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mouse anti sheep cd8 fitc labeled antibodies  (Bio-Rad)


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    Bio-Rad mouse anti sheep cd8 fitc labeled antibodies
    Mouse Anti Sheep Cd8 Fitc Labeled Antibodies, supplied by Bio-Rad, used in various techniques. Bioz Stars score: 94/100, based on 28 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/mouse anti sheep cd8 fitc labeled antibodies/product/Bio-Rad
    Average 94 stars, based on 28 article reviews
    mouse anti sheep cd8 fitc labeled antibodies - by Bioz Stars, 2026-06
    94/100 stars

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    (a) Schematic of the KP based on annotated pathways in Metacyc (PWY-6309) and KEGG (hsa00380) databases. (b) Volcano plot representing changes in the expression of KP genes in breast tumors in the NCI dataset (GSE37751) with high (n = 24) vs. low (n = 23) intra-tumoral <t>CD8+</t> TILs based on median CD8+ TIL count. Red circles, upregulated genes; blue circles, downregulated genes. (c) Dot plot showing AADAT mRNA expression in breast tumors from the NCI dataset (GSE37751), divided into two subgroups of low (black, n = 23) and high (green, n = 24) CD8+ TILs divided based on the median number of intra-tumoral CD8+ TILs. Data are presented as mean ± SEM. P-value computed using Student’s t-test. (d) Dot plot showing immunohistochemical staining of AADAT scored by a pathologist in benign breast tissues (n = 23), ductal carcinoma in situ (DCIS, n = 22), invasive ductal carcinoma (IDC, n = 67), and metastatic IDC samples (n = 32) in a human breast cancer TMA (BR2082a, US Biomax). Data are presented as mean ± SEM. P-value was computed using a two-tailed Mann-Whitney test. (e) Box plot showing AADAT mRNA expression in breast tumors from the TCGA dataset across four PAM50 subtypes: Normal-like (n = 113), Luminal (n = 575), HER2-enriched (n =37), and TNBC (n = 115). Data are presented as mean ± SEM. P-value computed using Student’s t-test. (f) Dot plot showing AADAT mRNA expression in breast tumors from the METABRIC Discovery dataset across five PAM50 subtypes: Normal-like (n = 58), Luminal A (n = 466), Luminal B (n = 268), HER2-enriched (n = 87), and Basal-like (n = 118). Data are presented as mean ± SEM. P-values were computed using a two-tailed Mann-Whitney test. (g) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the METABRIC Discovery dataset, stratified based on the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (h) Kaplan-Meier survival curves of disease-specific survival in triple-negative breast cancer (TNBC) patients from the METABRIC Discovery dataset stratified by the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (i) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the SCANB dataset obtained from the ULCAN portal ( https://ualcan.path.uab.edu ). The median expression value of AADAT stratified the samples in the dataset. The log-rank (Mantel-Cox) test was used to determine the P-value. (j) Correlation plot between TIMER T cell score and AADAT mRNA expression in the TCGA breast cancer dataset (n = 112). Pearson correlation coefficient and two-tailed P-value are indicated. Dot plots showing infiltration of CD8+ T cells in TNBC tumors in the Baylor Scott and White dataset with weak (n = 12) or strong (n = 23) AADAT immunohistochemical staining. Data are presented as mean ± SEM. P-values computed using the two-tailed Mann-Whitney U test. (l) Dot plots showing the correlation between CD8+ T cells and low (n = 23) and high (n = 13), expression of AADAT in the spatial TNBC transcriptomics dataset published by Bassiouni etal (GSE210616). Data are presented as mean ± SEM. P-values computed using the student’s t-test.
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    (a) Schematic of the KP based on annotated pathways in Metacyc (PWY-6309) and KEGG (hsa00380) databases. (b) Volcano plot representing changes in the expression of KP genes in breast tumors in the NCI dataset (GSE37751) with high (n = 24) vs. low (n = 23) intra-tumoral <t>CD8+</t> TILs based on median CD8+ TIL count. Red circles, upregulated genes; blue circles, downregulated genes. (c) Dot plot showing AADAT mRNA expression in breast tumors from the NCI dataset (GSE37751), divided into two subgroups of low (black, n = 23) and high (green, n = 24) CD8+ TILs divided based on the median number of intra-tumoral CD8+ TILs. Data are presented as mean ± SEM. P-value computed using Student’s t-test. (d) Dot plot showing immunohistochemical staining of AADAT scored by a pathologist in benign breast tissues (n = 23), ductal carcinoma in situ (DCIS, n = 22), invasive ductal carcinoma (IDC, n = 67), and metastatic IDC samples (n = 32) in a human breast cancer TMA (BR2082a, US Biomax). Data are presented as mean ± SEM. P-value was computed using a two-tailed Mann-Whitney test. (e) Box plot showing AADAT mRNA expression in breast tumors from the TCGA dataset across four PAM50 subtypes: Normal-like (n = 113), Luminal (n = 575), HER2-enriched (n =37), and TNBC (n = 115). Data are presented as mean ± SEM. P-value computed using Student’s t-test. (f) Dot plot showing AADAT mRNA expression in breast tumors from the METABRIC Discovery dataset across five PAM50 subtypes: Normal-like (n = 58), Luminal A (n = 466), Luminal B (n = 268), HER2-enriched (n = 87), and Basal-like (n = 118). Data are presented as mean ± SEM. P-values were computed using a two-tailed Mann-Whitney test. (g) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the METABRIC Discovery dataset, stratified based on the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (h) Kaplan-Meier survival curves of disease-specific survival in triple-negative breast cancer (TNBC) patients from the METABRIC Discovery dataset stratified by the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (i) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the SCANB dataset obtained from the ULCAN portal ( https://ualcan.path.uab.edu ). The median expression value of AADAT stratified the samples in the dataset. The log-rank (Mantel-Cox) test was used to determine the P-value. (j) Correlation plot between TIMER T cell score and AADAT mRNA expression in the TCGA breast cancer dataset (n = 112). Pearson correlation coefficient and two-tailed P-value are indicated. Dot plots showing infiltration of CD8+ T cells in TNBC tumors in the Baylor Scott and White dataset with weak (n = 12) or strong (n = 23) AADAT immunohistochemical staining. Data are presented as mean ± SEM. P-values computed using the two-tailed Mann-Whitney U test. (l) Dot plots showing the correlation between CD8+ T cells and low (n = 23) and high (n = 13), expression of AADAT in the spatial TNBC transcriptomics dataset published by Bassiouni etal (GSE210616). Data are presented as mean ± SEM. P-values computed using the student’s t-test.
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    a Schematic diagram of Sv@PM-M2p-mediated oxidative stress for inducing ferroptosis of HCC cells. b Western blot analysis of SLC7A11, GPX4, and FSP1 expression level in Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of SLC7A11, GPX4, and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of Huh7 cells after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead Huh7 cells in ( d ) ( n = 3 independent experiments). f Colony formation assay of Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. g Quantification of the colony number in ( f ) ( n = 3 independent experiments). h Flow cytometric analysis of Annexin <t>V-FITC/propidium</t> iodide (PI)-stained Huh7 cells after different treatments. i Quantification of the percentage of apoptotic cells in ( h ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. j Transwell migration and invasion assays of Huh7 cells after different treatments (Scale bar = 200 μm). The experiment was repeated three times independently with similar results. k Quantification of the number of migrating and invading cells in ( j ) ( n = 3 independent experiments). l The cell proliferation of Huh7 cells after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. m TEM images of Huh7 cells after different treatments. Mitochondria are shown by red arrows. The experiment was repeated three times independently with similar results. n Fluorescence images of JC-1-stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. o Flow cytometric analysis of DCFH-DA-stained Huh7 cells after different treatments. p Quantification of the percentage of ROS positive cells in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The MDA assay of Huh7 cells after different treatments ( n = 3 independent experiments). r The GSH assay of Huh7 cells after different treatments ( n = 3 independent experiments). s Fluorescence images of C11 BODIPY 581/591 -stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , i , k , l , p – r ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 4a were created by Adobe Illustrator.
    Fitc Anti Human Cd8, supplied by Elabscience Biotechnology, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Miltenyi Biotec anti human cd8 fitc
    a Schematic diagram of Sv@PM-M2p-mediated oxidative stress for inducing ferroptosis of HCC cells. b Western blot analysis of SLC7A11, GPX4, and FSP1 expression level in Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of SLC7A11, GPX4, and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of Huh7 cells after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead Huh7 cells in ( d ) ( n = 3 independent experiments). f Colony formation assay of Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. g Quantification of the colony number in ( f ) ( n = 3 independent experiments). h Flow cytometric analysis of Annexin <t>V-FITC/propidium</t> iodide (PI)-stained Huh7 cells after different treatments. i Quantification of the percentage of apoptotic cells in ( h ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. j Transwell migration and invasion assays of Huh7 cells after different treatments (Scale bar = 200 μm). The experiment was repeated three times independently with similar results. k Quantification of the number of migrating and invading cells in ( j ) ( n = 3 independent experiments). l The cell proliferation of Huh7 cells after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. m TEM images of Huh7 cells after different treatments. Mitochondria are shown by red arrows. The experiment was repeated three times independently with similar results. n Fluorescence images of JC-1-stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. o Flow cytometric analysis of DCFH-DA-stained Huh7 cells after different treatments. p Quantification of the percentage of ROS positive cells in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The MDA assay of Huh7 cells after different treatments ( n = 3 independent experiments). r The GSH assay of Huh7 cells after different treatments ( n = 3 independent experiments). s Fluorescence images of C11 BODIPY 581/591 -stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , i , k , l , p – r ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 4a were created by Adobe Illustrator.
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    (a) Schematic of the KP based on annotated pathways in Metacyc (PWY-6309) and KEGG (hsa00380) databases. (b) Volcano plot representing changes in the expression of KP genes in breast tumors in the NCI dataset (GSE37751) with high (n = 24) vs. low (n = 23) intra-tumoral CD8+ TILs based on median CD8+ TIL count. Red circles, upregulated genes; blue circles, downregulated genes. (c) Dot plot showing AADAT mRNA expression in breast tumors from the NCI dataset (GSE37751), divided into two subgroups of low (black, n = 23) and high (green, n = 24) CD8+ TILs divided based on the median number of intra-tumoral CD8+ TILs. Data are presented as mean ± SEM. P-value computed using Student’s t-test. (d) Dot plot showing immunohistochemical staining of AADAT scored by a pathologist in benign breast tissues (n = 23), ductal carcinoma in situ (DCIS, n = 22), invasive ductal carcinoma (IDC, n = 67), and metastatic IDC samples (n = 32) in a human breast cancer TMA (BR2082a, US Biomax). Data are presented as mean ± SEM. P-value was computed using a two-tailed Mann-Whitney test. (e) Box plot showing AADAT mRNA expression in breast tumors from the TCGA dataset across four PAM50 subtypes: Normal-like (n = 113), Luminal (n = 575), HER2-enriched (n =37), and TNBC (n = 115). Data are presented as mean ± SEM. P-value computed using Student’s t-test. (f) Dot plot showing AADAT mRNA expression in breast tumors from the METABRIC Discovery dataset across five PAM50 subtypes: Normal-like (n = 58), Luminal A (n = 466), Luminal B (n = 268), HER2-enriched (n = 87), and Basal-like (n = 118). Data are presented as mean ± SEM. P-values were computed using a two-tailed Mann-Whitney test. (g) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the METABRIC Discovery dataset, stratified based on the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (h) Kaplan-Meier survival curves of disease-specific survival in triple-negative breast cancer (TNBC) patients from the METABRIC Discovery dataset stratified by the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (i) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the SCANB dataset obtained from the ULCAN portal ( https://ualcan.path.uab.edu ). The median expression value of AADAT stratified the samples in the dataset. The log-rank (Mantel-Cox) test was used to determine the P-value. (j) Correlation plot between TIMER T cell score and AADAT mRNA expression in the TCGA breast cancer dataset (n = 112). Pearson correlation coefficient and two-tailed P-value are indicated. Dot plots showing infiltration of CD8+ T cells in TNBC tumors in the Baylor Scott and White dataset with weak (n = 12) or strong (n = 23) AADAT immunohistochemical staining. Data are presented as mean ± SEM. P-values computed using the two-tailed Mann-Whitney U test. (l) Dot plots showing the correlation between CD8+ T cells and low (n = 23) and high (n = 13), expression of AADAT in the spatial TNBC transcriptomics dataset published by Bassiouni etal (GSE210616). Data are presented as mean ± SEM. P-values computed using the student’s t-test.

