Literature DB >> 30125138

Repertoires of tRNAs: The Couplers of Genomics and Proteomics.

Roni Rak1, Orna Dahan1, Yitzhak Pilpel1.   

Abstract

The pool of transfer RNA (tRNA) molecules in cells allows the ribosome to decode genetic information. This repertoire of molecular decoders is positioned in the crossroad of the genome, the transcriptome, and the proteome. Omics and systems biology now allow scientists to explore the entire repertoire of tRNAs of many organisms, revealing basic exciting biology. The tRNA gene set of hundreds of species is now characterized, in addition to the tRNA genes of organelles and viruses. Genes encoding tRNAs for certain anticodon types appear in dozens of copies in a genome, while others are universally absent from any genome. Transcriptome measurement of tRNAs is challenging, but in recent years new technologies have allowed researchers to determine the dynamic expression patterns of tRNAs. These advances reveal that availability of ready-to-translate tRNA molecules is highly controlled by several transcriptional and posttranscriptional regulatory processes. This regulation shapes the proteome according to the cellular state. The tRNA pool profoundly impacts many aspects of cellular and organismal life, including protein expression level, translation accuracy, adequacy of folding, and even mRNA stability. As a result, the shape of the tRNA pool affects organismal health and may participate in causing conditions such as cancer and neurological conditions.

Entities:  

Keywords:  anticodon; codon usage; genomic organization; protein abundance; tRNA; transfer RNA; translation fidelity

Mesh:

Substances:

Year:  2018        PMID: 30125138     DOI: 10.1146/annurev-cellbio-100617-062754

Source DB:  PubMed          Journal:  Annu Rev Cell Dev Biol        ISSN: 1081-0706            Impact factor:   13.827


  25 in total

1.  Translation regulation in skin cancer from a tRNA point of view.

Authors:  Katerina Grafanaki; Dimitrios Anastasakis; George Kyriakopoulos; Ilias Skeparnias; Sophia Georgiou; Constantinos Stathopoulos
Journal:  Epigenomics       Date:  2018-12-19       Impact factor: 4.778

2.  Readthrough Errors Purge Deleterious Cryptic Sequences, Facilitating the Birth of Coding Sequences.

Authors:  Luke J Kosinski; Joanna Masel
Journal:  Mol Biol Evol       Date:  2020-06-01       Impact factor: 16.240

3.  Dynamic changes in tRNA modifications and abundance during T cell activation.

Authors:  Roni Rak; Michal Polonsky; Inbal Eizenberg-Magar; Yufeng Mo; Yuriko Sakaguchi; Orel Mizrahi; Aharon Nachshon; Shlomit Reich-Zeliger; Noam Stern-Ginossar; Orna Dahan; Tsutomu Suzuki; Nir Friedman; Yitzhak Pilpel
Journal:  Proc Natl Acad Sci U S A       Date:  2021-10-19       Impact factor: 11.205

4.  MAF1, a repressor of RNA polymerase III-dependent transcription, regulates bone mass.

Authors:  Ellen Phillips; Naseer Ahmad; Li Sun; James Iben; Christopher J Walkey; Aleksandra Rusin; Tony Yuen; Clifford J Rosen; Ian M Willis; Mone Zaidi; Deborah L Johnson
Journal:  Elife       Date:  2022-05-25       Impact factor: 8.713

5.  Gene-Specific Control of tRNA Expression by RNA Polymerase II.

Authors:  Alan Gerber; Keiichi Ito; Chi-Shuen Chu; Robert G Roeder
Journal:  Mol Cell       Date:  2020-04-15       Impact factor: 17.970

6.  The birth of a bacterial tRNA gene by large-scale, tandem duplication events.

Authors:  Gökçe B Ayan; Hye Jin Park; Jenna Gallie
Journal:  Elife       Date:  2020-10-30       Impact factor: 8.140

7.  Mutation bias within oncogene families is related to proliferation-specific codon usage.

Authors:  Hannah Benisty; Marc Weber; Xavier Hernandez-Alias; Martin H Schaefer; Luis Serrano
Journal:  Proc Natl Acad Sci U S A       Date:  2020-11-16       Impact factor: 11.205

8.  Global In-Silico Scenario of tRNA Genes and Their Organization in Virus Genomes.

Authors:  Sergio Morgado; Ana Carolina Vicente
Journal:  Viruses       Date:  2019-02-21       Impact factor: 5.048

Review 9.  Novel approaches for efficient  in vivo fermentation production of noncoding RNAs.

Authors:  Ai-Ming Yu; Neelu Batra; Mei-Juan Tu; Colleen Sweeney
Journal:  Appl Microbiol Biotechnol       Date:  2020-01-17       Impact factor: 4.813

10.  Extensive profiling of the expressions of tRNAs and tRNA-derived fragments (tRFs) reveals the complexities of tRNA and tRF populations in plants.

Authors:  Xuan Ma; Chunyan Liu; Xiaocong Kong; Jing Liu; Siju Zhang; Shanshan Liang; Weijiang Luan; Xiaofeng Cao
Journal:  Sci China Life Sci       Date:  2021-02-08       Impact factor: 6.038

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