biotinylated recombinant cd19 protein  (Miltenyi Biotec)

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Histogram showing in-silico analysis of CAR T cell-treated patients ( n = 4219) revealed a high relapse rate, with 42.11% ( n = 216 of n = 513 overall relapse patients) experiencing CD19-negative recurrence after monospecific CAR Therapy ( n = 2916). b Schematic overview of the CAR design strategy showing mono, bi, and trispecific constructs targeting CD19, CD20, and CD22. c Experimental workflow illustrating CAR screening: 1452 CARs were transduced into primary T cells and analyzed for signal-1 (activation), signal-2 (exhaustion), and signal-3 (cell death). Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . d Categorization of CARs into low (L), medium (M), and high (H) levels based on fluorescence intensity cutoffs determined by CD19 CARs as reference. e bar graph showing the distribution of 1452 screened CARs across L-, M-, and H-CARMSeD categories using the CARMSeD scoring system. f AI model development pipeline for CAR dysfunction risk prediction, based on 1,452 CAR constructs with an 80:20 split for training and testing. g–j Performance metrics of AI model predicting CARMSeD scores using 1452 CAR constructs. g ML learning curve of model accuracy over 50 epochs, achieving a training accuracy of 0.98 and validation accuracy of 0.95. h Scatter plot comparing measured versus predicted CARMSeD scores for training ( R 2 = 0.87) and validation ( R 2 = 0.83) sets. i Predicted versus measured CARMSeD scores on the validation set, categorized into low (blue), medium (orange), and high (green) CARMSeD. j Box plots show the median (center line), the 25th–75th percentiles (box), and whiskers extending to the minimum and maximum non-outlier values; individual points denote outliers. Numbers above each box indicate sequence counts. k Molecular dynamics simulation of CAR constructs with varying linker lengths, assessing scFv-scFv interaction. Structural conformations at 0 ns, 50 ns and 200 ns for different CAR scFv arrangements highlighting CDR regions (surface transparency 30%), Root Mean Square Deviation (RMSD) plots over 200 ns for both constructs, respectively, indicating structural stability and conformational changes. l Bar graph showing in vitro receptor binding affinity validation for top humanized scFvs of CD19, CD20, and CD22 CARs ( n = 6 biologically independent samples). Data represent mean ± SEM. ** p < 0.01; **** p < 0.001; ns: not significant. A non-parametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: In Silico, Construct, Activation Assay, Fluorescence, Biomarker Discovery, Sequencing, In Vitro, Binding Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic illustration of the K562 cell line model expressing individual or triple combinations of CD19 (purple), CD20 (red), and CD22 (yellow) antigens. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bar chart depicting the percentage expression of each antigen in K562 cell lines, both individually and in combination. c–f Line graph of cytotoxicity assays showing antigen-specific killing of K562 target cells. All tested constructs surpassed the performance of second-generation monospecific CD19 (m19) CAR T cells ( n = 3 biologically independent samples). g Heatmap showing comparison of proliferation rates for bispecific; b20/19 or b22/19, and trispecific; t20/19/22 CAR T cells, represented as fold expansion up to Day 17 with respect to the baseline at the time of cell seeding. h Schematic of the Raji WT cell line platform expressing CD19 (purple), CD20 (red), and CD22 (yellow) antigens, edited using CRISPR-Cas9 to generate knockout variants. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . i , j Line graph of cytotoxicity assays demonstrating the superior efficacy of b20/19 CAR T cells in eliminating antigen-negative Raji variants, compared to m19 CARs ( n = 5 biologically independent samples). k Schematic representation of the tumor rechallenge (TR) model using the Raji WT cell line (Raji WT ). Gray circles represent initial engraftment and monitoring phases, pink circle shows the first incubation with Raji WT , while purple circles indicate the timing of the RajiCD19 −/− rechallenge. l Heatmap representation of TR model showing IFN-γ secretion (pg/mL), percentage of tumor lysis (1:10; T: E), and the number of CAR T cells detected on days 7, 9, 11, 15, and 17 post-rechallenge ( n = 5 biologically independent samples). Data represent mean ± SEM. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Construct, Comparison, CRISPR, Knock-Out, Incubation, Lysis

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic timeline of in vivo lymphoma model for evaluation of monospecific and bispecific CAR T cells. Mice were xenografted with RajiWT cells (expressing CD19, CD20, and CD22) (day 0), followed by administration of m19 or b20/19 CAR T cells on day 5 and subsequent RajiCD19 −/− TR on day 12, 19 and 26. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bioluminescent imaging and ( c ) stacked area plot showing tumor burden quantification show effective tumor control by b20/19 CAR T cells versus m19 CARs ( n = 5). d CAR T cell survival over time ( n = 5 mice). e Kaplan-Meier survival curves showing survival outcomes over 70 days ( n = 5 mice). f Analysis of residual tumor CD19 or CD20 tumor cells over time ( n = 5 mice). g , h Bar plot showing Granzyme B and IFN-γ secretion from human CD8 + CAR T cells isolated b20/19 post-treatment to confirm functional cytotoxicity of b20/19 against CD19⁻ targets ( n = 5). The CAR T cells isolated from mice that received conventional monospecific (m)CD19 CAR T cells served as the control for comparison. i , j TR induced upregulation of exhaustion markers PD-1 and LAG-3 ( n = 5 mice). k Immunophenotyping of CAR T cells post-TR shows loss of central memory (T cm ) populations and increased PD-1 expression, consistent with functional exhaustion and limited engraftment ( n = 5 mice). Data represents mean ± SEM. ** p < 0.01; *** p < 0.005; **** p < 0.001. A non-parametric t-test was used for statistical analysis between groups, and for ( k ), a Two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: In Vivo, Expressing, Imaging, Control, Isolation, Functional Assay, Comparison

