Please use this identifier to cite or link to this item: doi:10.22028/D291-44342
Title: miRNATissueAtlas 2025: an update to the uniformly processed and annotated human and mouse non-coding RNA tissue atlas
Author(s): Rishik, Shusruto
Hirsch, Pascal
Grandke, Friederike
Fehlmann, Tobias
Keller, Andreas
Language: English
Title: Nucleic Acids Research
Volume: 53 (2025)
Issue: D1
Pages: D129-D137
Publisher/Platform: Oxford University Press
Year of Publication: 2024
DDC notations: 610 Medicine and health
Publikation type: Journal Article
Abstract: MiRNAs represent a non-coding RNA class that regulate gene expression and pathways. While miRNAs are evolutionary conserved most data stems from Homo sapiens and Mus musculus. As miRNA expression is highly tissue specific, we developed miRNATissueAtlas to comprehensively explore this landscape in H. sapiens. We expanded the H. sapiens tissue repertoire and included M. musculus. In past years, the number of public miRNA expression datasets has grown substantially. Our previous releases of the miRNATissueAtlas represent a great framework for a uniformly pre-processed and label-harmonized resource containing information on these datasets. We incorporate the respective data in the newest release, miRNATissueAtlas 2025, which contains expressions from 9 classes of ncRNA from 799 billion reads across 61 593 samples for H. sapiens and M. musculus. The number of organs and tissues has increased from 28 and 54 to 74 and 373, respectively. This number includes physiological tissues, cell lines and extracellular vesicles. New tissue specificity index calculations build atop the knowledge of previous iterations. Calculations from cell lines enable comparison with physiological tissues, providing a valuable resource for translational research. Finally, between H. sapiens and M. musculus, 35 organs overlap, allowing cross-species comparisons. The updated miRNATissueAtlas 2025 is available at https://www.ccb.uni-saarland.de/tissueatlas2025.
DOI of the first publication: 10.1093/nar/gkae1036
URL of the first publication: https://doi.org/10.1093/nar/gkae1036
Link to this record: urn:nbn:de:bsz:291--ds-443428
hdl:20.500.11880/39624
http://dx.doi.org/10.22028/D291-44342
ISSN: 1362-4962
0305-1048
Date of registration: 11-Feb-2025
Description of the related object: Supplementary data
Related object: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/nar/53/D1/10.1093_nar_gkae1036/1/gkae1036_supplemental_file.pdf?Expires=1742289421&Signature=DqxaGOT211JeR3CBzzIRFBBi0aZa1O3TM8JSB8xAt-SloqIMQrf9-UlN2AjL7XraWaD-OxHFUlx7B3WXREqRvOs25Hx9YZSt292xJ0DIbcflnEckPDMK9LUh6PCb3n4llREwaS7rsbGnG9I0qgOrZzdWszqxHP1fI6c0ustFCO19MXVNArUkJPs77WHd8i50VN~iOjxWtCKokbTSK3x1ZZrpNY~d-1nnfI~LXebrQrwAPae3-DdIaxkENK7kN~jUrWWZ295gvaqn47k7Yv66R2uAQf7F7L5uLwPjdniQ6Q~Rov-5nnFQfNeOydQ9y2ZMJ8v2-eyGXzOUHx1V1X2SPQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA
Faculty: M - Medizinische Fakultät
Department: M - Medizinische Biometrie, Epidemiologie und medizinische Informatik
Professorship: M - Univ.-Prof. Dr. Andreas Keller
Collections:SciDok - Der Wissenschaftsserver der Universität des Saarlandes

Files for this record:
File Description SizeFormat 
gkae1036.pdf5,29 MBAdobe PDFView/Open


This item is licensed under a Creative Commons License Creative Commons