Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures-Reference-Cited by-同舟云学术

Primate Transcript and Protein Expression Levels Evolve Under Compensatory Selection Pressures

Published:2013-11-29 Issue:6162 Volume:342 Page:1100-1104
ISSN:0036-8075
Container-title:Science
language:en
Short-container-title:Science

Author:

Khan Zia¹,Ford Michael J.²,Cusanovich Darren A.¹,Mitrano Amy¹,Pritchard Jonathan K.¹³,Gilad Yoav¹

Affiliation:

1. Department of Human Genetics, University of Chicago, Chicago, IL 60637, USA.

2. MS Bioworks, LLC, 3950 Varsity Drive, Ann Arbor, MI 48108, USA.

3. Howard Hughes Medical Institute, University of Chicago, Chicago, IL, 60637, USA.

Abstract

Don't Ape Protein Variation Changes in DNA and messenger RNA (mRNA) expression levels have been used to estimate evolutionary changes between species. However protein expression levels may better reflect selection on divergent and constrained phenotypes. Khan et al. (p. 1100 , published online 17 October; see the Perspective by

Vogel

) measured the differences among and within species between mRNA expression and protein levels in humans, chimpanzees, and rhesus macaques, identifying protein transcripts that seem to be under lineage-specific constraint between humans and chimpanzees.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

Reference28 articles.

1. Parallel Patterns of Evolution in the Genomes and Transcriptomes of Humans and Chimpanzees

2. Expression profiling in primates reveals a rapid evolution of human transcription factors

3. The evolution of gene expression levels in mammalian organs

4. Comparative studies of gene expression and the evolution of gene regulation

5. Insights into the regulation of protein abundance from proteomic and transcriptomic analyses

Cited by 206 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Cellular control of protein levels: A systems biology perspective;PROTEOMICS;2023-11-27

2. Evaluating the Performance of Widely Used Phylogenetic Models for Gene Expression Evolution;Genome Biology and Evolution;2023-11-24

3. Workability of mRNA Sequencing for Predicting Protein Abundance;Genes;2023-11-11

4. ioSearch: An approach for identifying interacting multiomics biomarkers using a novel algorithm with application on breast cancer data sets;Genetic Epidemiology;2023-10-05

5. The relationship between regulatory changes in cis and trans and the evolution of gene expression in humans and chimpanzees;Genome Biology;2023-09-11