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Identification of an Allele-Specific Transcription Factor Binding Interaction that May Regulate PLA2G2A Gene Expression.
Hara, Aki; Lu, Eric; Johnstone, Laurel; Wei, Michelle; Sun, Shudong; Hallmark, Brian; Watkins, Joseph C; Zhang, Hao Helen; Yao, Guang; Chilton, Floyd H.
Afiliação
  • Hara A; School of Nutritional Sciences and Wellness, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ, USA.
  • Lu E; Department of Molecular and Cellular Biology, The University of Arizona, Tucson, AZ, USA.
  • Johnstone L; School of Nutritional Sciences and Wellness, College of Agriculture and Life Sciences, The University of Arizona, Tucson, AZ, USA.
  • Wei M; Department of Molecular and Cellular Biology, The University of Arizona, Tucson, AZ, USA.
  • Sun S; Department of Mathematics, The University of Arizona, Tucson, AZ, USA.
  • Hallmark B; Statistics Interdisciplinary Program, The University of Arizona, Tucson, AZ, USA.
  • Watkins JC; BIO5 Institute, The University of Arizona, Tucson, AZ, USA.
  • Zhang HH; Department of Mathematics, The University of Arizona, Tucson, AZ, USA.
  • Yao G; Statistics Interdisciplinary Program, The University of Arizona, Tucson, AZ, USA.
  • Chilton FH; Department of Mathematics, The University of Arizona, Tucson, AZ, USA.
Bioinform Biol Insights ; 18: 11779322241261427, 2024.
Article em En | MEDLINE | ID: mdl-39081667
ABSTRACT
The secreted phospholipase A2 (sPLA2) isoform, sPLA2-IIA, has been implicated in a variety of diseases and conditions, including bacteremia, cardiovascular disease, COVID-19, sepsis, adult respiratory distress syndrome, and certain cancers. Given its significant role in these conditions, understanding the regulatory mechanisms impacting its levels is crucial. Genome-wide association studies (GWAS) have identified several single nucleotide polymorphisms (SNPs), including rs11573156, that are associated with circulating levels of sPLA2-IIA. The work in the manuscript leveraged 4 publicly available datasets to investigate the mechanism by which rs11573156 influences sPLA2-IIA levels via bioinformatics and modeling analysis. Through genotype-tissue expression (GTEx), 234 expression quantitative trait loci (eQTLs) were identified for the gene that encodes for sPLA2-IIA, PLA2G2A. SNP2TFBS was used to ascertain the binding affinities between transcription factors (TFs) to both the reference and alternative alleles of identified eQTL SNPs. Subsequently, candidate TF-SNP interactions were cross-referenced with the ChIP-seq results in matched tissues from ENCODE. SP1-rs11573156 emerged as the significant TF-SNP pair in the liver. Further analysis revealed that the upregulation of PLA2G2A transcript levels through the rs11573156 variant was likely affected by tissue SP1 protein levels. Using an ordinary differential equation based on Michaelis-Menten kinetic assumptions, we modeled the dependence of PLA2G2A transcription on SP1 protein levels, incorporating the SNP influence. Collectively, our analysis strongly suggests that the difference in the binding dynamics of SP1 to different rs11573156 alleles may underlie the allele-specific PLA2G2A expression in different tissues, a mechanistic model that awaits future direct experimental validation. This mechanism likely contributes to the variation in circulating sPLA2-IIA protein levels in the human population, with implications for a wide range of human diseases.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinform Biol Insights Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Bioinform Biol Insights Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos