Literature DB >> 26903634

Differences in codon bias and GC content contribute to the balanced expression of TLR7 and TLR9.

Zachary R Newman1, Janet M Young2, Nicholas T Ingolia3, Gregory M Barton4.   

Abstract

The innate immune system detects diverse microbial species with a limited repertoire of immune receptors that recognize nucleic acids. The cost of this immune surveillance strategy is the potential for inappropriate recognition of self-derived nucleic acids and subsequent autoimmune disease. The relative expression of two closely related receptors, Toll-like receptor (TLR) 7 and TLR9, is balanced to allow recognition of microbial nucleic acids while limiting recognition of self-derived nucleic acids. Situations that tilt this balance toward TLR7 promote inappropriate responses, including autoimmunity; therefore, tight control of expression is critical for proper homeostasis. Here we report that differences in codon bias limit TLR7 expression relative to TLR9. Codon optimization of Tlr7 increases protein levels as well as responses to ligands, but, unexpectedly, these changes only modestly affect translation. Instead, we find that much of the benefit attributed to codon optimization is actually the result of enhanced transcription. Our findings, together with other recent examples, challenge the dogma that codon optimization primarily increases translation. We propose that suboptimal codon bias, which correlates with low guanine-cytosine (GC) content, limits transcription of certain genes. This mechanism may establish low levels of proteins whose overexpression leads to particularly deleterious effects, such as TLR7.

Entities:  

Keywords:  GC content; TLR7; TLR9; Toll-like receptors; codon bias

Mesh:

Substances:

Year:  2016        PMID: 26903634      PMCID: PMC4791032          DOI: 10.1073/pnas.1518976113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  50 in total

1.  Deviation from major codons in the Toll-like receptor genes is associated with low Toll-like receptor expression.

Authors:  Fei Zhong; Weiping Cao; Edmund Chan; Puei Nam Tay; Florence Feby Cahya; Haifeng Zhang; Jinhua Lu
Journal:  Immunology       Date:  2005-01       Impact factor: 7.397

2.  The codon Adaptation Index--a measure of directional synonymous codon usage bias, and its potential applications.

Authors:  P M Sharp; W H Li
Journal:  Nucleic Acids Res       Date:  1987-02-11       Impact factor: 16.971

Review 3.  Getting up to speed with transcription elongation by RNA polymerase II.

Authors:  Iris Jonkers; John T Lis
Journal:  Nat Rev Mol Cell Biol       Date:  2015-02-18       Impact factor: 94.444

4.  Codon optimality is a major determinant of mRNA stability.

Authors:  Vladimir Presnyak; Najwa Alhusaini; Ying-Hsin Chen; Sophie Martin; Nathan Morris; Nicholas Kline; Sara Olson; David Weinberg; Kristian E Baker; Brenton R Graveley; Jeff Coller
Journal:  Cell       Date:  2015-03-12       Impact factor: 41.582

5.  Signaling pathways differentially affect RNA polymerase II initiation, pausing, and elongation rate in cells.

Authors:  Charles G Danko; Nasun Hah; Xin Luo; André L Martins; Leighton Core; John T Lis; Adam Siepel; W Lee Kraus
Journal:  Mol Cell       Date:  2013-03-21       Impact factor: 17.970

6.  TLR8 on dendritic cells and TLR9 on B cells restrain TLR7-mediated spontaneous autoimmunity in C57BL/6 mice.

Authors:  Benoit Desnues; Amanda Beatriz Macedo; Annie Roussel-Queval; Johnny Bonnardel; Sandrine Henri; Olivier Demaria; Lena Alexopoulou
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-13       Impact factor: 11.205

7.  Immunogenetics. Dynamic profiling of the protein life cycle in response to pathogens.

Authors:  Marko Jovanovic; Michael S Rooney; Philipp Mertins; Dariusz Przybylski; Nicolas Chevrier; Rahul Satija; Edwin H Rodriguez; Alexander P Fields; Schraga Schwartz; Raktima Raychowdhury; Maxwell R Mumbach; Thomas Eisenhaure; Michal Rabani; Dave Gennert; Diana Lu; Toni Delorey; Jonathan S Weissman; Steven A Carr; Nir Hacohen; Aviv Regev
Journal:  Science       Date:  2015-02-12       Impact factor: 47.728

8.  Toll-like receptor 9 controls anti-DNA autoantibody production in murine lupus.

Authors:  Sean R Christensen; Michael Kashgarian; Lena Alexopoulou; Richard A Flavell; Shizuo Akira; Mark J Shlomchik
Journal:  J Exp Med       Date:  2005-07-18       Impact factor: 14.307

9.  RefSeq: an update on mammalian reference sequences.

Authors:  Kim D Pruitt; Garth R Brown; Susan M Hiatt; Françoise Thibaud-Nissen; Alexander Astashyn; Olga Ermolaeva; Catherine M Farrell; Jennifer Hart; Melissa J Landrum; Kelly M McGarvey; Michael R Murphy; Nuala A O'Leary; Shashikant Pujar; Bhanu Rajput; Sanjida H Rangwala; Lillian D Riddick; Andrei Shkeda; Hanzhen Sun; Pamela Tamez; Raymond E Tully; Craig Wallin; David Webb; Janet Weber; Wendy Wu; Michael DiCuccio; Paul Kitts; Donna R Maglott; Terence D Murphy; James M Ostell
Journal:  Nucleic Acids Res       Date:  2013-11-19       Impact factor: 16.971

10.  Genome-wide dynamics of Pol II elongation and its interplay with promoter proximal pausing, chromatin, and exons.

Authors:  Iris Jonkers; Hojoong Kwak; John T Lis
Journal:  Elife       Date:  2014-04-29       Impact factor: 8.140

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  38 in total

1.  TLR7 dosage polymorphism shapes interferogenesis and HIV-1 acute viremia in women.

Authors:  Pascal Azar; José Enrique Mejía; Claire Cenac; Arnoo Shaiykova; Ali Youness; Sophie Laffont; Asma Essat; Jacques Izopet; Caroline Passaes; Michaela Müller-Trutwin; Pierre Delobel; Laurence Meyer; Jean-Charles Guéry
Journal:  JCI Insight       Date:  2020-06-18

2.  The switch-like expression of heme-regulated kinase 1 mediates neuronal proteostasis following proteasome inhibition.

Authors:  Beatriz Alvarez-Castelao; Susanne Tom Dieck; Claudia M Fusco; Paul Donlin-Asp; Julio D Perez; Erin M Schuman
Journal:  Elife       Date:  2020-04-24       Impact factor: 8.140

3.  Genome-wide role of codon usage on transcription and identification of potential regulators.

Authors:  Fangzhou Zhao; Zhipeng Zhou; Yunkun Dang; Hyunsoo Na; Catherine Adam; Anna Lipzen; Vivian Ng; Igor V Grigoriev; Yi Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2021-02-09       Impact factor: 11.205

4.  Non-invasive measurement of mRNA decay reveals translation initiation as the major determinant of mRNA stability.

Authors:  Christopher F Mugler; Stephanie Heinrich; Leon Y Chan; Pascal Vallotton; Karsten Weis
Journal:  Elife       Date:  2018-09-07       Impact factor: 8.140

5.  Codon usage is an important determinant of gene expression levels largely through its effects on transcription.

Authors:  Zhipeng Zhou; Yunkun Dang; Mian Zhou; Lin Li; Chien-Hung Yu; Jingjing Fu; She Chen; Yi Liu
Journal:  Proc Natl Acad Sci U S A       Date:  2016-09-26       Impact factor: 11.205

Review 6.  The effects of codon bias and optimality on mRNA and protein regulation.

Authors:  Fabian Hia; Osamu Takeuchi
Journal:  Cell Mol Life Sci       Date:  2020-10-30       Impact factor: 9.261

7.  Codon bias confers stability to human mRNAs.

Authors:  Fabian Hia; Sheng Fan Yang; Yuichi Shichino; Masanori Yoshinaga; Yasuhiro Murakawa; Alexis Vandenbon; Akira Fukao; Toshinobu Fujiwara; Markus Landthaler; Tohru Natsume; Shungo Adachi; Shintaro Iwasaki; Osamu Takeuchi
Journal:  EMBO Rep       Date:  2019-09-03       Impact factor: 8.807

8.  Codon usage regulates human KRAS expression at both transcriptional and translational levels.

Authors:  Jingjing Fu; Yunkun Dang; Christopher Counter; Yi Liu
Journal:  J Biol Chem       Date:  2018-10-01       Impact factor: 5.157

9.  Codon usage biases co-evolve with transcription termination machinery to suppress premature cleavage and polyadenylation.

Authors:  Zhipeng Zhou; Yunkun Dang; Mian Zhou; Haiyan Yuan; Yi Liu
Journal:  Elife       Date:  2018-03-16       Impact factor: 8.140

10.  Synonymous nucleotide modification of the KCNH2 gene affects both mRNA characteristics and translation of the encoded hERG ion channel.

Authors:  Alexander C Bertalovitz; Marika L Osterbur Badhey; Thomas V McDonald
Journal:  J Biol Chem       Date:  2018-06-15       Impact factor: 5.157

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