%0 Journal Article %1 becker_quantifying_2018 %A Becker, Kolja %A Bluhm, Alina %A Casas-Vila, Nuria %A Dinges, Nadja %A Dejung, Mario %A Sayols, Sergi %A Kreutz, Clemens %A Roignant, Jean-Yves %A Butter, Falk %A Legewie, Stefan %D 2018 %J Nature Communications %K Animals, Base Development, Drosophila Embryonic Expression Gene Genetic, Glucose, Kinetics, Messenger, Proteins, Proteome, RNA, Regulation, Sequence, Transcription, Transcriptome melanogaster, %N 1 %P 4970 %R 10.1038/s41467-018-07455-9 %T Quantifying post-transcriptional regulation in the development of Drosophila melanogaster %V 9 %X 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.

@article{becker_quantifying_2018, 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.}, added-at = {2025-03-05T15:52:38.000+0100}, author = {Becker, Kolja and Bluhm, Alina and Casas-Vila, Nuria and Dinges, Nadja and Dejung, Mario and Sayols, Sergi and Kreutz, Clemens and Roignant, Jean-Yves and Butter, Falk and Legewie, Stefan}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/2a8704533a8dfa10f1d5f42ed6d4aef19/slegewie}, doi = {10.1038/s41467-018-07455-9}, file = {Volltext:C\:\\Users\\SL\\Zotero\\storage\\U4MU6BPV\\Becker et al. - 2018 - Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.pdf:application/pdf}, interhash = {42325feb1689d483604c5222faf8ebb8}, intrahash = {a8704533a8dfa10f1d5f42ed6d4aef19}, issn = {2041-1723}, journal = {Nature Communications}, keywords = {Animals, Base Development, Drosophila Embryonic Expression Gene Genetic, Glucose, Kinetics, Messenger, Proteins, Proteome, RNA, Regulation, Sequence, Transcription, Transcriptome melanogaster,}, language = {eng}, month = nov, number = 1, pages = 4970, pmcid = {PMC6255845}, pmid = {30478415}, timestamp = {2025-03-05T15:52:38.000+0100}, title = {Quantifying post-transcriptional regulation in the development of {Drosophila} melanogaster}, volume = 9, year = 2018 }