Proteome allocation is linked to transcriptional regulation through a modularized transcriptome.

Autor:	Patel A; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA., McGrosso D; Department of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA., Hefner Y; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA., Campeau A; Department of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA., Sastry AV; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA., Maurya S; Department of Pharmacology, University of California, San Diego, La Jolla, CA 92093, USA., Rychel K; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA., Gonzalez DJ; Skaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA 92093, USA., Palsson BO; Department of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.; Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs. Lyngby, Denmark.
Jazyk:	angličtina
Zdroj:	BioRxiv : the preprint server for biology [bioRxiv] 2023 Feb 21. Date of Electronic Publication: 2023 Feb 21.
DOI:	10.1101/2023.02.20.529291
Abstrakt:	It has proved challenging to quantitatively relate the proteome to the transcriptome on a per-gene basis. Recent advances in data analytics have enabled a biologically meaningful modularization of the bacterial transcriptome. We thus investigated whether matched datasets of transcriptomes and proteomes from bacteria under diverse conditions could be modularized in the same way to reveal novel relationships between their compositions. We found that; 1) the modules of the proteome and the transcriptome are comprised of a similar list of gene products, 2) the modules in the proteome often represent combinations of modules from the transcriptome, 3) known transcriptional and post-translational regulation is reflected in differences between two sets of modules, allowing for knowledge-mapping when interpreting module functions, and 4) through statistical modeling, absolute proteome allocation can be inferred from the transcriptome alone. Quantitative and knowledge-based relationships can thus be found at the genome-scale between the proteome and transcriptome in bacteria. Competing Interests: Competing financial interests The authors declare no competing financial interests.
Databáze:	MEDLINE
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