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recombinant human siglec  (R&D Systems)


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    R&D Systems recombinant human siglec
    Recombinant Human Siglec, supplied by R&D Systems, used in various techniques. Bioz Stars score: 93/100, based on 6 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Average 93 stars, based on 6 article reviews
    recombinant human siglec - by Bioz Stars, 2026-06
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    Identification of <t>CD33-specific</t> SdAbs (A) CD33 indirect ELISA curves of llama plasma at different stages during immunization (percentage of signal vs. plasma dilution factor [DF]). (B) Output/input (O/I) phage ratio for each panning round. (C) Phage ELISA of the original library and the final output AO3. (D) Preliminary ELISA screening of isolated E. coli clones infected with bacteriophages. As positive control, one positive clone from a previous round output (C+) was offered. (E) Final ELISA screening of isolated E. coli clones expressing the SdAbs from the expression vector pETMod. The positive control (C+) was C4 from the preliminary screening, and the negative control was an irrelevant SdAb-expressing clone culture supernatant from a panning round against another target. (F) Sequence alignment of the five candidate SdAbs selected for further characterization. (G) Phylogenetic tree of the identified SdAb sequences against CD33, clustered into five families based on half distance. (H) Coomassie blue-stained SDS-PAGE and anti-HA Western blot of the IMAC and IEC purified SdAbs. (I) Cross reactivity test (ELISA) of the five candidate SdAbs against antigens from the same llama library.
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    Identification of <t>CD33-specific</t> SdAbs (A) CD33 indirect ELISA curves of llama plasma at different stages during immunization (percentage of signal vs. plasma dilution factor [DF]). (B) Output/input (O/I) phage ratio for each panning round. (C) Phage ELISA of the original library and the final output AO3. (D) Preliminary ELISA screening of isolated E. coli clones infected with bacteriophages. As positive control, one positive clone from a previous round output (C+) was offered. (E) Final ELISA screening of isolated E. coli clones expressing the SdAbs from the expression vector pETMod. The positive control (C+) was C4 from the preliminary screening, and the negative control was an irrelevant SdAb-expressing clone culture supernatant from a panning round against another target. (F) Sequence alignment of the five candidate SdAbs selected for further characterization. (G) Phylogenetic tree of the identified SdAb sequences against CD33, clustered into five families based on half distance. (H) Coomassie blue-stained SDS-PAGE and anti-HA Western blot of the IMAC and IEC purified SdAbs. (I) Cross reactivity test (ELISA) of the five candidate SdAbs against antigens from the same llama library.
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    Tmod can be adapted for blood cancer. (A) Diagram for Tmod system showing the two receptors that comprise the NOT gate targeting HLA loss of heterozygosity (LOH) in solid tumors. (B) Diagram for Tmod utilizing tandem receptors for blood cancer. (C) <t>CD33</t> and CD16b mRNA expression in primary AML and healthy blood cells including T cells, neutrophils, monocytes, and hematopoietic stem cells (HSC) (data from sources shown; see <xref ref-type= Supplementary Table 1 ). (D) mRNA expression of targets in AML cell lines (n=43; DepMap). " width="250" height="auto" />
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    Preparation and characterization of <t>CD33</t> NPs. (A) Schematic overview of the antibody–nanoparticle conjugation process, using maleimide–thiol chemistry. (B) Table summarizing conjugated NPs characteristics in terms of drug loading, amount of antibody conjugated obtained via Micro BCA, DLS-measured hydrodynamic diameter (nm), and polydispersity index (PdI) values, and PALS-measured zeta potential values. Data are presented as mean ± SD, from measurements performed in triplicate and averaged from at least n = 3. (C) TEM images of CD33 NPs, representative of two independent experiments.
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    Image Search Results


    Identification of CD33-specific SdAbs (A) CD33 indirect ELISA curves of llama plasma at different stages during immunization (percentage of signal vs. plasma dilution factor [DF]). (B) Output/input (O/I) phage ratio for each panning round. (C) Phage ELISA of the original library and the final output AO3. (D) Preliminary ELISA screening of isolated E. coli clones infected with bacteriophages. As positive control, one positive clone from a previous round output (C+) was offered. (E) Final ELISA screening of isolated E. coli clones expressing the SdAbs from the expression vector pETMod. The positive control (C+) was C4 from the preliminary screening, and the negative control was an irrelevant SdAb-expressing clone culture supernatant from a panning round against another target. (F) Sequence alignment of the five candidate SdAbs selected for further characterization. (G) Phylogenetic tree of the identified SdAb sequences against CD33, clustered into five families based on half distance. (H) Coomassie blue-stained SDS-PAGE and anti-HA Western blot of the IMAC and IEC purified SdAbs. (I) Cross reactivity test (ELISA) of the five candidate SdAbs against antigens from the same llama library.

