Proteomics

Dataset Information

0

Muscle proteomics of mitochondrial disorders


ABSTRACT: Mitochondrial DNA mutations progressively compromise the respiratory chain of skeletal muscle, resulting in a mosaic of metabolically healthy and defective fibers. This heterogeneity is the best diagnostic signpost of mitochondrial disorders. However, the single fiber investigation of its molecular basis has been beyond the capability of large-scale technologies so far. We here use a novel approach to single muscle fibers proteomics, based on laser capture microdissection to excise thin sections of individual muscle fibers from frozen biopsies. Combined with a highly sensitive mass spectrometry-based proteomics workflow, this technique allowed us to analyze healthy and defective muscle fibers from patients with mitochondrial disorders.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Skeletal Muscle Fiber

DISEASE(S): Mitochondrial Myopathy

SUBMITTER: Marta Murgia  

LAB HEAD: Thomas Klopstock

PROVIDER: PXD010489 | Pride | 2019-11-15

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
MaxQuant_Output.zip Other
MurgiaetalMitomyopathiesRAW.rar Other
Items per page:
1 - 2 of 2
altmetric image

Publications

Proteomics of Cytochrome c Oxidase-Negative versus -Positive Muscle Fiber Sections in Mitochondrial Myopathy.

Murgia Marta M   Tan Jing J   Geyer Philipp E PE   Doll Sophia S   Mann Matthias M   Klopstock Thomas T  

Cell reports 20191201 12


The mosaic distribution of cytochrome c oxidase<sup>+</sup> (COX<sup>+</sup>) and COX<sup>-</sup> muscle fibers in mitochondrial disorders allows the sampling of fibers with compensated and decompensated mitochondrial function from the same individual. We apply laser capture microdissection to excise individual COX<sup>+</sup> and COX<sup>-</sup> fibers from the biopsies of mitochondrial myopathy patients. Using mass spectrometry-based proteomics, we quantify >4,000 proteins per patient. While C  ...[more]

Similar Datasets

2007-04-02 | E-MEXP-939 | biostudies-arrayexpress
2020-12-21 | PXD012824 | Pride
2013-12-01 | E-GEOD-48280 | biostudies-arrayexpress
2021-06-26 | E-MTAB-10582 | biostudies-arrayexpress
2008-11-22 | E-GEOD-13205 | biostudies-arrayexpress
2015-01-20 | E-GEOD-43698 | biostudies-arrayexpress
2015-03-05 | E-GEOD-60931 | biostudies-arrayexpress
2012-02-21 | E-GEOD-28392 | biostudies-arrayexpress
2022-07-25 | E-MTAB-11318 | biostudies-arrayexpress
2023-04-01 | GSE228362 | GEO