Literature DB >> 36260607

The relationship of mRNA with protein expression in CD8+ T cells associates with gene class and gene characteristics.

Benoît P Nicolet1,2,3, Monika C Wolkers1,2,3.   

Abstract

T cells are key players in our defence against infections and malignancies. When T cells differentiate or become activated, they undergo substantial alterations in gene expression. Even though RNA expression levels are now well documented throughout different stages of T cells, it is not well understood how mRNA expression translates into the protein landscape. By combining paired RNA sequencing and mass spectrometry data of primary human CD8+ T cells, we report that mRNA expression is a poor proxy for the overall protein output, irrespective of the differentiation or activation status. Yet, gene class stratification revealed a function-specific correlation of mRNA with protein expression. This gene class-specific expression pattern associated with differences in gene characteristics such as sequence conservation and untranslated region (UTR) lengths. In addition, the presence of AU-rich elements in the 3'UTR associated with alterations in mRNA and protein abundance T cell activation dependent, gene class-specific manner. In conclusion, our study highlights the role of gene characteristics as a determinant for gene expression in T cells.

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Year:  2022        PMID: 36260607      PMCID: PMC9581405          DOI: 10.1371/journal.pone.0276294

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


  56 in total

1.  Preferential localization of effector memory cells in nonlymphoid tissue.

Authors:  D Masopust; V Vezys; A L Marzo; L Lefrançois
Journal:  Science       Date:  2001-03-01       Impact factor: 47.728

2.  Codon usage between genomes is constrained by genome-wide mutational processes.

Authors:  Swaine L Chen; William Lee; Alison K Hottes; Lucy Shapiro; Harley H McAdams
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-27       Impact factor: 11.205

3.  Deciphering the rules by which 5'-UTR sequences affect protein expression in yeast.

Authors:  Shlomi Dvir; Lars Velten; Eilon Sharon; Danny Zeevi; Lucas B Carey; Adina Weinberger; Eran Segal
Journal:  Proc Natl Acad Sci U S A       Date:  2013-07-05       Impact factor: 11.205

4.  Global quantification of mammalian gene expression control.

Authors:  Björn Schwanhäusser; Dorothea Busse; Na Li; Gunnar Dittmar; Johannes Schuchhardt; Jana Wolf; Wei Chen; Matthias Selbach
Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

5.  Combined Single-Cell Measurement of Cytokine mRNA and Protein Identifies T Cells with Persistent Effector Function.

Authors:  Benoit P Nicolet; Aurelie Guislain; Monika C Wolkers
Journal:  J Immunol       Date:  2016-12-07       Impact factor: 5.422

Review 6.  mRNAs, proteins and the emerging principles of gene expression control.

Authors:  Christopher Buccitelli; Matthias Selbach
Journal:  Nat Rev Genet       Date:  2020-07-24       Impact factor: 53.242

7.  Proteomic Analyses of Human Regulatory T Cells Reveal Adaptations in Signaling Pathways that Protect Cellular Identity.

Authors:  Eloy Cuadrado; Maartje van den Biggelaar; Sander de Kivit; Yi-Yen Chen; Manon Slot; Ihsane Doubal; Alexander Meijer; Rene A W van Lier; Jannie Borst; Derk Amsen
Journal:  Immunity       Date:  2018-05-08       Impact factor: 31.745

Review 8.  Tissue-resident memory T cells at the center of immunity to solid tumors.

Authors:  Derk Amsen; Klaas P J M van Gisbergen; Pleun Hombrink; Rene A W van Lier
Journal:  Nat Immunol       Date:  2018-05-18       Impact factor: 25.606

9.  Sequence signatures and mRNA concentration can explain two-thirds of protein abundance variation in a human cell line.

Authors:  Christine Vogel; Raquel de Sousa Abreu; Daijin Ko; Shu-Yun Le; Bruce A Shapiro; Suzanne C Burns; Devraj Sandhu; Daniel R Boutz; Edward M Marcotte; Luiz O Penalva
Journal:  Mol Syst Biol       Date:  2010-08-24       Impact factor: 11.429

10.  A "proteomic ruler" for protein copy number and concentration estimation without spike-in standards.

Authors:  Jacek R Wiśniewski; Marco Y Hein; Jürgen Cox; Matthias Mann
Journal:  Mol Cell Proteomics       Date:  2014-09-15       Impact factor: 5.911

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