Evidence map›Paper›PMID 40034311›Full record

ArticleHeliyon2025

Application of CIBERSORTx and BayesPrism to deconvolution of bulk RNA-seq data from human myocardium and skeletal muscle.

Marcella Conning-Rowland, Chew W Cheng, Oliver Brown, Marilena Giannoudi, Eylem Levelt, Lee D Roberts, Kathryn J Griffin, Richard M Cubbon

Abstract read
In one paragraph

Article in Heliyon, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Associations of adult respiratory lung function with diaphragm transcriptome.American journal of respiratory cell and molecular biology · 2026
    Article
  4. Article
  5. Article
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  7. 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

8 authors.

Marcella Conning-RowlandLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Chew W ChengLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Oliver BrownLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Marilena GiannoudiLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Eylem LeveltLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Lee D RobertsLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Kathryn J GriffinLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.
Richard M CubbonLeeds Institute of Cardiovascular and Metabolic Medicine, The University of Leeds, Leeds, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA-sequencing (RNA-seq) is an important tool to explore molecular mechanisms of disease. Technological advances mean this can be performed at the single-cell level, but the large sample sizes needed in clinical studies are currently prohibitively expensive and complex. Deconvolution of bulk RNA-seq offers an opportunity to bridge this gap by defining the cell lineage composition of samples. This approach is widely used in immunology studies, but currently there are no validated pipelines for researchers analysing human myocardium or skeletal muscle. Here, we describe the application and

Indexed as

AgeDeconvolutionMyocardiumRNA-SeqSexSkeletal muscle

Identifiers

PMID40034311
PMCPMC11872574

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.