Quantifying post-transcriptional regulation in the development of Drosophila melanogaster

被引:63
作者
Becker, Kolja [1 ]
Bluhm, Alina [1 ]
Casas-Vila, Nuria [1 ]
Dinges, Nadja [1 ]
Dejung, Mario [1 ]
Sayols, Sergi [1 ]
Kreutz, Clemens [2 ]
Roignant, Jean-Yves [1 ]
Butter, Falk [1 ]
Legewie, Stefan [1 ]
机构
[1] IMB, Ackermannweg 4, D-55128 Mainz, Germany
[2] Univ Freiburg, Ctr Biosyst Anal ZBSA, Habsburger Str 49, D-79104 Freiburg, Germany
关键词
YEAST SACCHAROMYCES-CEREVISIAE; TO-ZYGOTIC TRANSITION; GENOME-WIDE ANALYSIS; MESSENGER-RNA; EXPRESSION REGULATION; PROTEIN STABILITY; IN-VIVO; BINDING; TRANSLATION; QUANTIFICATION;
D O I
10.1038/s41467-018-07455-9
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (rho = 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 pro-teome data.
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页数:14
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