rnaseq gene expression data Search Results


rnaseq experiments gene expression analysis of—tumor normal tissue rna samples  (CeGAT GmbH)
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CeGAT GmbH rnaseq experiments gene expression analysis of—tumor normal tissue rna samples
Rnaseq Experiments Gene Expression Analysis Of—Tumor Normal Tissue Rna Samples, supplied by CeGAT GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gene expression (rnaseq) analysis  (Incyte corporation)
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Incyte corporation gene expression (rnaseq) analysis
Gene Expression (Rnaseq) Analysis, supplied by Incyte corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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gene expression (rnaseq) analysis - by Bioz Stars, 2026-08
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rnaseq experiments gene expression analysis of—tumor and normal tissue rna samples was performed by next generation sequencing (rnaseq)  (CeGAT GmbH)
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CeGAT GmbH rnaseq experiments gene expression analysis of—tumor and normal tissue rna samples was performed by next generation sequencing (rnaseq)
Rnaseq Experiments Gene Expression Analysis Of—Tumor And Normal Tissue Rna Samples Was Performed By Next Generation Sequencing (Rnaseq), supplied by CeGAT GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rnaseq+gene+expression+data/us10081665-1247-15-19?v=CeGAT+GmbH
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rnaseq experiments gene expression analysis of—tumor and normal tissue rna samples was performed by next generation sequencing (rnaseq) - by Bioz Stars, 2026-08
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ccle rnaseq gene expression (rpkm) database  (Broad Institute Inc)
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Broad Institute Inc ccle rnaseq gene expression (rpkm) database
Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in <xref ref-type=Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 . " width="250" height="auto" />
Ccle Rnaseq Gene Expression (Rpkm) Database, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rnaseq+gene+expression+data/pmc11208921-227-2-23?v=Broad+Institute+Inc
Average 90 stars, based on 1 article reviews
ccle rnaseq gene expression (rpkm) database - by Bioz Stars, 2026-08
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rnaseq gene expression data  (Ocean Ridge Biosciences)
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Ocean Ridge Biosciences rnaseq gene expression data
Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in <xref ref-type=Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 . " width="250" height="auto" />
Rnaseq Gene Expression Data, supplied by Ocean Ridge Biosciences, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rnaseq+gene+expression+data/pm29491038-143-0-7?v=Ocean+Ridge+Biosciences
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rnaseq gene expression data - by Bioz Stars, 2026-08
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gene expression rnaseq v2  (Broad Institute Inc)
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Broad Institute Inc gene expression rnaseq v2
Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in <xref ref-type=Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 . " width="250" height="auto" />
Gene Expression Rnaseq V2, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rnaseq+gene+expression+data/pmc06587277-224-9-29?v=Broad+Institute+Inc
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gene expression rnaseq v2 - by Bioz Stars, 2026-08
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bladder cancer rnaseq gene expression data level_3_rsem_genes_normalized  (Broad Institute Inc)
90
Broad Institute Inc bladder cancer rnaseq gene expression data level_3_rsem_genes_normalized
Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in <xref ref-type=Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 . " width="250" height="auto" />
Bladder Cancer Rnaseq Gene Expression Data Level 3 Rsem Genes Normalized, supplied by Broad Institute Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/rnaseq+gene+expression+data/pmc06115401-162-0-18?v=Broad+Institute+Inc
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Image Search Results


Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in <xref ref-type=Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 . " width="100%" height="100%">

Journal: The Journal of Biological Chemistry

Article Title: Novel markers of MCL1 inhibitor sensitivity in triple-negative breast cancer cells

doi: 10.1016/j.jbc.2024.107375

Figure Lengend Snippet: Identification of commonly upregulated genes in S63845 resistant TNBC cell lines. A , volcano plot analysis of genes differentially expressed in resistant vs. sensitive cell lines identified the top 100 commonly upregulated genes in resistant cell lines (gene list seen in Table S1 ). B , 4 genes of interest whose levels (RPKM) are commonly significantly ( p < 0.05) upregulated in resistant cell lines. Note that MCL1 levels are not different. C , lysates of the indicated 8 cell lines were immunoblotted for the indicated proteins with relative signal indicated. Representative results of three independent experiments. Original images are presented in Fig. S2 .

Article Snippet: Briefly, the CCLE RNAseq gene expression (RPKM) database ( ) for 1019 cell lines (CCLE RNAseq genes rpkm 20180929.gct.gz) was downloaded from the Broad Institute CCLE database.

Techniques:

A 4 gene signature (GS) correlates with AZD5991 sensitivity and MCL-1 dependency in TNBC cell lines. A , analysis of gene expression correlation with TIMER software in 139 TNBC tumors (TCGA) showed that the 4 genes positively correlate with each other. B , 18 TNBC cell lines from GDSC are divided into AZD5991 resistant ( green ) and sensitive ( yellow ) groups. mRNA levels (RPKM) of AXL, ETS1, IL6, and EFEMP1 in all cell lines were extracted from CCLE RNAseq database. The median level of each gene is calculated and listed on top. Gene levels above the median is marked in red and scored 1 and below median is scored 0. The sum of the 4 gene scores is listed on right . C , correlation of GS scores with AZD5991 sensitivity was analyzed with ROC curve with sensitive cells defined as event 1. The results showed a significant correlation ( p = 0.002) with an ROC area 0.95 (ROC area 1.0 indicates perfect correlation). D, 13 TNBC cell lines with MCL-1 CRISPR (DepMap public 23Q2) are divided into MCL-1 dependent ( green ) and independent ( yellow ) groups based on their Chromos scores. Gene scores are calculated as described in B. Correlation of GS scores with MCL-1 dependency was analyzed with ROC curve ( E ). The results showed a significant correlation ( p = 0.04) with a ROC area 0.79).

Journal: The Journal of Biological Chemistry

Article Title: Novel markers of MCL1 inhibitor sensitivity in triple-negative breast cancer cells

doi: 10.1016/j.jbc.2024.107375

Figure Lengend Snippet: A 4 gene signature (GS) correlates with AZD5991 sensitivity and MCL-1 dependency in TNBC cell lines. A , analysis of gene expression correlation with TIMER software in 139 TNBC tumors (TCGA) showed that the 4 genes positively correlate with each other. B , 18 TNBC cell lines from GDSC are divided into AZD5991 resistant ( green ) and sensitive ( yellow ) groups. mRNA levels (RPKM) of AXL, ETS1, IL6, and EFEMP1 in all cell lines were extracted from CCLE RNAseq database. The median level of each gene is calculated and listed on top. Gene levels above the median is marked in red and scored 1 and below median is scored 0. The sum of the 4 gene scores is listed on right . C , correlation of GS scores with AZD5991 sensitivity was analyzed with ROC curve with sensitive cells defined as event 1. The results showed a significant correlation ( p = 0.002) with an ROC area 0.95 (ROC area 1.0 indicates perfect correlation). D, 13 TNBC cell lines with MCL-1 CRISPR (DepMap public 23Q2) are divided into MCL-1 dependent ( green ) and independent ( yellow ) groups based on their Chromos scores. Gene scores are calculated as described in B. Correlation of GS scores with MCL-1 dependency was analyzed with ROC curve ( E ). The results showed a significant correlation ( p = 0.04) with a ROC area 0.79).

Article Snippet: Briefly, the CCLE RNAseq gene expression (RPKM) database ( ) for 1019 cell lines (CCLE RNAseq genes rpkm 20180929.gct.gz) was downloaded from the Broad Institute CCLE database.

Techniques: Gene Expression, Software, CRISPR