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Pathway analysis of proteins involved in AKT3 interaction, modifications or regulation of its expression with emphasis on FOXO4. b Relative mRNA expression levels (normalized to beta actin; ACTB) of key genes show upregulation of FOXO4 mRNA in b20/19-AKT3 PROTAC CAR T ( n = 6 biologically independent samples). c Flow cytometry histograms of total FOXO4 and phosphorylated FOXO4 (p-FOXO4) in CAR T cells after TR with RajiCD19 −/− cells. d Histogram analysis of the flow cytometry plots ( n = 10 biologically independent samples). e Bar graph shows the percentage of CD8 + CAR T cells expressing different phenotypes. Pie charts illustrate the proportional distribution of these subsets across conditions ( n = 5 biologically independent samples). f Survival of CAR T cells over 15 days under various conditions ( n = 4 biologically independent samples). g Violin plots showing the percentage of mTOR activity (% mTOR activity) in various conditions, with shRNA based FOXO4 knockdown elevated mTOR activity ( n = 6 biologically independent samples). h Bar plots show the percentage of MFI of autophagy from autophagic flux assay ( n = 8 data points from three independent experiments). i Dot plot showing ECAR in NTP PROTAC+Scram , NTP PROTAC+shFOXO4 , AKT3 PROTAC+Scram , and AKT3 PROTAC+shFOXO4 conditions, with FOXO4 knockdown increasing shift from OXPHOS to glycolysis ( n = 12 data points from three independent experiments). j Similarly, OCR with FOXO4 knockdown decreases mitochondrial respiration. Individual data points are shown for each condition ( n = 12 data points from three independent experiments). k Box-and-whisker plot showing percentage of expression of CD19 (yellow), CD20 (blue), and CD22 (purple) across 129 ALL patient samples, with varying expression levels for each marker ( n = 63 patient samples). l Bar graph showing the number of patient samples categorized as Negative/Dim, Moderate, or Bright for CD19, CD20, and CD22 expression. m Schematic illustration of K562 WT and CD20 expressing K562 stable cells transduced with different MOIs to obtain three populations: CD20 L (low), CD20 M (medium), and CD20 H (high), which were further FACS sorted. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . n Violin plots showing the percentage of CD20 expression (% CD20 expression) in the sorted CD20-expressing K562 cell populations, confirming distinct expression levels ( n = 10 data flow cytometry points from three independent experiments). o Representative super-resolution microscopy images of differential CD20 surface expression in K562 cells. Images show CD20 (red) in K562-CD20 L (low), K562-CD20 M (medium), and K562-CD20 H (high) cell. p–r Survival curves of K562 cells expressing varying CD20 expression levels under CAR T cell treatments. The line graph shows the percentage of CD20 + cell survival when treated with Rituximab-based monospecific CAR (Rtx-m20, dark green), in-house humanized anti-CD20 CAR (AB21-m20, green) ( n = 4 biologically independent samples). s Survival of CAR T cells with varying CD20-targeting CAR constructs over 15 days ( n = 5). Data represents mean ± SEM. **** p < 0.001. A nonparametric t-test was used for statistical analysis between groups. For e , f and s , a Two-way ANOVA followed by post-hoc testing was applied. Scale bar: 5 μm. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Flow Cytometry, Activity Assay, shRNA, Knockdown, Flux Assay, Whisker Assay, Marker, Transduction, Super-Resolution Microscopy, Construct

