A transcriptome atlas of leg muscles from healthy human volunteers reveals molecular and cellular signatures associated with muscle location

Author:

Abbassi-Daloii Tooba1ORCID,el Abdellaoui Salma1,Voortman Lenard M2ORCID,Veeger Thom TJ3,Cats Davy4,Mei Hailiang4,Meuffels Duncan E5ORCID,van Arkel Ewoud6,'t Hoen Peter AC17ORCID,Kan Hermien E38ORCID,Raz Vered1ORCID

Affiliation:

1. Department of Human Genetics, Leiden University Medical Center

2. Division of Cell and Chemical Biology, Leiden University Medical Center

3. C.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center

4. Sequencing Analysis Support Core, Leiden University Medical Center

5. Orthopedic and Sport Medicine Department, Erasmus MC, University Medical Center Rotterdam

6. Orthopedics, Medisch Centrum Haaglanden

7. Centre for Molecular and Biomolecular Informatics, Radboud Institute for Molecular Life Sciences, Radboud University Medical Center

8. Duchenne Center Netherlands

Abstract

Skeletal muscles support the stability and mobility of the skeleton but differ in biomechanical properties and physiological functions. The intrinsic factors that regulate muscle-specific characteristics are poorly understood. To study these, we constructed a large atlas of RNA-seq profiles from six leg muscles and two locations from one muscle, using biopsies from 20 healthy young males. We identified differential expression patterns and cellular composition across the seven tissues using three bioinformatics approaches confirmed by large-scale newly developed quantitative immune-histology procedures. With all three procedures, the muscle samples clustered into three groups congruent with their anatomical location. Concomitant with genes marking oxidative metabolism, genes marking fast- or slow-twitch myofibers differed between the three groups. The groups of muscles with higher expression of slow-twitch genes were enriched in endothelial cells and showed higher capillary content. In addition, expression profiles of Homeobox (HOX) transcription factors differed between the three groups and were confirmed by spatial RNA hybridization. We created an open-source graphical interface to explore and visualize the leg muscle atlas (https://tabbassidaloii.shinyapps.io/muscleAtlasShinyApp/). Our study reveals the molecular specialization of human leg muscles, and provides a novel resource to study muscle-specific molecular features, which could be linked with (patho)physiological processes.

Funder

Nederlandse Organisatie voor Wetenschappelijk Onderzoek

Association France Myopathies

Netherlands X-omics Initiative

Publisher

eLife Sciences Publications, Ltd

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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