Next Article in Journal
Time-Resolved Study of Nanoparticle Induced Apoptosis Using Microfabricated Single Cell Arrays
Next Article in Special Issue
Advantages of Array-Based Technologies for Pre-Emptive Pharmacogenomics Testing
Previous Article in Journal / Special Issue
Quantitative Trait Locus and Brain Expression of HLA-DPA1 Offers Evidence of Shared Immune Alterations in Psychiatric Disorders
Article Menu

Export Article

From the third issue of 2017, Microarrays has changed its name to High-Throughput.

Open AccessFeature PaperArticle
Microarrays 2016, 5(2), 7; doi:10.3390/microarrays5020007

A Mismatch EndoNuclease Array-Based Methodology (MENA) for Identifying Known SNPs or Novel Point Mutations

Department of Biology, University of Iowa, Iowa City, IA 52242, USA
Graduate Program in Genetics, University of Iowa, Iowa City, IA 52242, USA
Department of Pediatrics, University of Iowa, Iowa City, IA, 52242, USA
Authors to whom correspondence should be addressed.
Academic Editors: Yuriy Alekseyev and Gang Liu
Received: 8 February 2016 / Revised: 21 March 2016 / Accepted: 30 March 2016 / Published: 5 April 2016
(This article belongs to the Special Issue Microarrays in the Era of Next Generation Sequencing)
View Full-Text   |   Download PDF [1582 KB, uploaded 7 April 2016]   |  


Accurate and rapid identification or confirmation of single nucleotide polymorphisms (SNPs), point mutations and other human genomic variation facilitates understanding the genetic basis of disease. We have developed a new methodology (called MENA (Mismatch EndoNuclease Array)) pairing DNA mismatch endonuclease enzymology with tiling microarray hybridization in order to genotype both known point mutations (such as SNPs) as well as identify previously undiscovered point mutations and small indels. We show that our assay can rapidly genotype known SNPs in a human genomic DNA sample with 99% accuracy, in addition to identifying novel point mutations and small indels with a false discovery rate as low as 10%. Our technology provides a platform for a variety of applications, including: (1) genotyping known SNPs as well as confirming newly discovered SNPs from whole genome sequencing analyses; (2) identifying novel point mutations and indels in any genomic region from any organism for which genome sequence information is available; and (3) screening panels of genes associated with particular diseases and disorders in patient samples to identify causative mutations. As a proof of principle for using MENA to discover novel mutations, we report identification of a novel allele of the beethoven (btv) gene in Drosophila, which encodes a ciliary cytoplasmic dynein motor protein important for auditory mechanosensation. View Full-Text
Keywords: microarray; mismatch; endonuclease; SNP detection; genetic variation; disease mutation microarray; mismatch; endonuclease; SNP detection; genetic variation; disease mutation

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Supplementary material

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Comeron, J.M.; Reed, J.; Christie, M.; Jacobs, J.S.; Dierdorff, J.; Eberl, D.F.; Manak, J.R. A Mismatch EndoNuclease Array-Based Methodology (MENA) for Identifying Known SNPs or Novel Point Mutations. Microarrays 2016, 5, 7.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics



[Return to top]
Microarrays EISSN 2076-3905 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top