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic of the strategy for trispecific CAR T cells, integrating b20/19-AKT3 PROTAC with a secretory BiTE module consisting of nanobodies targeting CD3 and CD22 (nbCD3/22). b Correlation of expression of nbCD3, nbCD22, CD19 CAR, and CD20 CAR at various MOIs. The cells were treated with Brefeldin, and data were obtained using intracellular flow cytometry ( n = 7 data points from three independent experiments). c Experimental setup for T cell activation, using Jurkat-GFP cells and Dynabeads (db) coated with CD3 to assess secreted nbCD3/22 functionality via flow cytometry. d Dose-dependent T cell activation (CD69 expression) in response to culture supernatants (used at various ratios with culture media) with nbCD3/22, using db coated with CD3 for validation ( n = 6 data points from three independent experiments). e Line graph of HEK293T synNotch reporter assay showing dose-dependent inhibition of CD22-CAR signaling by nbCD22 in CAR T cell supernatants, confirming BiTE functionality under two condition 1 and condition 2. f Experimental timelines for in vitro T cell engineering, transduction, and co-culture with Raji cells (WT or knockout for CD19, CD20, or CD22). Anti-tumor assays were performed on days 9, 11, and 13. g , h Functional assay of CAR T cells against Raji cells (WT or knockout for CD19, CD20, or CD22) demonstrates that b20/19AKT3 PROTAC CAR T cells co-expressing nbCD3/22 exhibit stronger antitumor activity compared to b20/19-AKT3 PROTAC or mCD19 CAR T cells at Day 7 and Day 14. Data represent mean ± SEM. **** p < 0.001; ns: not significant. A nonparametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Flow Cytometry, Activation Assay, Biomarker Discovery, Reporter Assay, Inhibition, In Vitro, Transduction, Co-Culture Assay, Knock-Out, Functional Assay, Activity Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Histogram showing in-silico analysis of CAR T cell-treated patients ( n = 4219) revealed a high relapse rate, with 42.11% ( n = 216 of n = 513 overall relapse patients) experiencing CD19-negative recurrence after monospecific CAR Therapy ( n = 2916). b Schematic overview of the CAR design strategy showing mono, bi, and trispecific constructs targeting CD19, CD20, and CD22. c Experimental workflow illustrating CAR screening: 1452 CARs were transduced into primary T cells and analyzed for signal-1 (activation), signal-2 (exhaustion), and signal-3 (cell death). Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . d Categorization of CARs into low (L), medium (M), and high (H) levels based on fluorescence intensity cutoffs determined by CD19 CARs as reference. e bar graph showing the distribution of 1452 screened CARs across L-, M-, and H-CARMSeD categories using the CARMSeD scoring system. f AI model development pipeline for CAR dysfunction risk prediction, based on 1,452 CAR constructs with an 80:20 split for training and testing. g–j Performance metrics of AI model predicting CARMSeD scores using 1452 CAR constructs. g ML learning curve of model accuracy over 50 epochs, achieving a training accuracy of 0.98 and validation accuracy of 0.95. h Scatter plot comparing measured versus predicted CARMSeD scores for training ( R 2 = 0.87) and validation ( R 2 = 0.83) sets. i Predicted versus measured CARMSeD scores on the validation set, categorized into low (blue), medium (orange), and high (green) CARMSeD. j Box plots show the median (center line), the 25th–75th percentiles (box), and whiskers extending to the minimum and maximum non-outlier values; individual points denote outliers. Numbers above each box indicate sequence counts. k Molecular dynamics simulation of CAR constructs with varying linker lengths, assessing scFv-scFv interaction. Structural conformations at 0 ns, 50 ns and 200 ns for different CAR scFv arrangements highlighting CDR regions (surface transparency 30%), Root Mean Square Deviation (RMSD) plots over 200 ns for both constructs, respectively, indicating structural stability and conformational changes. l Bar graph showing in vitro receptor binding affinity validation for top humanized scFvs of CD19, CD20, and CD22 CARs ( n = 6 biologically independent samples). Data represent mean ± SEM. ** p < 0.01; **** p < 0.001; ns: not significant. A non-parametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: In Silico, Construct, Activation Assay, Fluorescence, Biomarker Discovery, Sequencing, In Vitro, Binding Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic illustration of the K562 cell line model expressing individual or triple combinations of CD19 (purple), CD20 (red), and CD22 (yellow) antigens. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bar chart depicting the percentage expression of each antigen in K562 cell lines, both individually and in combination. c–f Line graph of cytotoxicity assays showing antigen-specific killing of K562 target cells. All tested constructs surpassed the performance of second-generation monospecific CD19 (m19) CAR T cells ( n = 3 biologically independent samples). g Heatmap showing comparison of proliferation rates for bispecific; b20/19 or b22/19, and trispecific; t20/19/22 CAR T cells, represented as fold expansion up to Day 17 with respect to the baseline at the time of cell seeding. h Schematic of the Raji WT cell line platform expressing CD19 (purple), CD20 (red), and CD22 (yellow) antigens, edited using CRISPR-Cas9 to generate knockout variants. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . i , j Line graph of cytotoxicity assays demonstrating the superior efficacy of b20/19 CAR T cells in eliminating antigen-negative Raji variants, compared to m19 CARs ( n = 5 biologically independent samples). k Schematic representation of the tumor rechallenge (TR) model using the Raji WT cell line (Raji WT ). Gray circles represent initial engraftment and monitoring phases, pink circle shows the first incubation with Raji WT , while purple circles indicate the timing of the RajiCD19 −/− rechallenge. l Heatmap representation of TR model showing IFN-γ secretion (pg/mL), percentage of tumor lysis (1:10; T: E), and the number of CAR T cells detected on days 7, 9, 11, 15, and 17 post-rechallenge ( n = 5 biologically independent samples). Data represent mean ± SEM. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Construct, Comparison, CRISPR, Knock-Out, Incubation, Lysis

