ArticleGigaScience2022
A curated human cellular microRNAome based on 196 primary cell types.
Article in GigaScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Profiling miRNAs Involved in Human Oligodendrocyte Precursor Cell Differentiation and Maturation.Cells · 2026Article
- The microRNA (miRNA) signatures in different phases of the natural history of chronic hepatitis B virus infection.Scientific reports · 2026Article
- SiCmiR Atlas: Single-Cell miRNA Landscape Reveals Hub-miRNA and Network Signatures in Human Cancers.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Profiling miRNAs involved in Human Oligodendrocyte Precursor Cell Differentiation and Maturation.bioRxiv : the preprint server for biology · 2025Article
- Half of annotated human microRNAs are expressed at levels of questionable biological significance.iScience · 2025Article
- Cellular miRNAs and viruses: trends in miRNA sequestering and target de-repression.Journal of virology · 2025Review
- miRglmm: a generalized linear mixed model of isomiR-level counts improves estimation of miRNA-level differential expression and uncovers variable differential expression between isomiRs.Genome biology · 2025Article
- A role for astrocytic miR-129-5p in frontotemporal dementia.Translational psychiatry · 2025Article
- Beyond the Bubble: A Debate on microRNA Sorting Into Extracellular Vesicles.Laboratory investigation; a journal of technical methods and pathology · 2025Review
- MirGeneDB 3.0: improved taxonomic sampling, uniform nomenclature of novel conserved microRNA families and updated covariance models.Nucleic acids research · 2025Article
- SCancerRNA: Expression at the Single-cell Level and Interaction Resource of Non-coding RNA Biomarkers for Cancers.Genomics, proteomics & bioinformatics · 2024Article
- Circulating microRNAs targeting coagulation and fibrinolysis in patients with severe COVID-19.Thrombosis journal · 2024Article
- Characterizing expression changes in noncoding RNAs during aging and heterochronic parabiosis across mouse tissues.Nature biotechnology · 2024Article
- Skin treatment with non-thermal plasma modulates the immune system through miR-223-3p and its target genes.RNA biology · 2024Article
- miEAA 2023: updates, new functional microRNA sets and improved enrichment visualizations.Nucleic acids research · 2023Article
- Expression Microdissection for the Analysis of miRNA in a Single-Cell Type.Laboratory investigation; a journal of technical methods and pathology · 2023Article
- Direct observation of the evolution of cell-type-specific microRNA expression signatures supports the hematopoietic origin model of endothelial cells.Evolution & development · 2023Article
- isomiRdb: microRNA expression at isoform resolution.Nucleic acids research · 2023Article
- Advances in AAV technology for delivering genetically encoded cargo to the nonhuman primate nervous system.Current research in neurobiology · 2023Review
- Comparative microRNA profiling ofFrontiers in cellular and infection microbiology · 2023Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundAn incomplete picture of the expression distribution of microRNAs (miRNAs) across human cell types has long hindered our understanding of this important regulatory class of RNA. With the continued increase in available public small RNA sequencing datasets, there is an opportunity to more fully understand the general distribution of miRNAs at the cell level.
resultsFrom the NCBI Sequence Read Archive, we obtained 6,054 human primary cell datasets and processed 4,184 of them through the miRge3.0 small RNA sequencing alignment software. This dataset was curated down, through shared miRNA expression patterns, to 2,077 samples from 196 unique cell types derived from 175 separate studies. Of 2,731 putative miRNAs listed in miRBase (v22.1), 2,452 (89.8%) were detected. Among reasonably expressed miRNAs, 108 were designated as cell specific/near specific, 59 as infrequent, 52 as frequent, 54 as near ubiquitous, and 50 as ubiquitous. The complexity of cellular microRNA expression estimates recapitulates tissue expression patterns and informs on the miRNA composition of plasma.
conclusionsThis study represents the most complete reference, to date, of miRNA expression patterns by primary cell type. The data are available through the human cellular microRNAome track at the UCSC Genome Browser (https://genome.ucsc.edu/cgi-bin/hgHubConnect) and an R/Bioconductor package (https://bioconductor.org/packages/microRNAome/).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.