https://puma.ub.uni-stuttgart.de/tag/TranscriptomePUMA RSS feed for /tag/Transcriptome2026-04-04T12:24:02+02:00https://puma.ub.uni-stuttgart.de/bibtex/2a8704533a8dfa10f1d5f42ed6d4aef19/slegewieslegewie2025-03-05T15:52:38+01:00Animals, Base Development, Drosophila Embryonic Expression Gene Genetic, Glucose, Kinetics, Messenger, Proteins, Proteome, RNA, Regulation, Sequence, Transcription, Transcriptome melanogaster, <span data-person-type="author" class="authorEditorList "><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Kolja Becker" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/0"><span itemprop="name">K. Becker</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Alina Bluhm" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/1"><span itemprop="name">A. Bluhm</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nuria Casas-Vila" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/2"><span itemprop="name">N. Casas-Vila</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Nadja Dinges" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/3"><span itemprop="name">N. Dinges</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Mario Dejung" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/4"><span itemprop="name">M. Dejung</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Sergi Sayols" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/5"><span itemprop="name">S. Sayols</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Clemens Kreutz" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/6"><span itemprop="name">C. Kreutz</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Jean-Yves Roignant" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/7"><span itemprop="name">J. Roignant</span></a></span>, </span><span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Falk Butter" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/8"><span itemprop="name">F. Butter</span></a></span>, </span> und <span><span itemtype="http://schema.org/Person" itemscope="itemscope" itemprop="author"><a title="Stefan Legewie" itemprop="url" href="/person/142325feb1689d483604c5222faf8ebb8/author/9"><span itemprop="name">S. Legewie</span></a></span></span>. </span><span class="additional-entrytype-information"><span itemtype="http://schema.org/PublicationIssue" itemscope="itemscope" itemprop="isPartOf"><em><span itemprop="journal">Nature Communications</span>, </em> <em><span itemtype="http://schema.org/PublicationVolume" itemscope="itemscope" itemprop="isPartOf"><span itemprop="volumeNumber">9 </span></span>(<span itemprop="issueNumber">1</span>): <span itemprop="pagination">4970</span></em> </span>(<em><span>November 2018<meta content="November 2018" itemprop="datePublished"/></span></em>)</span>Wed Mar 05 15:52:38 CET 2025Nature Communicationsnov14970Quantifying post-transcriptional regulation in the development of {Drosophila} melanogaster92018Animals, Base Development, Drosophila Embryonic Expression Gene Genetic, Glucose, Kinetics, Messenger, Proteins, Proteome, RNA, Regulation, Sequence, Transcription, Transcriptome melanogaster, 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.