Evidence map›Paper›PMID 27585267›Full record

ArticleJournal of visualized experiments : JoVE2016

Screening for Functional Non-coding Genetic Variants Using Electrophoretic Mobility Shift Assay (EMSA) and DNA-affinity Precipitation Assay (DAPA).

Daniel E Miller, Zubin H Patel, Xiaoming Lu, Arthur T Lynch, Matthew T Weirauch, Leah C Kottyan

Open access · hybridAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 25% 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

13 citing papers in PubMed, 15 citations in OpenAlex.

  1. Trial
  2. Update on the genetics of allergic diseases.The Journal of allergy and clinical immunology · 2025
    Review
  3. Article
  4. Article
  5. Repression ofJournal of bacteriology · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genetics of eosinophilic esophagitis.Mucosal immunology · 2017
    Review
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

6 authors at 1 institution in 1 country.

Daniel E MillerCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital.
Zubin H PatelCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital; Medical Scientist Training Program, University of Cincinnati; Immunology Graduate Program, University of Cincinnati.
Xiaoming LuCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital; Immunology Graduate Program, University of Cincinnati.
Arthur T LynchCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital.
Matthew T WeirauchCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital; Divisions of Biomedical Informatics and Developmental Biology, Cincinnati Children's Hospital.
Leah C KottyanCenter for Autoimmune Genomics and Etiology, Cincinnati Children's Hospital; Leah.Kottyan@cchmc.org.
Cincinnati Children's Hospital Medical Center · US

Funding

Medical Scientist Training ProgramT32GM063483 · NIGMS · UNIVERSITY OF CINCINNATI · PI KHURANA HERSHEY, GURJIT K. · 2002 to 2022
$6.7M
Effect of disease-associated genetic variants on viral protein DNA bindingR21HG008186 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI WEIRAUCH, MATTHEW TYSON · 2015 to 2017
$464k
NHGRI NIH HHS R21 HG008186NIGMS NIH HHS T32 GM063483
6 · The paper itself

Abstract

Population and family-based genetic studies typically result in the identification of genetic variants that are statistically associated with a clinical disease or phenotype. For many diseases and traits, most variants are non-coding, and are thus likely to act by impacting subtle, comparatively hard to predict mechanisms controlling gene expression. Here, we describe a general strategic approach to prioritize non-coding variants, and screen them for their function. This approach involves computational prioritization using functional genomic databases followed by experimental analysis of differential binding of transcription factors (TFs) to risk and non-risk alleles. For both electrophoretic mobility shift assay (EMSA) and DNA affinity precipitation assay (DAPA) analysis of genetic variants, a synthetic DNA oligonucleotide (oligo) is used to identify factors in the nuclear lysate of disease or phenotype-relevant cells. For EMSA, the oligonucleotides with or without bound nuclear factors (often TFs) are analyzed by non-denaturing electrophoresis on a tris-borate-EDTA (TBE) polyacrylamide gel. For DAPA, the oligonucleotides are bound to a magnetic column and the nuclear factors that specifically bind the DNA sequence are eluted and analyzed through mass spectrometry or with a reducing sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) followed by Western blot analysis. This general approach can be widely used to study the function of non-coding genetic variants associated with any disease, trait, or phenotype.

Indexed as

DNA-Binding ProteinsDNA Restriction EnzymesElectrophoresis, Polyacrylamide GelElectrophoretic Mobility Shift AssayHumansProtein BindingTranscription FactorsDNA-Binding ProteinsDNA Restriction EnzymesTranscription Factors

Identifiers

PMID27585267
PMCPMC5091922
OpenAlexW2517764654

What OpenQuestion holds

Textmetadata
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.