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Quantifying post-transcriptional regulation in the development of Drosophila melanogaster

ABSTRACT: Quantifying post-transcriptional regulation in the development of Drosophila melanogaster

PROVIDER: PRJNA495916 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR8040190.fastq.gz	Fastqsanger.gz
	SRR8040200.fastq.gz	Fastqsanger.gz
	SRR8040210.fastq.gz	Fastqsanger.gz
	SRR8040220.fastq.gz	Fastqsanger.gz
	SRR8040230.fastq.gz	Fastqsanger.gz

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Project description: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.

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