Evidence map›Paper›PMID 20204374›Full record

ArticleMammalian genome : official journal of the International Mammalian Genome Society2010

Conserved regulatory motifs at phenylethanolamine N-methyltransferase (PNMT) are disrupted by common functional genetic variation: an integrated computational/experimental approach.

Juan L Rodríguez-Flores, Kuixing Zhang, Sun Woo Kang, Gen Wen, Sajalendu Ghosh, Ryan S Friese, Sushil K Mahata, Shankar Subramaniam, Bruce A Hamilton, Daniel T O'Connor

Open access · hybridAbstract read
In one paragraph

Article in Mammalian genome : official journal of the International Mammalian Genome Society, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.2field-weighted citation impact, top 35% of its field
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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. PhenylethanolaminePharmacogenomics · 2020
    Article
  3. Article
  4. 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

10 authors at 1 institution in 2 countries.

Juan L Rodríguez-FloresDepartment of Medicine, Institute for Genomic Medicine, University of California at San Diego School of Medicine, La Jolla, CA, USA. juan@ucsd.edu
Kuixing Zhang
Sun Woo Kang
Gen Wen
Sajalendu Ghosh
Ryan S Friese
Sushil K Mahata
Shankar Subramaniam
Bruce A Hamilton
Daniel T O'Connor
University of California, San Diego · US

Funding

Trafficking of catecholamine storage vesicle proteinsP01HL058120 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI O'CONNOR, DANIEL T · 1999 to 2009
$18.5M
UAB-UCSD O'Brien Core Center for Acute Kidney Injury ResearchP30DK079337 · NIDDK · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI AGARWAL, ANUPAM · 2008 to 2022
$18.3M
San Diego EXPORT Comprehensive NCMHD Research CenterP60MD000220 · NIMHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DALEY, SANDRA P · 2002 to 2011
$11.0M
MINORITY PREDOCTORAL FELLOWSHIP PROGRAMF31HG004247 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI RODRIGUEZ FLORES, JUAN LORENZO · 2006 to 2009
$115k
NHGRI NIH HHS F31 HG004247NHLBI NIH HHS HL58120NHLBI NIH HHS P01 HL058120NIDDK NIH HHS DK079337NIDDK NIH HHS P30 DK079337NIMHD NIH HHS MD000220NIMHD NIH HHS P60 MD000220
6 · The paper itself

Abstract

The adrenomedullary hormone epinephrine transduces environmental stressors into cardiovascular events (tachycardia and hypertension). Although the epinephrine biosynthetic enzyme PNMT genetic locus displays both linkage and association to such traits, genetic variation underlying these quantitative phenotypes is not established. Using an integrated suite of computational and experimental approaches, we elucidate a functional mechanism for common (minor allele frequencies > 30%) genetic variants at PNMT. Transcription factor binding motif prediction on mammalian PNMT promoter alignments identified two variant regulatory motifs, SP1 and EGR1, disrupted by G-367A (rs3764351), and SOX17 motif created by G-161A (rs876493). Electrophoretic mobility shifts of approximately 30-bp oligonucleotides containing ancestral versus variant alleles validated the computational hypothesis. Queried against chromaffin cell nuclear protein extracts, only the G-367 and -161A alleles shifted. Specific antibodies applied in electrophoretic gel shift experiments confirmed binding of SP1 and EGR1 to G-367 and SOX17 to -161A. The in vitro allele-specific binding was verified in cella through promoter reporter assays: lower activity for -367A haplotypes cotransfected by SP1 (p = 0.002) and EGR1 (p = 0.034); and enhanced inhibition of -161A haplotypes (p = 0.0003) cotransfected with SP1 + SOX17. Finally, we probed cis/trans regulation with endogenous factors by chromatin immunoprecipitation using SP1/EGR1/SOX17 antibodies. We describe the systematic application of complementary computational and experimental techniques to detect and document functional genetic variation in a trait-associated regulatory region. The results provide insight into cis and trans transcriptional mechanisms whereby common variation at PNMT can give rise to quantitative changes in human physiological and disease traits. Thus, PNMT variants in cis may interact with nuclear factors in trans to govern adrenergic activity.

Indexed as

Conserved SequenceGenetic VariationAllelesAmino Acid SubstitutionAnimalsAntibody SpecificityBase SequenceChromatinComputational BiologyEarly Growth Response Protein 1Electrophoretic Mobility Shift AssayHaplotypesHumansMolecular Sequence DataPC12 CellsPhenylethanolamine N-MethyltransferaseChromatinEarly Growth Response Protein 1EGR1 protein, humanPhenylethanolamine N-MethyltransferaseSOX17 protein, humanSOXF Transcription FactorsSp1 Transcription Factor

Identifiers

PMID20204374
PMCPMC2844968
OpenAlexW2001287106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.