cell transcriptomic data (Broad Clinical Labs)
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Broad Clinical Labs
cell transcriptomic data
Cell Transcriptomic Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 891 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/transcriptomic+sequencing+data/Single+Cell+Sequencing/pmc12957145-38-1-11
Average 96 stars, based on 891 article reviews
Cell Transcriptomic Data, supplied by Broad Clinical Labs, used in various techniques. Bioz Stars score: 96/100, based on 891 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/transcriptomic+sequencing+data/Single+Cell+Sequencing/pmc12957145-38-1-11
Average 96 stars, based on 891 article reviews
cell transcriptomic data - by Bioz Stars,
2026-10
96/100 stars
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1) Product Images from "Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation"
Article Title: Identification of MTURN as a trained immunity-related biomarker for heart failure via integrative transcriptomic machine learning analysis and experimental validation
Journal: Frontiers in Immunology
doi: 10.3389/fimmu.2026.1739660
Figure Legend 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.
Techniques Used: Derivative Assay, Gene Expression, Expressing
Figure Legend 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.
Techniques Used: Expressing, In Vitro
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