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic timeline of in vivo lymphoma model for evaluation of monospecific and bispecific CAR T cells. Mice were xenografted with RajiWT cells (expressing CD19, CD20, and CD22) (day 0), followed by administration of m19 or b20/19 CAR T cells on day 5 and subsequent RajiCD19 −/− TR on day 12, 19 and 26. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bioluminescent imaging and ( c ) stacked area plot showing tumor burden quantification show effective tumor control by b20/19 CAR T cells versus m19 CARs ( n = 5). d CAR T cell survival over time ( n = 5 mice). e Kaplan-Meier survival curves showing survival outcomes over 70 days ( n = 5 mice). f Analysis of residual tumor CD19 or CD20 tumor cells over time ( n = 5 mice). g , h Bar plot showing Granzyme B and IFN-γ secretion from human CD8 + CAR T cells isolated b20/19 post-treatment to confirm functional cytotoxicity of b20/19 against CD19⁻ targets ( n = 5). The CAR T cells isolated from mice that received conventional monospecific (m)CD19 CAR T cells served as the control for comparison. i , j TR induced upregulation of exhaustion markers PD-1 and LAG-3 ( n = 5 mice). k Immunophenotyping of CAR T cells post-TR shows loss of central memory (T cm ) populations and increased PD-1 expression, consistent with functional exhaustion and limited engraftment ( n = 5 mice). Data represents mean ± SEM. ** p < 0.01; *** p < 0.005; **** p < 0.001. A non-parametric t-test was used for statistical analysis between groups, and for ( k ), a Two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: In Vivo, Expressing, Imaging, Control, Isolation, Functional Assay, Comparison

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Pathway analysis of proteins involved in AKT3 interaction, modifications or regulation of its expression with emphasis on FOXO4. b Relative mRNA expression levels (normalized to beta actin; ACTB) of key genes show upregulation of FOXO4 mRNA in b20/19-AKT3 PROTAC CAR T ( n = 6 biologically independent samples). c Flow cytometry histograms of total FOXO4 and phosphorylated FOXO4 (p-FOXO4) in CAR T cells after TR with RajiCD19 −/− cells. d Histogram analysis of the flow cytometry plots ( n = 10 biologically independent samples). e Bar graph shows the percentage of CD8 + CAR T cells expressing different phenotypes. Pie charts illustrate the proportional distribution of these subsets across conditions ( n = 5 biologically independent samples). f Survival of CAR T cells over 15 days under various conditions ( n = 4 biologically independent samples). g Violin plots showing the percentage of mTOR activity (% mTOR activity) in various conditions, with shRNA based FOXO4 knockdown elevated mTOR activity ( n = 6 biologically independent samples). h Bar plots show the percentage of MFI of autophagy from autophagic flux assay ( n = 8 data points from three independent experiments). i Dot plot showing ECAR in NTP PROTAC+Scram , NTP PROTAC+shFOXO4 , AKT3 PROTAC+Scram , and AKT3 PROTAC+shFOXO4 conditions, with FOXO4 knockdown increasing shift from OXPHOS to glycolysis ( n = 12 data points from three independent experiments). j Similarly, OCR with FOXO4 knockdown decreases mitochondrial respiration. Individual data points are shown for each condition ( n = 12 data points from three independent experiments). k Box-and-whisker plot showing percentage of expression of CD19 (yellow), CD20 (blue), and CD22 (purple) across 129 ALL patient samples, with varying expression levels for each marker ( n = 63 patient samples). l Bar graph showing the number of patient samples categorized as Negative/Dim, Moderate, or Bright for CD19, CD20, and CD22 expression. m Schematic illustration of K562 WT and CD20 expressing K562 stable cells transduced with different MOIs to obtain three populations: CD20 L (low), CD20 M (medium), and CD20 H (high), which were further FACS sorted. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . n Violin plots showing the percentage of CD20 expression (% CD20 expression) in the sorted CD20-expressing K562 cell populations, confirming distinct expression levels ( n = 10 data flow cytometry points from three independent experiments). o Representative super-resolution microscopy images of differential CD20 surface expression in K562 cells. Images show CD20 (red) in K562-CD20 L (low), K562-CD20 M (medium), and K562-CD20 H (high) cell. p–r Survival curves of K562 cells expressing varying CD20 expression levels under CAR T cell treatments. The line graph shows the percentage of CD20 + cell survival when treated with Rituximab-based monospecific CAR (Rtx-m20, dark green), in-house humanized anti-CD20 CAR (AB21-m20, green) ( n = 4 biologically independent samples). s Survival of CAR T cells with varying CD20-targeting CAR constructs over 15 days ( n = 5). Data represents mean ± SEM. **** p < 0.001. A nonparametric t-test was used for statistical analysis between groups. For e , f and s , a Two-way ANOVA followed by post-hoc testing was applied. Scale bar: 5 μm. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Flow Cytometry, Activity Assay, shRNA, Knockdown, Flux Assay, Whisker Assay, Marker, Transduction, Super-Resolution Microscopy, Construct

