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bmsc human cell line hs 5  (ATCC)


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    ATCC bmsc human cell line hs 5
    Bmsc Human Cell Line Hs 5, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 336 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bmsc+human+cell+line+hs+5/HS-5/pmc12683941-219-1-7
    Average 97 stars, based on 336 article reviews
    bmsc human cell line hs 5 - by Bioz Stars, 2026-10
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    Cell Culture:

    Article Title: 3D Tumor microenvironment interaction reveals AP‐1 complex regulation and contact‐mediated reprogramming of bone marrow stromal cells in chronic lymphocytic leukemia
    Article Snippet: .. The BMSC human cell line HS‐5 (CRL‐11882; ATCC) was cultured in DMEM + GlutaMAX (Gibco) supplemented with 10% fetal calf serum and 0.4% penicillin/streptomycin and tested to be free from mycoplasma. ..

    Article Title: Functional differences between CLL‐ and ALL‐derived CAR T cells in a 3D tumor microenvironment highlight CXCR4 and IL‐10 as potential modulatory targets
    Article Snippet: Primary T cells were cultured in TexMACS medium (Miltenyi Biotec), supplemented with IL‐7, IL‐15 (Miltenyi Biotec) at a concentration of 12.5 μg/L and 3% human AB serum (ccpro, Germany). .. The BMSC human cell line HS‐5 (CRL‐11882, ATCC, Manassas, USA) was cultured in DMEM + GlutaMAX (Gibco) supplemented with 10% FCS and 0.4% penicillin/streptomycin. .. CD19 + Nalm‐6 (ACC 128, DSMZ, Braunschweig, Germany), CD19 + Mec‐1 (ACC 497, DSMZ), and CD19 – U937 cells (ACC 5, DSMZ) were used as control cell lines for 2D functionality analysis and cultivated in medium for primary CLL cells (Mec‐1) or RPMI supplemented with 10% FCS and 0.4% penicillin/streptomycin (Nalm‐6, U937).



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    bmsc human cell line hs 5  (ATCC)
    97
    ATCC bmsc human cell line hs 5
    Bmsc Human Cell Line Hs 5, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bmsc+human+cell+line+hs+5/HS-5/pmc12683941-219-1-7
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    human bmsc cell line hs  (ATCC)
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    ATCC human bmsc cell line hs
    Figure 2. Transcriptional identification of <t>BMSC</t> heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.
    Human Bmsc Cell Line Hs, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    human bmscs cell lines hs  (ATCC)
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    Figure 2. Transcriptional identification of <t>BMSC</t> heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.
    Human Bmscs Cell Lines Hs, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/bmsc+human+cell+line+hs+5/HS-5/pmc07723653-135-0-8
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    human bmsc cell line hs 5  (ATCC)
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    Figure 2. Transcriptional identification of <t>BMSC</t> heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.
    Human Bmsc Cell Line Hs 5, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    human bone marrow stromal cell bmsc line hs 5  (ATCC)
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    Figure 2. Transcriptional identification of <t>BMSC</t> heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.
    Human Bone Marrow Stromal Cell Bmsc Line Hs 5, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    human bm stromal cell bmscs line hs  (ATCC)
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    Figure 2. Transcriptional identification of <t>BMSC</t> heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.
    Human Bm Stromal Cell Bmscs Line Hs, supplied by ATCC, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Figure 2. Transcriptional identification of BMSC heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.

    Journal: Blood Cancer Discovery

    Article Title: A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML

    doi: 10.1158/2643-3230.bcd-23-0043

    Figure Lengend Snippet: Figure 2. Transcriptional identification of BMSC heterogeneity in the human NBM. A, Predicted cellular interactions based on transcriptional network- ing by CellChat, identifying BMSCs as the dominant source of signaling to all other cells. In the circle plot, colors represent signal senders and width represents signal strength. In the heat map, signal strength is represented by the color scale. B, Predicted ligand–receptor interactions between BMSCs and other cell types. Color scale and dot size represent the probability and P value of interactions, respectively. C, Heterogeneity of the BMSC popula- tion reflected in the uniform manifold approximation and projection (UMAP) plot representing 3,236 cells. D, Differential expression of LEPR and genes encoding key HSPC regulatory factors in BMSC subset 0 represented by UMAP and Violin plots. ***, FDR-adjusted P value (Padj) < 0.001. ****, Padj < 0.0001. Differential gene-expression analysis is performed using the pseudoDE R package at the sample level (pair-wise comparison in individual samples). E, Relative strength of predicted HSPC-supportive signaling originating from distinct BMSC subsets, as assessed by CellphoneDB. Color scale and dot size represent the relative mean strength and P value of interactions, respectively.

