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whole transcriptome rna sequencing data  (Biotechnology Information)

 
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    Biotechnology Information whole transcriptome rna sequencing data
    Whole Transcriptome Rna Sequencing Data, supplied by Biotechnology Information, 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/transcriptomic+sequencing+data/data+rna+seq+%E2%80%A2/pmc13194572-323-0-22
    Average 86 stars, based on 1 article reviews
    whole transcriptome rna sequencing data - by Bioz Stars, 2026-09
    86/100 stars

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    Related Articles

    Sequencing:

    Article Title: CHIP ameliorates nonalcoholic fatty liver disease via promoting K63- and K27-linked STX17 ubiquitination to facilitate autophagosome-lysosome fusion
    Article Snippet: .. The transcriptomic sequencing data are available through the National Center for Biotechnology Information Sequence Read Archive (SRA) under accession code PRJNA1137118 . are provided with this paper. ..

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy.
    Article Snippet: .. Data Availability Statement: The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy
    Article Snippet: This study was supported by the National Natural Science Foundation of China [32360901, 32060133], Xinjiang Corps Guiding Science and Technology Plan Project [2023ZD041, 2023ZD042], and the Natural Science Foundation of Xinjiang [2023LQ03003, 2022D01B197]. .. The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Article Title: The interplay between intestinal lipid metabolism and immune response following dietary transition in mandarin fish (Siniperca chuatsi)
    Article Snippet: .. The raw transcriptomic sequencing data have been deposited in the National Center for Biotechnology Information (NCBI) database under the accession number PRJNA1291933. .. Cytoscape software (version 3.10.0; Cytoscape Consortium, San Diego, CA, USA) was used to explore protein-protein interactions of differentially expressed genes through the STRING database (version 12.0; EMBL, Heidelberg, Germany) and visualize the interaction networks.

    Methylation Sequencing:

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy.
    Article Snippet: .. Data Availability Statement: The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy
    Article Snippet: This study was supported by the National Natural Science Foundation of China [32360901, 32060133], Xinjiang Corps Guiding Science and Technology Plan Project [2023ZD041, 2023ZD042], and the Natural Science Foundation of Xinjiang [2023LQ03003, 2022D01B197]. .. The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Generated:

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy.
    Article Snippet: .. Data Availability Statement: The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy
    Article Snippet: This study was supported by the National Natural Science Foundation of China [32360901, 32060133], Xinjiang Corps Guiding Science and Technology Plan Project [2023ZD041, 2023ZD042], and the Natural Science Foundation of Xinjiang [2023LQ03003, 2022D01B197]. .. The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Gene Expression:

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy.
    Article Snippet: .. Data Availability Statement: The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..

    Article Title: Integrated analysis of DNA methylation and gene expression in dairy cows during early pregnancy
    Article Snippet: This study was supported by the National Natural Science Foundation of China [32360901, 32060133], Xinjiang Corps Guiding Science and Technology Plan Project [2023ZD041, 2023ZD042], and the Natural Science Foundation of Xinjiang [2023LQ03003, 2022D01B197]. .. The raw Reduced Representation Bisulfite Sequencing (RRBS) and transcriptomic sequencing data generated in this study have been deposited in the National Center for Biotechnology Information (NCBI) Gene Expression Omnibus (GEO) database under the accession numbers GSE274885 (RRBS data) and GSE274986 (transcriptomic data), which are publicly accessible at https://www.ncbi.nlm.nih.gov/geo/. ..



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    Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and <t>transcriptomic</t> profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.
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    Image Search Results


    Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and transcriptomic profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.

    Journal: Frontiers in Immunology

    Article Title: Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation

    doi: 10.3389/fimmu.2026.1739660

    Figure Lengend Snippet: Identification of core genes associated with macrophage immune training and heart failure. (A) Schematic overview of human-derived macrophage trained immunity model and transcriptomic profiling workflow ( GSE235897 ). (B) The volcano plot and (C) DEGs heatmap of hMDMs from trained (n=3) and untrained (n=3) samples in the macrophage-trained immunity dataset GSE235897 (|log2FC| ≥ 0.585, p < 0.05). (D) Sample clustering dendrogram of GSE135055 dataset based on gene expression profiles. (E) Scale-free topology fit index and (F) mean connectivity analysis across a range of soft-thresholding powers. (G) Cluster dendrogram of genes showing co-expression modules identified by WGCNA in database GSE135055 . (H) Module-trait heatmap values represent correlation coefficients between healthy controls and HF samples (* p < 0.05, ** p < 0.01). (I) Venn diagram showing the overlap among heart failure DEGs, trained-immunity DEGs, and WGCNA module genes.

    Article Snippet: For single-cell transcriptomic data, we accessed the SCP1303 project from the Broad Institute ( https://singlecell.broadinstitute.org/single_cell ), which includes raw scRNA-seq data from failing human hearts with dilated and hypertrophic cardiomyopathy.

    Techniques: Derivative Assay, Gene Expression, Expressing

    Five heart failure transcriptomic datasets were integrated with a macrophage-trained immunity model to identify immune-related biomarkers. Through DEGs analysis, WGCNA, CIBERSORT, and six machine learning algorithms, hub genes were prioritized with MTURN emerging as the top candidate. Its potential was further validated by scRNA-seq analysis, which confirmed MTURN enrichment in cardiac macrophages. Finally, MTURN expression was validated using previously published heart failure transcriptomic data and in vitro experiments.

    Journal: Frontiers in Immunology

    Article Title: Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation

    doi: 10.3389/fimmu.2026.1739660

    Figure Lengend Snippet: Five heart failure transcriptomic datasets were integrated with a macrophage-trained immunity model to identify immune-related biomarkers. Through DEGs analysis, WGCNA, CIBERSORT, and six machine learning algorithms, hub genes were prioritized with MTURN emerging as the top candidate. Its potential was further validated by scRNA-seq analysis, which confirmed MTURN enrichment in cardiac macrophages. Finally, MTURN expression was validated using previously published heart failure transcriptomic data and in vitro experiments.

    Article Snippet: For single-cell transcriptomic data, we accessed the SCP1303 project from the Broad Institute ( https://singlecell.broadinstitute.org/single_cell ), which includes raw scRNA-seq data from failing human hearts with dilated and hypertrophic cardiomyopathy.

    Techniques: Expressing, In Vitro