Literature DB >> 34972656

Mitochondrial disease manifestations in relation to transcriptome location and function.

Vikram Jakkamsetti1, Seema Balasubramaniam2, Nidhi Grover2, Juan M Pascual3.   

Abstract

Localization within the nervous system provides context for neurological disease manifestations and treatment, with numerous disease mechanisms exhibiting predilect locations. In contrast, the molecular function of most disease-causing genes is generally considered dissociated from such brain regional correlations because most genes are expressed throughout the brain. We tested the factual basis for this dissociation by discerning between two distinct genetic disease mechanism possibilities: One, gene-specific, in which genetic disorders are poorly localizable because they are multiform at the molecular level, with each mutant gene acting more widely or complexly than via mere loss or gain of one function. The other, more general, where aspects shared by groups of genes such as membership in a gene set that sustains a concerted biological process accounts for a common or localizable phenotype. We analyzed mitochondrial substrate disorders as a paradigm of apparently heterogeneous diseases when considered from the point of view of their manifestations and individual function of their causal genes. We used publicly available transcriptomes, disease phenotypes published in peer-reviewed journals and Human Ontology classifications for 27 mitochondrial substrate metabolism diseases and analyzed if these disorders manifest common phenotypes and if this relates to common brain regions or cells as demarcated by their transcriptome. The most frequent phenotypic manifestations and brain structures involved were almost stereotypic regardless of the individual gene affected, correlating with the regional abundance of the transcriptome that served mitochondrial substrate metabolism. This also applied to the transcriptome of inhibitory neurons, which are dysfunctional in some mitochondrial diseases. This stands in contrast with resistance to dementia atrophy from other causes, which is known to also associate with greater expression of a similar fraction of the transcriptome. The results suggest that brain region or cell type dysfunction stemming from a broad process such as mitochondrial substrate metabolism is more relevant for disease manifestations than individual gene participation in specific molecular function.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Metabolism; Mitochondrial; Phenotype; Transcriptome

Mesh:

Year:  2021        PMID: 34972656      PMCID: PMC8858018          DOI: 10.1016/j.ymgme.2021.12.008

Source DB:  PubMed          Journal:  Mol Genet Metab        ISSN: 1096-7192            Impact factor:   4.797


  27 in total

Review 1.  Changed relative to what? Housekeeping genes and normalization strategies in human brain gene expression studies.

Authors:  Elizabeth M Tunbridge; Sharon L Eastwood; Paul J Harrison
Journal:  Biol Psychiatry       Date:  2010-07-31       Impact factor: 13.382

Review 2.  Highly energized inhibitory interneurons are a central element for information processing in cortical networks.

Authors:  Oliver Kann; Ismini E Papageorgiou; Andreas Draguhn
Journal:  J Cereb Blood Flow Metab       Date:  2014-06-04       Impact factor: 6.200

3.  Panel-Based Clinical Genetic Testing in 85 Children with Inherited Retinal Disease.

Authors:  Rachel L Taylor; Neil R A Parry; Stephanie J Barton; Christopher Campbell; Claire M Delaney; Jamie M Ellingford; Georgina Hall; Claire Hardcastle; Jiten Morarji; Elisabeth J Nichol; Lindsi C Williams; Sofia Douzgou; Jill Clayton-Smith; Simon C Ramsden; Vinod Sharma; Susmito Biswas; I Chris Lloyd; Jane L Ashworth; Graeme C Black; Panagiotis I Sergouniotis
Journal:  Ophthalmology       Date:  2017-03-22       Impact factor: 12.079

4.  Spectrum of neurological and survival outcomes in pyruvate dehydrogenase complex (PDC) deficiency: lack of correlation with genotype.

Authors:  Suzanne D DeBrosse; Kazuki Okajima; Shulin Zhang; Ghunwa Nakouzi; Christine L Schmotzer; Marilyn Lusk-Kopp; Mary Beth Frohnapfel; George Grahame; Douglas S Kerr
Journal:  Mol Genet Metab       Date:  2012-09-07       Impact factor: 4.797

5.  Molecular characterization of 82 patients with pyruvate dehydrogenase complex deficiency. Structural implications of novel amino acid substitutions in E1 protein.

