Evidence map›Paper›PMID 39829641›Full record

Article3 Biotech2025

Weighted gene co-expression network analysis reveals the hub genes and molecular mechanism of quiescence.

J P Apoorvha, S Brindha, M Ganesan, Sujata Roy

Abstract read
In one paragraph

Article in 3 Biotech, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

J P ApoorvhaDepartment of Biotechnology, Rajalakshmi Engineering College, Thandalam, Chennai, 602105 India.
S BrindhaDepartment of Biotechnology, Rajalakshmi Engineering College, Thandalam, Chennai, 602105 India.
M GanesanDepartment of Biotechnology, Rajalakshmi Engineering College, Thandalam, Chennai, 602105 India.
Sujata RoyDepartment of Biotechnology, Rajalakshmi Engineering College, Thandalam, Chennai, 602105 India.ORCID 0000-0002-5203-2050

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hematopoietic stem cell (HSC) continues their functional integrity and return to quiescence quickly even after inflammatory and other proliferative stress. The mechanism which is responsible for this highly regulatory process is not understood clearly. Previous results have shown that CD53 is noticeably upregulated in HSCs in response to a variety of stimuli. Gene expression profile using RNASeq data of HSCs from the bone marrow and spleen of CD53 knock out and their wild-type littermate had been deposited by Greenberg and co-authors, in GEO database, "GSE219050". They reported that knockout of CD53 promotes continued cell cycle. To identify key genes and specific processes are affected in absence of CD53, we applied weighted gene co-expression analysis. The results show that cyan module is correlated and dark red and light cyan are anti-correlated with CD53 loss. CDK1 is identified as more connected gene or hub gene in cyan module and it is upregulated in the absence of CD53. Likewise, hub genes from dark-red module are EP300, EGF, MCL1, LPL and IGF1R. The gene enrichment analysis depicts, two biological processes, MAPK cascade and Delta Notch signalling were suppressed. Similarly, the biological processes involved in light-cyan module are chromatin organisation and hub genes are Ehmt2, Ezh2, Kdm1a, Rbbp4, Esr1 and Mysm1. It uncovers the roles of

Indexed as

CD53CDK1Chromatin organizationDelta Notch signalingHematopoietic stem cellMAPK

Identifiers

PMID39829641
PMCPMC11735823

What Socratic holds

Textmetadata
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.