triple negative breast cancer cells lines bt549  (ATCC)


Bioz Verified Symbol ATCC is a verified supplier
Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 99

    Structured Review

    ATCC triple negative breast cancer cells lines bt549
    Triple Negative Breast Cancer Cells Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cells lines bt549/product/ATCC
    Average 99 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cells lines bt549 - by Bioz Stars, 2024-06
    99/100 stars

    Images

    triple negative breast cancer cell lines bt549  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 86

    Structured Review

    ATCC triple negative breast cancer cell lines bt549
    a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal <t>TNBC</t> samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.
    Triple Negative Breast Cancer Cell Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cell lines bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cell lines bt549 - by Bioz Stars, 2024-06
    86/100 stars

    Images

    1) Product Images from "Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy"

    Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

    Journal: Nature Communications

    doi: 10.1038/s41467-022-31764-9

    a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.
    Figure Legend Snippet: a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

    Techniques Used: Expressing, Staining, Two Tailed Test, Cell Counting, Flow Cytometry

    a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.
    Figure Legend Snippet: a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

    Techniques Used: Cell Culture, Flow Cytometry, Expressing, Two Tailed Test, RNA Sequencing Assay

    a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.
    Figure Legend Snippet: a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

    Techniques Used: Lysis, Western Blot, Cell Culture

    triple negative breast cancer cell line bt549  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 86

    Structured Review

    ATCC triple negative breast cancer cell line bt549
    Triple Negative Breast Cancer Cell Line Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cell line bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cell line bt549 - by Bioz Stars, 2024-06
    86/100 stars

    Images

    triple negative breast cancer cells lines bt549  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 86

    Structured Review

    ATCC triple negative breast cancer cells lines bt549
    Triple Negative Breast Cancer Cells Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cells lines bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cells lines bt549 - by Bioz Stars, 2024-06
    86/100 stars

    Images

    triple negative breast cancer cells lines bt549  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 99

    Structured Review

    ATCC triple negative breast cancer cells lines bt549
    Triple Negative Breast Cancer Cells Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cells lines bt549/product/ATCC
    Average 99 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cells lines bt549 - by Bioz Stars, 2024-06
    99/100 stars

    Images

    triple negative breast cancer cells lines bt549  (ATCC)


    Bioz Verified Symbol ATCC is a verified supplier
    Bioz Manufacturer Symbol ATCC manufactures this product  
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 86

    Structured Review

    ATCC triple negative breast cancer cells lines bt549
    Triple Negative Breast Cancer Cells Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cells lines bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cells lines bt549 - by Bioz Stars, 2024-06
    86/100 stars

    Images

    Similar Products

  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
  • 99
    ATCC triple negative breast cancer cells lines bt549
    Triple Negative Breast Cancer Cells Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cells lines bt549/product/ATCC
    Average 99 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cells lines bt549 - by Bioz Stars, 2024-06
    99/100 stars
      Buy from Supplier

    86
    ATCC triple negative breast cancer cell lines bt549
    a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal <t>TNBC</t> samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.
    Triple Negative Breast Cancer Cell Lines Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cell lines bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cell lines bt549 - by Bioz Stars, 2024-06
    86/100 stars
      Buy from Supplier

    86
    ATCC triple negative breast cancer cell line bt549
    a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal <t>TNBC</t> samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.
    Triple Negative Breast Cancer Cell Line Bt549, supplied by ATCC, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/triple negative breast cancer cell line bt549/product/ATCC
    Average 86 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    triple negative breast cancer cell line bt549 - by Bioz Stars, 2024-06
    86/100 stars
      Buy from Supplier

    Image Search Results


    a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

    Journal: Nature Communications

    Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

    doi: 10.1038/s41467-022-31764-9

    Figure Lengend Snippet: a Heatmap showing Pearson’s correlation between hypoxic signature genes expression and immune-related genes expression in basal TNBC samples ( n = 98) in TCGA dataset. b Scatter plots (upper panel) and Pearson’s correlation coefficients (lower panel) showing the expression of hypoxic gene signatures and immune-related genes in breast cancers in TCGA dataset (Basal, n = 98; HER2, n = 58; Luminal A, n = 231; Luminal B, n = 129). Regression lines with a 95% confidence interval (gray fill) are shown in the scatter plots. c Images of fluorescent staining of human TNBC samples. Scale bar, 50 µm. Data were representative of 30 independent experiments. d Quantification of infiltrating IFNγ + CD8 + T cell number in HIF1α − and HIF1α + regions of human TNBC sample ( n = 30). P values were determined with paired two-tailed t -test. e Correlation between infiltrating IFNγ + CD8 + T cell count and HIF1α fluorescent intensity in human TNBC samples ( n = 30). The simple linear regression R 2 and P values (two-tailed) are calculated. Dot plot is shown with regression line and 95% confidence interval. f Representative images of fluorescent staining of mouse 4T1 tumor samples. Scale bar, 50 µm. Data represents three independent experiments. g Flow cytometry (left panel) demonstrating the gating strategy of activated-PIM high (H) and activated-PIM low (L) populations in living cells dissociated from 4T1 tumors. The CD8 + T cell percentage and IFNγ expression in CD8 + T cells was quantified (right panel, n = 6). Data were presented as box and whiskers, with median value and whiskers of minimum and maximum values. P values were determined with an unpaired two-tailed t -test. h Kaplan–Meier overall survival (OS) and distant metastasis-free survival (DMFS) analysis of the indicated gene signatures in TNBC patients. The publicly available data used in Fig. 1a, b are available in the TCGA database under accession code BRCA.exp.547.med.txt [ https://gdc.cancer.gov/about-data/publications/brca_2012 ]. The publicly available data used in h are available in the KM-Plotter-Breast Cancer [ https://kmplot.com/analysis/index.php?p=service&cancer=breast ]. For the remaining data, source data are provided in Source Data file.

