A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.
Clicks: 305
ID: 40423
2019
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This
article has not been analysed, so there is no overall score —
reader engagement is measured and shown alongside.
Reader Engagement
Popular Article
82.3
/100
305 views
249 readers
Trending
AI Quality Assessment
Not analyzed
Readership in this journal
PopularRanked #31 of 72 articles by views in Cell
Most read
Least read
Bar heights use a square-root scale.
Mint this article as an NFT
Not yet mintedCreate a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.
5
SUSD
one-off · no wallet required
Abstract
Most human protein-coding genes are regulated by multiple, distinct promoters, suggesting that the choice of promoter is as important as its level of transcriptional activity. However, while a global change in transcription is recognized as a defining feature of cancer, the contribution of alternative promoters still remains largely unexplored. Here, we infer active promoters using RNA-seq data from 18,468 cancer and normal samples, demonstrating that alternative promoters are a major contributor to context-specific regulation of transcription. We find that promoters are deregulated across tissues, cancer types, and patients, affecting known cancer genes and novel candidates. For genes with independently regulated promoters, we demonstrate that promoter activity provides a more accurate predictor of patient survival than gene expression. Our study suggests that a dynamic landscape of active promoters shapes the cancer transcriptome, opening new diagnostic avenues and opportunities to further explore the interplay of regulatory mechanisms with transcriptional aberrations in cancer.
| Reference Key |
demircioglu2019acell
Use this key to autocite in the manuscript while using
SciMatic Manuscript Manager or Thesis Manager
|
|---|---|
| Authors | Demircioğlu, Deniz;Cukuroglu, Engin;Kindermans, Martin;Nandi, Tannistha;Calabrese, Claudia;Fonseca, Nuno A;Kahles, André;Lehmann, Kjong-Van;Stegle, Oliver;Brazma, Alvis;Brooks, Angela N;Rätsch, Gunnar;Tan, Patrick;Göke, Jonathan; |
| Journal | Cell |
| Year | 2019 |
| DOI |
S0092-8674(19)30906-7
|
| URL | |
| Keywords | Keywords not found |
Citations
No citations found. To add a citation, contact the admin at info@scimatic.org
Comments
No comments yet. Be the first to comment on this article.