    Journal: Molecular Therapy Oncology

    Article Title: Discovery and preclinical development of a SdAb-based CAR-T technology for targeting CD33 in AML

    doi: 10.1016/j.omton.2025.200949

    Figure Lengend Snippet: Identification of CD33-specific SdAbs (A) CD33 indirect ELISA curves of llama plasma at different stages during immunization (percentage of signal vs. plasma dilution factor [DF]). (B) Output/input (O/I) phage ratio for each panning round. (C) Phage ELISA of the original library and the final output AO3. (D) Preliminary ELISA screening of isolated E. coli clones infected with bacteriophages. As positive control, one positive clone from a previous round output (C+) was offered. (E) Final ELISA screening of isolated E. coli clones expressing the SdAbs from the expression vector pETMod. The positive control (C+) was C4 from the preliminary screening, and the negative control was an irrelevant SdAb-expressing clone culture supernatant from a panning round against another target. (F) Sequence alignment of the five candidate SdAbs selected for further characterization. (G) Phylogenetic tree of the identified SdAb sequences against CD33, clustered into five families based on half distance. (H) Coomassie blue-stained SDS-PAGE and anti-HA Western blot of the IMAC and IEC purified SdAbs. (I) Cross reactivity test (ELISA) of the five candidate SdAbs against antigens from the same llama library.

    Article Snippet: A male llama was immunized with the CD33 recombinant ectodomain (SinoBiological #12238-H08H) four times in-between 20 and 30 days at doses of 150 and 200 μg, alongside other antigens (SLAMF7, CD70 and EDA) using Freund’s adjuvants, while monitoring anti-CD33 humoral immune response by indirect enzyme-linked immunosorbent assay (ELISA), using CD33-coated plates, plasma samples, and the Goat anti-Llama IgG (H + L) Secondary Antibody, horseradish peroxidase (HRP) (Thermo Fisher Scientific Cat# A16060, RRID: AB_2534733 ).

    Techniques: Indirect ELISA, Enzyme-linked Immunosorbent Assay, Isolation, Clone Assay, Infection, Positive Control, Expressing, Plasmid Preparation, Negative Control, Sequencing, Staining, SDS Page, Western Blot, Purification

    Characterization of SdAbs (A) ELISA sigmoidal curves for each candidate SdAb and the “My96” ScFv as relative A450 vs. log of SdAb concentration (nM). (B) SPR sensorgrams for each SdAb and the reference ScFv from SCK runs, along with their respective fitting curves (χ 2 < 10% Rmax, tc > 100∗Kon, and U < 15) (C) BLI epitope binding curves of the secondary binding of each SdAb, the primary SdAb or ScFv to bind is specified in each graph title. (D) Histograms of anti-HA PE stained MOLM13 CD33+ cells pre-incubated with 1 μg of each SdAb for 1 h, alongside control staining with antiCD33 BV510 (WM53).

    Journal: Molecular Therapy Oncology

    Article Title: Discovery and preclinical development of a SdAb-based CAR-T technology for targeting CD33 in AML

    doi: 10.1016/j.omton.2025.200949

    Figure Lengend Snippet: Characterization of SdAbs (A) ELISA sigmoidal curves for each candidate SdAb and the “My96” ScFv as relative A450 vs. log of SdAb concentration (nM). (B) SPR sensorgrams for each SdAb and the reference ScFv from SCK runs, along with their respective fitting curves (χ 2 < 10% Rmax, tc > 100∗Kon, and U < 15) (C) BLI epitope binding curves of the secondary binding of each SdAb, the primary SdAb or ScFv to bind is specified in each graph title. (D) Histograms of anti-HA PE stained MOLM13 CD33+ cells pre-incubated with 1 μg of each SdAb for 1 h, alongside control staining with antiCD33 BV510 (WM53).

    Article Snippet: A male llama was immunized with the CD33 recombinant ectodomain (SinoBiological #12238-H08H) four times in-between 20 and 30 days at doses of 150 and 200 μg, alongside other antigens (SLAMF7, CD70 and EDA) using Freund’s adjuvants, while monitoring anti-CD33 humoral immune response by indirect enzyme-linked immunosorbent assay (ELISA), using CD33-coated plates, plasma samples, and the Goat anti-Llama IgG (H + L) Secondary Antibody, horseradish peroxidase (HRP) (Thermo Fisher Scientific Cat# A16060, RRID: AB_2534733 ).

