Evidence map›Paper›PMID 36744868›Full record

ArticleeLife2023

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 A C 't Hoen, Hermien E Kan and 1 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
2.8field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Whole-Body Pattern of Muscle Degeneration and Progression in Sarcoglycanopathies.Annals of clinical and translational neurology · 2026
    Article
  3. Observational
  4. Article
  5. Article
  6. Deubiquitinases in muscle physiology and disorders.Biochemical Society transactions · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors at 3 institutions in 3 countries.

Tooba Abbassi-DaloiiDepartment of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-4904-3269
Salma El AbdellaouiDepartment of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.
Lenard M VoortmanDivision of Cell and Chemical Biology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0001-9794-067X
Thom T J VeegerC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.
Davy CatsSequencing Analysis Support Core, Leiden University Medical Center, Leiden, Netherlands.
Hailiang MeiSequencing Analysis Support Core, Leiden University Medical Center, Leiden, Netherlands.
Duncan E MeuffelsOrthopedic and Sport Medicine Department, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-5372-6003
Ewoud van ArkelOrthopedics, Medisch Centrum Haaglanden, Den Haag, Netherlands.
Peter A C 't HoenDepartment of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0003-4450-3112
Hermien E KanC.J. Gorter MRI Center, Department of Radiology, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0002-5772-7177
Vered RazDepartment of Human Genetics, Leiden University Medical Center, Leiden, Netherlands.ORCID 0000-0003-3152-1952
Leiden University Medical Center · NLRadboud University Nijmegen · NLMedisch Centrum Haaglanden · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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 (

Indexed as

Muscle Fibers, Fast-TwitchTranscriptomeEndothelial CellsHealthy VolunteersHumansLegMaleMuscle Fibers, Slow-TwitchMuscle, Skeletalchromosomesgene expressionhumanimage analysismuscle fiberneurosciencetranscription factors

Identifiers

PMID36744868
PMCPMC9988256
OpenAlexW4319294507

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.