    Journal: bioRxiv

    Article Title: AADAT-Driven Metabolic Control of Malate and CoQ 10 Shapes Immune Evasion in Triple-Negative Breast Cancer

    doi: 10.64898/2026.01.28.702389

    Figure Lengend Snippet: (a) Schematic of the KP based on annotated pathways in Metacyc (PWY-6309) and KEGG (hsa00380) databases. (b) Volcano plot representing changes in the expression of KP genes in breast tumors in the NCI dataset (GSE37751) with high (n = 24) vs. low (n = 23) intra-tumoral CD8+ TILs based on median CD8+ TIL count. Red circles, upregulated genes; blue circles, downregulated genes. (c) Dot plot showing AADAT mRNA expression in breast tumors from the NCI dataset (GSE37751), divided into two subgroups of low (black, n = 23) and high (green, n = 24) CD8+ TILs divided based on the median number of intra-tumoral CD8+ TILs. Data are presented as mean ± SEM. P-value computed using Student’s t-test. (d) Dot plot showing immunohistochemical staining of AADAT scored by a pathologist in benign breast tissues (n = 23), ductal carcinoma in situ (DCIS, n = 22), invasive ductal carcinoma (IDC, n = 67), and metastatic IDC samples (n = 32) in a human breast cancer TMA (BR2082a, US Biomax). Data are presented as mean ± SEM. P-value was computed using a two-tailed Mann-Whitney test. (e) Box plot showing AADAT mRNA expression in breast tumors from the TCGA dataset across four PAM50 subtypes: Normal-like (n = 113), Luminal (n = 575), HER2-enriched (n =37), and TNBC (n = 115). Data are presented as mean ± SEM. P-value computed using Student’s t-test. (f) Dot plot showing AADAT mRNA expression in breast tumors from the METABRIC Discovery dataset across five PAM50 subtypes: Normal-like (n = 58), Luminal A (n = 466), Luminal B (n = 268), HER2-enriched (n = 87), and Basal-like (n = 118). Data are presented as mean ± SEM. P-values were computed using a two-tailed Mann-Whitney test. (g) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the METABRIC Discovery dataset, stratified based on the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (h) Kaplan-Meier survival curves of disease-specific survival in triple-negative breast cancer (TNBC) patients from the METABRIC Discovery dataset stratified by the median expression value of AADAT . The log-rank (Mantel-Cox) test was used to determine the P-value. (i) Kaplan-Meier survival curves of disease-specific survival in breast cancer patients from the SCANB dataset obtained from the ULCAN portal ( https://ualcan.path.uab.edu ). The median expression value of AADAT stratified the samples in the dataset. The log-rank (Mantel-Cox) test was used to determine the P-value. (j) Correlation plot between TIMER T cell score and AADAT mRNA expression in the TCGA breast cancer dataset (n = 112). Pearson correlation coefficient and two-tailed P-value are indicated. Dot plots showing infiltration of CD8+ T cells in TNBC tumors in the Baylor Scott and White dataset with weak (n = 12) or strong (n = 23) AADAT immunohistochemical staining. Data are presented as mean ± SEM. P-values computed using the two-tailed Mann-Whitney U test. (l) Dot plots showing the correlation between CD8+ T cells and low (n = 23) and high (n = 13), expression of AADAT in the spatial TNBC transcriptomics dataset published by Bassiouni etal (GSE210616). Data are presented as mean ± SEM. P-values computed using the student’s t-test.

    Article Snippet: After 24 hours of co-culture and treatment (where applicable), the entire well of co-cultured cells was harvested for flow cytometry analysis to assess tumor cell survival and T cell populations by staining with 1:200 dilutions of CD45 (Biolegend, Cat #103155), CD8 (Cytek, Cat # 35-0081-U500), and CD3e antibodies (Biolegend, Cat # 155703).