    Techniques: Enzyme-linked Immunosorbent Assay, Concentration Assay, Binding Assay, Staining, Incubation, Control

     CD33  binding affinity and kinetic constants for the five SdAb candidates and the reference ScFv

    Journal: Molecular Therapy Oncology

    Article Title: Discovery and preclinical development of a SdAb-based CAR-T technology for targeting CD33 in AML

    doi: 10.1016/j.omton.2025.200949

    Figure Lengend Snippet: CD33 binding affinity and kinetic constants for the five SdAb candidates and the reference ScFv

    Article Snippet: A male llama was immunized with the CD33 recombinant ectodomain (SinoBiological #12238-H08H) four times in-between 20 and 30 days at doses of 150 and 200 μg, alongside other antigens (SLAMF7, CD70 and EDA) using Freund’s adjuvants, while monitoring anti-CD33 humoral immune response by indirect enzyme-linked immunosorbent assay (ELISA), using CD33-coated plates, plasma samples, and the Goat anti-Llama IgG (H + L) Secondary Antibody, horseradish peroxidase (HRP) (Thermo Fisher Scientific Cat# A16060, RRID: AB_2534733 ).

    Techniques: Binding Assay

    Functional characterization of SdAb-CAR-T cells (A) Population doublings during 14 days of CAR-T cell expansion. (B–D) FACS characterization of untransduced T cells (UTD) and CAR-T cells at baseline and after 12–14 days. Repeated measures ANOVA with Tukey’s multiple comparisons (FDR correction) was performed for all compositional analyses. (B) T cell populations (CD8/CD4) and (C) subpopulations (Te: effector, Tem: effector memory, Tcm: central memory, Tscm: stem cell memory, Tn: naive) of CD4 (left) and CD8 (right) T cells. (D) CAR+ % over total T cells. (E) Activation and exhaustion markers of CD4+ CAR-T cells. (F) CAR-T cytotoxicity on three different AML cell lines expressing different levels of CD33 (MFI of stained cells on left panel) evaluated via luciferase activity. (G) Cytokine expression in the supernatant of 1:1 E:T co-cultures: IL2 (left) and IFNγ (right). n = 6 independent healthy donors aged between 18 and 26 years old n = 4 for Nb1 (not included in the first experiments). Statistical analysis was performed using two-way ANOVA for repeated measurements with Tukey's multiple comparisons with FDR correction. Results are shown as mean and error bars represent the standard deviation (SD) derived from biological (A–F) or technical (G) replicates. ∗ p < 0.05,∗∗ p < 0.01, ∗∗∗ p < 0.001.

    Journal: Molecular Therapy Oncology

    Article Title: Discovery and preclinical development of a SdAb-based CAR-T technology for targeting CD33 in AML

    doi: 10.1016/j.omton.2025.200949

    Figure Lengend Snippet: Functional characterization of SdAb-CAR-T cells (A) Population doublings during 14 days of CAR-T cell expansion. (B–D) FACS characterization of untransduced T cells (UTD) and CAR-T cells at baseline and after 12–14 days. Repeated measures ANOVA with Tukey’s multiple comparisons (FDR correction) was performed for all compositional analyses. (B) T cell populations (CD8/CD4) and (C) subpopulations (Te: effector, Tem: effector memory, Tcm: central memory, Tscm: stem cell memory, Tn: naive) of CD4 (left) and CD8 (right) T cells. (D) CAR+ % over total T cells. (E) Activation and exhaustion markers of CD4+ CAR-T cells. (F) CAR-T cytotoxicity on three different AML cell lines expressing different levels of CD33 (MFI of stained cells on left panel) evaluated via luciferase activity. (G) Cytokine expression in the supernatant of 1:1 E:T co-cultures: IL2 (left) and IFNγ (right). n = 6 independent healthy donors aged between 18 and 26 years old n = 4 for Nb1 (not included in the first experiments). Statistical analysis was performed using two-way ANOVA for repeated measurements with Tukey's multiple comparisons with FDR correction. Results are shown as mean and error bars represent the standard deviation (SD) derived from biological (A–F) or technical (G) replicates. ∗ p < 0.05,∗∗ p < 0.01, ∗∗∗ p < 0.001.

    Article Snippet: A male llama was immunized with the CD33 recombinant ectodomain (SinoBiological #12238-H08H) four times in-between 20 and 30 days at doses of 150 and 200 μg, alongside other antigens (SLAMF7, CD70 and EDA) using Freund’s adjuvants, while monitoring anti-CD33 humoral immune response by indirect enzyme-linked immunosorbent assay (ELISA), using CD33-coated plates, plasma samples, and the Goat anti-Llama IgG (H + L) Secondary Antibody, horseradish peroxidase (HRP) (Thermo Fisher Scientific Cat# A16060, RRID: AB_2534733 ).

