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rna seq expression data  (Human Protein Atlas)

 
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    Human Protein Atlas rna seq expression data
    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), <t>while</t> <t>RNA-seq</t> data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
    Rna Seq Expression Data, supplied by Human Protein Atlas, 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/product/rna-seq+expression+data/data+rna+seq/pmc12873347-258-0-10
    Average 86 stars, based on 1 article reviews
    rna seq expression data - by Bioz Stars, 2026-10
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    Images

    1) Product Images from "Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans"

    Article Title: Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans

    Journal: Communications Medicine

    doi: 10.1038/s43856-025-01335-2

    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), while RNA-seq data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
    Figure Legend Snippet: a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), while RNA-seq data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).

    Techniques Used: Expressing, Immunopeptidomics, Comparison, RNA Sequencing, Transformation Assay, Protein Array, Fluorescence

    Related Articles

    RNA Sequencing:

    Article Title: Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice
    Article Snippet: RNA-seq expression data from the Human Protein Atlas for PDZD8 and CYC1 (reference gene) in regions of the human (A), pig (B) and mouse (C) brain, presented as maximum normalized transcripts per million (max nTPM) [32].

    Article Title: Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins
    Article Snippet: RNA-seq expression data for 20,345 protein coding genes in normal colorectal, salivary gland and small intestine (i.e., jejunum and ileum) tissues was downloaded from the Human Protein Atlas (version 13), a compendium of gene and protein expression profiles in 32 tissues [ ].

    Article Title: Assessing Creatine-Related Gene Expression in Kidney Disease: Can Available Data Give Insights into an Old Discussion?
    Article Snippet: Then, using the advanced settings, we restricted the search to the integration of RNA-Seq expression data from kidney tissues using the Human Protein Atlas database.

    Article Title: BioNexusSentinel: a visual tool for bioregulatory network and cytohistological RNA-seq genetic expression profiling within the context of multicellular simulation research using ChatGPT-augmented software engineering
    Article Snippet: By connecting to bioinformatics resources such as Reactome ( Büchel et al. 2013 ), BNS could operate as a network exploration tool, whilst also being coupled to RNA-seq expression data from the Human Protein Atlas ( , Watson et al. 2022 ) (HPA).

    Expressing:

    Article Title: Autistic behavior is a common outcome of biallelic disruption of PDZD8 in humans and mice
    Article Snippet: RNA-seq expression data from the Human Protein Atlas for PDZD8 and CYC1 (reference gene) in regions of the human (A), pig (B) and mouse (C) brain, presented as maximum normalized transcripts per million (max nTPM) [32].

    Article Title: Perturbed human sub-networks by Fusobacterium nucleatum candidate virulence proteins
    Article Snippet: RNA-seq expression data for 20,345 protein coding genes in normal colorectal, salivary gland and small intestine (i.e., jejunum and ileum) tissues was downloaded from the Human Protein Atlas (version 13), a compendium of gene and protein expression profiles in 32 tissues [ ].

    Article Title: Assessing Creatine-Related Gene Expression in Kidney Disease: Can Available Data Give Insights into an Old Discussion?
    Article Snippet: Then, using the advanced settings, we restricted the search to the integration of RNA-Seq expression data from kidney tissues using the Human Protein Atlas database.

    Article Title: BioNexusSentinel: a visual tool for bioregulatory network and cytohistological RNA-seq genetic expression profiling within the context of multicellular simulation research using ChatGPT-augmented software engineering
    Article Snippet: By connecting to bioinformatics resources such as Reactome ( Büchel et al. 2013 ), BNS could operate as a network exploration tool, whilst also being coupled to RNA-seq expression data from the Human Protein Atlas ( , Watson et al. 2022 ) (HPA).



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    Human Protein Atlas rna seq expression data
    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), <t>while</t> <t>RNA-seq</t> data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
    Rna Seq Expression Data, supplied by Human Protein Atlas, used in various techniques. Bioz Stars score: 86/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    raw count matrices of gene expression in illumina short read rna-seq data  (Illumina Inc)
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    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), <t>while</t> <t>RNA-seq</t> data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
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    rna-seq expression data  (Santa Cruz Biotechnology)
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    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), <t>while</t> <t>RNA-seq</t> data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).
    Rna Seq Expression Data, supplied by Santa Cruz Biotechnology, 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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    rna sequencing rna seq expression data  (Broad Clinical Labs)
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    (A) Heatmap of differentially expressed genes <t>from</t> <t>RNA-sequencing</t> analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.
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    (A) Heatmap of differentially expressed genes <t>from</t> <t>RNA-sequencing</t> analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.
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    cross-species brain rna-seq expression data  (Human Protein Atlas)
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    (A) Heatmap of differentially expressed genes <t>from</t> <t>RNA-sequencing</t> analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.
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    rna-seq expression data  (Human Protein Atlas)
    90
    Human Protein Atlas rna-seq expression data
    (A) Heatmap of differentially expressed genes <t>from</t> <t>RNA-sequencing</t> analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.
    Rna Seq Expression Data, supplied by Human Protein Atlas, 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/rna-seq+expression+data/rna+seq/pmc11866840__13229_2025_650_MOESM2_ESM-1-0-5
    Average 90 stars, based on 1 article reviews
    rna-seq expression data - by Bioz Stars, 2026-10
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    Image Search Results


    a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), while RNA-seq data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).

