Literature DB >> 25446395

Tissue-specific mtDNA abundance from exome data and its correlation with mitochondrial transcription, mass and respiratory activity.

Anna Maria D'Erchia1, Anna Atlante2, Gemma Gadaleta1, Giulio Pavesi3, Matteo Chiara3, Caterina De Virgilio1, Caterina Manzari2, Francesca Mastropasqua1, Gian Marco Prazzoli3, Ernesto Picardi1, Carmela Gissi3, David Horner3, Aurelio Reyes4, Elisabetta Sbisà5, Apollonia Tullo5, Graziano Pesole6.   

Abstract

Eukaryotic cells contain a population of mitochondria, variable in number and shape, which in turn contain multiple copies of a tiny compact genome (mtDNA) whose expression and function is strictly coordinated with the nuclear one. mtDNA copy number varies between different cell or tissues types, both in response to overall metabolic and bioenergetics demands and as a consequence or cause of specific pathological conditions. Here we present a novel and reliable methodology to assess the effective mtDNA copy number per diploid genome by investigating off-target reads obtained by whole-exome sequencing (WES) experiments. We also investigate whether and how mtDNA copy number correlates with mitochondrial mass, respiratory activity and expression levels. Analyzing six different tissues from three age- and sex-matched human individuals, we found a highly significant linear correlation between mtDNA copy number estimated by qPCR and the frequency of mtDNA off target WES reads. Furthermore, mtDNA copy number showed highly significant correlation with mitochondrial gene expression levels as measured by RNA-Seq as well as with mitochondrial mass and respiratory activity. Our methodology makes thus feasible, at a large scale, the investigation of mtDNA copy number in diverse cell-types, tissues and pathological conditions or in response to specific treatments.
Copyright © 2014 © Elsevier B.V. and Mitochondria Research Society. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bioinformatics tools; Mitochondrial DNA; Mitochondrial activity; Mitochondrial gene expression; Nucleo-mitochondrial cross-talk; Whole-exome sequencing

Mesh:

Substances:

Year:  2014        PMID: 25446395     DOI: 10.1016/j.mito.2014.10.005

Source DB:  PubMed          Journal:  Mitochondrion        ISSN: 1567-7249            Impact factor:   4.160


  56 in total

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4.  Mitochondrial quality control: Cell-type-dependent responses to pathological mutant mitochondrial DNA.

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7.  Mitochondrial transcription factor A regulation of mitochondrial degeneration in experimental diabetic neuropathy.

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Journal:  Am J Physiol Endocrinol Metab       Date:  2015-05-05       Impact factor: 4.310

8.  Mitochondrial DNA copy number in peripheral blood leukocytes is associated with biochemical recurrence in prostate cancer patients in African Americans.

Authors:  Junfeng Xu; Wen-Shin Chang; Chia-Wen Tsai; Da-Tian Bau; John W Davis; Timothy C Thompson; Christopher J Logothetis; Jian Gu
Journal:  Carcinogenesis       Date:  2020-05-14       Impact factor: 4.944

9.  RNentropy: an entropy-based tool for the detection of significant variation of gene expression across multiple RNA-Seq experiments.

Authors:  Federico Zambelli; Francesca Mastropasqua; Ernesto Picardi; Anna Maria D'Erchia; Graziano Pesole; Giulio Pavesi
Journal:  Nucleic Acids Res       Date:  2018-05-04       Impact factor: 16.971

10.  Loss of the antioxidant enzyme CuZnSOD (Sod1) mimics an age-related increase in absolute mitochondrial DNA copy number in the skeletal muscle.

Authors:  Dustin R Masser; Nicholas W Clark; Holly Van Remmen; Willard M Freeman
Journal:  Age (Dordr)       Date:  2016-07-21
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