Literature DB >> 33168698

Identification of Dominant Transcripts in Oxidative Stress Response by a Full-Length Transcriptome Analysis.

Akihito Otsuki1,2, Yasunobu Okamura1,3, Yuichi Aoki1,4, Noriko Ishida1, Kazuki Kumada1, Naoko Minegishi1, Fumiki Katsuoka1,2,3, Kengo Kinoshita1,3,4, Masayuki Yamamoto5,2,3.   

Abstract

Our body responds to environmental stress by changing the expression levels of a series of cytoprotective enzymes/proteins through multilayered regulatory mechanisms, including the KEAP1-NRF2 system. While NRF2 upregulates the expression of many cytoprotective genes, there are fundamental limitations in short-read RNA sequencing (RNA-Seq), resulting in confusion regarding interpreting the effectiveness of cytoprotective gene induction at the transcript level. To precisely delineate isoform usage in the stress response, we conducted independent full-length transcriptome profiling (isoform sequencing; Iso-Seq) analyses of lymphoblastoid cells from three volunteers under normal and electrophilic stress-induced conditions. We first determined the first exon usage in KEAP1 and NFE2L2 (encoding NRF2) and found the presence of transcript diversity. We then examined changes in isoform usage of NRF2 target genes under stress conditions and identified a few isoforms dominantly expressed in the majority of NRF2 target genes. The expression levels of isoforms determined by Iso-Seq analyses showed striking differences from those determined by short-read RNA-Seq; the latter could be misleading concerning the abundance of transcripts. These results support that transcript usage is tightly regulated to produce functional proteins under electrophilic stress. Our present study strongly argues that there are important benefits that can be achieved by long-read transcriptome sequencing.
Copyright © 2021 American Society for Microbiology.

Entities:  

Keywords:  KEAP1; NRF2; oxidative stress; transcription; transcriptome

Mesh:

Substances:

Year:  2021        PMID: 33168698      PMCID: PMC8093496          DOI: 10.1128/MCB.00472-20

Source DB:  PubMed          Journal:  Mol Cell Biol        ISSN: 0270-7306            Impact factor:   4.272


  64 in total

1.  eF-site and PDBjViewer: database and viewer for protein functional sites.

Authors:  Kengo Kinoshita; Haruki Nakamura
Journal:  Bioinformatics       Date:  2004-02-10       Impact factor: 6.937

Review 2.  Cancer chemoprevention mechanisms mediated through the Keap1-Nrf2 pathway.

Authors:  John D Hayes; Michael McMahon; Sudhir Chowdhry; Albena T Dinkova-Kostova
Journal:  Antioxid Redox Signal       Date:  2010-08-14       Impact factor: 8.401

3.  Irradiation-induced p53 expression is attenuated in cells with NQO1 C465T polymorphism.

Authors:  Masaki Sato; Masatoshi Takagi; Shuki Mizutani
Journal:  J Med Dent Sci       Date:  2010-06

4.  Biobank Establishment and Sample Management in the Tohoku Medical Megabank Project.

Authors:  Naoko Minegishi; Ichiko Nishijima; Takahiro Nobukuni; Hisaaki Kudo; Noriko Ishida; Takahiro Terakawa; Kazuki Kumada; Riu Yamashita; Fumiki Katsuoka; Soichi Ogishima; Kichiya Suzuki; Makoto Sasaki; Mamoru Satoh; Masayuki Yamamoto
Journal:  Tohoku J Exp Med       Date:  2019-05       Impact factor: 1.848

5.  High frequency of alternative first exons in erythroid genes suggests a critical role in regulating gene function.

Authors:  Jeff S Tan; Narla Mohandas; John G Conboy
Journal:  Blood       Date:  2005-11-17       Impact factor: 22.113

6.  An auto-regulatory loop between stress sensors INrf2 and Nrf2 controls their cellular abundance.

Authors:  Ok-Hee Lee; Abhinav K Jain; Victor Papusha; Anil K Jaiswal
Journal:  J Biol Chem       Date:  2007-10-09       Impact factor: 5.157

Review 7.  Splicing Busts a Move: Isoform Switching Regulates Migration.

Authors:  Mithun Mitra; Ha Neul Lee; Hilary A Coller
Journal:  Trends Cell Biol       Date:  2019-12-03       Impact factor: 20.808

8.  PGC-1alpha-responsive genes involved in oxidative phosphorylation are coordinately downregulated in human diabetes.

Authors:  Vamsi K Mootha; Cecilia M Lindgren; Karl-Fredrik Eriksson; Aravind Subramanian; Smita Sihag; Joseph Lehar; Pere Puigserver; Emma Carlsson; Martin Ridderstråle; Esa Laurila; Nicholas Houstis; Mark J Daly; Nick Patterson; Jill P Mesirov; Todd R Golub; Pablo Tamayo; Bruce Spiegelman; Eric S Lander; Joel N Hirschhorn; David Altshuler; Leif C Groop
Journal:  Nat Genet       Date:  2003-07       Impact factor: 38.330

9.  Nanopore native RNA sequencing of a human poly(A) transcriptome.

Authors:  Rachael E Workman; Alison D Tang; Paul S Tang; Miten Jain; John R Tyson; Roham Razaghi; Philip C Zuzarte; Timothy Gilpatrick; Alexander Payne; Joshua Quick; Norah Sadowski; Nadine Holmes; Jaqueline Goes de Jesus; Karen L Jones; Cameron M Soulette; Terrance P Snutch; Nicholas Loman; Benedict Paten; Matthew Loose; Jared T Simpson; Hugh E Olsen; Angela N Brooks; Mark Akeson; Winston Timp
Journal:  Nat Methods       Date:  2019-11-18       Impact factor: 28.547

10.  Transcriptome profiling of mouse samples using nanopore sequencing of cDNA and RNA molecules.

Authors:  Camille Sessegolo; Corinne Cruaud; Corinne Da Silva; Audric Cologne; Marion Dubarry; Thomas Derrien; Vincent Lacroix; Jean-Marc Aury
Journal:  Sci Rep       Date:  2019-10-17       Impact factor: 4.379

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  1 in total

1.  Construction of a trio-based structural variation panel utilizing activated T lymphocytes and long-read sequencing technology.

Authors:  Akihito Otsuki; Yasunobu Okamura; Noriko Ishida; Shu Tadaka; Jun Takayama; Kazuki Kumada; Junko Kawashima; Keiko Taguchi; Naoko Minegishi; Shinichi Kuriyama; Gen Tamiya; Kengo Kinoshita; Fumiki Katsuoka; Masayuki Yamamoto
Journal:  Commun Biol       Date:  2022-09-20
  1 in total

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