Literature DB >> 31491388

A Pan-cancer Transcriptome Analysis Reveals Pervasive Regulation through Alternative Promoters.

Deniz Demircioğlu1, Engin Cukuroglu2, Martin Kindermans2, Tannistha Nandi2, Claudia Calabrese3, Nuno A Fonseca4, André Kahles5, Kjong-Van Lehmann6, Oliver Stegle7, Alvis Brazma8, Angela N Brooks9, Gunnar Rätsch10, Patrick Tan11, Jonathan Göke12.   

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.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  RNA sequencing; TCGA; alternative promoters; cancer; computational biology; gene expression; genomics; survival analysis; transcriptional regulation; transcriptomics

Mesh:

Year:  2019        PMID: 31491388     DOI: 10.1016/j.cell.2019.08.018

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


  55 in total

Review 1.  Genetic and non-genetic clonal diversity in cancer evolution.

Authors:  James R M Black; Nicholas McGranahan
Journal:  Nat Rev Cancer       Date:  2021-03-16       Impact factor: 60.716

2.  Genomic basis for RNA alterations in cancer.

Authors:  Claudia Calabrese; Natalie R Davidson; Deniz Demircioğlu; Nuno A Fonseca; Yao He; André Kahles; Kjong-Van Lehmann; Fenglin Liu; Yuichi Shiraishi; Cameron M Soulette; Lara Urban; Liliana Greger; Siliang Li; Dongbing Liu; Marc D Perry; Qian Xiang; Fan Zhang; Junjun Zhang; Peter Bailey; Serap Erkek; Katherine A Hoadley; Yong Hou; Matthew R Huska; Helena Kilpinen; Jan O Korbel; Maximillian G Marin; Julia Markowski; Tannistha Nandi; Qiang Pan-Hammarström; Chandra Sekhar Pedamallu; Reiner Siebert; Stefan G Stark; Hong Su; Patrick Tan; Sebastian M Waszak; Christina Yung; Shida Zhu; Philip Awadalla; Chad J Creighton; Matthew Meyerson; B F Francis Ouellette; Kui Wu; Huanming Yang; Alvis Brazma; Angela N Brooks; Jonathan Göke; Gunnar Rätsch; Roland F Schwarz; Oliver Stegle; Zemin Zhang
Journal:  Nature       Date:  2020-02-05       Impact factor: 49.962

3.  Genome-Wide Profiling of Transcription Initiation with STRIPE-seq.

Authors:  Robert A Policastro; Gabriel E Zentner
Journal:  Methods Mol Biol       Date:  2022

4.  Concordant Androgen-Regulated Expression of Divergent Rhox5 Promoters in Sertoli Cells.

Authors:  Anjana Bhardwaj; Abhishek Sohni; Chih-Hong Lou; Karel De Gendt; Fanmao Zhang; Eunah Kim; Panneerdoss Subbarayalu; Waikin Chan; Stefanie Kerkhofs; Frank Claessens; Sarah Kimmins; Manjeet K Rao; Marvin Meistrich; Miles F Wilkinson
Journal:  Endocrinology       Date:  2022-01-01       Impact factor: 4.736

Review 5.  Mapping the genomic diaspora of gastric cancer.

Authors:  Khay Guan Yeoh; Patrick Tan
Journal:  Nat Rev Cancer       Date:  2021-10-26       Impact factor: 60.716

6.  Genome-Wide Chromatin Analysis of FFPE Tissues Using a Dual-Arm Robot with Clinical Potential.

Authors:  Syuzo Kaneko; Toutai Mitsuyama; Kouya Shiraishi; Noriko Ikawa; Kanto Shozu; Ai Dozen; Hidenori Machino; Ken Asada; Masaaki Komatsu; Asako Kukita; Kenbun Sone; Hiroshi Yoshida; Noriko Motoi; Shinya Hayami; Yutaka Yoneoka; Tomoyasu Kato; Takashi Kohno; Toru Natsume; Gottfried von Keudell; Vassiliki Saloura; Hiroki Yamaue; Ryuji Hamamoto
Journal:  Cancers (Basel)       Date:  2021-04-28       Impact factor: 6.639

Review 7.  Integrated Analysis of Whole Genome and Epigenome Data Using Machine Learning Technology: Toward the Establishment of Precision Oncology.

Authors:  Ken Asada; Syuzo Kaneko; Ken Takasawa; Hidenori Machino; Satoshi Takahashi; Norio Shinkai; Ryo Shimoyama; Masaaki Komatsu; Ryuji Hamamoto
Journal:  Front Oncol       Date:  2021-05-12       Impact factor: 6.244

8.  The transcriptional landscape of a rewritten bacterial genome reveals control elements and genome design principles.

Authors:  Mariëlle J F M van Kooten; Clio A Scheidegger; Matthias Christen; Beat Christen
Journal:  Nat Commun       Date:  2021-05-24       Impact factor: 14.919

9.  Direct analysis of ribosome targeting illuminates thousand-fold regulation of translation initiation.

Authors:  Rachel O Niederer; Maria F Rojas-Duran; Boris Zinshteyn; Wendy V Gilbert
Journal:  Cell Syst       Date:  2022-01-17       Impact factor: 10.304

10.  Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR.

Authors:  Robert A Policastro; Daniel J McDonald; Volker P Brendel; Gabriel E Zentner
Journal:  NAR Genom Bioinform       Date:  2021-06-01
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