Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis.
Studying the complex relationship between transcription, translation and protein degradation is essential to our understanding of biological processes in health and disease. The limited correlations observed between mRNA and protein abundance suggest pervasive regulation of post-transcriptional step...
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doaj-8f30bede9c914be589931b24c5aa099a2020-11-24T21:41:38ZengPublic Library of Science (PLoS)PLoS Genetics1553-73901553-74042015-10-011110e100555410.1371/journal.pgen.1005554Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis.Ranen AvinerAnjana ShenoyOrna Elroy-SteinTamar GeigerStudying the complex relationship between transcription, translation and protein degradation is essential to our understanding of biological processes in health and disease. The limited correlations observed between mRNA and protein abundance suggest pervasive regulation of post-transcriptional steps and support the importance of profiling mRNA levels in parallel to protein synthesis and degradation rates. In this work, we applied an integrative multi-omic approach to study gene expression along the mammalian cell cycle through side-by-side analysis of mRNA, translation and protein levels. Our analysis sheds new light on the significant contribution of both protein synthesis and degradation to the variance in protein expression. Furthermore, we find that translation regulation plays an important role at S-phase, while progression through mitosis is predominantly controlled by changes in either mRNA levels or protein stability. Specific molecular functions are found to be co-regulated and share similar patterns of mRNA, translation and protein expression along the cell cycle. Notably, these include genes and entire pathways not previously implicated in cell cycle progression, demonstrating the potential of this approach to identify novel regulatory mechanisms beyond those revealed by traditional expression profiling. Through this three-level analysis, we characterize different mechanisms of gene expression, discover new cycling gene products and highlight the importance and utility of combining datasets generated using different techniques that monitor distinct steps of gene expression.http://europepmc.org/articles/PMC4595013?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ranen Aviner Anjana Shenoy Orna Elroy-Stein Tamar Geiger |
spellingShingle |
Ranen Aviner Anjana Shenoy Orna Elroy-Stein Tamar Geiger Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. PLoS Genetics |
author_facet |
Ranen Aviner Anjana Shenoy Orna Elroy-Stein Tamar Geiger |
author_sort |
Ranen Aviner |
title |
Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. |
title_short |
Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. |
title_full |
Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. |
title_fullStr |
Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. |
title_full_unstemmed |
Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis. |
title_sort |
uncovering hidden layers of cell cycle regulation through integrative multi-omic analysis. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS Genetics |
issn |
1553-7390 1553-7404 |
publishDate |
2015-10-01 |
description |
Studying the complex relationship between transcription, translation and protein degradation is essential to our understanding of biological processes in health and disease. The limited correlations observed between mRNA and protein abundance suggest pervasive regulation of post-transcriptional steps and support the importance of profiling mRNA levels in parallel to protein synthesis and degradation rates. In this work, we applied an integrative multi-omic approach to study gene expression along the mammalian cell cycle through side-by-side analysis of mRNA, translation and protein levels. Our analysis sheds new light on the significant contribution of both protein synthesis and degradation to the variance in protein expression. Furthermore, we find that translation regulation plays an important role at S-phase, while progression through mitosis is predominantly controlled by changes in either mRNA levels or protein stability. Specific molecular functions are found to be co-regulated and share similar patterns of mRNA, translation and protein expression along the cell cycle. Notably, these include genes and entire pathways not previously implicated in cell cycle progression, demonstrating the potential of this approach to identify novel regulatory mechanisms beyond those revealed by traditional expression profiling. Through this three-level analysis, we characterize different mechanisms of gene expression, discover new cycling gene products and highlight the importance and utility of combining datasets generated using different techniques that monitor distinct steps of gene expression. |
url |
http://europepmc.org/articles/PMC4595013?pdf=render |
work_keys_str_mv |
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