    Article Snippet: The human triple-negative breast cancer cell lines BT549, MDA-MB-231, and mouse triple-negative breast cancer cell line 4T1 were purchased from American Type Culture Collection (ATCC, USA).

    Techniques: Expressing, Staining, Two Tailed Test, Cell Counting, Flow Cytometry

    a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

    Journal: Nature Communications

    Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

    doi: 10.1038/s41467-022-31764-9

    Figure Lengend Snippet: a Schematic graph demonstrating the coculture model. b Representative flow cytograms (upper panel) gated from human pan-T cell culture and quantification (lower panel, n = 3) of differentiated CD8 + T cell subtypes: Tn (naïve T cells), Tcm (central memory T cells), Tem (effector memory T cells), Teff (effector T cells). c Schematic graph demonstrating the normoxia (20% O 2 ) and hypoxia (1% O 2 ) culture condition of T cells coculturing with human TNBC cell line. d Heatmap of the differentially expressed genes (DEGs) in hypoxic cultured human T cells compared to normoxia group. DEGs were identified in edgeR (|logFC| > 1, adjusted P < 0.01). P values were adjusted using Benjamini–Hochberg method in edgeR. DEGs identified in the indicated GO gene clusters are marked in the heatmap. e GSEA analysis of human T cells in hypoxic versus normoxic conditions. Analysis was based on ranked logFC from edgeR. FDR and adjusted p value are shown in the graph. P values were adjusted using Benjamini–Hochberg method in GSEA analysis. f Flow cytometry quantifications of immune effector molecules and exhaustion markers in CD8 + T cells gated from human pan-T cells cultured under the indicated conditions ( n = 4). g Representative flow cytograms of PD-1 and TIM-3 expression in CD8 + T cells gated from human pan-T cells culture. h Flow cytometric quantification of terminally exhausted T cells (PD-1 + TIM-3 + ) in CD8 + T cells gated from human pan-T cells culture ( n = 3). i Flow cytometric quant i fication of proliferating cells (Ki76 + ) in CD8 + and CD4 + T cells gated from human T cells cocultured with TNBC ( n = 3). All flow cytometry data ( b , f , h , and i ) are presented as the mean ± SD of samples from three to four donors. For all flow cytometry data, P values were determined by one-way ANOVA ( f , h ) or two-way ANOVA ( b ) with Turkey’s test, or paired two-tailed t -test ( i ). Raw RNA-seq data i s available in the GEO database with accession number GSE179885 . For the remaining data, source data are provided in Source Data file.

    Article Snippet: The human triple-negative breast cancer cell lines BT549, MDA-MB-231, and mouse triple-negative breast cancer cell line 4T1 were purchased from American Type Culture Collection (ATCC, USA).

    Techniques: Cell Culture, Flow Cytometry, Expressing, Two Tailed Test, RNA Sequencing Assay

    a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

    Journal: Nature Communications

    Article Title: Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy

    doi: 10.1038/s41467-022-31764-9

    Figure Lengend Snippet: a Cell lysis of TNBC cells cocultured with human T cells from two different healthy donors. Human T cells were stimulated with TNBC cell lysate-primed DC cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA. b Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Data were representative of two independent experiments ( n = 2). c Cell lysis of TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data presented as mean ± SD of three independent experiments ( n = 3). P values were determined by one-way ANOVA with Dunnett’s test. d Western blot analysis of IFNγ–regulated proteins in TNBC cells cocultured with human T cells. Human T cells were stimulated with TNBC cell lysate-primed DC cells and pretreated with indicated compounds. Data were representative of two independent experiments ( n = 2). e Cell lysis of TNBC cells cocultured with human T cells. Data were presented as mean ± SD of three independent experiments ( n = 3). P values were determined by two-way ANOVA with Dunnett’s test. f Flow cytometric quantifications of immune effector molecules in human CD8 + T cells cultured under the indicated conditions. Data were presented as the mean ± SD of samples from three donors ( n = 3). P values were determined by two-way ANOVA with Turkey’s test. Source data are provided as a source data file.

    Article Snippet: The human triple-negative breast cancer cell lines BT549, MDA-MB-231, and mouse triple-negative breast cancer cell line 4T1 were purchased from American Type Culture Collection (ATCC, USA).

    Techniques: Lysis, Western Blot, Cell Culture