A mouse tissue atlas of small noncoding RNA

• Published in: Proceedings of the National Academy of Sciences - PNAS Vol. 117; no. 41; pp. 25634 - 25645
• Main Authors: Isakova, Alina, Fehlmann, Tobias, Keller, Andreas, Quake, Stephen R.
• Format: Journal Article
• Language: English
• Published: Washington National Academy of Sciences 13.10.2020
• Subjects: Biological activity; Biological Sciences; Brain; Chromatin; Fragments; MicroRNAs; miRNA; Non-coding RNA; Nucleoli; Ribonucleic acid; RNA; Sexual dimorphism; snoRNA; snRNA; Tissues; Transfer RNA; tRNA
• ISSN: 0027-8424; 1091-6490; 1091-6490
• DOI: 10.1073/pnas.2002277117

Small noncoding RNAs (ncRNAs) play a vital role in a broad range of biological processes both in health and disease. A comprehensive quantitative reference of small ncRNA expression would significantly advance our understanding of ncRNA roles in shaping tissue functions. Here, we systematically profiled the levels of five ncRNA classes (microRNA [miRNA], small nucleolar RNA [snoRNA], small nuclear RNA [snRNA], small Cajal body-specific RNA [scaRNA], and transfer RNA [tRNA] fragments) across 11 mouse tissues by deep sequencing. Using 14 biological replicates spanning both sexes, we identified that ∼30% of small ncRNAs are distributed across the body in a tissue-specific manner with some also being sexually dimorphic. We found that some miRNAs are subject to “arm switching” between healthy tissues and that tRNA fragments are retained within tissues in both a gene- and a tissue-specific manner. Out of 11 profiled tissues, we confirmed that brain contains the largest number of unique small ncRNA transcripts, some of which were previously annotated while others are identified in this study. Furthermore, by combining these findings with single-cell chromatin accessibility (scATAC-seq) data, we were able to connect identified brain-specific ncRNAs with their cell types of origin. These results yield the most comprehensive characterization of specific and ubiquitous small RNAs in individual murine tissues to date, and we expect that these data will be a resource for the further identification of ncRNAs involved in tissue function in health and dysfunction in disease.