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Title

Transcriptomic profiling for identifying differentially expressed genes in aneurysm

 

Authors

G. Shirley Lois, Shanmugapriya Murugan, Mohana Shanmugam Jaganathan, S. Dhanush Kumar & J. Jino Blessy*

 

Affiliation

Department of Bioinformatics, Sri Ramachandra Faculty of Engineering and Technology, Sri Ramachandra Institute of Higher Education and Research, Chennai, India; *Corresponding author

 

Email

G. Shirley Lois - E-mail: b0122053@sriher.edu.in

Shanmugapriya Murugan - E-mail: M.shammy18@icloud.com
Mohana Shanmugam Jaganathan - E-mail: sjmohana@sriramachandra.edu.in

S. Dhanush Kumar - E-mail: e8123031@sriher.edu.in
J. Jino Blessy - E-mail: jinoblessy@sriramachandra.edu.in

 

Article Type

Research Article

 

Date

Received March 1, 2026; Revised March 31, 2026; Accepted March 31, 2026, Published March 31, 2026

 

Abstract

Aneurysm progression is associated with complex molecular alterations that are insufficiently studied at transcriptomics level. An aneurysm is characterized as a bulge or a weak spot in a blood artery's wall that causes the vessel to abnormally enlarge or balloon, exceeding 50% of its normal diameter. In the present study aneurysm RNA sequencing (RNA-Seq) dataset involving 14 samples, which include 7 controls and 7 treatments was selected for the analysis. Pathway analysis showed the involvement of key genes in major shifts within lipid metabolism pathways. The protein-protein interaction (PPI) network analysis using the STRING database identified key hub genes that were significantly differentially expressed, including LIPE, SREBF1, SCARB2, LPL, PNPLA2, UCP1, CIDEC, DGAT2, CIDEA and FABP4. These key gene-encoded proteins may be prominent drug targets for future interventions aimed at treating aneurysms.

 

Keywords

Aneurysm, RNA sequencing (RNA-Seq), differential gene expression, protein-protein interactions (PPI), key genes

 

Citation

Lois et al. Bioinformation 22(3): 1789-1793 (2026)

 

Edited by

P Kangueane

 

ISSN

0973-2063

 

Publisher

Biomedical Informatics

 

License

This is an Open Access article which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. This is distributed under the terms of the Creative Commons Attribution License.