A computational study to assess the polymorphic landscape of matrix metalloproteinase 3 promoter and its effects on transcriptional activity.


Journal

Computers in biology and medicine
ISSN: 1879-0534
Titre abrégé: Comput Biol Med
Pays: United States
ID NLM: 1250250

Informations de publication

Date de publication:
06 2022
Historique:
received: 30 11 2021
revised: 11 03 2022
accepted: 11 03 2022
pubmed: 27 3 2022
medline: 20 5 2022
entrez: 26 3 2022
Statut: ppublish

Résumé

Matrix metalloproteinase 3 (MMP3) plays a crucial role in cancer progression and development by proteolyzing extracellular matrix substrates. Primarily, the expression of MMP3 is regulated at the transcriptional level. The minute interplay of various transcription factor binding motifs at the promoter region is responsible for the altered expression of the genes. Single nucleotide polymorphism (SNP) at the transcription factor binding sites shows specific effects on gene expressions. Genome-wide association study (GWAS) strongly reported the association of common SNPs (rs3025058, rs522616, and rs617819) of MMP3 promoter with disease progression. The insufficient functional analysis of these promoter SNPs indicates the need for extensive mechanistic analysis on the effects of allelic variants upon transcription factor binding at MMP3 promoter. The binding of transcription factors on the MMP3 promoter sequence was investigated by a virtual laboratory. The interaction between the specific transcription factor and promoter DNA with allelic variants was analyzed by computational tools. It was found that transcription factor c-Myb and Smad4 binding on MMP3 promoter were altered due to the presence of rs522616 and rs617819 SNPs, respectively. Further, the binding affinity of Smad4 to the MMP3 promoter containing C allele at -375 region is higher than that of its allelic variant G. This study presented that the complex of Smad4-DNA fragment containing C allele has higher binding affinity and stability as compared with its allelic variant. Hence, it is predicted that rs617819 polymorphism directly affects the Smad4 binding motif on MMP3 promoter and alters its gene expression.

Sections du résumé

BACKGROUND
Matrix metalloproteinase 3 (MMP3) plays a crucial role in cancer progression and development by proteolyzing extracellular matrix substrates. Primarily, the expression of MMP3 is regulated at the transcriptional level. The minute interplay of various transcription factor binding motifs at the promoter region is responsible for the altered expression of the genes. Single nucleotide polymorphism (SNP) at the transcription factor binding sites shows specific effects on gene expressions. Genome-wide association study (GWAS) strongly reported the association of common SNPs (rs3025058, rs522616, and rs617819) of MMP3 promoter with disease progression. The insufficient functional analysis of these promoter SNPs indicates the need for extensive mechanistic analysis on the effects of allelic variants upon transcription factor binding at MMP3 promoter.
METHODS
The binding of transcription factors on the MMP3 promoter sequence was investigated by a virtual laboratory. The interaction between the specific transcription factor and promoter DNA with allelic variants was analyzed by computational tools.
RESULTS
It was found that transcription factor c-Myb and Smad4 binding on MMP3 promoter were altered due to the presence of rs522616 and rs617819 SNPs, respectively. Further, the binding affinity of Smad4 to the MMP3 promoter containing C allele at -375 region is higher than that of its allelic variant G.
CONCLUSION
This study presented that the complex of Smad4-DNA fragment containing C allele has higher binding affinity and stability as compared with its allelic variant. Hence, it is predicted that rs617819 polymorphism directly affects the Smad4 binding motif on MMP3 promoter and alters its gene expression.

Identifiants

pubmed: 35339097
pii: S0010-4825(22)00196-2
doi: 10.1016/j.compbiomed.2022.105404
pii:
doi:

Substances chimiques

Transcription Factors 0
DNA 9007-49-2
Matrix Metalloproteinase 3 EC 3.4.24.17

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

105404

Informations de copyright

Copyright © 2022 Elsevier Ltd. All rights reserved.

Auteurs

Payel Banik (P)

School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, West Bengal, India; Department of Physiology, A.B.N. Seal College, Cooch Behar, West Bengal, India.

Ranabir Majumder (R)

School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, West Bengal, India.

Anik Mandal (A)

Electronics and Electrical Communication Engineering, Indian Institute of Technology, Kharagpur, West Bengal, India.

Sanjib Dey (S)

Life Sciences Solutions Group, Thermo Fisher Scientific. Invitrogen Bioservices India Pvt. Ltd, Kolkata, West Bengal, India.

Mahitosh Mandal (M)

School of Medical Science and Technology, Indian Institute of Technology, Kharagpur, West Bengal, India. Electronic address: mahitosh@smst.iitkgp.ac.in.

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Classifications MeSH