Literature DB >> 32709985

mRNAs, proteins and the emerging principles of gene expression control.

Christopher Buccitelli1, Matthias Selbach2,3.   

Abstract

Gene expression involves transcription, translation and the turnover of mRNAs and proteins. The degree to which protein abundances scale with mRNA levels and the implications in cases where this dependency breaks down remain an intensely debated topic. Here we review recent mRNA-protein correlation studies in the light of the quantitative parameters of the gene expression pathway, contextual confounders and buffering mechanisms. Although protein and mRNA levels typically show reasonable correlation, we describe how transcriptomics and proteomics provide useful non-redundant readouts. Integrating both types of data can reveal exciting biology and is an essential step in refining our understanding of the principles of gene expression control.

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Year:  2020        PMID: 32709985     DOI: 10.1038/s41576-020-0258-4

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  114 in total

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5.  BoxCarmax: A High-Selectivity Data-Independent Acquisition Mass Spectrometry Method for the Analysis of Protein Turnover and Complex Samples.

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8.  Opportunities and Challenges in Global Quantification of RNA-Protein Interaction via UV Cross-Linking.

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Review 9.  New horizons in the stormy sea of multimodal single-cell data integration.

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Journal:  Mol Cell       Date:  2022-01-20       Impact factor: 17.970

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