Evidence map›Paper›PMID 41368625›Full record

ArticleInternational journal of genomics2025

Transcriptomic Analysis of Gingival Tissues: Insights Into Gene Expression Profiles.

Saravanan Sampoornam Pape Reddy, Yash Dhiman, Delfin Lovelina Francis, Manish Rathi, Ankit Gupta, Ruchi Harish, Balaji Manohar, Shaili Pradhan

Abstract read
In one paragraph

Article in International journal of genomics, 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. 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.

Saravanan Sampoornam Pape ReddyDepartment of Periodontology, Army Dental Corps, New Delhi, India.ORCID https://orcid.org/0000-0003-1391-6125
Yash DhimanSchool of Biosciences, University of Birmingham, Edgbaston, UK, birmingham.ac.uk.ORCID https://orcid.org/0009-0001-4316-3614
Delfin Lovelina FrancisDepartment of Public Health Dentistry, Saveetha Dental College and Hospitals, Saveetha University, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, Tamil Nadu, India, saveetha.com.ORCID https://orcid.org/0000-0002-3355-1322
Manish RathiDepartment of Periodontology, Army Dental Centre (Research & Referral), New Delhi, India.ORCID https://orcid.org/0000-0002-7689-2506
Ankit GuptaDepartment of Periodontology, Army Dental Centre (Research & Referral), New Delhi, India.ORCID https://orcid.org/0000-0003-0536-1270
Ruchi HarishDepartment of Periodontology, Army Dental Centre (Research & Referral), New Delhi, India.ORCID https://orcid.org/0000-0003-1048-3870
Balaji ManoharDepartment of Periodontology, Geetanjali Dental and Research Institute, Geetanjali University, Udaipur, Rajasthan, India, geetanjaliuniversity.com.ORCID https://orcid.org/0000-0001-9502-4563
Shaili PradhanDepartment of Periodontology, Kathmandu Medical College Public Limited, Kathmandu, Nepal.ORCID https://orcid.org/0000-0003-4708-8209

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study was to understand the transcriptome and molecular pathways that drive unique functional characteristics of human gingiva. Materials and Methods: Gene expression data were obtained from the NCBI GEO database, including GSE38617 (connective tissue [CT]) and GSE7224 (gingival epithelium [GE]). Raw data were preprocessed and filtered for healthy samples. Differential gene expression analysis was performed using the limma package in R, with a significance cutoff of log Results: The analysis highlighted 11,096 DEGs between the dissected tissues. In CT, 7564 genes were upregulated in extracellular matrix (ECM) organization, collagen synthesis, and immunomodulation. GE had a total of 3532 upregulated genes enriched in epithelial barrier integrity, antimicrobial defense, and keratinocyte differentiation. These patterns were confirmed using key markers (CT: COL1A1 and COL3A1 and GE: DEFB1 and KRT10). In CT, pathway enrichment showed PI3K-Akt signaling and ECM-receptor interaction, whereas GE was characterized by tight junctions and the IL-17 signaling pathway. Conclusion: The differences in transcriptional landscapes of CT and GE illustrate specialized functions of each tissue type in maintaining periodontal health. Whereas CT focuses on ECM preservation and its immunomodulatory role, GE emphasizes antimicrobial defense and barrier function.

Indexed as

computational biologyconnective tissueepitheliumgingivasequence analysis

Identifiers

PMID41368625
PMCPMC12683359

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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.