Literature DB >> 28532181

Exploring ribosome composition and newly synthesized proteins through proteomics and potential biomedical applications.

Miroslava Stastna1,2,3, Roberta A Gottlieb1, Jennifer E Van Eyk1,2.   

Abstract

INTRODUCTION: Protein synthesis is the outcome of tightly regulated gene expression which is responsive to a variety of conditions. Efforts are ongoing to monitor individual stages of protein synthesis to ensure maximum efficiency and accuracy. Due to post-transcriptional regulation mechanisms, the correlation between translatome and proteome is higher than between transcriptome and proteome. However, the most accurate approach to assess the key modulators and final protein expression is directly by using proteomics. Areas covered: This review covers various proteomic strategies that were used to better understand post-transcriptional regulation, specifically during and early after translation. The methods that identify both regulatory proteins associated with translational components and newly synthesized proteins are discussed. Expert commentary: Emerging proteomic approaches make it possible to monitor protein dynamics in cells, tissues and whole animals. The ability to detect alteration in protein abundance soon after their synthesis enables earlier recognition of disease causing factors and candidates to prevent/rectify disease phenotype.

Entities:  

Keywords:  AHA; Post-transcriptional regulation; dynamic proteomics; fluorescent imaging of synthesized proteins; mass spectrometry; newly synthesized proteins; non-canonical amino-acid labeling; ribosomes; translation

Mesh:

Year:  2017        PMID: 28532181      PMCID: PMC6242274          DOI: 10.1080/14789450.2017.1333424

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  88 in total

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7.  In-depth quantitative proteomic analysis of de novo protein synthesis induced by brain-derived neurotrophic factor.

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Journal:  J Proteome Res       Date:  2014-10-13       Impact factor: 4.466

8.  Role of microRNAs in cardiac development and disease.

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Journal:  Exp Ther Med       Date:  2016-11-28       Impact factor: 2.447

Review 9.  Multi-disciplinary methods to define RNA-protein interactions and regulatory networks.

Authors:  Manuel Ascano; Stefanie Gerstberger; Thomas Tuschl
Journal:  Curr Opin Genet Dev       Date:  2013-02-28       Impact factor: 5.578

10.  QuaNCAT: quantitating proteome dynamics in primary cells.

Authors:  Andrew J M Howden; Vincent Geoghegan; Kristin Katsch; Georgios Efstathiou; Bhaskar Bhushan; Omar Boutureira; Benjamin Thomas; David C Trudgian; Benedikt M Kessler; Daniela C Dieterich; Benjamin G Davis; Oreste Acuto
Journal:  Nat Methods       Date:  2013-03-10       Impact factor: 28.547

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