Review



bulk transcriptomic data  (Human Protein Atlas)

 
  • Logo
  • About
  • News
  • Press Release
  • Team
  • Advisors
  • Partners
  • Contact
  • Bioz Stars
  • Bioz vStars
    • 90
      Buy from Supplier

    Structured Review

    Human Protein Atlas bulk transcriptomic data
    Bulk Transcriptomic 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/bulk+transcriptomics+data/transcriptomic+data/pmc10933257-155-12-18
    Average 90 stars, based on 1 article reviews
    bulk transcriptomic data - by Bioz Stars, 2026-11
    90/100 stars

    Images

    Related Articles

    other:

    Article Title: Methuosis key gene ARF6 as a diagnostic, prognostic and immunotherapeutic marker for prostate cancer: based on a comprehensive pan-cancer multi-omics analysis
    Article Snippet: This study utilized transcriptome data from the Human Protein Atlas (HPA) v23.0 ( http://www.proteinatlas.org ) and Genotype-Tissue Expression (GTEx) v8 (dbGaP Accession: phs000424.v8.p2) databases.

    Article Title: The fundamentals of WNT10A
    Article Snippet: WNT10A expression is detected in the basal ganglia, cerebral cortex, hippocampal formation, thalamus and to lesser levels in the amygdala, hypothalamus, midbrain, pons, cerebellum, medulla oblongata, spinal cord, white matter, and choroid plexus (as derived from a consensus dataset combining transcriptomic data from The Human Protein Atlas (HPA, version 23.0) and The Genotype-Tissue Expression (GTEx) project).

    Article Title: Methuosis key gene ARF6 as a diagnostic, prognostic and immunotherapeutic marker for prostate cancer: based on a comprehensive pan-cancer multi-omics analysis.
    Article Snippet: This study utilized transcriptome data from the Human Protein Atlas (HPA) v23.0 (http:// www. prote inatl as. org) and Genotype-Tissue Expression (GTEx) v8 (dbGaP Accession: phs000424.v8.p2) databases.

    Expressing:

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain—Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [ ]. ..

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain-Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam.
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [22]. ..

    Article Title: Intrinsic/proximal cell surface marker logic-gated extracellular targeted protein degradation in specific cell population.
    Article Snippet: Biotechnology and Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center at Medical School of Nanjing University, Nanjing 210061, China; 4Department of Rheumatology and Immunology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, China; 5Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; 6College of Life Sciences, Nanjing Medical

    RNA In Situ Hybridization:

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain—Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [ ]. ..

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain-Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam.
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [22]. ..

    In Situ Hybridization:

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain—Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [ ]. ..

    Article Title: Distribution of NECAB1-Positive Neurons in Normal and Epileptic Brain-Expression Changes in Temporal Lobe Epilepsy and Modulation by Levetiracetam and Brivaracetam.
    Article Snippet: .. Expression patterns observed in this study closely resemble regional expression levels described in transcriptomic data from the Human Protein Atlas and RNA in situ hybridization (ISH) data from the Allen Mouse Brain Atlas for the selected CaBP genes [22]. ..

    Transcriptomics:

    Article Title: Intrinsic/proximal cell surface marker logic-gated extracellular targeted protein degradation in specific cell population.
    Article Snippet: Biotechnology and Jiangsu Key Laboratory of Molecular Medicine, Model Animal Research Center at Medical School of Nanjing University, Nanjing 210061, China; 4Department of Rheumatology and Immunology, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing 210002, China; 5Laboratory of Pancreatic Disease, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310058, China; 6College of Life Sciences, Nanjing Medical



