4.7 Article

Toward the human cellular microRNAome

期刊

GENOME RESEARCH
卷 27, 期 10, 页码 1769-1781

出版社

COLD SPRING HARBOR LAB PRESS, PUBLICATIONS DEPT
DOI: 10.1101/gr.222067.117

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资金

  1. American Heart Association [13GRNT16420015]
  2. National Institutes of Health (NIH) Cancer Center Support Grant, at the Laura and Isaac Perlmutter Cancer Center [P30CA016087]
  3. NCI's Clinical Proteomic Tumor Analysis Consortium initiative (NIH Grants) [U24CA160036, U24CA210985]
  4. National Fund for Scientific and Technological Development, Government of Chile [FONDECYT 1151008]
  5. NIH [R00HG006853, R01GM083084, UL1TR002001]
  6. NIH/NINDS [NS67525, NS37388]
  7. [MSCRFII-0429]
  8. [MSCRFII-0125]
  9. [MSCRF-0054]
  10. [MSCRF-0665]

向作者/读者索取更多资源

MicroRNAs are short RNAs that serve as regulators of gene expression and are essential components of normal development as well as modulators of disease. MicroRNAs generally act cell-autonomously, and thus their localization to specific cell types is needed to guide our understanding of microRNA activity. Current tissue-level data have caused considerable confusion, and comprehensive cell-level data do not yet exist. Here, we establish the landscape of human cell-specific microRNA expression. This project evaluated 8 billion small RNA-seq reads from 46 primary cell types, 42 cancer or immortalized cell lines, and 26 tissues. It identified both specific and ubiquitous patterns of expression that strongly correlate with adjacent superenhancer activity. Analysis of unaligned RNA reads uncovered 207 unknown minor strand ( passenger) microRNAs of known microRNA loci and 495 novel putative microRNA loci. Although cancer cell lines generally recapitulated the expression patterns of matched primary cells, their isomiR sequence families exhibited increased disorder, suggesting DROSHA-and DICER1-dependent microRNA processing variability. Cell-specific patterns of microRNA expression were used to de-convolute variable cellular composition of colon and adipose tissue samples, highlighting one use of these cell-specific microRNA expression data. Characterization of cellular microRNA expression across a wide variety of cell types provides a new understanding of this critical regulatory RNA species.

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