Literature DB >> 36129397

Proteogenomic analysis of cancer aneuploidy and normal tissues reveals divergent modes of gene regulation across cellular pathways.

Pan Cheng1, Xin Zhao1, Lizabeth Katsnelson1, Elaine M Camacho-Hernandez1, Angela Mermerian1, Joseph C Mays1, Scott M Lippman2, Reyna Edith Rosales-Alvarez3,4,5, Raquel Moya1,6, Jasmine Shwetar1, Dominic Grun3,7, David Fenyo1, Teresa Davoli1.   

Abstract

How cells control gene expression is a fundamental question. The relative contribution of protein-level and RNA-level regulation to this process remains unclear. Here, we perform a proteogenomic analysis of tumors and untransformed cells containing somatic copy number alterations (SCNAs). By revealing how cells regulate RNA and protein abundances of genes with SCNAs, we provide insights into the rules of gene regulation. Protein complex genes have a strong protein-level regulation while non-complex genes have a strong RNA-level regulation. Notable exceptions are plasma membrane protein complex genes, which show a weak protein-level regulation and a stronger RNA-level regulation. Strikingly, we find a strong negative association between the degree of RNA-level and protein-level regulation across genes and cellular pathways. Moreover, genes participating in the same pathway show a similar degree of RNA- and protein-level regulation. Pathways including translation, splicing, RNA processing, and mitochondrial function show a stronger protein-level regulation while cell adhesion and migration pathways show a stronger RNA-level regulation. These results suggest that the evolution of gene regulation is shaped by functional constraints and that many cellular pathways tend to evolve one predominant mechanism of gene regulation at the protein level or at the RNA level.
© 2022, Cheng, Zhao, Katsnelson et al.

Entities:  

Keywords:  aneuploidy; cancer; cancer biology; computational biology; gene expression; human; protein regulation; proteogenomic; systems biology

Mesh:

Substances:

Year:  2022        PMID: 36129397      PMCID: PMC9491860          DOI: 10.7554/eLife.75227

Source DB:  PubMed          Journal:  Elife        ISSN: 2050-084X            Impact factor:   8.713


  85 in total

1.  Proteomics. Tissue-based map of the human proteome.

Authors:  Mathias Uhlén; Linn Fagerberg; Björn M Hallström; Cecilia Lindskog; Per Oksvold; Adil Mardinoglu; Åsa Sivertsson; Caroline Kampf; Evelina Sjöstedt; Anna Asplund; IngMarie Olsson; Karolina Edlund; Emma Lundberg; Sanjay Navani; Cristina Al-Khalili Szigyarto; Jacob Odeberg; Dijana Djureinovic; Jenny Ottosson Takanen; Sophia Hober; Tove Alm; Per-Henrik Edqvist; Holger Berling; Hanna Tegel; Jan Mulder; Johan Rockberg; Peter Nilsson; Jochen M Schwenk; Marica Hamsten; Kalle von Feilitzen; Mattias Forsberg; Lukas Persson; Fredric Johansson; Martin Zwahlen; Gunnar von Heijne; Jens Nielsen; Fredrik Pontén
Journal:  Science       Date:  2015-01-23       Impact factor: 47.728

2.  Philosopher: a versatile toolkit for shotgun proteomics data analysis.

Authors:  Felipe da Veiga Leprevost; Sarah E Haynes; Dmitry M Avtonomov; Hui-Yin Chang; Avinash K Shanmugam; Dattatreya Mellacheruvu; Andy T Kong; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2020-09       Impact factor: 28.547

Review 3.  mRNAs, proteins and the emerging principles of gene expression control.

Authors:  Christopher Buccitelli; Matthias Selbach
Journal:  Nat Rev Genet       Date:  2020-07-24       Impact factor: 53.242

4.  Production of Protein-Complex Components Is Stoichiometric and Lacks General Feedback Regulation in Eukaryotes.

Authors:  James C Taggart; Gene-Wei Li
Journal:  Cell Syst       Date:  2018-12-12       Impact factor: 10.304

5.  Immortalized epithelial cells derived from human colon biopsies express stem cell markers and differentiate in vitro.

Authors:  Andres I Roig; Ugur Eskiocak; Suzie K Hight; Sang Bum Kim; Oliver Delgado; Rhonda F Souza; Stuart J Spechler; Woodring E Wright; Jerry W Shay
Journal:  Gastroenterology       Date:  2009-12-04       Impact factor: 22.682

6.  The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Authors:  Jordi Barretina; Giordano Caponigro; Nicolas Stransky; Kavitha Venkatesan; Adam A Margolin; Sungjoon Kim; Christopher J Wilson; Joseph Lehár; Gregory V Kryukov; Dmitriy Sonkin; Anupama Reddy; Manway Liu; Lauren Murray; Michael F Berger; John E Monahan; Paula Morais; Jodi Meltzer; Adam Korejwa; Judit Jané-Valbuena; Felipa A Mapa; Joseph Thibault; Eva Bric-Furlong; Pichai Raman; Aaron Shipway; Ingo H Engels; Jill Cheng; Guoying K Yu; Jianjun Yu; Peter Aspesi; Melanie de Silva; Kalpana Jagtap; Michael D Jones; Li Wang; Charles Hatton; Emanuele Palescandolo; Supriya Gupta; Scott Mahan; Carrie Sougnez; Robert C Onofrio; Ted Liefeld; Laura MacConaill; Wendy Winckler; Michael Reich; Nanxin Li; Jill P Mesirov; Stacey B Gabriel; Gad Getz; Kristin Ardlie; Vivien Chan; Vic E Myer; Barbara L Weber; Jeff Porter; Markus Warmuth; Peter Finan; Jennifer L Harris; Matthew Meyerson; Todd R Golub; Michael P Morrissey; William R Sellers; Robert Schlegel; Levi A Garraway
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

7.  Absolute quantification of somatic DNA alterations in human cancer.

Authors:  Scott L Carter; Kristian Cibulskis; Elena Helman; Aaron McKenna; Hui Shen; Travis Zack; Peter W Laird; Robert C Onofrio; Wendy Winckler; Barbara A Weir; Rameen Beroukhim; David Pellman; Douglas A Levine; Eric S Lander; Matthew Meyerson; Gad Getz
Journal:  Nat Biotechnol       Date:  2012-05       Impact factor: 54.908

8.  MSFragger: ultrafast and comprehensive peptide identification in mass spectrometry-based proteomics.

Authors:  Andy T Kong; Felipe V Leprevost; Dmitry M Avtonomov; Dattatreya Mellacheruvu; Alexey I Nesvizhskii
Journal:  Nat Methods       Date:  2017-04-10       Impact factor: 28.547

9.  Fast Quantitative Analysis of timsTOF PASEF Data with MSFragger and IonQuant.

Authors:  Fengchao Yu; Sarah E Haynes; Guo Ci Teo; Dmitry M Avtonomov; Daniel A Polasky; Alexey I Nesvizhskii
Journal:  Mol Cell Proteomics       Date:  2020-07-02       Impact factor: 5.911

Review 10.  The next horizon in precision oncology: Proteogenomics to inform cancer diagnosis and treatment.

Authors:  Henry Rodriguez; Jean Claude Zenklusen; Louis M Staudt; James H Doroshow; Douglas R Lowy
Journal:  Cell       Date:  2021-04-01       Impact factor: 41.582

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.