Cell GenomicsBioinformaticsPeer-reviewed journal article
Coordinated regulation by lncRNAs results in tight lncRNA-target couplings
Hua‐Sheng ChiuiD, Sonal Somvanshi, Chung-Te ChangiD, Eric James de Bony de Lavergne, Zhaowen Wei, Chih-Hung Hsieh, Wim TrypsteeniD, Kathleen A. Scorsone, Ektaben Patel, Tien T. TangiD, David B. FlintiD, Mohammad Javad Najaf Panah, Hyunjae Ryan KimiD, Purva RathiiD, Yan‐Hwa Wu LeeiD, Sarah E. WoodfieldiD, Sanjeev A. VasudevaniD, Andras Attila HeczeyiD, M. Waleed GaberiD, Gabriel Oliveira SawakuchiiD, Ting-Wen CheniD, Pieter MestdaghiD, Xuerui YangiD, Pavel SumaziniD
Abstract
The determination of long non-coding RNA (lncRNA) function is a major challenge in RNA biology with applications to basic, translational, and medical research [1-7]. Our efforts to improve the accuracy of lncRNA-target inference identified lncRNAs that coordinately regulate both the transcriptional and post-transcriptional processing of their targets. Namely, these lncRNAs may regulate the transcription of their target and chaperone the resulting message until its translation, leading to tightly coupled lncRNA and target abundance. Our analysis suggested that hundreds of cancer genes are coordinately and tightly regulated by lncRNAs and that this unexplored regulatory paradigm may propagate the effects of non-coding alterations to effectively dysregulate gene expression programs. As a proof-of-principle we studied the regulation of DICER1 [8, 9]--a cancer gene that controls microRNA biogenesis--by the lncRNA ZFAS1, showing that ZFAS1 activates DICER1 transcription and blocks its post-transcriptional repression to phenomimic and regulate DICER1 and its target microRNAs.
- organism: human
- assay: DNA methylation
- assay: bulk RNA-seq
- research focus: gene regulatory network inference
- research focus: differential expression
- research focus: cell type annotation
- approach: statistical model
- approach: experimental assay
- Citations
- 6
- FWCI
- 2.69
- Field percentile
- top 9%
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