RNA sequencing identifies

Margaret K Giler, H Alan Tucker, Amanda K Foote, Avery G Francis, Sean D Madsen, Yao-Zhong Liu, Kim C O'Connor

Abstract read

In one paragraph

Article in Cytotechnology, 2025. 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

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

7 authors.

Margaret K GilerDepartment of Chemical and Biomolecular Engineering, School of Science and Engineering, Tulane University, New Orleans, LA USA.

H Alan TuckerCenter for Stem Cell Research and Regenerative Medicine, School of Medicine, Tulane University, New Orleans, LA USA.

Amanda K FooteDepartment of Chemical and Biomolecular Engineering, School of Science and Engineering, Tulane University, New Orleans, LA USA.

Avery G FrancisDepartment of Chemical and Biomolecular Engineering, School of Science and Engineering, Tulane University, New Orleans, LA USA.

Sean D MadsenDepartment of Chemical and Biomolecular Engineering, School of Science and Engineering, Tulane University, New Orleans, LA USA.

Yao-Zhong LiuDepartment of Biostatistics and Data Science, School of Public Health and Tropical Medicine, Tulane University, New Orleans, LA USA.

Kim C O'ConnorDepartment of Chemical and Biomolecular Engineering, School of Science and Engineering, Tulane University, New Orleans, LA USA.ORCID 0000-0003-4030-3957

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Molecular profiles of mesenchymal stem cells (MSCs) are needed to standardize the composition and effectiveness of MSC therapeutics. This study employs RNA sequencing to identify genes to be used in concert with CD264 as a molecular profile of aging MSCs at a clinically relevant culture passage. CD264 Supplementary Information: The online version contains supplementary material available at 10.1007/s10616-025-00724-8.

Indexed as

AgingCD264MAP1AMesenchymal stem cellsPTTG1RNA sequencing

Identifiers

PMID39980838

DOI10.1007/s10616-025-00724-8

PMCPMC11839963

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.