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic timeline of the experiment showing Raji WT cell injection, CAR T cell administration, and Raji CD19 −/− TR. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b In vivo bioluminescence imaging of mice treated with NTP PROTAC+Scram , NTP PROTAC+shFOXO4 , AKT3 PROTAC+Scram , and AKT3 PROTAC+shFOXO4 , showing tumor burden (red indicates high tumor load, blue indicates low) over 84 days, with “X” marking deceased mice. c Tumor radiance over 84 days, demonstrating reduced tumor burden in the AKT3 PROTAC+scram group. d Kaplan-Meier survival curves, with the AKT3 PROTAC+scram group exhibiting the highest survival rate. e Line graph shows the percentage of CAR T cells detected in blood (% CAR T cells) over time. f Bar graph displays the percentage of CAR T cells in blood at day 84, with the AKT3 PROTAC+scram group showing detectable levels (~3%), while other groups were not analyzable due to the absence of surviving mice, indicated as not determined (ND) ( n = 5 mice). g Tumor burden assessment till day 56. The line graph shows the number of Raji cells over time. The AKT3 PROTAC+scram group exhibits no detectable Raji cell burden by day 56, while other groups with some surviving mice show some detectable cells ( n = 5 mice). h Bar graph shows the percentage of CD8 CAR T cells (% CD8 T cells) expressing different phenotypes on day 28 post-infusion with corresponding pie charts illustrating the proportional distribution ( n = 5 mice). i , j Dot plot showing ECAR and OCR under various conditions on day 28 ( n = 12 data points). Data represent mean ± SEM. *** p < 0.005; ****p < 0.001. A non-parametric t-test was used for statistical analysis between groups. The comparison was made between NTP PROTAC+Scram with NTPP ROTAC+shFOXO4 and AKT3 PROTAC+Scram with AKT3 PROTAC+shFOXO4 . For h , a Two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a Source Data file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Injection, In Vivo, Imaging, Expressing, Comparison

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic of the strategy for trispecific CAR T cells, integrating b20/19-AKT3 PROTAC with a secretory BiTE module consisting of nanobodies targeting CD3 and CD22 (nbCD3/22). b Correlation of expression of nbCD3, nbCD22, CD19 CAR, and CD20 CAR at various MOIs. The cells were treated with Brefeldin, and data were obtained using intracellular flow cytometry ( n = 7 data points from three independent experiments). c Experimental setup for T cell activation, using Jurkat-GFP cells and Dynabeads (db) coated with CD3 to assess secreted nbCD3/22 functionality via flow cytometry. d Dose-dependent T cell activation (CD69 expression) in response to culture supernatants (used at various ratios with culture media) with nbCD3/22, using db coated with CD3 for validation ( n = 6 data points from three independent experiments). e Line graph of HEK293T synNotch reporter assay showing dose-dependent inhibition of CD22-CAR signaling by nbCD22 in CAR T cell supernatants, confirming BiTE functionality under two condition 1 and condition 2. f Experimental timelines for in vitro T cell engineering, transduction, and co-culture with Raji cells (WT or knockout for CD19, CD20, or CD22). Anti-tumor assays were performed on days 9, 11, and 13. g , h Functional assay of CAR T cells against Raji cells (WT or knockout for CD19, CD20, or CD22) demonstrates that b20/19AKT3 PROTAC CAR T cells co-expressing nbCD3/22 exhibit stronger antitumor activity compared to b20/19-AKT3 PROTAC or mCD19 CAR T cells at Day 7 and Day 14. Data represent mean ± SEM. **** p < 0.001; ns: not significant. A nonparametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: Expressing, Flow Cytometry, Activation Assay, Biomarker Discovery, Reporter Assay, Inhibition, In Vitro, Transduction, Co-Culture Assay, Knock-Out, Functional Assay, Activity Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Experimental timeline for in vivo study in Raji WT or NALM6 WT model followed by CAR T cell administration and TR with double knockout Raji CD19/CD20−/− or double knockout NALM6 CD19/CD20−/− cells. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bioluminescence imaging of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC or b20/19-AKT3 PROTAC+nbCD3/22 CAR T cells, monitored from Day 7 to Day 84. c Line graph of quantified tumor radiance over time, showing sustained tumor control in Raji and NALM6 models with b20/19-AKT3 PROTAC+nbCD3/22 . d Line graph of percentage of CAR T cells in the blood of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC or b20/19-AKT3 PROTAC+nbCD3/22 , measured over 56 days. e Bar graph of CAR T cell populations in blood at Day 56. f Levels of nbCD3/22 (pg/mL) in the blood of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC+nbCD3/22 , measured over 56 days, showing sustained secretion. g Kaplan-Meier survival curves demonstrating improved survival with nbCD3/22-modified CAR T cells. h Bar graph and pie charts compare b20/19-AKT3 PROTAC and b20/19-AKT3 PROTAC+nbCD3/22 , showing various memory T cell subsets over time ( n = 5 mice) in all conditions. Data represent mean ± SEM. **** p < 0.001. A two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a file.

Article Snippet: Briefly, CD19, CD22 CAR expression was evaluated using CD19 and CD22 CAR detection reagents (Miltenyi Biotec, #130-129-550, #130-126-727) and CD20 CAR expression was evaluated using Protein L-APC (CST #29480) or biotinylated anti CD20 antibody (Acro biosystems) followed by PE-conjugated anti-biotin secondary antibodies (Miltenyi Biotec, #130-110-951).