    Article Snippet: Cell Line and Ex Vivo Coculture The STR-authenticated human BMSC cell line HS-5 was purchased from ATCC (CRL 3611) in 2020 and maintained in RPMI-1640 medium (Thermo Fisher Scientific) supplemented with 10% FCS and 1% penicillin and streptomycin.

    Techniques: Quantitative Proteomics, Gene Expression, Comparison

    Figure 3. Remodeling of BMSC in NPM1m AML. A, Uniform manifold approximation and projection (UMAP) distribution of BM cells in NBM and AML. For AML, 49,758 cells from 6 patients are presented. B, Volcano plot of differentially (Padj < 0.05) expressed genes in BMSCs in AML versus NBM. Dif- ferential expression gene analysis is performed at the sample level using the pseudoDE R package. C and D, Differentially expressed transcriptional programs in BMSCs from AML in comparison with NBM, as demonstrated by Hallmark analysis (C) and GO term (D). Positive NES (normalized enrichment score) reflects programs enriched in AML, whereas negative scores indicate enrichment in NBM. E and F, Distribution and frequencies of BMSC subsets in AML and NBM. (continued on next page)

    Journal: Blood Cancer Discovery

    Article Title: A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML

    doi: 10.1158/2643-3230.bcd-23-0043

    Figure Lengend Snippet: Figure 3. Remodeling of BMSC in NPM1m AML. A, Uniform manifold approximation and projection (UMAP) distribution of BM cells in NBM and AML. For AML, 49,758 cells from 6 patients are presented. B, Volcano plot of differentially (Padj < 0.05) expressed genes in BMSCs in AML versus NBM. Dif- ferential expression gene analysis is performed at the sample level using the pseudoDE R package. C and D, Differentially expressed transcriptional programs in BMSCs from AML in comparison with NBM, as demonstrated by Hallmark analysis (C) and GO term (D). Positive NES (normalized enrichment score) reflects programs enriched in AML, whereas negative scores indicate enrichment in NBM. E and F, Distribution and frequencies of BMSC subsets in AML and NBM. (continued on next page)

    Article Snippet: Cell Line and Ex Vivo Coculture The STR-authenticated human BMSC cell line HS-5 was purchased from ATCC (CRL 3611) in 2020 and maintained in RPMI-1640 medium (Thermo Fisher Scientific) supplemented with 10% FCS and 1% penicillin and streptomycin.

    Techniques: Expressing, Comparison

    Figure 3. (Continued) G, Expression of genes encoding HSPC regulatory factors in BMSC subsets in NBM and AML. H and I, Activation of transcriptional programs related to inflammation and connective tissue development in BMSC cluster 2, as demonstrated by gene signature calculation (H) and expression of inflam- mation- and ECM remodeling-associated genes (I). J and K, Inflammation of BMSCs in AML as demonstrated by expression of CD44 using fluorescence IHC on bone marrow biopsies. Scale bar, 50 μm (J) and flow cytometry on BM aspirate (K). n = 2 for NBM and n = 5 for AML. Investigations were performed in patients not included in the scRNA-seq analyses. *, P < 0.05 by an unpaired t test. Error bar represents mean ± SE. CD44 CD271 0 104 105 0

    Journal: Blood Cancer Discovery

    Article Title: A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML

    doi: 10.1158/2643-3230.bcd-23-0043

    Figure Lengend Snippet: Figure 3. (Continued) G, Expression of genes encoding HSPC regulatory factors in BMSC subsets in NBM and AML. H and I, Activation of transcriptional programs related to inflammation and connective tissue development in BMSC cluster 2, as demonstrated by gene signature calculation (H) and expression of inflam- mation- and ECM remodeling-associated genes (I). J and K, Inflammation of BMSCs in AML as demonstrated by expression of CD44 using fluorescence IHC on bone marrow biopsies. Scale bar, 50 μm (J) and flow cytometry on BM aspirate (K). n = 2 for NBM and n = 5 for AML. Investigations were performed in patients not included in the scRNA-seq analyses. *, P < 0.05 by an unpaired t test. Error bar represents mean ± SE. CD44 CD271 0 104 105 0

    Article Snippet: Cell Line and Ex Vivo Coculture The STR-authenticated human BMSC cell line HS-5 was purchased from ATCC (CRL 3611) in 2020 and maintained in RPMI-1640 medium (Thermo Fisher Scientific) supplemented with 10% FCS and 1% penicillin and streptomycin.