    Techniques: Expressing, Immunohistochemical staining, Staining, In Situ, Two Tailed Test, MANN-WHITNEY

    (a) RT-qPCR analysis for AADAT in E0771 and 4T1 cells stably transduced with control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat), and an Aadat re-expression construct, each n=3 biological replicates. P-value computed using Student’s t-test. (b) Tumor growth analysis of wild-type C57BL/6J mice orthotopically implanted with the syngeneic E0771 cell lines described in panel a. P-values were calculated using multiple unpaired Student’s t-test. The indicated P-values are for the final study time point, i.e., Day 24. The n values are also indicated. (c) Tumor growth analysis of wild-type BALB/cJ mice orthotopically implanted with the syngeneic 4T1 cell lines stably transduced with either control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat), and an Aadat re-expression, as described in panel a. P-values were calculated using multiple unpaired Student’s t-test. The indicated P-values are from the last study time point, i.e., Day 14. n values are shown. (d) Tumor growth analysis of C57BL/6J mice with CD8 knockout (CD8KO), orthotopically implanted with the syngeneic E0771 cell line (panel a). P-values were calculated using multiple unpaired Student’s t-tests. The indicated P values are from the final study time point, i.e., Day 19. (e) Tumor growth analysis of BALB/cJ mice with CD8 knockout (CD8KO), orthotopically implanted with the syngeneic E0771 cell line (panel a). P-values were calculated using multiple unpaired Student’s t-tests. The indicated P values are from the last study time point, i.e., Day 16. (f) RT-qPCR analysis for AADAT in E0771 cells containing doxycycline-inducible Aadat-specific shRNAs (iKD1) compared to uninduced control (control). The average of three biological replicates is shown. P-value computed using an unpaired two-tailed Student’s t-test. (g) Left panel: Representative H&E images of lung sections from wild-type C57BL/6J mice four weeks following resection of size-matched E0771 tumors expressing doxycycline-induced Aadat-specific shRNA (iKD1, n = 6, per treatment group). The primary tumors were resected at 300 mm 3 followed by induction of AADAT KD for 28 days using Doxycycline and quantification of lung metastases. Scale bar: 1 mm. Right Panel: Metastatic nodules were visually quantified in lung sections in Control and iKD1 mice. P-values computed using an unpaired two-tailed Student’s t-test.

    Journal: bioRxiv

    Article Title: AADAT-Driven Metabolic Control of Malate and CoQ 10 Shapes Immune Evasion in Triple-Negative Breast Cancer

    doi: 10.64898/2026.01.28.702389

    Figure Lengend Snippet: (a) RT-qPCR analysis for AADAT in E0771 and 4T1 cells stably transduced with control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat), and an Aadat re-expression construct, each n=3 biological replicates. P-value computed using Student’s t-test. (b) Tumor growth analysis of wild-type C57BL/6J mice orthotopically implanted with the syngeneic E0771 cell lines described in panel a. P-values were calculated using multiple unpaired Student’s t-test. The indicated P-values are for the final study time point, i.e., Day 24. The n values are also indicated. (c) Tumor growth analysis of wild-type BALB/cJ mice orthotopically implanted with the syngeneic 4T1 cell lines stably transduced with either control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat), and an Aadat re-expression, as described in panel a. P-values were calculated using multiple unpaired Student’s t-test. The indicated P-values are from the last study time point, i.e., Day 14. n values are shown. (d) Tumor growth analysis of C57BL/6J mice with CD8 knockout (CD8KO), orthotopically implanted with the syngeneic E0771 cell line (panel a). P-values were calculated using multiple unpaired Student’s t-tests. The indicated P values are from the final study time point, i.e., Day 19. (e) Tumor growth analysis of BALB/cJ mice with CD8 knockout (CD8KO), orthotopically implanted with the syngeneic E0771 cell line (panel a). P-values were calculated using multiple unpaired Student’s t-tests. The indicated P values are from the last study time point, i.e., Day 16. (f) RT-qPCR analysis for AADAT in E0771 cells containing doxycycline-inducible Aadat-specific shRNAs (iKD1) compared to uninduced control (control). The average of three biological replicates is shown. P-value computed using an unpaired two-tailed Student’s t-test. (g) Left panel: Representative H&E images of lung sections from wild-type C57BL/6J mice four weeks following resection of size-matched E0771 tumors expressing doxycycline-induced Aadat-specific shRNA (iKD1, n = 6, per treatment group). The primary tumors were resected at 300 mm 3 followed by induction of AADAT KD for 28 days using Doxycycline and quantification of lung metastases. Scale bar: 1 mm. Right Panel: Metastatic nodules were visually quantified in lung sections in Control and iKD1 mice. P-values computed using an unpaired two-tailed Student’s t-test.

    Article Snippet: After 24 hours of co-culture and treatment (where applicable), the entire well of co-cultured cells was harvested for flow cytometry analysis to assess tumor cell survival and T cell populations by staining with 1:200 dilutions of CD45 (Biolegend, Cat #103155), CD8 (Cytek, Cat # 35-0081-U500), and CD3e antibodies (Biolegend, Cat # 155703).

    Techniques: Quantitative RT-PCR, Stable Transfection, Transduction, Control, shRNA, Expressing, Construct, Knock-Out, Two Tailed Test

    (a) Analysis of clinical and transcriptomic data (GSE91061) from melanoma patients treated with immunotherapy, divided into groups with high (n = 27) or low (n = 82) expression of AADAT , revealed increased response rates (pCR + SD) in the low AADAT group (58%) vs the high AADAT group (33%). Correlation is computed by performing the Spearman correlation test, and the corresponding R and two-tailed P value are indicated. (b) Tumor growth analysis of E0771 cells expressing doxycycline-inducible Aadat-specific shRNA (iKD1) orthotopically implanted into syngeneic wild-type C57BL/6J mice. The mice were treated with one of four regimens: 1) vehicle + IgG (control), 2) doxycycline + IgG (genetic KD of AADAT ), 3) vehicle + ICB (immune checkpoint blockade therapy), and 4) doxycycline + ICB ( AADAT KD + immune checkpoint blockade therapy). Multiple unpaired Student’s t-tests determined the P-value. The indicated P values are from the final study time point, i.e., Day 33. n values are shown. (c) Tumor growth analysis of 4T1 cells expressing doxycycline-inducible Aadat-specific shRNA, orthotopically implanted into syngeneic wild-type BALB/cJ mice. The mice were treated with either four regimens: 1) vehicle + IgG (control), 2) doxycycline + IgG (genetic KD of AADAT ), 3) vehicle + ICB (immune checkpoint blockade therapy), and 4) doxycycline + ICB ( AADAT KD + immune checkpoint blockade therapy). Multiple unpaired Student’s t-tests determined the P-values. The indicated P-values are from the last study time point, i.e., Day 21. The n values are shown. (d) Representative orthotopic 4T1 tumors resected 21 days after implantation from the experiment shown in panel c. Scale bar: 1 cm. (e) Violin plot illustrating the spatial co-localization and higher interaction of CD8+ T cells and tumor cells in the AADAT iKD and control tumors shown in panels c and d. CD8+ T cells and tumor cells were identified through imaging mass cytometry analysis of paraffin-embedded 4T1 tumors (Control; n=5 mice, 16 regions of interest or ROIs; AADAT - iKD1 n=4 mice, 10 ROIs) from the experiment described in panel c. Interactions are represented in Z-scores obtained from Giotto and the significance was calculated using a two-tailed t-test.