    Techniques: Functional Assay, Activation Assay, Expressing, Staining, Luciferase, Activity Assay, Standard Deviation, Derivative Assay

    In vivo evaluation of CD33 targeted SdAb-based CAR-T cells on mouse xenograft AML model (A) Schematic representation of the optimized procedure on NGS mice created with BioRender.com . (B) Kaplan-Meier survival curves of low-dose (0.5 × 10 6 CAR-T cells/mice), intermediate-dose (1.5 × 10 6 CAR-T cells/mice), and high-dose (3 × 10 6 CAR-T cells/mice) treatments of AML (MOLM13) xenografted mice ( n = 8). For statistical analysis, survival curves were compared using the Log rank (Mantel-Cox) test, ∗∗ p < 0.01, ∗∗∗ p < 0.001. (C) In vivo tumoral progression in AML (MOLM13 luciferase+) xenografted mice treated with SdAb/ScFv-based CAR-T cells, and UTD T cells. Top panel: luminescence images of a sample of the treated mice (two males on the left and two females on the right), injected with luciferin at different time points. Bottom panel: progression of MOLM13 cells on each mouse, measured as luciferase activity (Total Flux), and corresponding survival curves, analyzed using the Log rank (Mantel-Cox) test, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

    Journal: Molecular Therapy Oncology

    Article Title: Discovery and preclinical development of a SdAb-based CAR-T technology for targeting CD33 in AML

    doi: 10.1016/j.omton.2025.200949

    Figure Lengend Snippet: In vivo evaluation of CD33 targeted SdAb-based CAR-T cells on mouse xenograft AML model (A) Schematic representation of the optimized procedure on NGS mice created with BioRender.com . (B) Kaplan-Meier survival curves of low-dose (0.5 × 10 6 CAR-T cells/mice), intermediate-dose (1.5 × 10 6 CAR-T cells/mice), and high-dose (3 × 10 6 CAR-T cells/mice) treatments of AML (MOLM13) xenografted mice ( n = 8). For statistical analysis, survival curves were compared using the Log rank (Mantel-Cox) test, ∗∗ p < 0.01, ∗∗∗ p < 0.001. (C) In vivo tumoral progression in AML (MOLM13 luciferase+) xenografted mice treated with SdAb/ScFv-based CAR-T cells, and UTD T cells. Top panel: luminescence images of a sample of the treated mice (two males on the left and two females on the right), injected with luciferin at different time points. Bottom panel: progression of MOLM13 cells on each mouse, measured as luciferase activity (Total Flux), and corresponding survival curves, analyzed using the Log rank (Mantel-Cox) test, ∗∗ p < 0.01, ∗∗∗ p < 0.001.

    Article Snippet: A male llama was immunized with the CD33 recombinant ectodomain (SinoBiological #12238-H08H) four times in-between 20 and 30 days at doses of 150 and 200 μg, alongside other antigens (SLAMF7, CD70 and EDA) using Freund’s adjuvants, while monitoring anti-CD33 humoral immune response by indirect enzyme-linked immunosorbent assay (ELISA), using CD33-coated plates, plasma samples, and the Goat anti-Llama IgG (H + L) Secondary Antibody, horseradish peroxidase (HRP) (Thermo Fisher Scientific Cat# A16060, RRID: AB_2534733 ).

    Techniques: In Vivo, Luciferase, Injection, Activity Assay

    a) Cryo-EM structure of 15G15.3 Fab (gray) bound to CD33 (violet), showing Trp96 forming key interactions with Lys52 (CD33) and Asp101 (Fab). Trp96 oxidizes at 97% under AAPH stress; W96F mutation abolishes binding ( > 1000-fold loss). b) Electrostatic potential of the lead candidate, with 12 mutated residues shown as pink spheres. c) Scatter plot of Trp oxidation vs. Epot for the lead and 13 variants; point color reflects relative KD. d) Summary of 13 engineered variants. S11 and S13 show improved oxidation resistance with preserved binding.

    Journal: bioRxiv

    Article Title: Rational design of oxidation-resistant antibodies through local electrostatic modulation

    doi: 10.1101/2025.06.29.662139

    Figure Lengend Snippet: a) Cryo-EM structure of 15G15.3 Fab (gray) bound to CD33 (violet), showing Trp96 forming key interactions with Lys52 (CD33) and Asp101 (Fab). Trp96 oxidizes at 97% under AAPH stress; W96F mutation abolishes binding ( > 1000-fold loss). b) Electrostatic potential of the lead candidate, with 12 mutated residues shown as pink spheres. c) Scatter plot of Trp oxidation vs. Epot for the lead and 13 variants; point color reflects relative KD. d) Summary of 13 engineered variants. S11 and S13 show improved oxidation resistance with preserved binding.

    Article Snippet: Briefly, each antibody variant was captured by Protein A sensor chip (Series S) on the different flow cell to achieve approximately 150 response units (RU), followed by the injection of fivefold serial dilutions of human CD33 protein (R&D Systems; 0.16 nM to 100 nM) in HBS-EP buffer.