Authors:  A Imbard; A Boutron; C Vequaud; M Zater; P de Lonlay; H Ogier de Baulny; C Barnerias; M Miné; C Marsac; J-M Saudubray; M Brivet
Journal:  Mol Genet Metab       Date:  2011-08-18       Impact factor: 4.797

6.  The Human Phenotype Ontology: a tool for annotating and analyzing human hereditary disease.

Authors:  Peter N Robinson; Sebastian Köhler; Sebastian Bauer; Dominik Seelow; Denise Horn; Stefan Mundlos
Journal:  Am J Hum Genet       Date:  2008-10-23       Impact factor: 11.025

7.  An anatomically comprehensive atlas of the adult human brain transcriptome.

Authors:  Michael J Hawrylycz; Ed S Lein; Angela L Guillozet-Bongaarts; Elaine H Shen; Lydia Ng; Jeremy A Miller; Louie N van de Lagemaat; Kimberly A Smith; Amanda Ebbert; Zackery L Riley; Chris Abajian; Christian F Beckmann; Amy Bernard; Darren Bertagnolli; Andrew F Boe; Preston M Cartagena; M Mallar Chakravarty; Mike Chapin; Jimmy Chong; Rachel A Dalley; Barry David Daly; Chinh Dang; Suvro Datta; Nick Dee; Tim A Dolbeare; Vance Faber; David Feng; David R Fowler; Jeff Goldy; Benjamin W Gregor; Zeb Haradon; David R Haynor; John G Hohmann; Steve Horvath; Robert E Howard; Andreas Jeromin; Jayson M Jochim; Marty Kinnunen; Christopher Lau; Evan T Lazarz; Changkyu Lee; Tracy A Lemon; Ling Li; Yang Li; John A Morris; Caroline C Overly; Patrick D Parker; Sheana E Parry; Melissa Reding; Joshua J Royall; Jay Schulkin; Pedro Adolfo Sequeira; Clifford R Slaughterbeck; Simon C Smith; Andy J Sodt; Susan M Sunkin; Beryl E Swanson; Marquis P Vawter; Derric Williams; Paul Wohnoutka; H Ronald Zielke; Daniel H Geschwind; Patrick R Hof; Stephen M Smith; Christof Koch; Seth G N Grant; Allan R Jones
Journal:  Nature       Date:  2012-09-20       Impact factor: 49.962

8.  Clinical application of whole-exome sequencing across clinical indications.

Authors:  Kyle Retterer; Jane Juusola; Megan T Cho; Patrik Vitazka; Francisca Millan; Federica Gibellini; Annette Vertino-Bell; Nizar Smaoui; Julie Neidich; Kristin G Monaghan; Dianalee McKnight; Renkui Bai; Sharon Suchy; Bethany Friedman; Jackie Tahiliani; Daniel Pineda-Alvarez; Gabriele Richard; Tracy Brandt; Eden Haverfield; Wendy K Chung; Sherri Bale
Journal:  Genet Med       Date:  2015-12-03       Impact factor: 8.822

Review 9.  Brain-Derived Neurotrophic Factor and Antidepressive Effect of Electroconvulsive Therapy: Systematic Review and Meta-Analyses of the Preclinical and Clinical Literature.

Authors:  M Polyakova; M L Schroeter; B M Elzinga; S Holiga; P Schoenknecht; E R de Kloet; M L Molendijk
Journal:  PLoS One       Date:  2015-11-03       Impact factor: 3.240

10.  Conserved cell types with divergent features in human versus mouse cortex.

Authors:  Rebecca D Hodge; Trygve E Bakken; Jeremy A Miller; Kimberly A Smith; Eliza R Barkan; Lucas T Graybuck; Jennie L Close; Brian Long; Nelson Johansen; Osnat Penn; Zizhen Yao; Jeroen Eggermont; Thomas Höllt; Boaz P Levi; Soraya I Shehata; Brian Aevermann; Allison Beller; Darren Bertagnolli; Krissy Brouner; Tamara Casper; Charles Cobbs; Rachel Dalley; Nick Dee; Song-Lin Ding; Richard G Ellenbogen; Olivia Fong; Emma Garren; Jeff Goldy; Ryder P Gwinn; Daniel Hirschstein; C Dirk Keene; Mohamed Keshk; Andrew L Ko; Kanan Lathia; Ahmed Mahfouz; Zoe Maltzer; Medea McGraw; Thuc Nghi Nguyen; Julie Nyhus; Jeffrey G Ojemann; Aaron Oldre; Sheana Parry; Shannon Reynolds; Christine Rimorin; Nadiya V Shapovalova; Saroja Somasundaram; Aaron Szafer; Elliot R Thomsen; Michael Tieu; Gerald Quon; Richard H Scheuermann; Rafael Yuste; Susan M Sunkin; Boudewijn Lelieveldt; David Feng; Lydia Ng; Amy Bernard; Michael Hawrylycz; John W Phillips; Bosiljka Tasic; Hongkui Zeng; Allan R Jones; Christof Koch; Ed S Lein
Journal:  Nature       Date:  2019-08-21       Impact factor: 49.962

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