    Journal: bioRxiv

    Article Title: AADAT-Driven Metabolic Control of Malate and CoQ 10 Shapes Immune Evasion in Triple-Negative Breast Cancer

    doi: 10.64898/2026.01.28.702389

    Figure Lengend Snippet: (a) Analysis of clinical and transcriptomic data (GSE91061) from melanoma patients treated with immunotherapy, divided into groups with high (n = 27) or low (n = 82) expression of AADAT , revealed increased response rates (pCR + SD) in the low AADAT group (58%) vs the high AADAT group (33%). Correlation is computed by performing the Spearman correlation test, and the corresponding R and two-tailed P value are indicated. (b) Tumor growth analysis of E0771 cells expressing doxycycline-inducible Aadat-specific shRNA (iKD1) orthotopically implanted into syngeneic wild-type C57BL/6J mice. The mice were treated with one of four regimens: 1) vehicle + IgG (control), 2) doxycycline + IgG (genetic KD of AADAT ), 3) vehicle + ICB (immune checkpoint blockade therapy), and 4) doxycycline + ICB ( AADAT KD + immune checkpoint blockade therapy). Multiple unpaired Student’s t-tests determined the P-value. The indicated P values are from the final study time point, i.e., Day 33. n values are shown. (c) Tumor growth analysis of 4T1 cells expressing doxycycline-inducible Aadat-specific shRNA, orthotopically implanted into syngeneic wild-type BALB/cJ mice. The mice were treated with either four regimens: 1) vehicle + IgG (control), 2) doxycycline + IgG (genetic KD of AADAT ), 3) vehicle + ICB (immune checkpoint blockade therapy), and 4) doxycycline + ICB ( AADAT KD + immune checkpoint blockade therapy). Multiple unpaired Student’s t-tests determined the P-values. The indicated P-values are from the last study time point, i.e., Day 21. The n values are shown. (d) Representative orthotopic 4T1 tumors resected 21 days after implantation from the experiment shown in panel c. Scale bar: 1 cm. (e) Violin plot illustrating the spatial co-localization and higher interaction of CD8+ T cells and tumor cells in the AADAT iKD and control tumors shown in panels c and d. CD8+ T cells and tumor cells were identified through imaging mass cytometry analysis of paraffin-embedded 4T1 tumors (Control; n=5 mice, 16 regions of interest or ROIs; AADAT - iKD1 n=4 mice, 10 ROIs) from the experiment described in panel c. Interactions are represented in Z-scores obtained from Giotto and the significance was calculated using a two-tailed t-test.

    Article Snippet: After 24 hours of co-culture and treatment (where applicable), the entire well of co-cultured cells was harvested for flow cytometry analysis to assess tumor cell survival and T cell populations by staining with 1:200 dilutions of CD45 (Biolegend, Cat #103155), CD8 (Cytek, Cat # 35-0081-U500), and CD3e antibodies (Biolegend, Cat # 155703).

    Techniques: Expressing, Two Tailed Test, shRNA, Control, Imaging, Mass Cytometry

    (a) Heatmap of significantly altered metabolites (P<0.05, FDR <0.25) from an unbiased metabolomics analysis of conditioned media (CM) from E0771-ova+ TNBC cells with doxycycline-induced KD of AADAT (AADAT-iKD2) or uninduced control (Control-iKD2, n=3 biological replicates, each with three technical replicates). Shades of red and green indicate metabolites that are significantly elevated or depleted, respectively (see color scale). Metabolites belonging to the tricarboxylic acid cycle are marked with a red asterisk. CoQ 10 precursors are marked with a blue double asterisk. (b) Representative photomicrographs of a region of interest in a patient’s TNBC tumor show similar spatial clustering patterns for the CD8+ functional T cell cluster and (c) Malate, but not for (d) Fumaric acid, Phenylalanine, Leucine, Citruline, and Methylhistidine, all of which were elevated in the CM of E0771-OVA+ cells containing AADAT-KD (see ). Spatial profiles of metabolites and CD8+ functional T cells were derived from 31 TNBC tumors using two consecutive 5-micron sections of a Tissue Microarray, integrating data from imaging mass spectrometry (about 20-cell resolution) and imaging mass cytometry (single-cell resolution). Each dot represents a pixel indicating the levels (see scale bars) of metabolites or of a CD8+ functional T cell cluster. (e) Plot showing a positive correlation between average levels of functional T-cell clusters and malate. A total of 5245 aligned IMS-IMC spots from 31 TNBC patient samples were examined to explore the relationship between functional T-cells and malate levels at each location. For data visualization, spots were categorized into 10-percentile bins, and the mean values of both functional T cells and malate within each bin were plotted. A Pearson correlation coefficient was calculated, along with the P-value, using a one-tailed Student’s t-test. Results showed a significant positive correlation between functional T cells and malate across the binned spots in the TNBC tumors. (f) Same as in (e) but demonstrating a negative correlation between exhausted T cells and malate. (g) The average pixel intensity of malate, measured by imaging mass spectrometry (IMS), was assessed in each tissue core of the TNBC tissue microarray, and patients were stratified into high (n=13) and low (n=18) malate groups based on the median. An inset shows representative cores with high and low malate levels. The P-value was determined using a two-tailed unpaired Student’s t-test. (h) Kaplan-Meier plot illustrating disease-specific survival among TNBC patients, divided by median spatial malate levels. The P-value was determined using the log-rank (Mantel-Cox) test. The count of patients in each group is shown. (i) Dot plot showing Z-score normalized malate levels in conditioned media of E0771-ova+ and 4T1 cells, with two independent doxycycline-induced AADAT knockdowns (AADAT-iKD1 and AADAT-iKD2) compared to their uninduced controls (Control-iKD1 and Control-iKD2). Each group (iKD1 and iKD2) includes three biological replicates, each with three technical replicates. P values comparing induced KD to uninduced control within each group were calculated using an unpaired two-tailed Student’s t-test. The overall P value was obtained by combining the two group P values with Fisher’s method. (j) Similar to panel i, but in 4T1 cells stably transduced with either control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat-2), or an Aadat re-expression construct (shAADAT-2+AADAT), each with three biological replicates. P values were determined using an unpaired two-tailed Student’s t-test.

    Journal: bioRxiv

    Article Title: AADAT-Driven Metabolic Control of Malate and CoQ 10 Shapes Immune Evasion in Triple-Negative Breast Cancer

    doi: 10.64898/2026.01.28.702389

    Figure Lengend Snippet: (a) Heatmap of significantly altered metabolites (P<0.05, FDR <0.25) from an unbiased metabolomics analysis of conditioned media (CM) from E0771-ova+ TNBC cells with doxycycline-induced KD of AADAT (AADAT-iKD2) or uninduced control (Control-iKD2, n=3 biological replicates, each with three technical replicates). Shades of red and green indicate metabolites that are significantly elevated or depleted, respectively (see color scale). Metabolites belonging to the tricarboxylic acid cycle are marked with a red asterisk. CoQ 10 precursors are marked with a blue double asterisk. (b) Representative photomicrographs of a region of interest in a patient’s TNBC tumor show similar spatial clustering patterns for the CD8+ functional T cell cluster and (c) Malate, but not for (d) Fumaric acid, Phenylalanine, Leucine, Citruline, and Methylhistidine, all of which were elevated in the CM of E0771-OVA+ cells containing AADAT-KD (see ). Spatial profiles of metabolites and CD8+ functional T cells were derived from 31 TNBC tumors using two consecutive 5-micron sections of a Tissue Microarray, integrating data from imaging mass spectrometry (about 20-cell resolution) and imaging mass cytometry (single-cell resolution). Each dot represents a pixel indicating the levels (see scale bars) of metabolites or of a CD8+ functional T cell cluster. (e) Plot showing a positive correlation between average levels of functional T-cell clusters and malate. A total of 5245 aligned IMS-IMC spots from 31 TNBC patient samples were examined to explore the relationship between functional T-cells and malate levels at each location. For data visualization, spots were categorized into 10-percentile bins, and the mean values of both functional T cells and malate within each bin were plotted. A Pearson correlation coefficient was calculated, along with the P-value, using a one-tailed Student’s t-test. Results showed a significant positive correlation between functional T cells and malate across the binned spots in the TNBC tumors. (f) Same as in (e) but demonstrating a negative correlation between exhausted T cells and malate. (g) The average pixel intensity of malate, measured by imaging mass spectrometry (IMS), was assessed in each tissue core of the TNBC tissue microarray, and patients were stratified into high (n=13) and low (n=18) malate groups based on the median. An inset shows representative cores with high and low malate levels. The P-value was determined using a two-tailed unpaired Student’s t-test. (h) Kaplan-Meier plot illustrating disease-specific survival among TNBC patients, divided by median spatial malate levels. The P-value was determined using the log-rank (Mantel-Cox) test. The count of patients in each group is shown. (i) Dot plot showing Z-score normalized malate levels in conditioned media of E0771-ova+ and 4T1 cells, with two independent doxycycline-induced AADAT knockdowns (AADAT-iKD1 and AADAT-iKD2) compared to their uninduced controls (Control-iKD1 and Control-iKD2). Each group (iKD1 and iKD2) includes three biological replicates, each with three technical replicates. P values comparing induced KD to uninduced control within each group were calculated using an unpaired two-tailed Student’s t-test. The overall P value was obtained by combining the two group P values with Fisher’s method. (j) Similar to panel i, but in 4T1 cells stably transduced with either control non-targeted shRNA (shNT), Aadat-specific shRNAs (shAadat-2), or an Aadat re-expression construct (shAADAT-2+AADAT), each with three biological replicates. P values were determined using an unpaired two-tailed Student’s t-test.

