Literature DB >> 23443683

A systems approach for decoding mitochondrial retrograde signaling pathways.

Sehyun Chae1, Byung Yong Ahn, Kyunghee Byun, Young Min Cho, Myeong-Hee Yu, Bonghee Lee, Daehee Hwang, Kyong Soo Park.   

Abstract

Mitochondrial dysfunctions activate retrograde signaling from mitochondria to the nucleus. To identify transcription factors and their associated pathways that underlie mitochondrial retrograde signaling, we performed gene expression profiling of the cells engineered to have varying amounts of mitochondrial DNA with an A3243G mutation (mt3243) in the leucine transfer RNA (tRNA(Leu)), which reduces the abundance of proteins involved in oxidative phosphorylation that are encoded by the mitochondrial genome. The cells with the mutation exhibited reduced mitochondrial function, including compromised oxidative phosphorylation, which would activate diverse mitochondrial retrograde signaling pathways. By analyzing the gene expression profiles in cells with the mutant tRNA(Leu) and the transcription factors that recognize the differentially regulated genes, we identified 72 transcription factors that were potentially involved in mitochondrial retrograde signaling. We experimentally validated that the mt3243 mutation induced a retrograde signaling pathway involving RXRA (retinoid X receptor α), reactive oxygen species, kinase JNK (c-JUN N-terminal kinase), and transcriptional coactivator PGC1α (peroxisome proliferator-activated receptor γ, coactivator 1 α). This RXR pathway contributed to the decrease in mRNA abundances of oxidative phosphorylation enzymes encoded in the nuclear genome, thereby aggravating the dysfunction in oxidative phosphorylation caused by the reduced abundance of mitochondria-encoded enzymes of oxidative phosphorylation. Thus, matching transcription factors to differentially regulated gene expression profiles was an effective approach to understand mitochondrial retrograde signaling pathways and their roles in mitochondrial dysfunction.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23443683     DOI: 10.1126/scisignal.2003266

Source DB:  PubMed          Journal:  Sci Signal        ISSN: 1945-0877            Impact factor:   8.192


  87 in total

Review 1.  Mitochondrial biogenesis through activation of nuclear signaling proteins.

Authors:  John E Dominy; Pere Puigserver
Journal:  Cold Spring Harb Perspect Biol       Date:  2013-07-01       Impact factor: 10.005

Review 2.  Mitochondrial retrograde signaling at the crossroads of tumor bioenergetics, genetics and epigenetics.

Authors:  Manti Guha; Narayan G Avadhani
Journal:  Mitochondrion       Date:  2013-09-01       Impact factor: 4.160

Review 3.  The emergence of the mitochondrial genome as a partial regulator of nuclear function is providing new insights into the genetic mechanisms underlying age-related complex disease.

Authors:  Martin P Horan; David N Cooper
Journal:  Hum Genet       Date:  2013-12-04       Impact factor: 4.132

Review 4.  Integrated transcriptome analysis across mitochondrial disease etiologies and tissues improves understanding of common cellular adaptations to respiratory chain dysfunction.

Authors:  Zhe Zhang; Marni J Falk
Journal:  Int J Biochem Cell Biol       Date:  2014-02-22       Impact factor: 5.085

Review 5.  Modification of the wobble uridine in bacterial and mitochondrial tRNAs reading NNA/NNG triplets of 2-codon boxes.

Authors:  M Eugenia Armengod; Salvador Meseguer; Magda Villarroya; Silvia Prado; Ismaïl Moukadiri; Rafael Ruiz-Partida; M José Garzón; Carmen Navarro-González; Ana Martínez-Zamora
Journal:  RNA Biol       Date:  2014       Impact factor: 4.652

6.  Identification of a mitochondrial defect gene signature reveals NUPR1 as a key regulator of liver cancer progression.

Authors:  Young-Kyoung Lee; Byul A Jee; So Mee Kwon; Young-Sil Yoon; Wei Guang Xu; Hee-Jung Wang; Xin Wei Wang; Snorri S Thorgeirsson; Jae-Seon Lee; Hyun Goo Woo; Gyesoon Yoon
Journal:  Hepatology       Date:  2015-08-07       Impact factor: 17.425

7.  Stochastic modelling, Bayesian inference, and new in vivo measurements elucidate the debated mtDNA bottleneck mechanism.

Authors:  Iain G Johnston; Joerg P Burgstaller; Vitezslav Havlicek; Thomas Kolbe; Thomas Rülicke; Gottfried Brem; Jo Poulton; Nick S Jones
Journal:  Elife       Date:  2015-06-02       Impact factor: 8.140

8.  Integrative analysis of independent transcriptome data for rare diseases.

Authors:  Zhe Zhang; Zeyad Hailat; Marni J Falk; Xue-wen Chen
Journal:  Methods       Date:  2014-06-27       Impact factor: 3.608

9.  The Arabidopsis NAC transcription factor ANAC096 cooperates with bZIP-type transcription factors in dehydration and osmotic stress responses.

Authors:  Zheng-Yi Xu; Soo Youn Kim; Do Young Hyeon; Dae Heon Kim; Ting Dong; Youngmin Park; Jing Bo Jin; Se-Hwan Joo; Seong-Ki Kim; Jong Chan Hong; Daehee Hwang; Inhwan Hwang
Journal:  Plant Cell       Date:  2013-11-27       Impact factor: 11.277

10.  Effect of bexarotene on differentiation of glioblastoma multiforme compared with ATRA.

Authors:  Jin-Chul Heo; Tae-Hoon Jung; Sungjin Lee; Hyun Young Kim; Gildon Choi; Myungeun Jung; Daeyoung Jung; Heung Kyoung Lee; Jung-Ok Lee; Ji-Hwan Park; Daehee Hwang; Ho Jun Seol; Heeyeong Cho
Journal:  Clin Exp Metastasis       Date:  2016-03-08       Impact factor: 5.150

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.