Techniques: In Vivo, Double Knockout, Imaging, Control, Modification

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Histogram showing in-silico analysis of CAR T cell-treated patients ( n = 4219) revealed a high relapse rate, with 42.11% ( n = 216 of n = 513 overall relapse patients) experiencing CD19-negative recurrence after monospecific CAR Therapy ( n = 2916). b Schematic overview of the CAR design strategy showing mono, bi, and trispecific constructs targeting CD19, CD20, and CD22. c Experimental workflow illustrating CAR screening: 1452 CARs were transduced into primary T cells and analyzed for signal-1 (activation), signal-2 (exhaustion), and signal-3 (cell death). Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . d Categorization of CARs into low (L), medium (M), and high (H) levels based on fluorescence intensity cutoffs determined by CD19 CARs as reference. e bar graph showing the distribution of 1452 screened CARs across L-, M-, and H-CARMSeD categories using the CARMSeD scoring system. f AI model development pipeline for CAR dysfunction risk prediction, based on 1,452 CAR constructs with an 80:20 split for training and testing. g–j Performance metrics of AI model predicting CARMSeD scores using 1452 CAR constructs. g ML learning curve of model accuracy over 50 epochs, achieving a training accuracy of 0.98 and validation accuracy of 0.95. h Scatter plot comparing measured versus predicted CARMSeD scores for training ( R 2 = 0.87) and validation ( R 2 = 0.83) sets. i Predicted versus measured CARMSeD scores on the validation set, categorized into low (blue), medium (orange), and high (green) CARMSeD. j Box plots show the median (center line), the 25th–75th percentiles (box), and whiskers extending to the minimum and maximum non-outlier values; individual points denote outliers. Numbers above each box indicate sequence counts. k Molecular dynamics simulation of CAR constructs with varying linker lengths, assessing scFv-scFv interaction. Structural conformations at 0 ns, 50 ns and 200 ns for different CAR scFv arrangements highlighting CDR regions (surface transparency 30%), Root Mean Square Deviation (RMSD) plots over 200 ns for both constructs, respectively, indicating structural stability and conformational changes. l Bar graph showing in vitro receptor binding affinity validation for top humanized scFvs of CD19, CD20, and CD22 CARs ( n = 6 biologically independent samples). Data represent mean ± SEM. ** p < 0.01; **** p < 0.001; ns: not significant. A non-parametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: In Silico, Construct, Activation Assay, Fluorescence, Biomarker Discovery, Sequencing, In Vitro, Binding Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic illustration of the K562 cell line model expressing individual or triple combinations of CD19 (purple), CD20 (red), and CD22 (yellow) antigens. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bar chart depicting the percentage expression of each antigen in K562 cell lines, both individually and in combination. c–f Line graph of cytotoxicity assays showing antigen-specific killing of K562 target cells. All tested constructs surpassed the performance of second-generation monospecific CD19 (m19) CAR T cells ( n = 3 biologically independent samples). g Heatmap showing comparison of proliferation rates for bispecific; b20/19 or b22/19, and trispecific; t20/19/22 CAR T cells, represented as fold expansion up to Day 17 with respect to the baseline at the time of cell seeding. h Schematic of the Raji WT cell line platform expressing CD19 (purple), CD20 (red), and CD22 (yellow) antigens, edited using CRISPR-Cas9 to generate knockout variants. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . i , j Line graph of cytotoxicity assays demonstrating the superior efficacy of b20/19 CAR T cells in eliminating antigen-negative Raji variants, compared to m19 CARs ( n = 5 biologically independent samples). k Schematic representation of the tumor rechallenge (TR) model using the Raji WT cell line (Raji WT ). Gray circles represent initial engraftment and monitoring phases, pink circle shows the first incubation with Raji WT , while purple circles indicate the timing of the RajiCD19 −/− rechallenge. l Heatmap representation of TR model showing IFN-γ secretion (pg/mL), percentage of tumor lysis (1:10; T: E), and the number of CAR T cells detected on days 7, 9, 11, 15, and 17 post-rechallenge ( n = 5 biologically independent samples). Data represent mean ± SEM. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: Expressing, Construct, Comparison, CRISPR, Knock-Out, Incubation, Lysis