    Article Snippet: After 24 hours of co-culture and treatment (where applicable), the entire well of co-cultured cells was harvested for flow cytometry analysis to assess tumor cell survival and T cell populations by staining with 1:200 dilutions of CD45 (Biolegend, Cat #103155), CD8 (Cytek, Cat # 35-0081-U500), and CD3e antibodies (Biolegend, Cat # 155703).

    Techniques: Control, Functional Assay, Derivative Assay, Microarray, Imaging, Mass Spectrometry, Mass Cytometry, One-tailed Test, Two Tailed Test, Stable Transfection, Transduction, shRNA, Expressing, Construct

    (a) Schematic of the co-culture showing CD8+ T cells from OT1-mice with E0771-ova+ cells that have an induced AADAT KD or uninduced controls. The uninduced controls are either treated with or without 2.5 mM malate. (b) The dot plot shows the percentage of surviving E0771-ova+ cells under conditions of induced AADAT KD or uninduced controls in a co-culture with CD8+ T cells derived from OT1-mice. The controls were either treated with or without 2.5 mM malate. Two independent inducible AADAT knockdowns (AADAT-iKD1 and AADAT-iKD2) are compared to their respective uninduced controls (Control-iKD1 and Control-iKD2). n=3 biological replicates, each with three technical replicates, were analyzed per condition. The P-value was calculated using a two-tailed unpaired Student’s t-test. (c) Volcano plot displaying differentially expressed genes (FDR<0.1, fold change ≥ 2) in CD8+ T cells from the co-culture with E0771-ova+-iKD1 cells (see panel b) and induced AADAT KD (yellow) or E0771-ova uninduced cells treated with 2.5 mM malate (red), compared to uninduced and untreated controls. Inflammatory genes are labeled. (d) Bar plot showing the results of hallmark pathways enriched by gene set enrichment analysis (GSEA, FDR<0.1) of differentially expressed genes in malate vs untreated CD8+ T cells, presented in panel b, red dots. (d) Bar plot showing common (e) Dot plot illustrating flow cytometry-derived intracellular expression of TNF-α in CD8+ T cells, treated with or without 2.5 mM malate. n=3 biological replicates, each with three technical replicates were analyzed for each condition. P-values were calculated using a two-tailed Wilcoxon matched-pairs signed rank test. (f) Same as in panel e, but for Interferon-γ. n=3 biological replicates, each with five technical replicates, were analyzed for each condition. P-values were calculated using two-tailed Wilcoxon matched-pairs signed rank test. (g) Heat map illustrating changes in mitochondrial metabolites (FDR<0.25, ≥ 1.5-fold) in CD8+ T cells treated with or without 2.5 mM malate. Three biological replicates, each with two technical replicates, were analyzed. Shades of yellow and blue indicate increased or decreased metabolite levels (see color scale). C1-C3: Control; M1-M3: Malate-treated. (h) NAD: NADH ratio in CD8+ T cells treated with or without 2.5 mM malate. Ten biological replicates were analyzed. P-values were calculated using a two-tailed unpaired Student’s t-test. (i) Reactive oxygen species (ROS) analysis with CD8+ T-cells divided into four groups: Pyocyanin (positive control) treated, N-acetylcysteine (negative control) treated, Untreated, and 2.5 mM Malate treated. n=3 biological replicates, each with five technical replicates were analyzed for each condition. P-values were calculated using two-tailed Wilcoxon matched-pairs signed rank test.

    Journal: bioRxiv

    Article Title: AADAT-Driven Metabolic Control of Malate and CoQ 10 Shapes Immune Evasion in Triple-Negative Breast Cancer

    doi: 10.64898/2026.01.28.702389

    Figure Lengend Snippet: (a) Schematic of the co-culture showing CD8+ T cells from OT1-mice with E0771-ova+ cells that have an induced AADAT KD or uninduced controls. The uninduced controls are either treated with or without 2.5 mM malate. (b) The dot plot shows the percentage of surviving E0771-ova+ cells under conditions of induced AADAT KD or uninduced controls in a co-culture with CD8+ T cells derived from OT1-mice. The controls were either treated with or without 2.5 mM malate. Two independent inducible AADAT knockdowns (AADAT-iKD1 and AADAT-iKD2) are compared to their respective uninduced controls (Control-iKD1 and Control-iKD2). n=3 biological replicates, each with three technical replicates, were analyzed per condition. The P-value was calculated using a two-tailed unpaired Student’s t-test. (c) Volcano plot displaying differentially expressed genes (FDR<0.1, fold change ≥ 2) in CD8+ T cells from the co-culture with E0771-ova+-iKD1 cells (see panel b) and induced AADAT KD (yellow) or E0771-ova uninduced cells treated with 2.5 mM malate (red), compared to uninduced and untreated controls. Inflammatory genes are labeled. (d) Bar plot showing the results of hallmark pathways enriched by gene set enrichment analysis (GSEA, FDR<0.1) of differentially expressed genes in malate vs untreated CD8+ T cells, presented in panel b, red dots. (d) Bar plot showing common (e) Dot plot illustrating flow cytometry-derived intracellular expression of TNF-α in CD8+ T cells, treated with or without 2.5 mM malate. n=3 biological replicates, each with three technical replicates were analyzed for each condition. P-values were calculated using a two-tailed Wilcoxon matched-pairs signed rank test. (f) Same as in panel e, but for Interferon-γ. n=3 biological replicates, each with five technical replicates, were analyzed for each condition. P-values were calculated using two-tailed Wilcoxon matched-pairs signed rank test. (g) Heat map illustrating changes in mitochondrial metabolites (FDR<0.25, ≥ 1.5-fold) in CD8+ T cells treated with or without 2.5 mM malate. Three biological replicates, each with two technical replicates, were analyzed. Shades of yellow and blue indicate increased or decreased metabolite levels (see color scale). C1-C3: Control; M1-M3: Malate-treated. (h) NAD: NADH ratio in CD8+ T cells treated with or without 2.5 mM malate. Ten biological replicates were analyzed. P-values were calculated using a two-tailed unpaired Student’s t-test. (i) Reactive oxygen species (ROS) analysis with CD8+ T-cells divided into four groups: Pyocyanin (positive control) treated, N-acetylcysteine (negative control) treated, Untreated, and 2.5 mM Malate treated. n=3 biological replicates, each with five technical replicates were analyzed for each condition. P-values were calculated using two-tailed Wilcoxon matched-pairs signed rank test.

    Article Snippet: After 24 hours of co-culture and treatment (where applicable), the entire well of co-cultured cells was harvested for flow cytometry analysis to assess tumor cell survival and T cell populations by staining with 1:200 dilutions of CD45 (Biolegend, Cat #103155), CD8 (Cytek, Cat # 35-0081-U500), and CD3e antibodies (Biolegend, Cat # 155703).

    Techniques: Co-Culture Assay, Derivative Assay, Control, Two Tailed Test, Labeling, Flow Cytometry, Expressing, Positive Control, Negative Control

    a Schematic diagram of Sv@PM-M2p-mediated oxidative stress for inducing ferroptosis of HCC cells. b Western blot analysis of SLC7A11, GPX4, and FSP1 expression level in Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of SLC7A11, GPX4, and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of Huh7 cells after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead Huh7 cells in ( d ) ( n = 3 independent experiments). f Colony formation assay of Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. g Quantification of the colony number in ( f ) ( n = 3 independent experiments). h Flow cytometric analysis of Annexin V-FITC/propidium iodide (PI)-stained Huh7 cells after different treatments. i Quantification of the percentage of apoptotic cells in ( h ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. j Transwell migration and invasion assays of Huh7 cells after different treatments (Scale bar = 200 μm). The experiment was repeated three times independently with similar results. k Quantification of the number of migrating and invading cells in ( j ) ( n = 3 independent experiments). l The cell proliferation of Huh7 cells after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. m TEM images of Huh7 cells after different treatments. Mitochondria are shown by red arrows. The experiment was repeated three times independently with similar results. n Fluorescence images of JC-1-stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. o Flow cytometric analysis of DCFH-DA-stained Huh7 cells after different treatments. p Quantification of the percentage of ROS positive cells in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The MDA assay of Huh7 cells after different treatments ( n = 3 independent experiments). r The GSH assay of Huh7 cells after different treatments ( n = 3 independent experiments). s Fluorescence images of C11 BODIPY 581/591 -stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , i , k , l , p – r ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 4a were created by Adobe Illustrator.

