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<t>SRSF1</t> levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001
Srsf1, supplied by Danaher Inc, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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<t>SRSF1</t> levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001
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<t>SRSF1</t> levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001
Srsf1 Antibody, supplied by Millipore, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: RNA Sequencing Assay, Expressing, Marker, Western Blot, Comparison, Two Tailed Test

SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: Knock-Out, Expressing, Comparison, Flow Cytometry, Two Tailed Test

SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: Expressing, Western Blot, Luciferase, Binding Assay, Knock-Out, Control, Two Tailed Test

Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: Western Blot, Binding Assay, Expressing, Transfection, Comparison

Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: In Vitro, Co-Culture Assay, Inhibition, Cell Culture, SPR Assay, Expressing, Western Blot, Two Tailed Test

The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Article Snippet: Cell lysates and supernatants were resolved by electrophoresis, transferred to a polyvinylidene fluoride membrane, and probed with antibodies against β-tubulin (Cat# 2128, Cell Signaling Technology), beta-Actin antibody (Cat#ab6276, Abcam), NLK (Cat# ab97642, Abcam), Foxo1 (Cat# ab39670, Abcam), S6 (Cat# 2217, Cell Signaling Technology), p-S6 (Cat# 4858, Cell Signaling Technology), mTOR (Cat# ab134903, Abcam), PTEN (Cat# ab267787, Abcam), JunB (Cat# ab128878, Abcam), c-JUN (Cat# ab40766, Abcam), c-myc (Cat# ab32072, Abcam), CD38 (Cat# ab108403, Abcam), LDHA (Cat# ab52488, Abcam), PGAM1 (Cat# ab129191, Abcam), PGK1 (Cat# ab199438, Abcam), SRSF1 (Cat# ab129108, Abcam).

Techniques: Expressing, Two Tailed Test

SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: RNA Sequencing Assay, Expressing, Marker, Western Blot, Comparison, Two Tailed Test

SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: Knock-Out, Expressing, Comparison, Flow Cytometry, Two Tailed Test

SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: Expressing, Western Blot, Luciferase, Binding Assay, Knock-Out, Control, Two Tailed Test

Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: Western Blot, Binding Assay, Expressing, Transfection, Comparison

Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: In Vitro, Co-Culture Assay, Inhibition, Cell Culture, SPR Assay, Expressing, Western Blot, Two Tailed Test

The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Article Snippet: IHC was performed with rabbit anti-human SRSF1 (1:100; Cat# ab129108, Abcam).

Techniques: Expressing, Two Tailed Test

SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 levels are associated with exhausted phenotypes in CD8 + T cells. a Diagram illustrating the workflow of single-cell RNA sequencing (scRNA-seq) analysis. The figure was obtained by using Biorender ( https://app.biorender.com/ ). b UMAP visualizations depicting various clusters within human CD8 + T cells. Clusters 0, 1, and 6 represent naive CD8 + T cells; Cluster 2 corresponds to effector CD8 + T cells; Clusters 3, 4, and 5 consist of exhausted CD8 + T cells. c Dotplots illustrate the expression levels of SRSF1 and T cell marker genes across various cell clusters. d Scatter plots illustrate differentially expressed genes (DEGs) between cytotoxic and exhausted CD8 + T cells. e UMAP plots for the cell clusters in murine CD8 + T cells. Cluster 0 consists of exhausted CD8 + T cells; Clusters 1, 2, 3, 4, and 6 comprise naive CD8 + T cells; Cluster 5 contains effector CD8 + T cells. f Dotplots showing marker genes for distinct cell clusters. g Expression of SRSF1 in exhausted CD8 + T cells from both tumor and normal tissues. h Western blot showing SRSF1 expressed more in exhausted CD8 + T cells than activated CD8 + T cells. i Schematic diagram of scRNA-seq analysis flow for HCC patients undergoing neoadjuvant anti-PD-1 therapy. The figure was obtained by using Biorender ( https://app.biorender.com/ ). j UMAP visualizations for various clusters in human CD8 + T cells. k UMAP plots illustrate cluster variations between anti-PD-1 non-responsive and responsive groups. l Barplots showing different CD8 + T cell clusters in different anti-PD-1 nonresponsive and responsive groups. m Comparison of SRSF1 expression in exhausted CD8 + T cells between nonresponsive and responsive groups. Data presented as mean ± S.E.M. Statistical significance was determined by Wilcoxon signed rank test and two-tailed unpaired t test. The p value is 0.05, the p value is 0.0001

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: RNA Sequencing Assay, Expressing, Marker, Western Blot, Comparison, Two Tailed Test

SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells enhance its cytotoxicity. a The schematic diagram of establishment of Srsf1 conditional knockout in CD8 + T cell and Srsf1 expression between two groups from CD8 + T cells. b , c Comparison of HCC progression between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice, with n = 6 for each group. d The study examined the tumor count (left panel) and the liver-to-body weight ratio (right panel) in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mouse groups, with each group consisting of six mice. e Kaplan-Meier survival analysis for Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 6 per group). f , g The UMAP of T cells from murine HCC tissues. NC: Srsf1 +/+ Cd4-cre mice, KO: Srsf1 fl/fl Cd4-cre. h The T cell subset proportions in Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice ( n = 3 per group) were analyzed. i Analysis of scRNA-seq data reveals CD38 expression and distribution differences between Srsf1 fl/fl Cd4-cre and Srsf1 +/+ Cd4-cre mice. j GZMK expression in UMAP plot from scRNA-seq analysis. k The schematic diagram for HCC or B16F10 tumor model combined with PD-1 therapy (Hep1-6 or B16F10 cells: 2 × 10^5) and SRSF1 knockout in CD8 + T cell synergized with PD-1 therapy in tumor models. l Flow cytometry assays revealed a higher increase of CD38 + CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. m Flow cytometry assays indicated a higher increase of CD44 + CD62L low CD8 + T cells in Srsf1 fl/fl Cd4-cre mice compared to Srsf1 +/+ Cd4-cre mice. Data presented as mean ± S.E.M. Statistical significance was determined by log rank test, two-way ANOVA, and two-tailed unpaired t test. ** p < 0.01, *** p < 0.001, **** p < 0.0001, ns indicates no significance

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: Knock-Out, Expressing, Comparison, Flow Cytometry, Two Tailed Test

SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: SRSF1 depletion in CD8 + T cells increased CD38 expression by regulating FOXO1. a Heatmap showed upregulated or downregulated DEGs in Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T groups. b KEGG analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). c – e Gene cluster analysis of CD8 + T cell (Srsf1 +/+ Cd8 T vs Srsf1 –/– Cd8 T). f qPCR analysis of cytotoxic genes between Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T. g Western blot showed PTEN and S6 expression in Srsf1 –/– Cd8+T and Srsf1 +/+ Cd8+T. h The proportion of effector CD8 + T cell in the Srsf1 –/– Cd8+T, Srsf1 +/+ Cd8+T and Srsf1 –/– Cd8+T with rapamycin groups. i The Seahorse assays showed Cd8+T cells depleting Srsf1 could increase glycolytic metabolism and can be rescued by mTOR inhibitor. j Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of PTEN mRNA. k The intersect result between upregulated transcription factors (TF) in SRSF1-KO CD8 + T cells and mTOR pathway related TFs. KO: Knockout. l Foxo1 expression in UMAP plot from scRNA-seq analysis. m Western blot assays showed CD38 and Foxo1 protein levels in Srsf1 +/+ and Srsf1 –/– CD8 + T cells when Foxo1 was silenced. n ChIP assays showed Foxo1 transcriptionally upregulated Cd38. o Western Blot assay showed Srsf1 –/– Cd8+T cells could decrease the expression of Nlk. p Luciferase analysis showed SRSF1-RRM1 was binding to 3ʹUTR of Nlk mRNA. q The study compares the mRNA expression levels of Nlk, Foxo1, and Pten in control versus Srsf1 +/– Cd8+ T cells. Data presented as mean ± S.E.M. A two-tailed unpaired t test was used to assess statistical significance. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: Expressing, Western Blot, Luciferase, Binding Assay, Knock-Out, Control, Two Tailed Test

Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Reducing tumor-intrinsic SRSF1 suppresses glycolysis by downregulating several bZIP transcription factors and c-myc. a KEGG of SRSF1-downregulated genes. b KEGG of SRSF1-regulated AS events. c , d Western Blot and qPCR assays showed SRSF1 regulated glycolytic genes. e , f SRSF1-RIP-seq peaks showed enrichment in the 5ʹ UTR, CDS, and intronic regions. RIP-seq peaks were classified based on their distribution across various genomic elements and analyzed against the genomic background. g The RIP assays showed SRSF1 was binding to c-myc, c-Jun and JunB. PCR ( h ) and Western Blot ( i ) assays showed SRSF1 regulated c-myc, c-Jun and JunB transcription factors. j The schematic diagram of SRSF1 or mutants of SRSF1 proteins. k Western blot analysis of transcription factor expression in SRSF1-sh cells transfected with both endogenous and exogenous SRSF1 using anti-HA. SRSF1 mutants include ΔRRM1 (RRM1 deletion), ΔRRM2 (RRM2 deletion), and ΔRS (RS deletion). All mutants were tagged with HA. l – n SRSF1 could protect c-myc, c-Jun and JunB transcription factors by binding to 3ʹUTR of mRNAs. Data are presented as mean ± S.E.M. and analyzed using one-way ANOVA with a multiple comparison test, where significance is indicated as follows: *** p < 0.001, ** p < 0.01, * p < 0.05

