Evidence map›Paper›PMID 39416175›Full record

ArticlebioRxiv : the preprint server for biology2024

Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling.

Jonathan C Mcleod, Changhyun Lim, Tanner Stokes, Jalil-Ahmad Sharif, Vagif Zeynalli, Lucas Wiens, Alysha C D'Souza, Lauren Colenso-Semple, James McKendry, Robert W Morton and 7 more

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Jonathan C McleodDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-2471-7482
Changhyun LimDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Tanner StokesDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Jalil-Ahmad SharifFaculty of Medicine and Dentistry, Queen Mary University London, London, UK.
Vagif ZeynalliDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Lucas WiensDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Alysha C D'SouzaDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Lauren Colenso-SempleDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
James McKendryDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Robert W MortonDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Cameron J MitchellSchool of Kinesiology, University of British Columbia, BC, Canada.
Sara Y OikawaDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.
Claes WahlestedtUniversity of Miami Miller School of Medicine, Miami, FL, USA.
J Paul ChappleFaculty of Medicine and Dentistry, Queen Mary University London, London, UK.
Chris McGlorySchool of Kinesiology and Health Studies, Queens University, Kingston, ON, Canada.
James A TimmonsFaculty of Medicine and Dentistry, Queen Mary University London, London, UK.ORCID 0000-0002-2255-1220
Stuart M PhillipsDepartment of Kinesiology, McMaster University, Hamilton, Ontario, Canada.ORCID 0000-0002-1956-4098

Funding

NIA NIH HHS R56 AG061911
6 · The paper itself

Abstract

A majority of human genes produce non-protein-coding RNA (ncRNA), and some have roles in development and disease. Neither ncRNA nor human skeletal muscle is ideally studied using short-read sequencing, so we used a customised RNA pipeline and network modelling to study cell-type specific ncRNA responses during muscle growth at scale. We completed five human resistance-training studies (n=144 subjects), identifying 61% who successfully accrued muscle-mass. We produced 288 transcriptome-wide profiles and found 110 ncRNAs linked to muscle growth

Indexed as

AngiogenesisExerciseImmune CellMuscle GrowthSingle-CellSpatialTranscriptome

Identifiers

PMID39416175
PMCPMC11482748

What Socratic 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 Socratic graph.