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Complete Workflow for High Throughput Human Single Skeletal Muscle Fiber Proteomics.
Momenzadeh, Amanda; Jiang, Yuming; Kreimer, Simion; Teigen, Laura E; Zepeda, Carlos S; Haghani, Ali; Mastali, Mitra; Song, Yang; Hutton, Alexandre; Parker, Sarah J; Van Eyk, Jennifer E; Sundberg, Christopher W; Meyer, Jesse G.
Afiliação
  • Momenzadeh A; Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Jiang Y; Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Kreimer S; Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Teigen LE; Department of Computational Biomedicine, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Zepeda CS; Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Haghani A; Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Mastali M; Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Song Y; Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Hutton A; Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
  • Parker SJ; Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
  • Van Eyk JE; Advanced Clinical Biosystems Research Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Sundberg CW; Smidt Heart Institute, Cedars Sinai Medical Center, Los Angeles, California, USA.
  • Meyer JG; Department of Physical Therapy, Marquette University, Milwaukee, Wisconsin, USA.
bioRxiv ; 2023 Feb 23.
Article em En | MEDLINE | ID: mdl-36865126
Skeletal muscle is a major regulatory tissue of whole-body metabolism and is composed of a diverse mixture of cell (fiber) types. Aging and several diseases differentially affect the various fiber types, and therefore, investigating the changes in the proteome in a fiber-type specific manner is essential. Recent breakthroughs in isolated single muscle fiber proteomics have started to reveal heterogeneity among fibers. However, existing procedures are slow and laborious requiring two hours of mass spectrometry time per single muscle fiber; 50 fibers would take approximately four days to analyze. Thus, to capture the high variability in fibers both within and between individuals requires advancements in high throughput single muscle fiber proteomics. Here we use a single cell proteomics method to enable quantification of single muscle fiber proteomes in 15 minutes total instrument time. As proof of concept, we present data from 53 isolated skeletal muscle fibers obtained from two healthy individuals analyzed in 13.25 hours. Adapting single cell data analysis techniques to integrate the data, we can reliably separate type 1 and 2A fibers. Sixty-five proteins were statistically different between clusters indicating alteration of proteins involved in fatty acid oxidation, muscle structure and regulation. Our results indicate that this method is significantly faster than prior single fiber methods in both data collection and sample preparation while maintaining sufficient proteome depth. We anticipate this assay will enable future studies of single muscle fibers across hundreds of individuals, which has not been possible previously due to limitations in throughput.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article