Novel human ABCC9/SUR2 brain-expressed transcripts and an eQTL relevant to hippocampal sclerosis of aging

Peter T. Nelson, Wang Xia Wang, Bernard R. Wilfred, Angela Wei, James Dimayuga, Qingwei Huang, Eseosa Ighodaro, Sergey Artiushin, David W. Fardo

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

ABCC9 genetic polymorphisms are associated with increased risk for various human diseases including hippocampal sclerosis of aging. The main goals of this study were 1 > to detect the ABCC9 variants and define the specific 3′ untranslated region (3′UTR) for each variant in human brain, and 2 > to determine whether a polymorphism (rs704180) associated with risk for hippocampal sclerosis of aging pathology is also associated with variation in ABCC9 transcript expression and/or splicing. Rapid amplification of ABCC9 cDNA ends (3′RACE) provided evidence of novel 3′ UTR portions of ABCC9 in human brain. In silico and experimental studies were performed focusing on the single nucleotide polymorphism, rs704180. Analyses from multiple databases, focusing on rs704180 only, indicated that this risk allele is a local expression quantitative trait locus (eQTL). Analyses of RNA from human brains showed increased ABCC9 transcript levels in individuals with the risk genotype, corresponding with enrichment for a shorter 3′ UTR which may be more stable than variants with the longer 3′ UTR. MicroRNA transfection experiments yielded results compatible with the hypothesis that miR-30c causes down-regulation of SUR2 transcripts with the longer 3′ UTR. Thus we report evidence of complex ABCC9 genetic regulation in brain, which may be of direct relevance to human disease.

Original languageEnglish
Pages (from-to)1026-1039
Number of pages14
JournalJournal of Neurochemistry
Volume134
Issue number6
DOIs
StatePublished - Sep 1 2015

Bibliographical note

Publisher Copyright:
© 2015 International Society for Neurochemistry.

Keywords

  • KATP
  • SUR2A
  • SUR2Ab
  • SUR2B
  • TDP-43

ASJC Scopus subject areas

  • Biochemistry
  • Cellular and Molecular Neuroscience

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