    Journal: Communications Medicine

    Article Title: Autoantibody repertoire analysis in paraneoplastic pemphigus reveals novel targets linked to mucocutaneous blistering and bronchiolitis obliterans

    doi: 10.1038/s43856-025-01335-2

    Figure Lengend Snippet: a Expression of paraneoplastic pemphigus (PNP) autoantigens in diffuse large B-cell lymphoma (DLBCL), follicular lymphoma, Burkitt’s lymphoma, and HIV-positive cervical cancer. The heatmap displays the proportion of samples with expression levels exceeding 10 RPKM. In addition to PNP autoantigens, the heatmap includes reference genes such as GAPDH (housekeeping gene), KRTAP4-7 (skin-specific), CD3 epsilon (T-cell-specific), and CD19 (B-cell-specific) for comparison. Tumor RNA-sequencing summary statistics were obtained from the NIH Center for Cancer Genomics and the Cancer Genome Characterization Initiative (CGCI), while RNA-seq data for normal tissues (ectocervix, endocervix, and EBV-transformed lymphocytes) were retrieved from the GTEx portal (v6p.v1.1.8). b Autoantibody signal intensities in patients with paraneoplastic pemphigus, stratified by the type of neoplasm. Autoantibodies were measured using a bead-based protein array in patients with paraneoplastic pemphigus (PNP, n = 84) and healthy controls (HC, n = 105). c The heatmap displays the proportion of samples with an autoantibody fluorescence signal >1000, categorized by the type of neoplasm group in patients with paraneoplastic pemphigus ( n = 46). Only neoplasms present in two or more patients are included. The color scale is consistent across heatmaps ( a ) and ( c ).

    Article Snippet: RNA-seq expression data for healthy subjects were retrieved from the Human Protein Atlas version 23.0 ( https://www.proteinatlas.org/ ), accessed 2023-12-13 (rna_single_cell_type.tsv, and rna_single_cell_cluster_description.tsv), and the GTEx portal (v6p.v1.1.8), accessed 2022-12-05.

    Techniques: Expressing, Immunopeptidomics, Comparison, RNA Sequencing, Transformation Assay, Protein Array, Fluorescence

    (A) Heatmap of differentially expressed genes from RNA-sequencing analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.

    Journal: bioRxiv

    Article Title: TGF/J Regulated Small GTPase RHOV interact with PEAK1 and drive MYC Expression to Promote Cellular Proliferation, Migration and Etoposide resistance

    doi: 10.1101/2025.04.18.649622

    Figure Lengend Snippet: (A) Heatmap of differentially expressed genes from RNA-sequencing analysis of A549 cells with stable RHOV knockdown (sh1, sh2) compared to control. Consistent transcriptional alterations across both shRNAs are observed, with enrichment of MYC-related gene signatures among downregulated transcripts. (B) Gene ontology (GO) of differentially expressed genes shows significant downregulation of pathways associated with RNA biosynthesis, mRNA catabolism, ribosomal assembly, and mitotic cell cycle—all known MYC-driven processes. Upregulated pathways include DNA damage response, chromatin organization, and endocytic trafficking. Enrichment scores are represented along with q-values. (C) Gene Set Enrichment Analysis (GSEA) using Hallmark gene sets confirms strong negative enrichment of hallmark MYC target gene sets (V1 and V2) and oxidative phosphorylation genes in RHOV knockdown cells, indicating suppression of both proliferative and metabolic MYC programs. (D) Expression of MYC was compared between high and Low RHOV expressing patients in four NSCLC patients’ datasets. The expression of MYC was significantly higher in high RHOV patients (Mann-Whitney test). (E, F and G) The patients’ samples with high expression of RHOV (which show poor survival, ) from three cohort, (E) EAC, (F) Microarray and (G) TCGA were divided into two groups based on MYC expression. The analysis shows that RHOV high patients with low MYC expression survive significantly better than the RHOV high patients with high MYC expression. The p-values and Hazard ration are shown.

    Article Snippet: RNA-sequencing (RNA-seq) expression data from The Cancer Genome Atlas (TCGA) project were downloaded from the Broad Institute GDAC Firehose platform ( https://gdac.broadinstitute.org ).

    Techniques: RNA Sequencing, Knockdown, Control, Phospho-proteomics, Expressing, MANN-WHITNEY, Microarray