    Journal: Nature Communications

    Article Title: Co-delivery of sorafenib and an FSP1 inhibitor triggers dual ferroptosis in tumor cells and immunosuppressive macrophages for enhanced immunotherapy in mouse models of hepatocellular carcinoma

    doi: 10.1038/s41467-025-65056-9

    Figure Lengend Snippet: a Schematic diagram of Sv@PM-M2p-mediated oxidative stress for inducing ferroptosis of HCC cells. b Western blot analysis of SLC7A11, GPX4, and FSP1 expression level in Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of SLC7A11, GPX4, and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of Huh7 cells after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead Huh7 cells in ( d ) ( n = 3 independent experiments). f Colony formation assay of Huh7 cells after different treatments. The experiment was repeated three times independently with similar results. g Quantification of the colony number in ( f ) ( n = 3 independent experiments). h Flow cytometric analysis of Annexin V-FITC/propidium iodide (PI)-stained Huh7 cells after different treatments. i Quantification of the percentage of apoptotic cells in ( h ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. j Transwell migration and invasion assays of Huh7 cells after different treatments (Scale bar = 200 μm). The experiment was repeated three times independently with similar results. k Quantification of the number of migrating and invading cells in ( j ) ( n = 3 independent experiments). l The cell proliferation of Huh7 cells after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. m TEM images of Huh7 cells after different treatments. Mitochondria are shown by red arrows. The experiment was repeated three times independently with similar results. n Fluorescence images of JC-1-stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. o Flow cytometric analysis of DCFH-DA-stained Huh7 cells after different treatments. p Quantification of the percentage of ROS positive cells in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The MDA assay of Huh7 cells after different treatments ( n = 3 independent experiments). r The GSH assay of Huh7 cells after different treatments ( n = 3 independent experiments). s Fluorescence images of C11 BODIPY 581/591 -stained Huh7 cells after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , i , k , l , p – r ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 4a were created by Adobe Illustrator.

    Article Snippet: PerCP/Cyanine5.5 anti-mouse F4/80 (1:200, #E-AB-F0995J), APC anti-mouse CD206 (1:200, #E-AB-F1135E), PE/Cyanine7 anti-mouse CD86 (1:200, #E-AB-F0994H), Fluor Red 780 anti-mouse CD80 (1:200, #E-AB-F0992S), APC anti-mouse CD11c (1:200, #E-AB-F0991E), Fluor Violet 450 anti-mouse CD3 (1:200, #E-AB-F1013Q), Fluor Red 780 anti-mouse CD4 (1:200, #E-AB-F1097S), PerCP/Cyanine5.5 anti-mouse CD8 (1:200, #E-AB-F1104J), FITC anti-human/mouse CD44 (1:200, #E-AB-F1100C), PE anti-mouse Foxp3 (1:200, #E-AB-F1238D), FITC anti-mouse MHC II (1:200, #E-AB-F0990C), APC anti-mouse CD62L (1:200, #E-AB-F1011E), APC anti-mouse PD-L1 (1:200, #E-AB-F1132E), PerCP anti-human CD45 (1:200, #E-AB-F1137F), Fluor647 anti-human CD68 (1:200, #E-AB-F1299M), FITC anti-human CD206 (1:200, #E-AB-F1161C), PE anti-human CD80 (1:200, #E-AB-F1232D), APC anti-human HLA-DR (1:200, #E-AB-F1111E), PE anti-human CD11c (1:200, #E-AB-F1118D), APC anti-human CD3 (1:200, #E-AB-F1001E), and FITC anti-human CD8 (1:200, #E-AB-F1110C) were purchased from Elabscience (Wuhan, China).

    Techniques: Western Blot, Expressing, Staining, Colony Assay, Migration, Fluorescence, Multiple Displacement Amplification, GSH Assay

    a Schematic illustration of the induction of M2 TAMs, the 1-6/TAM spheroids formulation, the transwell co-incubation, and their respective treatments. b Western blot analysis of GPX4 and FSP1 expression in M2 TAMs after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of GPX4 and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of M2 TAMs after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead M2 TAMs in ( d ) ( n = 3 independent experiments). f Flow cytometric analysis of Annexin V-FITC/propidium iodide (PI)-stained M2 TAMs (gated on F4/80 + CD206 + macrophages) after different treatments. g Quantification of the percentage of apoptotic cells in ( f ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. h The cell proliferation of M2 TAMs after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. i Fluorescence images of C11 BODIPY 581/591 -stained M2 TAMs after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. j Fluorescence images of live/dead stained 1-6/TAM spheroids after different treatments (Scale bar = 500 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). Z-stack scanning of the spheroids was performed with slices distanced by 14.36 μm. The experiment was repeated three times independently with similar results. k Flow cytometric analysis of anti-CRT-stained Hepa1-6 cells after different treatments. l Quantification of the percentage of CRT positive cells in ( k ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. m The ATP assay of Hepa1-6 cells after different treatments ( n = 3 independent experiments). n The HMGB1 assay of Hepa1-6 cells after different treatments ( n = 3 independent experiments). o Flow cytometric analysis of anti-CD80/CD86-stained BMDCs (gated on CD11c + DCs) after different treatments. p Quantification of the percentage of mature DCs in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The assay of TNF, IL-6, and IL-12 in BMDCs after different treatments ( n = 3 independent experiments). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , h , l – n , p , q ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 5a were created by Adobe Illustrator.

    Journal: Nature Communications

    Article Title: Co-delivery of sorafenib and an FSP1 inhibitor triggers dual ferroptosis in tumor cells and immunosuppressive macrophages for enhanced immunotherapy in mouse models of hepatocellular carcinoma

    doi: 10.1038/s41467-025-65056-9

    Figure Lengend Snippet: a Schematic illustration of the induction of M2 TAMs, the 1-6/TAM spheroids formulation, the transwell co-incubation, and their respective treatments. b Western blot analysis of GPX4 and FSP1 expression in M2 TAMs after different treatments. The experiment was repeated three times independently with similar results. Uncropped blots in Source Data. c Quantification of grayscale intensity of GPX4 and FSP1 in ( b ) ( n = 3 independent experiments). Protein expression levels in PBS group were normalized to 1. d Live/dead staining of M2 TAMs after different treatments (Scale bar = 200 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). The experiment was repeated three times independently with similar results. e Quantification of the percentage of viable and dead M2 TAMs in ( d ) ( n = 3 independent experiments). f Flow cytometric analysis of Annexin V-FITC/propidium iodide (PI)-stained M2 TAMs (gated on F4/80 + CD206 + macrophages) after different treatments. g Quantification of the percentage of apoptotic cells in ( f ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. h The cell proliferation of M2 TAMs after different treatments measured by CCK8 ( n = 3 independent experiments). The concentrations of SF and vF contained in nanoparticles were both 3 μM. i Fluorescence images of C11 BODIPY 581/591 -stained M2 TAMs after different treatments (Scale bar = 100 μm). The experiment was repeated three times independently with similar results. j Fluorescence images of live/dead stained 1-6/TAM spheroids after different treatments (Scale bar = 500 μm). Viable cells were stained with calcein-AM (green), and dead cells were stained with PI (red). Z-stack scanning of the spheroids was performed with slices distanced by 14.36 μm. The experiment was repeated three times independently with similar results. k Flow cytometric analysis of anti-CRT-stained Hepa1-6 cells after different treatments. l Quantification of the percentage of CRT positive cells in ( k ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. m The ATP assay of Hepa1-6 cells after different treatments ( n = 3 independent experiments). n The HMGB1 assay of Hepa1-6 cells after different treatments ( n = 3 independent experiments). o Flow cytometric analysis of anti-CD80/CD86-stained BMDCs (gated on CD11c + DCs) after different treatments. p Quantification of the percentage of mature DCs in ( o ) ( n = 3 independent replicates). The experiment was repeated twice independently with similar results. q The assay of TNF, IL-6, and IL-12 in BMDCs after different treatments ( n = 3 independent experiments). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( c , g , h , l – n , p , q ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 5a were created by Adobe Illustrator.

