amariliz Rivera Department of Pediatrics, New Jersey Medical School, Rutgers—The State University of New Jersey, Newark, New Jersey, USA Oligonucleotides PCR primer for arginase 1 Thermo Scientific Mm00475988_m1 Software and algorithms Statistical software program Prism GraphPad Software https://www.graphpad.com/ Other RNA-seq This paper GSE189675 ATAC-seq This paper GSE189674 Open in a separate window KEY RESOURCES TABLE EXPERIMENTAL MODEL AND SUBJECT DETAILS Mice BALB/c ByJ (CD45.1), BALB/c (CD45.2), BL/6 mice were purchased from The Jackson Laboratory (Bar Harbor, ME) and CCR2-DTR, CCR2-GFP, Tie 2-Cre and Tie2-Cre Arg fl/fl mice were all bred and maintained in a specific pathogen-free, virus Ab-free facility at Rutgers New Jersey Medical School Comparative Medicine Resources.

Techniques: Control, Recombinant, Flow Cytometry, Software

Journal: Cell reports

Article Title: Helminth resistance is mediated by differential activation of recruited monocyte-derived alveolar macrophages and arginine depletion

doi: 10.1016/j.celrep.2021.110215

Figure Lengend Snippet: KEY RESOURCES TABLE

Article Snippet: CCR2-DTR, CCR2-GFP mice Dr. Amariliz Rivera Department of Pediatrics, New Jersey Medical School, Rutgers—The State University of New Jersey, Newark, New Jersey, USA Oligonucleotides PCR primer for arginase 1 Thermo Scientific Mm00475988_m1 Software and algorithms Statistical software program Prism GraphPad Software https://www.graphpad.com/ Other RNA-seq This paper GSE189675 ATAC-seq This paper GSE189674 Open in a separate window KEY RESOURCES TABLE EXPERIMENTAL MODEL AND SUBJECT DETAILS Mice BALB/c ByJ (CD45.1), BALB/c (CD45.2), BL/6 mice were purchased from The Jackson Laboratory (Bar Harbor, ME) and CCR2-DTR, CCR2-GFP, Tie 2-Cre and Tie2-Cre Arg fl/fl mice were all bred and maintained in a specific pathogen-free, virus Ab-free facility at Rutgers New Jersey Medical School Comparative Medicine Resources.

Techniques: Control, Recombinant, Flow Cytometry, Software