    Techniques: Cryo-EM Sample Prep, Mutagenesis, Binding Assay

    Tmod can be adapted for blood cancer. (A) Diagram for Tmod system showing the two receptors that comprise the NOT gate targeting HLA loss of heterozygosity (LOH) in solid tumors. (B) Diagram for Tmod utilizing tandem receptors for blood cancer. (C) CD33 and CD16b mRNA expression in primary AML and healthy blood cells including T cells, neutrophils, monocytes, and hematopoietic stem cells (HSC) (data from sources shown; see <xref ref-type= Supplementary Table 1 ). (D) mRNA expression of targets in AML cell lines (n=43; DepMap). " width="100%" height="100%">

    Journal: Frontiers in Immunology

    Article Title: Multi-targeted, NOT gated CAR-T cells as a strategy to protect normal lineages for blood cancer therapy

    doi: 10.3389/fimmu.2025.1493329

    Figure Lengend Snippet: Tmod can be adapted for blood cancer. (A) Diagram for Tmod system showing the two receptors that comprise the NOT gate targeting HLA loss of heterozygosity (LOH) in solid tumors. (B) Diagram for Tmod utilizing tandem receptors for blood cancer. (C) CD33 and CD16b mRNA expression in primary AML and healthy blood cells including T cells, neutrophils, monocytes, and hematopoietic stem cells (HSC) (data from sources shown; see Supplementary Table 1 ). (D) mRNA expression of targets in AML cell lines (n=43; DepMap).

    Article Snippet: Engineered T cells were profiled via flow cytometry for construct expression using recombinant human CD33 (Acro Biosystems) and recombinant human CD16b (NA2) (Acro Biosystems).

    Techniques: Expressing

    CD33 | CD16b Tmod functions robustly in Jurkat and primary T cells. (A) Diagram of functional screen in Jurkat reporter cell line cocultured with K562 target cells transfected with different amounts of CD16b mRNA. Tmod transgene expression in Jurkat cells was detected by staining with recombinant human (rh) CD16b and CD33. (B) Diagram of functional parameters estimated from the Jurkat cell assay data. (C) Functional readout from 8-point mRNA titration curves. Three CARs combined with 4 blockers, that were selected for further analysis, are shown in color. Data are shown as mean ± standard deviation of technical replicates (n=2), normalized to each sample’s maximum activation. (D) Left, diagram of non-viral construct-screening in primary T cells using PiggyBac transposase and single vectors (BA vectors). Right, metrics used to quantify the potency and selectivity of the Tmod pair. (E) Flow cytometry analysis of stable integrants via staining with labeled recombinant human CD33 (see Methods). (E, F) T cell cytotoxicity curves generated from GFP signal at 48 hour time point with each well normalized to the zero time point. Tumor (CD33(+)CD16(-)) target-cell curves are shown with dashed lines and “normal” (CD33(+)CD16(+)) target-cell curves with solid lines. Black lines are CAR constructs and colored lines are Tmod constructs. Tumor cells are K562 cells engineered with CD33 and normal cells are K562 cells engineered to overexpress CD33 and CD16b. Data are shown as mean ± standard deviation of technical replicates (n=3). (G) Potency calculated as ET50 of Tmod cells cocultured with tumor cells. (H) Selectivity ratios are calculated as ET50 on normal cells divided by ET50 on tumor cells. (I) Kinetic cytotoxicity analysis of the most selective and potent construct compared to the CAR-T. GFP(+) area was used as proxy for target cell viability. Data are shown as mean ± standard deviation of technical replicates (n=3).

    Journal: Frontiers in Immunology

    Article Title: Multi-targeted, NOT gated CAR-T cells as a strategy to protect normal lineages for blood cancer therapy

    doi: 10.3389/fimmu.2025.1493329

    Figure Lengend Snippet: CD33 | CD16b Tmod functions robustly in Jurkat and primary T cells. (A) Diagram of functional screen in Jurkat reporter cell line cocultured with K562 target cells transfected with different amounts of CD16b mRNA. Tmod transgene expression in Jurkat cells was detected by staining with recombinant human (rh) CD16b and CD33. (B) Diagram of functional parameters estimated from the Jurkat cell assay data. (C) Functional readout from 8-point mRNA titration curves. Three CARs combined with 4 blockers, that were selected for further analysis, are shown in color. Data are shown as mean ± standard deviation of technical replicates (n=2), normalized to each sample’s maximum activation. (D) Left, diagram of non-viral construct-screening in primary T cells using PiggyBac transposase and single vectors (BA vectors). Right, metrics used to quantify the potency and selectivity of the Tmod pair. (E) Flow cytometry analysis of stable integrants via staining with labeled recombinant human CD33 (see Methods). (E, F) T cell cytotoxicity curves generated from GFP signal at 48 hour time point with each well normalized to the zero time point. Tumor (CD33(+)CD16(-)) target-cell curves are shown with dashed lines and “normal” (CD33(+)CD16(+)) target-cell curves with solid lines. Black lines are CAR constructs and colored lines are Tmod constructs. Tumor cells are K562 cells engineered with CD33 and normal cells are K562 cells engineered to overexpress CD33 and CD16b. Data are shown as mean ± standard deviation of technical replicates (n=3). (G) Potency calculated as ET50 of Tmod cells cocultured with tumor cells. (H) Selectivity ratios are calculated as ET50 on normal cells divided by ET50 on tumor cells. (I) Kinetic cytotoxicity analysis of the most selective and potent construct compared to the CAR-T. GFP(+) area was used as proxy for target cell viability. Data are shown as mean ± standard deviation of technical replicates (n=3).

