Proteomics

Dataset Information

0

Uncovering hidden layers of cell cycle regulation through integrative multi-omic analysis


ABSTRACT: 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 by simultaneously analyzing mRNA levels, translation rates and protein abundance. Our analysis sheds new light on the significant contribution of both mRNA translation and protein 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 capacity 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.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Tamar Geiger  

LAB HEAD: Dr.Tamar Geiger

PROVIDER: PXD002802 | Pride | 2015-09-30

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20121221_TG_Ranen_COLLAB_CTR1.raw Raw
20121221_TG_Ranen_COLLAB_CTR2.raw Raw
20121221_TG_Ranen_COLLAB_CTR3.raw Raw
20121221_TG_Ranen_COLLAB_G1_1.raw Raw
20121221_TG_Ranen_COLLAB_G1_2.raw Raw
Items per page:
1 - 5 of 26
altmetric image

Publications

Uncovering Hidden Layers of Cell Cycle Regulation through Integrative Multi-omic Analysis.

Aviner Ranen R   Shenoy Anjana A   Elroy-Stein Orna O   Geiger Tamar T  

PLoS genetics 20151006 10


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  ...[more]

Similar Datasets

2017-03-29 | MSV000080771 | MassIVE
2017-07-11 | PXD004244 | Pride
2012-11-05 | E-GEOD-38170 | biostudies-arrayexpress
2023-08-08 | GSE218433 | GEO
2011-05-21 | E-GEOD-28631 | biostudies-arrayexpress
2013-10-11 | E-GEOD-50988 | biostudies-arrayexpress
2016-04-04 | E-GEOD-79664 | biostudies-arrayexpress
2010-08-27 | E-GEOD-19092 | biostudies-arrayexpress
2021-07-19 | E-MTAB-10105 | biostudies-arrayexpress
2021-07-19 | E-MTAB-10107 | biostudies-arrayexpress