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic timeline of in vivo lymphoma model for evaluation of monospecific and bispecific CAR T cells. Mice were xenografted with RajiWT cells (expressing CD19, CD20, and CD22) (day 0), followed by administration of m19 or b20/19 CAR T cells on day 5 and subsequent RajiCD19 −/− TR on day 12, 19 and 26. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bioluminescent imaging and ( c ) stacked area plot showing tumor burden quantification show effective tumor control by b20/19 CAR T cells versus m19 CARs ( n = 5). d CAR T cell survival over time ( n = 5 mice). e Kaplan-Meier survival curves showing survival outcomes over 70 days ( n = 5 mice). f Analysis of residual tumor CD19 or CD20 tumor cells over time ( n = 5 mice). g , h Bar plot showing Granzyme B and IFN-γ secretion from human CD8 + CAR T cells isolated b20/19 post-treatment to confirm functional cytotoxicity of b20/19 against CD19⁻ targets ( n = 5). The CAR T cells isolated from mice that received conventional monospecific (m)CD19 CAR T cells served as the control for comparison. i , j TR induced upregulation of exhaustion markers PD-1 and LAG-3 ( n = 5 mice). k Immunophenotyping of CAR T cells post-TR shows loss of central memory (T cm ) populations and increased PD-1 expression, consistent with functional exhaustion and limited engraftment ( n = 5 mice). Data represents mean ± SEM. ** p < 0.01; *** p < 0.005; **** p < 0.001. A non-parametric t-test was used for statistical analysis between groups, and for ( k ), a Two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: In Vivo, Expressing, Imaging, Control, Isolation, Functional Assay, Comparison

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Pathway analysis of proteins involved in AKT3 interaction, modifications or regulation of its expression with emphasis on FOXO4. b Relative mRNA expression levels (normalized to beta actin; ACTB) of key genes show upregulation of FOXO4 mRNA in b20/19-AKT3 PROTAC CAR T ( n = 6 biologically independent samples). c Flow cytometry histograms of total FOXO4 and phosphorylated FOXO4 (p-FOXO4) in CAR T cells after TR with RajiCD19 −/− cells. d Histogram analysis of the flow cytometry plots ( n = 10 biologically independent samples). e Bar graph shows the percentage of CD8 + CAR T cells expressing different phenotypes. Pie charts illustrate the proportional distribution of these subsets across conditions ( n = 5 biologically independent samples). f Survival of CAR T cells over 15 days under various conditions ( n = 4 biologically independent samples). g Violin plots showing the percentage of mTOR activity (% mTOR activity) in various conditions, with shRNA based FOXO4 knockdown elevated mTOR activity ( n = 6 biologically independent samples). h Bar plots show the percentage of MFI of autophagy from autophagic flux assay ( n = 8 data points from three independent experiments). i Dot plot showing ECAR in NTP PROTAC+Scram , NTP PROTAC+shFOXO4 , AKT3 PROTAC+Scram , and AKT3 PROTAC+shFOXO4 conditions, with FOXO4 knockdown increasing shift from OXPHOS to glycolysis ( n = 12 data points from three independent experiments). j Similarly, OCR with FOXO4 knockdown decreases mitochondrial respiration. Individual data points are shown for each condition ( n = 12 data points from three independent experiments). k Box-and-whisker plot showing percentage of expression of CD19 (yellow), CD20 (blue), and CD22 (purple) across 129 ALL patient samples, with varying expression levels for each marker ( n = 63 patient samples). l Bar graph showing the number of patient samples categorized as Negative/Dim, Moderate, or Bright for CD19, CD20, and CD22 expression. m Schematic illustration of K562 WT and CD20 expressing K562 stable cells transduced with different MOIs to obtain three populations: CD20 L (low), CD20 M (medium), and CD20 H (high), which were further FACS sorted. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . n Violin plots showing the percentage of CD20 expression (% CD20 expression) in the sorted CD20-expressing K562 cell populations, confirming distinct expression levels ( n = 10 data flow cytometry points from three independent experiments). o Representative super-resolution microscopy images of differential CD20 surface expression in K562 cells. Images show CD20 (red) in K562-CD20 L (low), K562-CD20 M (medium), and K562-CD20 H (high) cell. p–r Survival curves of K562 cells expressing varying CD20 expression levels under CAR T cell treatments. The line graph shows the percentage of CD20 + cell survival when treated with Rituximab-based monospecific CAR (Rtx-m20, dark green), in-house humanized anti-CD20 CAR (AB21-m20, green) ( n = 4 biologically independent samples). s Survival of CAR T cells with varying CD20-targeting CAR constructs over 15 days ( n = 5). Data represents mean ± SEM. **** p < 0.001. A nonparametric t-test was used for statistical analysis between groups. For e , f and s , a Two-way ANOVA followed by post-hoc testing was applied. Scale bar: 5 μm. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: Expressing, Flow Cytometry, Activity Assay, shRNA, Knockdown, Flux Assay, Whisker Assay, Marker, Transduction, Super-Resolution Microscopy, Construct