    Article Snippet: Engineered T cells were profiled via flow cytometry for construct expression using recombinant human CD33 (Acro Biosystems) and recombinant human CD16b (NA2) (Acro Biosystems).

    Techniques: Functional Assay, Transfection, Expressing, Staining, Recombinant, Titration, Standard Deviation, Activation Assay, Construct, Flow Cytometry, Labeling, Generated

    CD33 | CD16b Tmod cells selectively kill tumor but not “normal” cells in vivo . (A) Schema for in vivo experiment. 2 million MV-4-11 AML cells or MV-4-11 cells that overexpress CD16b were injected into NSG-SGM3 mice and 6 days later 7.5 million T cells were injected. (B) Selectivity in vitro using MV-4-11 cells. Surrogate normal cells were generated by overexpression of CD16b in the AML cells. E:T cytotoxicity curves were generated from firefly luciferase bioluminescence at 48 hours. Data are shown as mean ± standard deviation of technical replicates (n=3). Inset: ET50 values of depicted curves. Data shown are interpolated values with 95% CI. (C) Flow cytometry analysis of construct expression by staining with labeled recombinant human CD16b and CD33. (D) Bioluminescence imaging (BLI) at 20 days post target-cell injection. (E) Flow cytometry analysis of MV-4-11 cells in the bone marrow 27 days post target-cell injection. (F) Quantification of data shown in panel. (E) Statistics were calculated using a non-parametric Kruskal-Wallis H test; *: 0.01 < adjusted p < 0.05; **: adjusted p value < 0.01; ns: not significant (adjusted p > 0.05).

    Journal: Frontiers in Immunology

    Article Title: Multi-targeted, NOT gated CAR-T cells as a strategy to protect normal lineages for blood cancer therapy

    doi: 10.3389/fimmu.2025.1493329

    Figure Lengend Snippet: CD33 | CD16b Tmod cells selectively kill tumor but not “normal” cells in vivo . (A) Schema for in vivo experiment. 2 million MV-4-11 AML cells or MV-4-11 cells that overexpress CD16b were injected into NSG-SGM3 mice and 6 days later 7.5 million T cells were injected. (B) Selectivity in vitro using MV-4-11 cells. Surrogate normal cells were generated by overexpression of CD16b in the AML cells. E:T cytotoxicity curves were generated from firefly luciferase bioluminescence at 48 hours. Data are shown as mean ± standard deviation of technical replicates (n=3). Inset: ET50 values of depicted curves. Data shown are interpolated values with 95% CI. (C) Flow cytometry analysis of construct expression by staining with labeled recombinant human CD16b and CD33. (D) Bioluminescence imaging (BLI) at 20 days post target-cell injection. (E) Flow cytometry analysis of MV-4-11 cells in the bone marrow 27 days post target-cell injection. (F) Quantification of data shown in panel. (E) Statistics were calculated using a non-parametric Kruskal-Wallis H test; *: 0.01 < adjusted p < 0.05; **: adjusted p value < 0.01; ns: not significant (adjusted p > 0.05).

    Article Snippet: Engineered T cells were profiled via flow cytometry for construct expression using recombinant human CD33 (Acro Biosystems) and recombinant human CD16b (NA2) (Acro Biosystems).

    Techniques: In Vivo, Injection, In Vitro, Generated, Over Expression, Luciferase, Standard Deviation, Flow Cytometry, Construct, Expressing, Staining, Labeling, Recombinant, Imaging

    Tandem Tmod constructs for blood cancer. (A) Diagram of a Tmod cell with bispecific activator to target AML (CD33) and other blood cancers (SPN) and bispecific blocker to protect HSCs (CLEC9A) and neutrophils (CD16b). (B) Target expression in primary blood cancers and healthy blood cells (data from sources shown; see <xref ref-type= Supplementary Table 1 ). (C) Target expression in blood cancer cell lines (DepMap). (D) Jurkat cell (SPN KO) functional readout of SPN | CD16b Tmod with blocker titration curves. (E) Jurkat cell (SPN KO) functional readout of SPN-CD33 tandem CAR activation and blocking by CD16b blocker in the presence of SPN and CD33 antigens. (F) Jurkat functional readout of binders cloned as CARs with titration of primary HSCs. (G) Jurkat functional readout of CD33 CAR4 blocked by tandem CLEC9A-CD16b blocker. (H) Jurkat functional readout of CD33 and/or SPN monospecific or bispecific activators paired with CD16b and/or CLEC9A monospecific or bispecific blockers. Data are shown as mean ± standard deviation of technical replicates (n=2). " width="100%" height="100%">

