Integrated genomic analysis reveals key features of long undecoded transcript isoform-based gene repression

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Integrated genomic analysis reveals key features of long undecoded transcript isoform-based gene repression
Title:
Integrated genomic analysis reveals key features of long undecoded transcript isoform-based gene repression
Journal Title:
Molecular Cell
Keywords:
Publication Date:
06 April 2021
Citation:
Molecular Cell, Volume 81, Issue 10, 2231 - 2245.e11
Abstract:
Long undecoded transcript isoforms (LUTIs) represent a class of non-canonical mRNAs that downregulate gene expression through the combined act of transcriptional and translational repression. While single gene studies revealed important aspects of LUTI-based repression, how these features affect gene regulation on a global scale is unknown. Using transcript leader and direct RNA sequencing, here, we identify 74 LUTI candidates that are specifically induced in meiotic prophase. Translational repression of these candidates appears to be ubiquitous and is dependent on upstream open reading frames. However, LUTI-based transcriptional repression is variable. In only 50% of the cases, LUTI transcription causes downregulation of the protein-coding transcript isoform. Higher LUTI expression, enrichment of histone 3 lysine 36 trimethylation, and changes in nucleosome position are the strongest predictors of LUTI-based transcriptional repression. We conclude that LUTIs downregulate gene expression in a manner that integrates translational repression, chromatin state changes, and the magnitude of LUTI expression.
License type:
Attribution 4.0 International (CC BY 4.0)
Funding Info:
This research/projected is supported by funds from the Curci Foundation, the Pew Charitable Trusts (00027344), and the National Institutes of Health (NIH, DP2 AG055946-01 and R01 GM140005), the Francis Crick Institute, which receives its core funding from Cancer Research UK (FC001203), the UK Medical Research Council (FC001203), the Wellcome Trust (FC001203), A∗STAR scholarship, and NIH F31HD103399 fellowship.
Description:
ISSN:
1097-2765