Evidence map›Paper›PMID 40728983›Full record

ArticleCurrent issues in molecular biology2025

Transcriptomic Differences Between Human Trabecular Meshwork Stem Cells and Trabecular Meshwork Cells Reveal Specific Biomarker Profiles.

Rong Du, Ajay Kumar, Enzhi Yang, Jingxue Zhang, Ningli Wang, Yiqin Du

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PubMed Full text at PMC Publisher
In one paragraph

Article in Current issues in molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

6 authors.

Rong DuBeijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Intelligent Diagnosis Technology and Equipment for Optic Nerve-Related Eye Diseases, Capital Medical University, Beijing 100730, China.
Ajay KumarDepartment of Ophthalmology, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Enzhi YangDepartment of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.
Jingxue ZhangBeijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Intelligent Diagnosis Technology and Equipment for Optic Nerve-Related Eye Diseases, Capital Medical University, Beijing 100730, China.ORCID 0000-0002-9512-9602
Ningli WangBeijing Institute of Ophthalmology, Beijing Tongren Eye Center, Beijing Tongren Hospital, Beijing Key Laboratory of Intelligent Diagnosis Technology and Equipment for Optic Nerve-Related Eye Diseases, Capital Medical University, Beijing 100730, China.ORCID 0000-0002-8933-4482
Yiqin DuDepartment of Ophthalmology, Morsani College of Medicine, University of South Florida, Tampa, FL 33612, USA.ORCID 0000-0002-4330-0957

Funding

University of South Florida startup
6 · The paper itself

Abstract

Glaucoma is a leading cause of irreversible blindness, normally associated with dysfunction and degeneration of the trabecular meshwork (TM) as the primary cause. Trabecular meshwork stem cells (TMSCs) have emerged as promising candidates for TM regeneration toward glaucoma therapies, yet their molecular characteristics remain poorly defined. In this study, we performed a comprehensive transcriptomic comparison of human TMSCs and human TM cells (TMCs) using RNA sequencing and microarray analyses, followed by qPCR validation. A total of 465 differentially expressed genes were identified, with 254 upregulated in TMSCs and 211 in TMCs. A functional enrichment analysis revealed that TMSCs are associated with development, immune signaling, and extracellular matrix remodeling pathways, while TMCs are enriched in structural, contractile, and adhesion-related functions. A network topology analysis identified

Indexed as

glaucomahub genesmicroarrayRNA sequencingstem cellstrabecular meshworktranscriptomic profiling

Identifiers

PMID40728983
PMCPMC12293446

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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.