    Journal: Frontiers in Immunology

    Article Title: Multi-targeted, NOT gated CAR-T cells as a strategy to protect normal lineages for blood cancer therapy

    doi: 10.3389/fimmu.2025.1493329

    Figure Lengend Snippet: Tandem Tmod constructs for blood cancer. (A) Diagram of a Tmod cell with bispecific activator to target AML (CD33) and other blood cancers (SPN) and bispecific blocker to protect HSCs (CLEC9A) and neutrophils (CD16b). (B) Target expression in primary blood cancers and healthy blood cells (data from sources shown; see Supplementary Table 1 ). (C) Target expression in blood cancer cell lines (DepMap). (D) Jurkat cell (SPN KO) functional readout of SPN | CD16b Tmod with blocker titration curves. (E) Jurkat cell (SPN KO) functional readout of SPN-CD33 tandem CAR activation and blocking by CD16b blocker in the presence of SPN and CD33 antigens. (F) Jurkat functional readout of binders cloned as CARs with titration of primary HSCs. (G) Jurkat functional readout of CD33 CAR4 blocked by tandem CLEC9A-CD16b blocker. (H) Jurkat functional readout of CD33 and/or SPN monospecific or bispecific activators paired with CD16b and/or CLEC9A monospecific or bispecific blockers. Data are shown as mean ± standard deviation of technical replicates (n=2).

    Article Snippet: Engineered T cells were profiled via flow cytometry for construct expression using recombinant human CD33 (Acro Biosystems) and recombinant human CD16b (NA2) (Acro Biosystems).

    Techniques: Construct, Expressing, Functional Assay, Titration, Activation Assay, Blocking Assay, Clone Assay, Standard Deviation

    Preparation and characterization of CD33 NPs. (A) Schematic overview of the antibody–nanoparticle conjugation process, using maleimide–thiol chemistry. (B) Table summarizing conjugated NPs characteristics in terms of drug loading, amount of antibody conjugated obtained via Micro BCA, DLS-measured hydrodynamic diameter (nm), and polydispersity index (PdI) values, and PALS-measured zeta potential values. Data are presented as mean ± SD, from measurements performed in triplicate and averaged from at least n = 3. (C) TEM images of CD33 NPs, representative of two independent experiments.

    Journal: Biomacromolecules

    Article Title: Development of CD33-Targeted Dual Drug-Loaded Nanoparticles for the Treatment of Pediatric Acute Myeloid Leukemia

    doi: 10.1021/acs.biomac.4c00672

    Figure Lengend Snippet: Preparation and characterization of CD33 NPs. (A) Schematic overview of the antibody–nanoparticle conjugation process, using maleimide–thiol chemistry. (B) Table summarizing conjugated NPs characteristics in terms of drug loading, amount of antibody conjugated obtained via Micro BCA, DLS-measured hydrodynamic diameter (nm), and polydispersity index (PdI) values, and PALS-measured zeta potential values. Data are presented as mean ± SD, from measurements performed in triplicate and averaged from at least n = 3. (C) TEM images of CD33 NPs, representative of two independent experiments.

    Article Snippet: FLISA studies were performed as previously described, using recombinant human CD33-Fc (Sino Biological) at 1 μg/mL to coat the plate wells.

    Techniques: Conjugation Assay, Zeta Potential Analyzer

    Binding of nanoformulations to recombinant CD33-Fc and CD33-expressing cells. (A–D) Binding of rhodamine 6G-loaded NPs to recombinant CD33-Fc in FLISA assays: (A) dose-dependent binding, (B) binding of NPs (50 μg polymer/mL) ± preincubation with CD33-Fc (10 μg/mL), (C) binding of NPs (500 μg polymer/mL) ± preblock with CD33 mAb (40 μg/mL), (D) binding of NPs (500 μg polymer/mL) in competition with varying concentrations of gemtuzumab (0.00256–40 μg/mL). Data are presented as mean ± SD, n = 3. (E) Binding of nonfluorescent nanoformulations to CD33-Fc and IgG-Fc evaluated by SPR: (i) binding of the NPs at 4 mg/mL to CD33-Fc and IgG-Fc, (ii) binding of CD33 NPs to CD33-Fc at varying concentrations, with linear regression and corresponding goodness of fit ( R 2 ). Binding is presented as response relative to baseline observed 5 s before the end of the injection period. Data are presented as mean ± SD, n = 2. (F) Cells were treated with blank CD33 or nude NPs (750 μg polymer/mL) for 1 h at 4 °C. Then, cells were washed, stained with PE-labeled anti-CD33 antibody or isotype control antibody, and PE-fluorescence was analyzed by flow cytometry. Representative histograms are shown for each condition tested, (i), as well as the corresponding reduction of fluorescence compared with the positive stained control observed after treatment with the NPs for each cell line (ii). (G) Confocal microscopy images of MOLM-13 cells treated with 500 μg polymer/mL rhodamine 6G-loaded NPs for 1 h at 4 °C, followed by a washing step and a further 2 h-incubation at 37 °C. Scale bar is 50 μm, and blue and red staining denote cell nuclei and nanoparticles, respectively. Representative data from n = 2.