    Article Snippet: PerCP/Cyanine5.5 anti-mouse F4/80 (1:200, #E-AB-F0995J), APC anti-mouse CD206 (1:200, #E-AB-F1135E), PE/Cyanine7 anti-mouse CD86 (1:200, #E-AB-F0994H), Fluor Red 780 anti-mouse CD80 (1:200, #E-AB-F0992S), APC anti-mouse CD11c (1:200, #E-AB-F0991E), Fluor Violet 450 anti-mouse CD3 (1:200, #E-AB-F1013Q), Fluor Red 780 anti-mouse CD4 (1:200, #E-AB-F1097S), PerCP/Cyanine5.5 anti-mouse CD8 (1:200, #E-AB-F1104J), FITC anti-human/mouse CD44 (1:200, #E-AB-F1100C), PE anti-mouse Foxp3 (1:200, #E-AB-F1238D), FITC anti-mouse MHC II (1:200, #E-AB-F0990C), APC anti-mouse CD62L (1:200, #E-AB-F1011E), APC anti-mouse PD-L1 (1:200, #E-AB-F1132E), PerCP anti-human CD45 (1:200, #E-AB-F1137F), Fluor647 anti-human CD68 (1:200, #E-AB-F1299M), FITC anti-human CD206 (1:200, #E-AB-F1161C), PE anti-human CD80 (1:200, #E-AB-F1232D), APC anti-human HLA-DR (1:200, #E-AB-F1111E), PE anti-human CD11c (1:200, #E-AB-F1118D), APC anti-human CD3 (1:200, #E-AB-F1001E), and FITC anti-human CD8 (1:200, #E-AB-F1110C) were purchased from Elabscience (Wuhan, China).

    Techniques: Formulation, Incubation, Western Blot, Expressing, Staining, Fluorescence, ATP Assay

    a Schematic illustration of the research procedure in subcutaneous HCC mouse model. b Relative tumor volume curves of different treatment groups ( n = 5 independent mice). c Animal survival after different treatments ( n = 5 independent mice). d Quantification of fluorescence intensity in Supplementary Fig. f ( n = 5 independent mice). e Immunofluorescence images of tumor tissue slices collected from different groups stained with anti-F4/80/CD206, anti-F4/80/CD86, and anti-CD11c/MHC II after different treatments ( n = 5 independent mice; Scale bar = 100 μm). f Quantification of the percentage of F4/80 + CD206 + M2 TAMs, F4/80 + CD86 + M1 TAMs, and CD11c + MHC II + actDCs in ( e ) ( n = 5 independent mice). g Schematic illustration of the research procedure in orthotopic HCC mouse model. h Relative bioluminescence intensity curves for the various treatment groups ( n = 5 independent mice). i Animal survival after different treatments ( n = 5 independent mice). j Flow cytometric analysis of anti-F4/80/CD206-stained macrophages, anti-F4/80/CD86-stained macrophages, anti-CD11c/MHC II-stained DCs, anti-CD3/CD4-stained T cells, anti-CD3/CD8-stained T cells, and anti-CD4/Foxp3-stained T cells in tumor tissues after different treatments ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , d , f , h ) or log-rank test ( c , i ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 7a, g were created by Adobe Illustrator.

    Journal: Nature Communications

    Article Title: Co-delivery of sorafenib and an FSP1 inhibitor triggers dual ferroptosis in tumor cells and immunosuppressive macrophages for enhanced immunotherapy in mouse models of hepatocellular carcinoma

    doi: 10.1038/s41467-025-65056-9

    Figure Lengend Snippet: a Schematic illustration of the research procedure in subcutaneous HCC mouse model. b Relative tumor volume curves of different treatment groups ( n = 5 independent mice). c Animal survival after different treatments ( n = 5 independent mice). d Quantification of fluorescence intensity in Supplementary Fig. f ( n = 5 independent mice). e Immunofluorescence images of tumor tissue slices collected from different groups stained with anti-F4/80/CD206, anti-F4/80/CD86, and anti-CD11c/MHC II after different treatments ( n = 5 independent mice; Scale bar = 100 μm). f Quantification of the percentage of F4/80 + CD206 + M2 TAMs, F4/80 + CD86 + M1 TAMs, and CD11c + MHC II + actDCs in ( e ) ( n = 5 independent mice). g Schematic illustration of the research procedure in orthotopic HCC mouse model. h Relative bioluminescence intensity curves for the various treatment groups ( n = 5 independent mice). i Animal survival after different treatments ( n = 5 independent mice). j Flow cytometric analysis of anti-F4/80/CD206-stained macrophages, anti-F4/80/CD86-stained macrophages, anti-CD11c/MHC II-stained DCs, anti-CD3/CD4-stained T cells, anti-CD3/CD8-stained T cells, and anti-CD4/Foxp3-stained T cells in tumor tissues after different treatments ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , d , f , h ) or log-rank test ( c , i ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 7a, g were created by Adobe Illustrator.

    Article Snippet: PerCP/Cyanine5.5 anti-mouse F4/80 (1:200, #E-AB-F0995J), APC anti-mouse CD206 (1:200, #E-AB-F1135E), PE/Cyanine7 anti-mouse CD86 (1:200, #E-AB-F0994H), Fluor Red 780 anti-mouse CD80 (1:200, #E-AB-F0992S), APC anti-mouse CD11c (1:200, #E-AB-F0991E), Fluor Violet 450 anti-mouse CD3 (1:200, #E-AB-F1013Q), Fluor Red 780 anti-mouse CD4 (1:200, #E-AB-F1097S), PerCP/Cyanine5.5 anti-mouse CD8 (1:200, #E-AB-F1104J), FITC anti-human/mouse CD44 (1:200, #E-AB-F1100C), PE anti-mouse Foxp3 (1:200, #E-AB-F1238D), FITC anti-mouse MHC II (1:200, #E-AB-F0990C), APC anti-mouse CD62L (1:200, #E-AB-F1011E), APC anti-mouse PD-L1 (1:200, #E-AB-F1132E), PerCP anti-human CD45 (1:200, #E-AB-F1137F), Fluor647 anti-human CD68 (1:200, #E-AB-F1299M), FITC anti-human CD206 (1:200, #E-AB-F1161C), PE anti-human CD80 (1:200, #E-AB-F1232D), APC anti-human HLA-DR (1:200, #E-AB-F1111E), PE anti-human CD11c (1:200, #E-AB-F1118D), APC anti-human CD3 (1:200, #E-AB-F1001E), and FITC anti-human CD8 (1:200, #E-AB-F1110C) were purchased from Elabscience (Wuhan, China).

    Techniques: Fluorescence, Immunofluorescence, Staining

    a Flow cytometric analysis of anti-PD-L1-stained cells in tumor tissues after different treatments ( n = 5 independent mice). b Quantification of the percentage of PD-L1 positive cells in ( a ) ( n = 5 independent mice). c Schematic diagram of the mechanism of Sv@PM-M2p-mediated upregulation of PD-L1 within HCC TME. d Schematic illustration of the research procedure in bilateral subcutaneous HCC mouse model. e Representative bioluminescence images of bilateral subcutaneous HCC mice at specific time points with different treatments ( n = 5 independent mice). f Relative bioluminescence intensity curves for the various treatment groups ( n = 5 independent mice). g Flow cytometric analysis of anti-F4/80/CD206-stained macrophages and anti-F4/80/CD86-stained macrophages in tumor tissues after different treatments ( n = 5 independent mice). h Quantification of the percentage of F4/80 + CD206 + M2 TAMs and F4/80 + CD86 + M1 TAMs in ( g ) ( n = 5 independent mice). i Flow cytometric analysis of anti-CD44/CD62L-stained T cells (gated on CD3 + CD8 + T cells) in the spleens after different treatments ( n = 5 independent mice). j Quantification of the percentage of CD44 + CD62L - memory T cells in ( i ) ( n = 5 independent mice). k The assay of IFN-γ, TNF, IL-6, and IL-12 in serum after different treatments ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , f , h , j , k ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 8c, d were created by Adobe Illustrator.