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic timeline of the experiment showing Raji WT cell injection, CAR T cell administration, and Raji CD19 −/− TR. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b In vivo bioluminescence imaging of mice treated with NTP PROTAC+Scram , NTP PROTAC+shFOXO4 , AKT3 PROTAC+Scram , and AKT3 PROTAC+shFOXO4 , showing tumor burden (red indicates high tumor load, blue indicates low) over 84 days, with “X” marking deceased mice. c Tumor radiance over 84 days, demonstrating reduced tumor burden in the AKT3 PROTAC+scram group. d Kaplan-Meier survival curves, with the AKT3 PROTAC+scram group exhibiting the highest survival rate. e Line graph shows the percentage of CAR T cells detected in blood (% CAR T cells) over time. f Bar graph displays the percentage of CAR T cells in blood at day 84, with the AKT3 PROTAC+scram group showing detectable levels (~3%), while other groups were not analyzable due to the absence of surviving mice, indicated as not determined (ND) ( n = 5 mice). g Tumor burden assessment till day 56. The line graph shows the number of Raji cells over time. The AKT3 PROTAC+scram group exhibits no detectable Raji cell burden by day 56, while other groups with some surviving mice show some detectable cells ( n = 5 mice). h Bar graph shows the percentage of CD8 CAR T cells (% CD8 T cells) expressing different phenotypes on day 28 post-infusion with corresponding pie charts illustrating the proportional distribution ( n = 5 mice). i , j Dot plot showing ECAR and OCR under various conditions on day 28 ( n = 12 data points). Data represent mean ± SEM. *** p < 0.005; ****p < 0.001. A non-parametric t-test was used for statistical analysis between groups. The comparison was made between NTP PROTAC+Scram with NTPP ROTAC+shFOXO4 and AKT3 PROTAC+Scram with AKT3 PROTAC+shFOXO4 . For h , a Two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a Source Data file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: Injection, In Vivo, Imaging, Expressing, Comparison

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Schematic of the strategy for trispecific CAR T cells, integrating b20/19-AKT3 PROTAC with a secretory BiTE module consisting of nanobodies targeting CD3 and CD22 (nbCD3/22). b Correlation of expression of nbCD3, nbCD22, CD19 CAR, and CD20 CAR at various MOIs. The cells were treated with Brefeldin, and data were obtained using intracellular flow cytometry ( n = 7 data points from three independent experiments). c Experimental setup for T cell activation, using Jurkat-GFP cells and Dynabeads (db) coated with CD3 to assess secreted nbCD3/22 functionality via flow cytometry. d Dose-dependent T cell activation (CD69 expression) in response to culture supernatants (used at various ratios with culture media) with nbCD3/22, using db coated with CD3 for validation ( n = 6 data points from three independent experiments). e Line graph of HEK293T synNotch reporter assay showing dose-dependent inhibition of CD22-CAR signaling by nbCD22 in CAR T cell supernatants, confirming BiTE functionality under two condition 1 and condition 2. f Experimental timelines for in vitro T cell engineering, transduction, and co-culture with Raji cells (WT or knockout for CD19, CD20, or CD22). Anti-tumor assays were performed on days 9, 11, and 13. g , h Functional assay of CAR T cells against Raji cells (WT or knockout for CD19, CD20, or CD22) demonstrates that b20/19AKT3 PROTAC CAR T cells co-expressing nbCD3/22 exhibit stronger antitumor activity compared to b20/19-AKT3 PROTAC or mCD19 CAR T cells at Day 7 and Day 14. Data represent mean ± SEM. **** p < 0.001; ns: not significant. A nonparametric t-test was used for statistical analysis between groups. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: Expressing, Flow Cytometry, Activation Assay, Biomarker Discovery, Reporter Assay, Inhibition, In Vitro, Transduction, Co-Culture Assay, Knock-Out, Functional Assay, Activity Assay

Journal: Nature Communications

Article Title: AI-guided CAR designs and targeted pathway modulation to enhance multi-antigen CAR T cell durability and overcome antigen escape

doi: 10.1038/s41467-025-68272-5

Figure Lengend Snippet: a Experimental timeline for in vivo study in Raji WT or NALM6 WT model followed by CAR T cell administration and TR with double knockout Raji CD19/CD20−/− or double knockout NALM6 CD19/CD20−/− cells. Created in BioRender. Chauhan, V. (2025) https://BioRender.com/uj3gas6 . b Bioluminescence imaging of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC or b20/19-AKT3 PROTAC+nbCD3/22 CAR T cells, monitored from Day 7 to Day 84. c Line graph of quantified tumor radiance over time, showing sustained tumor control in Raji and NALM6 models with b20/19-AKT3 PROTAC+nbCD3/22 . d Line graph of percentage of CAR T cells in the blood of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC or b20/19-AKT3 PROTAC+nbCD3/22 , measured over 56 days. e Bar graph of CAR T cell populations in blood at Day 56. f Levels of nbCD3/22 (pg/mL) in the blood of Raji and NALM6 tumor-bearing mice treated with b20/19-AKT3 PROTAC+nbCD3/22 , measured over 56 days, showing sustained secretion. g Kaplan-Meier survival curves demonstrating improved survival with nbCD3/22-modified CAR T cells. h Bar graph and pie charts compare b20/19-AKT3 PROTAC and b20/19-AKT3 PROTAC+nbCD3/22 , showing various memory T cell subsets over time ( n = 5 mice) in all conditions. Data represent mean ± SEM. **** p < 0.001. A two-way ANOVA followed by post-hoc testing was applied. Source data are provided as a file.

Article Snippet: The percentage of transduced T cells was determined using the CD19 CAR detection reagent (Miltenyi Biotec, #130-129-550) following the manufacturer’s instructions, and flow cytometry analysis was done after day 5 of transduction, unless otherwise specified.

Techniques: In Vivo, Double Knockout, Imaging, Control, Modification