    Journal: Biomacromolecules

    Article Title: Development of CD33-Targeted Dual Drug-Loaded Nanoparticles for the Treatment of Pediatric Acute Myeloid Leukemia

    doi: 10.1021/acs.biomac.4c00672

    Figure Lengend Snippet: Binding of nanoformulations to recombinant CD33-Fc and CD33-expressing cells. (A–D) Binding of rhodamine 6G-loaded NPs to recombinant CD33-Fc in FLISA assays: (A) dose-dependent binding, (B) binding of NPs (50 μg polymer/mL) ± preincubation with CD33-Fc (10 μg/mL), (C) binding of NPs (500 μg polymer/mL) ± preblock with CD33 mAb (40 μg/mL), (D) binding of NPs (500 μg polymer/mL) in competition with varying concentrations of gemtuzumab (0.00256–40 μg/mL). Data are presented as mean ± SD, n = 3. (E) Binding of nonfluorescent nanoformulations to CD33-Fc and IgG-Fc evaluated by SPR: (i) binding of the NPs at 4 mg/mL to CD33-Fc and IgG-Fc, (ii) binding of CD33 NPs to CD33-Fc at varying concentrations, with linear regression and corresponding goodness of fit ( R 2 ). Binding is presented as response relative to baseline observed 5 s before the end of the injection period. Data are presented as mean ± SD, n = 2. (F) Cells were treated with blank CD33 or nude NPs (750 μg polymer/mL) for 1 h at 4 °C. Then, cells were washed, stained with PE-labeled anti-CD33 antibody or isotype control antibody, and PE-fluorescence was analyzed by flow cytometry. Representative histograms are shown for each condition tested, (i), as well as the corresponding reduction of fluorescence compared with the positive stained control observed after treatment with the NPs for each cell line (ii). (G) Confocal microscopy images of MOLM-13 cells treated with 500 μg polymer/mL rhodamine 6G-loaded NPs for 1 h at 4 °C, followed by a washing step and a further 2 h-incubation at 37 °C. Scale bar is 50 μm, and blue and red staining denote cell nuclei and nanoparticles, respectively. Representative data from n = 2.

    Article Snippet: FLISA studies were performed as previously described, using recombinant human CD33-Fc (Sino Biological) at 1 μg/mL to coat the plate wells.

    Techniques: Binding Assay, Recombinant, Expressing, Fluorophore-linked Immunoabsorbent Assay, Polymer, Injection, Staining, Labeling, Control, Fluorescence, Flow Cytometry, Confocal Microscopy, Incubation

    Targeted delivery of synergistic drug combination within dual CD33 NPs. (A) MV4-11, (B) MOLM-13, and (C) MOLM-14 cells were treated with blank or dual-loaded conjugated (CD33 NP) or nonconjugated (nude NP) nanoparticles for 1 h at 4 °C. Then, cells were washed, counted, and reseeded for 72 h of incubation at 37 °C, prior to measurement of cell viability. Where appropriate, cells were preincubated with 5 μg of free-gemtuzumab for 15 min at 4 °C and washed, prior to NP incubation. Data are presented as mean ± SD, n = 3.

    Journal: Biomacromolecules

    Article Title: Development of CD33-Targeted Dual Drug-Loaded Nanoparticles for the Treatment of Pediatric Acute Myeloid Leukemia

    doi: 10.1021/acs.biomac.4c00672

    Figure Lengend Snippet: Targeted delivery of synergistic drug combination within dual CD33 NPs. (A) MV4-11, (B) MOLM-13, and (C) MOLM-14 cells were treated with blank or dual-loaded conjugated (CD33 NP) or nonconjugated (nude NP) nanoparticles for 1 h at 4 °C. Then, cells were washed, counted, and reseeded for 72 h of incubation at 37 °C, prior to measurement of cell viability. Where appropriate, cells were preincubated with 5 μg of free-gemtuzumab for 15 min at 4 °C and washed, prior to NP incubation. Data are presented as mean ± SD, n = 3.

    Article Snippet: FLISA studies were performed as previously described, using recombinant human CD33-Fc (Sino Biological) at 1 μg/mL to coat the plate wells.

    Techniques: Incubation