    Journal: Nature Communications

    Article Title: Co-delivery of sorafenib and an FSP1 inhibitor triggers dual ferroptosis in tumor cells and immunosuppressive macrophages for enhanced immunotherapy in mouse models of hepatocellular carcinoma

    doi: 10.1038/s41467-025-65056-9

    Figure Lengend Snippet: a Flow cytometric analysis of anti-PD-L1-stained cells in tumor tissues after different treatments ( n = 5 independent mice). b Quantification of the percentage of PD-L1 positive cells in ( a ) ( n = 5 independent mice). c Schematic diagram of the mechanism of Sv@PM-M2p-mediated upregulation of PD-L1 within HCC TME. d Schematic illustration of the research procedure in bilateral subcutaneous HCC mouse model. e Representative bioluminescence images of bilateral subcutaneous HCC mice at specific time points with different treatments ( n = 5 independent mice). f Relative bioluminescence intensity curves for the various treatment groups ( n = 5 independent mice). g Flow cytometric analysis of anti-F4/80/CD206-stained macrophages and anti-F4/80/CD86-stained macrophages in tumor tissues after different treatments ( n = 5 independent mice). h Quantification of the percentage of F4/80 + CD206 + M2 TAMs and F4/80 + CD86 + M1 TAMs in ( g ) ( n = 5 independent mice). i Flow cytometric analysis of anti-CD44/CD62L-stained T cells (gated on CD3 + CD8 + T cells) in the spleens after different treatments ( n = 5 independent mice). j Quantification of the percentage of CD44 + CD62L - memory T cells in ( i ) ( n = 5 independent mice). k The assay of IFN-γ, TNF, IL-6, and IL-12 in serum after different treatments ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , f , h , j , k ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 8c, d were created by Adobe Illustrator.

    Article Snippet: PerCP/Cyanine5.5 anti-mouse F4/80 (1:200, #E-AB-F0995J), APC anti-mouse CD206 (1:200, #E-AB-F1135E), PE/Cyanine7 anti-mouse CD86 (1:200, #E-AB-F0994H), Fluor Red 780 anti-mouse CD80 (1:200, #E-AB-F0992S), APC anti-mouse CD11c (1:200, #E-AB-F0991E), Fluor Violet 450 anti-mouse CD3 (1:200, #E-AB-F1013Q), Fluor Red 780 anti-mouse CD4 (1:200, #E-AB-F1097S), PerCP/Cyanine5.5 anti-mouse CD8 (1:200, #E-AB-F1104J), FITC anti-human/mouse CD44 (1:200, #E-AB-F1100C), PE anti-mouse Foxp3 (1:200, #E-AB-F1238D), FITC anti-mouse MHC II (1:200, #E-AB-F0990C), APC anti-mouse CD62L (1:200, #E-AB-F1011E), APC anti-mouse PD-L1 (1:200, #E-AB-F1132E), PerCP anti-human CD45 (1:200, #E-AB-F1137F), Fluor647 anti-human CD68 (1:200, #E-AB-F1299M), FITC anti-human CD206 (1:200, #E-AB-F1161C), PE anti-human CD80 (1:200, #E-AB-F1232D), APC anti-human HLA-DR (1:200, #E-AB-F1111E), PE anti-human CD11c (1:200, #E-AB-F1118D), APC anti-human CD3 (1:200, #E-AB-F1001E), and FITC anti-human CD8 (1:200, #E-AB-F1110C) were purchased from Elabscience (Wuhan, China).

    Techniques: Staining

    a Schematic illustration of the research procedure in PDX subcutaneous mouse model. b Relative tumor volume curves of different treatment groups ( n = 5 independent mice). c Collected tumor tissues of mice at the end of treatment in different groups. d Tumor weight at the end of treatment in different groups ( n = 5 independent mice). e Immunofluorescence images of tumor tissue slices collected from different groups stained with Liperfluo after different treatments ( n = 5 independent mice; Scale bar = 100 μm). f Quantification of fluorescence intensity in ( e ) ( n = 5 independent mice). g Flow cytometric analysis of anti-CD68/CD206-stained macrophages (gated on CD45 + cells), anti-CD68/CD80-stained macrophages (gated on CD45 + cells), anti-HLA-DR/CD11c-stained DCs (gated on CD45 + Lin-1 – T cells), and anti-CD3/CD8-stained T cells (gated on CD45 + cells) in tumor tissues after different treatments ( n = 5 independent mice). h Quantification of the percentage of CD68 + CD206 + M2 TAMs, CD68 + CD80 + M1 TAMs, HLA-DR + CD11c + actDCs, and CD3 + CD8 + Tc cells in ( g ) ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , d , f , h ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 9a were created by Adobe Illustrator.

    Journal: Nature Communications

    Article Title: Co-delivery of sorafenib and an FSP1 inhibitor triggers dual ferroptosis in tumor cells and immunosuppressive macrophages for enhanced immunotherapy in mouse models of hepatocellular carcinoma

    doi: 10.1038/s41467-025-65056-9

    Figure Lengend Snippet: a Schematic illustration of the research procedure in PDX subcutaneous mouse model. b Relative tumor volume curves of different treatment groups ( n = 5 independent mice). c Collected tumor tissues of mice at the end of treatment in different groups. d Tumor weight at the end of treatment in different groups ( n = 5 independent mice). e Immunofluorescence images of tumor tissue slices collected from different groups stained with Liperfluo after different treatments ( n = 5 independent mice; Scale bar = 100 μm). f Quantification of fluorescence intensity in ( e ) ( n = 5 independent mice). g Flow cytometric analysis of anti-CD68/CD206-stained macrophages (gated on CD45 + cells), anti-CD68/CD80-stained macrophages (gated on CD45 + cells), anti-HLA-DR/CD11c-stained DCs (gated on CD45 + Lin-1 – T cells), and anti-CD3/CD8-stained T cells (gated on CD45 + cells) in tumor tissues after different treatments ( n = 5 independent mice). h Quantification of the percentage of CD68 + CD206 + M2 TAMs, CD68 + CD80 + M1 TAMs, HLA-DR + CD11c + actDCs, and CD3 + CD8 + Tc cells in ( g ) ( n = 5 independent mice). Unless specified otherwise, error bars represent the mean ± SEM. Statistical significance was determined by one-way ANOVA with Tukey’s test ( b , d , f , h ) and P -values were indicated. Source data are provided as a Source Data file. The elements in Fig. 9a were created by Adobe Illustrator.

    Article Snippet: PerCP/Cyanine5.5 anti-mouse F4/80 (1:200, #E-AB-F0995J), APC anti-mouse CD206 (1:200, #E-AB-F1135E), PE/Cyanine7 anti-mouse CD86 (1:200, #E-AB-F0994H), Fluor Red 780 anti-mouse CD80 (1:200, #E-AB-F0992S), APC anti-mouse CD11c (1:200, #E-AB-F0991E), Fluor Violet 450 anti-mouse CD3 (1:200, #E-AB-F1013Q), Fluor Red 780 anti-mouse CD4 (1:200, #E-AB-F1097S), PerCP/Cyanine5.5 anti-mouse CD8 (1:200, #E-AB-F1104J), FITC anti-human/mouse CD44 (1:200, #E-AB-F1100C), PE anti-mouse Foxp3 (1:200, #E-AB-F1238D), FITC anti-mouse MHC II (1:200, #E-AB-F0990C), APC anti-mouse CD62L (1:200, #E-AB-F1011E), APC anti-mouse PD-L1 (1:200, #E-AB-F1132E), PerCP anti-human CD45 (1:200, #E-AB-F1137F), Fluor647 anti-human CD68 (1:200, #E-AB-F1299M), FITC anti-human CD206 (1:200, #E-AB-F1161C), PE anti-human CD80 (1:200, #E-AB-F1232D), APC anti-human HLA-DR (1:200, #E-AB-F1111E), PE anti-human CD11c (1:200, #E-AB-F1118D), APC anti-human CD3 (1:200, #E-AB-F1001E), and FITC anti-human CD8 (1:200, #E-AB-F1110C) were purchased from Elabscience (Wuhan, China).

    Techniques: Immunofluorescence, Staining, Fluorescence