Quantifying post-transcriptional regulation in the development of Drosophila melanogaster

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

Object Details

• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch
• Notes: Nature communications. - 9, 1 (2018) , 4970, ISSN: 2041-1723

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Freiburg
• (who): Universität
• (when): 2020
• Creator: Becker, Kolja ; Bluhm, Alina ; Casas-Vila, Núria ; Dinges, Nadja ; Dejung, Mario ; Sayols, Sergi ; Kreutz, Clemens ; Roignant, Jean-Yves ; Butter, Falk ; Legewie, Stefan
• Contributor: Institut für Medizinische Biometrie und Statistik. Freiburg im Breisgau

Further information

• DOI: 10.1038/s41467-018-07455-9
• URN: urn:nbn:de:bsz:25-freidok-1532110
• Rights: Kein Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.05.2025, 7:42 AM CEST