MassIVE MSV000093620

Complete Public PXD047669

Multi-omics analysis of aggregative multicellularity

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Description

The extent to which mRNA and protein levels correlate is still not fully known, especially during development, when cells undergo a major transition in gene expression. One organism with particular development is Dictyostelium discoideum, during which it transitions from free-living unicellular to multicellular. Previously the transcriptome has been thoroughly studied during multicellular development, however the proteome and its correlation to the transcriptome during this transition is not fully understood. In this study, for the first time, paired transcriptomics and proteomics was performed in a time series during aggregative multicellularity. From the analysis, the majority of transcripts were identified as differentially expressed, and we could quantify roughly a third of the proteome during early multicellular development. The proteome and transcriptome correlate relatively highly during steady-state, however this decreases as soon as multicellular aggregation is initiated. Correlation is particularly low at the gene-level during development. We find that dynamically regulated mRNA often leads to linear up- or downregulation of the protein, and that there is a time lag of approximately 2 to 4 hours between mRNA and protein. [doi:10.25345/C5H12VJ75] [dataset license: CC0 1.0 Universal (CC0 1.0)]

Keywords: Multi-omics ; Transcriptomics ; Proteomics ; mRNA-protein correlation ; Aggregative multicellularity ; Amoebozoa ; Dictyostelium discoideum

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Principal Investigators:
(in alphabetical order) 		Fredrik Soderbom, Uppsala University, Sweden
Submitting User: bared
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Number of distinct proteins found to be differentially abundant in at least one comparison across all analyses (original submission and reanalyses) associated with this dataset.

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Distinct protein accessions are counted across all files submitted in the "Statistical Analysis of Quantified Analytes" category having a "Protein" column in this dataset.

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