    Similar Products

    bulk transcriptomics data  (Human Protein Atlas)
    86
    Human Protein Atlas bulk transcriptomics data
    The expression, functions, and characteristics of the FT-elevated transcriptome. (A) Bulk <t>transcriptomics</t> data of FT tissue were used to select genes with different specificity to FT based on RNA categories retrieved from the HPA. In total, 310 genes were elevated in FT and antibodies targeting 133 proteins were identified for further analysis in the current study based on stringent antibody validation criteria. (B) RNA specificity for the 310 genes elevated in FT and the tissue and cell types with the highest expression of each gene are presented in an alluvial plot (C) GO enrichment analysis for all FT-elevated genes. GO term enrichment was assessed using an over-representation test with Benjamini–Hochberg correction for multiple testing. Terms with adjusted p-values < 0.01 were considered significant.
    Bulk Transcriptomics 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/bulk+transcriptomics+data/bulk+data+transcriptomics/bio_rxiv__64898__2026__03__14__711768-36-0-6
    Average 86 stars, based on 1 article reviews
    bulk transcriptomics data - by Bioz Stars, 2026-11
    86/100 stars
    		  Buy from Supplier
    bulk transcriptome data  (Mendeley Ltd)
    86
    Mendeley Ltd bulk transcriptome data
    The expression, functions, and characteristics of the FT-elevated transcriptome. (A) Bulk <t>transcriptomics</t> data of FT tissue were used to select genes with different specificity to FT based on RNA categories retrieved from the HPA. In total, 310 genes were elevated in FT and antibodies targeting 133 proteins were identified for further analysis in the current study based on stringent antibody validation criteria. (B) RNA specificity for the 310 genes elevated in FT and the tissue and cell types with the highest expression of each gene are presented in an alluvial plot (C) GO enrichment analysis for all FT-elevated genes. GO term enrichment was assessed using an over-representation test with Benjamini–Hochberg correction for multiple testing. Terms with adjusted p-values < 0.01 were considered significant.
    Bulk Transcriptome Data, supplied by Mendeley Ltd, 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/bulk+transcriptomics+data/bulk+data+transcriptome/pm41714703-408-1-7
    Average 86 stars, based on 1 article reviews
    bulk transcriptome data - by Bioz Stars, 2026-11
    86/100 stars
    		  Buy from Supplier
    raw bulk transcriptome counts data and clinicopathological information of colon adenocarcinoma (coad) and rectum adenocarcinoma (read)  (Santa Cruz Biotechnology)
    90
    Santa Cruz Biotechnology raw bulk transcriptome counts data and clinicopathological information of colon adenocarcinoma (coad) and rectum adenocarcinoma (read)
    The expression, functions, and characteristics of the FT-elevated transcriptome. (A) Bulk <t>transcriptomics</t> data of FT tissue were used to select genes with different specificity to FT based on RNA categories retrieved from the HPA. In total, 310 genes were elevated in FT and antibodies targeting 133 proteins were identified for further analysis in the current study based on stringent antibody validation criteria. (B) RNA specificity for the 310 genes elevated in FT and the tissue and cell types with the highest expression of each gene are presented in an alluvial plot (C) GO enrichment analysis for all FT-elevated genes. GO term enrichment was assessed using an over-representation test with Benjamini–Hochberg correction for multiple testing. Terms with adjusted p-values < 0.01 were considered significant.
    Raw Bulk Transcriptome Counts Data And Clinicopathological Information Of Colon Adenocarcinoma (Coad) And Rectum Adenocarcinoma (Read), 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
    https://www.bioz.com/product/bulk+transcriptomics+data/raw+bulk+transcriptome+counts+data+and+clinicopathological+information+of+colon+adenocarcinoma++coad++and+rectum+adenocarcinoma++read+/pmc11335547-39-2-27
    Average 90 stars, based on 1 article reviews
    raw bulk transcriptome counts data and clinicopathological information of colon adenocarcinoma (coad) and rectum adenocarcinoma (read) - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    bulk whole blood transcriptomics data illumina hiseq2000  (Illumina Inc)
    90
    Illumina Inc bulk whole blood transcriptomics data illumina hiseq2000
    A. Superscores plot based on multi-omics (metabolomics, proteomics, and <t>transcriptomics)</t> pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .
    Bulk Whole Blood Transcriptomics Data Illumina Hiseq2000, supplied by Illumina 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/bulk+transcriptomics+data/sequencing+platform/pmc10994553-242-19-24
    Average 90 stars, based on 1 article reviews
    bulk whole blood transcriptomics data illumina hiseq2000 - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    bulk transcriptomic data  (Human Protein Atlas)
    90
    Human Protein Atlas bulk transcriptomic data
    A. Superscores plot based on multi-omics (metabolomics, proteomics, and <t>transcriptomics)</t> pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .
    Bulk Transcriptomic 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/bulk+transcriptomics+data/transcriptomic+data/pmc10933257-155-12-18
    Average 90 stars, based on 1 article reviews
    bulk transcriptomic data - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    bulk transcriptome data  (Biotechnology Information)
    90
    Biotechnology Information bulk transcriptome data
    A. Superscores plot based on multi-omics (metabolomics, proteomics, and <t>transcriptomics)</t> pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .
    Bulk Transcriptome Data, supplied by Biotechnology Information, 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/bulk+transcriptomics+data/raw+transcriptome+data/pmc10693608__41467_2023_43758_MOESM7_ESM-32-8-20
    Average 90 stars, based on 1 article reviews
    bulk transcriptome data - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier
    bulk transcriptomic data  (Broad Institute Inc)
    90
    Broad Institute Inc bulk transcriptomic data
    A. Superscores plot based on multi-omics (metabolomics, proteomics, and <t>transcriptomics)</t> pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .
    Bulk Transcriptomic Data, 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/bulk+transcriptomics+data/transcriptome+data/pmc08971486__41467_2022_29358_MOESM2_ESM-360-5-25
    Average 90 stars, based on 1 article reviews
    bulk transcriptomic data - by Bioz Stars, 2026-11
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    The expression, functions, and characteristics of the FT-elevated transcriptome. (A) Bulk transcriptomics data of FT tissue were used to select genes with different specificity to FT based on RNA categories retrieved from the HPA. In total, 310 genes were elevated in FT and antibodies targeting 133 proteins were identified for further analysis in the current study based on stringent antibody validation criteria. (B) RNA specificity for the 310 genes elevated in FT and the tissue and cell types with the highest expression of each gene are presented in an alluvial plot (C) GO enrichment analysis for all FT-elevated genes. GO term enrichment was assessed using an over-representation test with Benjamini–Hochberg correction for multiple testing. Terms with adjusted p-values < 0.01 were considered significant.