    Techniques: Expressing, Activation Assay, Fluorescence, Flow Cytometry

    Figure 7. Gene signatures reflective of inflammatory niche remodeling are associated with favorable clinical outcomes in AML. A, Predicted BMSC subset size in the larger cohort of patients with AML (n = 62). ****, P < 0.0001 by the Wilcoxon test. B, Kaplan–Meier curves for overall survival (OS) and relapse probability indicating improved outcome in patients with the predicted loss of BMSC cluster 0. Cutoff is median frequency. Statistical signifi- cance is determined by a log-rank test. C, Construction of a gene signature reflective of niche remodeling (inflammatory activation and relative loss of BMSC cluster 0) in AML. 189 genes at the intersection of the genes differentially expressed in the BMSC-0 vs. other clusters in NBM, the genes differ- entially expressed in the BMSC-2 vs. other clusters in AML, and the genes differentially expressed in BMSCs in human AML vs. NBM were selected and tested for their correlation with outcome by multivariate Cox regression survival analysis. Thirteen of 189 genes were identified that were associated with outcome. D, Coefficient plot (left) and heat map (right) of the 13-gene signature. The gene-expression profile (GEP) score in each patient was calcu- lated using the coefficient and z-scale of the genes. Based on the median GEP score, patients were stratified into two groups, with a high score reflecting relative preservation of niche integrity and a low score reflecting niche inflammatory disruption. E, Kaplan–Meier curves for overall survival (OS) and relapse probability indicating improved outcome in patients with niche inflammatory disruption. Cutoff is median score. Log-rank test is used for statisti- cal analysis. F, Kaplan–Meier curves OS and relapse probability indicating improved outcome in patients with lower KITLG expression in BMSCs. Cutoff is median TPM. Log-rank test is used for statistical analysis. G, Kaplan–Meier curves for OS indicating improved outcome in age-matched patients with AML with lower KITLG expression in whole BM in Bohlander AML (GSE37642) cohort (n = 284) and TCGA-AML cohort (n = 98). Cutoff is 75th percentile normalized counts. Log-rank test is used for statistical analysis.

    Journal: Blood Cancer Discovery

    Article Title: A Single-Cell Taxonomy Predicts Inflammatory Niche Remodeling to Drive Tissue Failure and Outcome in Human AML

    doi: 10.1158/2643-3230.bcd-23-0043

    Figure Lengend Snippet: Figure 7. Gene signatures reflective of inflammatory niche remodeling are associated with favorable clinical outcomes in AML. A, Predicted BMSC subset size in the larger cohort of patients with AML (n = 62). ****, P < 0.0001 by the Wilcoxon test. B, Kaplan–Meier curves for overall survival (OS) and relapse probability indicating improved outcome in patients with the predicted loss of BMSC cluster 0. Cutoff is median frequency. Statistical signifi- cance is determined by a log-rank test. C, Construction of a gene signature reflective of niche remodeling (inflammatory activation and relative loss of BMSC cluster 0) in AML. 189 genes at the intersection of the genes differentially expressed in the BMSC-0 vs. other clusters in NBM, the genes differ- entially expressed in the BMSC-2 vs. other clusters in AML, and the genes differentially expressed in BMSCs in human AML vs. NBM were selected and tested for their correlation with outcome by multivariate Cox regression survival analysis. Thirteen of 189 genes were identified that were associated with outcome. D, Coefficient plot (left) and heat map (right) of the 13-gene signature. The gene-expression profile (GEP) score in each patient was calcu- lated using the coefficient and z-scale of the genes. Based on the median GEP score, patients were stratified into two groups, with a high score reflecting relative preservation of niche integrity and a low score reflecting niche inflammatory disruption. E, Kaplan–Meier curves for overall survival (OS) and relapse probability indicating improved outcome in patients with niche inflammatory disruption. Cutoff is median score. Log-rank test is used for statisti- cal analysis. F, Kaplan–Meier curves OS and relapse probability indicating improved outcome in patients with lower KITLG expression in BMSCs. Cutoff is median TPM. Log-rank test is used for statistical analysis. G, Kaplan–Meier curves for OS indicating improved outcome in age-matched patients with AML with lower KITLG expression in whole BM in Bohlander AML (GSE37642) cohort (n = 284) and TCGA-AML cohort (n = 98). Cutoff is 75th percentile normalized counts. Log-rank test is used for statistical analysis.

    Article Snippet: Cell Line and Ex Vivo Coculture The STR-authenticated human BMSC cell line HS-5 was purchased from ATCC (CRL 3611) in 2020 and maintained in RPMI-1640 medium (Thermo Fisher Scientific) supplemented with 10% FCS and 1% penicillin and streptomycin.

    Techniques: Activation Assay, Gene Expression, Preserving, Disruption, Expressing