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: Western Blot, Binding Assay, Expressing, Transfection, Comparison

Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: Characterization of the SRSF1 inhibitor TN2008. a The schematic diagram of SRSF1 inhibitor screening. b In vitro proliferative assays screened top SRSF1 inhibitor candidates. c The schematic diagram of SRSF1 inhibitor acting on CD8 + T cells. d Heatmap showed SRSF1 inhibitors increased cytotoxic or memory genes of CD8 + T cells. e Construction of a co-culture system for murine organoids and CD8 + T cells. f Bar plots showed SRSF1 inhibitor TN2008 provided the highest inhibition rate when co-cultured HCC organoids and CD8 + T cells. g , h SRSF1 inhibitor TN2008 inhibited the tumor growth in PDX mice model. i Overview of structural complex of SRSF1 bound with TN2008. j In vitro assessment of IC50 to evaluate TN2008’s inhibitory effect on SRSF1-mediated tumor growth inhibition ( n = 3). k SPR assays showed SRSF1 recombination protein specifically bound with TN2008. l The homology model of the SRSF1 protein is in complexity with TN2008 by molecular dynamic simulation. m Key residues and their energy contributions were determined through MD simulation and MM/PBSA analysis. n Surface plasmon resonance (SPR) analysis demonstrated the interaction between TN2008 and the mutated SRSF1 protein. o qPCR assays showed SRSF1-mutated residues were responsible for glycolytic genes expression in tumor cells. p Western blot analysis demonstrated that TN2008 reduced glycolytic gene expression in tumor cells. q Western blot analysis demonstrated that TN2008 elevated Foxo1 expression in murine CD8 + T cells. r Colony formation assays showed TN2008 significantly inhibited tumor cell growth in vitro. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test and two-way ANOVA. Significance levels are denoted as follows: * for p < 0.05, ** for p < 0.01, *** for p < 0.001, **** for p < 0.0001, and ‘ns’ indicates no significance

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: In Vitro, Co-Culture Assay, Inhibition, Cell Culture, SPR Assay, Expressing, Western Blot, Two Tailed Test

The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Journal: Signal Transduction and Targeted Therapy

Article Title: Targeting SRSF1 improves cancer immunotherapy by dually acting on CD8 + T and tumor cells

doi: 10.1038/s41392-024-02118-2

Figure Lengend Snippet: The SRSF1 inhibitor TN2008 enhances T cell infiltration and functionality and works synergistically with anti-PD-1 therapy. a The inhibitory effect of TN2008 on subcutaneous tumors in ll2rg-/-NOD-Scid mice. b , c TN2008 synthesizes PD-1 blockade in subcutaneous tumor model. d TN2008 could alleviate the function of murine liver from HCC tumor mice model. e Percentage of reduced tumor volume in two different mice groups. f TN2008 synthesizes PD-1 blockade in murine HCC spontaneous model. g liver tumor burden in four different groups. h Kaplan-Meier survival analysis between four different groups. i Liver-to-body weight ratio across various groups of mice. j Percentage of effector CD8 + T cell in four different groups. k Other cell percentage in different four groups. l The ratio of regulatory T cells (Tregs) to effector CD8 + T cells across four groups. m CyTOF analysis was conducted to examine T cells within the tumor microenvironment across three distinct groups. n The percentage of CD38 + CD8 + T cells among different groups. o The percentage of CD69 + CD8 + T cells among different groups. p The expression of SRSF1 in PD-1 responsive or non-responsive HCC cases. q The expression of SRSF1 in melanoma tissues among respond or non-respond cases from public database. r The expression of SRSF1 in basal cell carcinoma among respond or non-respond cases from public database. Data presented as mean ± S.E.M. Statistical significance was assessed using a two-tailed unpaired t test, two-way ANOVA, log-rank test, and Wilcoxon signed-rank test. * p < 0.05, ** p < 0.01, *** p < 0.001, **** p < 0.0001

Article Snippet: Cells overexpressing SRSF1 were used to perform RIP experiments using a SRSF1 antibody (5 mg per reaction) and the Magna RIP RNA-Binding Protein Immunoprecipitation Kit (Millipore) according to the manufacturer’s instructions.

Techniques: Expressing, Two Tailed Test