Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.

Details

Serval ID
serval:BIB_BC2B7A35FEE3
Type
Article: article from journal or magazin.
Collection
Publications
Title
Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.
Journal
Nature communications
Author(s)
Becker K., Bluhm A., Casas-Vila N., Dinges N., Dejung M., Sayols S., Kreutz C., Roignant J.Y., Butter F., Legewie S.
ISSN
2041-1723 (Electronic)
ISSN-L
2041-1723
Publication state
Published
Issued date
26/11/2018
Peer-reviewed
Oui
Volume
9
Number
1
Pages
4970
Language
english
Notes
Publication types: Journal Article ; Research Support, Non-U.S. Gov't
Publication Status: epublish
Abstract
Even though proteins are produced from mRNA, the correlation between mRNA levels and protein abundances is moderate in most studies, occasionally attributed to complex post-transcriptional regulation. To address this, we generate a paired transcriptome/proteome time course dataset with 14 time points during Drosophila embryogenesis. Despite a limited mRNA-protein correlation (ρ = 0.54), mathematical models describing protein translation and degradation explain 84% of protein time-courses based on the measured mRNA dynamics without assuming complex post transcriptional regulation, and allow for classification of most proteins into four distinct regulatory scenarios. By performing an in-depth characterization of the putatively post-transcriptionally regulated genes, we postulate that the RNA-binding protein Hrb98DE is involved in post-transcriptional control of sugar metabolism in early embryogenesis and partially validate this hypothesis using Hrb98DE knockdown. In summary, we present a systems biology framework for the identification of post-transcriptional gene regulation from large-scale, time-resolved transcriptome and proteome data.
Keywords
Animals, Base Sequence, Drosophila Proteins/metabolism, Drosophila melanogaster/embryology, Drosophila melanogaster/genetics, Embryonic Development/genetics, Gene Expression Regulation, Glucose/metabolism, Kinetics, Proteome/metabolism, RNA, Messenger/genetics, RNA, Messenger/metabolism, Transcription, Genetic, Transcriptome/genetics
Pubmed
Web of science
Open Access
Yes
Create date
28/10/2019 12:35
Last modification date
29/10/2019 6:26
Usage data