Evidence map›Paper›PMID 37576554›Full record

ArticleFrontiers in genetics2023

Transcriptomic analysis of paired healthy human skeletal muscles to identify modulators of disease severity in DMD.

Shirley Nieves-Rodriguez, Florian Barthélémy, Jeremy D Woods, Emilie D Douine, Richard T Wang, Deirdre D Scripture-Adams, Kevin N Chesmore, Francesca Galasso, M Carrie Miceli, Stanley F Nelson

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

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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

10 authors at 1 institution in 1 country.

Shirley Nieves-RodriguezDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Florian BarthélémyCenter for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, United States.
Jeremy D WoodsDepartment of Pediatrics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Emilie D DouineCenter for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, United States.
Richard T WangDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Deirdre D Scripture-AdamsCenter for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, United States.
Kevin N ChesmoreDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
Francesca GalassoDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
M Carrie MiceliCenter for Duchenne Muscular Dystrophy at UCLA, Los Angeles, CA, United States.
Stanley F NelsonDepartment of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States.
University of California, Los Angeles · US

Funding

Training Grant in Genomic Analysis and InterpretationT32HG002536 · NHGRI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Valerie A Arboleda, Harold Pimentel · 2002 to 2026
$8.6M
Muscle Cell Biology, Pathophysiology, and TherapeuticsT32AR065972 · NIAMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Rachelle Hope Crosbie, THOMAS A. RANDO · 2016 to 2026
$3.9M
NHGRI NIH HHS T32 HG002536NIAMS NIH HHS T32 AR065972
6 · The paper itself

Abstract

Muscle damage and fibro-fatty replacement of skeletal muscles is a main pathologic feature of Duchenne muscular dystrophy (DMD) with more proximal muscles affected earlier and more distal affected later in the disease course, suggesting that different skeletal muscle groups possess distinctive characteristics that influence their susceptibility to disease. To explore transcriptomic factors driving differential gene expression and modulating DMD skeletal muscle severity, we characterized the transcriptome of vastus lateralis (VL), a more proximal and susceptible muscle, relative to tibialis anterior (TA), a more distal and protected muscle, in 15 healthy individuals using bulk RNA sequencing to identify gene expression differences that may mediate their relative susceptibility to damage with loss of dystrophin. Matching single nuclei RNA sequencing data was generated for 3 of the healthy individuals, to infer cell composition in the bulk RNA sequencing dataset and to improve mapping of differentially expressed genes to their cell source of expression. A total of 3,410 differentially expressed genes were identified and mapped to cell type using single nuclei RNA sequencing of muscle, including long non-coding RNAs and protein coding genes. There was an enrichment of genes involved in calcium release from the sarcoplasmic reticulum, particularly in the myofibers and these myofiber genes were higher in the VL. There was an enrichment of genes in "Collagen-Containing Extracellular Matrix" expressed by fibroblasts, endothelial, smooth muscle and pericytes, with most genes higher in the TA, as well as genes in "Regulation Of Apoptotic Process" expressed across all cell types. Previously reported genetic modifiers were also enriched within the differentially expressed genes. We also identify 6 genes with differential isoform usage between the VL and TA. Lastly, we integrate our findings with DMD RNA sequencing data from the TA, and identify "Collagen-Containing Extracellular Matrix" and "Negative Regulation Of Apoptotic Process" as differentially expressed between DMD compared to healthy. Collectively, these findings propose novel candidate mechanisms that may mediate differential muscle susceptibility in muscular dystrophies and provide new insight into potential therapeutic targets.

Indexed as

DMDgene expressionmusclemuscle susceptibilitysingle nuclei RNAseqtranscriptomics

Identifiers

PMID37576554
PMCPMC10415210
OpenAlexW4385324309

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.