    Journal: bioRxiv

    Article Title: A high-resolution spatial map of cilia-associated proteins in the human fallopian tube

    doi: 10.64898/2026.03.14.711768

    Figure Lengend Snippet: The expression, functions, and characteristics of the FT-elevated transcriptome. (A) Bulk transcriptomics data of FT tissue were used to select genes with different specificity to FT based on RNA categories retrieved from the HPA. In total, 310 genes were elevated in FT and antibodies targeting 133 proteins were identified for further analysis in the current study based on stringent antibody validation criteria. (B) RNA specificity for the 310 genes elevated in FT and the tissue and cell types with the highest expression of each gene are presented in an alluvial plot (C) GO enrichment analysis for all FT-elevated genes. GO term enrichment was assessed using an over-representation test with Benjamini–Hochberg correction for multiple testing. Terms with adjusted p-values < 0.01 were considered significant.

    Article Snippet: Bulk transcriptomics data, derived from the Human Protein Atlas (HPA) resource , identified 310 genes with an elevated expression in human FT compared to other tissues and organs in the human body, of which a majority were found to be associated with the structure and function of motile cilia.

    Techniques: Expressing, Transcriptomics, Biomarker Discovery

    A. Superscores plot based on multi-omics (metabolomics, proteomics, and transcriptomics) pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .

    Journal: PLOS Computational Biology

    Article Title: PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration

    doi: 10.1371/journal.pcbi.1011814

    Figure Lengend Snippet: A. Superscores plot based on multi-omics (metabolomics, proteomics, and transcriptomics) pathways across four latent variables. B. Omics view importances across latent variables. Values represent mean and SEM across 100 bootstrap samples. C. Top five pathways per omics block. D. Top 15 pathways across omics blocks categorised by Reactome parent pathway. E. kPCA ssPA scores from top 15 pathways used to cluster samples using Euclidean distance and Ward linkage. F. Heatmap showing Spearman correlation between superscores across four latent variables and clinical metadata. Asterisks indicate Bonferroni p-value ≤ 0.05. Definitions of clinical variables are in Table B in .

    Article Snippet: We integrated COPDgene Phase 2 (~5 years after baseline) plasma metabolomics (Metabolon UHPLC-MS/MS), plasma proteomics (SOMAscan 1.3k assay), and bulk whole blood transcriptomics data (Illumina HiSeq2000) from 522 samples which had data for all three omics.

    Techniques: Biomarker Discovery, Blocking Assay

    Number of Reactome/KEGG pathways accessible in COPDgene and COVID-19 multi-omics datasets.

    Journal: PLOS Computational Biology

    Article Title: PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration

    doi: 10.1371/journal.pcbi.1011814

    Figure Lengend Snippet: Number of Reactome/KEGG pathways accessible in COPDgene and COVID-19 multi-omics datasets.

    Article Snippet: We integrated COPDgene Phase 2 (~5 years after baseline) plasma metabolomics (Metabolon UHPLC-MS/MS), plasma proteomics (SOMAscan 1.3k assay), and bulk whole blood transcriptomics data (Illumina HiSeq2000) from 522 samples which had data for all three omics.

    Techniques: Biomarker Discovery

    Performance comparison of PathIntegrate Multi-View using pathways versus using the molecular-level COPDgene dataset (mean AUC and 95% CI, as well as the number of latent variables (LV) used). In both pathway and molecular-level scenarios the model was used to predict binary COPD status. The molecular-level model was fit both with all molecules available in the datasets, as well as only those mapping to pathways. AUC values are averaged across 5-times repeated 5-fold cross validation.

    Journal: PLOS Computational Biology

    Article Title: PathIntegrate: Multivariate modelling approaches for pathway-based multi-omics data integration

    doi: 10.1371/journal.pcbi.1011814

    Figure Lengend Snippet: Performance comparison of PathIntegrate Multi-View using pathways versus using the molecular-level COPDgene dataset (mean AUC and 95% CI, as well as the number of latent variables (LV) used). In both pathway and molecular-level scenarios the model was used to predict binary COPD status. The molecular-level model was fit both with all molecules available in the datasets, as well as only those mapping to pathways. AUC values are averaged across 5-times repeated 5-fold cross validation.

    Article Snippet: We integrated COPDgene Phase 2 (~5 years after baseline) plasma metabolomics (Metabolon UHPLC-MS/MS), plasma proteomics (SOMAscan 1.3k assay), and bulk whole blood transcriptomics data (Illumina HiSeq2000) from 522 samples which had data for all three omics.

    Techniques: Comparison, Biomarker Discovery