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

Tooba Abbassi-Daloii, Salma el Abdellaoui, Lenard M. Voortman, Thom T. J. Veeger, Davy Cats, Hailiang Mei, Duncan E. Meuffels, Ewoud van Arkel, Peter Bram 't Hoen*, Hermien Kan*, Vered Raz*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

Skeletal muscles support the stability and mobility of the skeleton but differ in biome-chanical 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 oxida -tive 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 hybrid-ization. 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 special-ization of human leg muscles, and provides a novel resource to study muscle- specific molecular features, which could be linked with (patho)physiological processes.
Original languageEnglish
Article numbere80500
Number of pages29
JournalElife
Volume12
DOIs
Publication statusPublished - 6 Feb 2023

Keywords

  • muscle fiber
  • transcription factors
  • image analysis
  • Human
  • GENE-EXPRESSION
  • SKELETAL-MUSCLE
  • FIBER TYPES
  • MEAN-SHIFT
  • HOX GENES
  • PACKAGE
  • INVOLVEMENT
  • MRI
  • CLUSTERS
  • PATTERN

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