We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
ZeptoMetrix an Antylia scientific company

Download Mobile App




Area of Noncoding DNA Regulates Activity of Heartbeat Control Protein

By LabMedica International staff writers
Posted on 09 Jun 2014
Variants in a stretch of DNA not used by the genome for coding proteins have been linked to changes in the way the heart beats and may be linked to the risk of sudden cardiac death.

In cardiology, the QT interval is a measure of the time between the start of the Q wave and the end of the T wave in the heart's electrical cycle. More...
The QT interval represents electrical depolarization and repolarization of the ventricles. A lengthened QT interval is a marker for the potential of ventricular tachyarrhythmias and a risk factor for sudden death.

Previous studies have associated the gene NOS1AP (nitric oxide synthase 1 adaptor protein) and NOS1AP polymorphisms with the QT interval length. Investigators at Johns Hopkins University (Baltimore, MD, USA) continued research in this area by employing multiple human genetic and molecular genetic assays as well as cellular assays using genetically engineered rat cardiomyocytes to look at the relationship between gene expression and QT interval length.

They reported in the May 22, 2014, online edition of the American Journal of Human Genetics that they were able to identify a functional variant underlying trait association: a noncoding polymorphism that mapped within an enhancer of NOS1AP and affected cardiac function by increasing NOS1AP transcript expression. They further localized NOS1AP to cardiomyocyte intercalated discs (IDs) and demonstrated that overexpression of NOS1AP in cardiomyocytes led to altered cellular electrophysiology.

“Traditionally, geneticists have studied gene variants that cause disease by producing an abnormal protein,” said senior author Dr. Aravinda Chakravarti, professor of medicine, pediatrics, molecular biology, genetics, and biostatistics at the Johns Hopkins University. “We think there will turn out to be many DNA variants that, like this one, cause disease by making too much or too little of a normal protein. The problem is that most of these variants lie outside of genes, in the noncoding DNA that controls how genes are used, so it is hard to tell what genes they are affecting.”

“Hundreds of genome-wide association studies have been done to find genetic variants associated with disease, but this is one of just a handful of follow-up studies to look for the mechanism behind such a variant,” said Dr. Chakravarti. “I think we have shown there is great value in asking why.”

Related Links:

Johns Hopkins University



Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Verification Panels for Assay Development & QC
Seroconversion Panels
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
hCG Whole Blood Pregnancy Test
VEDALAB hCG-CHECK-1
Read the full article by registering today, it's FREE! It's Free!
Register now for FREE to LabMedica.com and get access to news and events that shape the world of Clinical Laboratory Medicine.
  • Free digital version edition of LabMedica International sent by email on regular basis
  • Free print version of LabMedica International magazine (available only outside USA and Canada).
  • Free and unlimited access to back issues of LabMedica International in digital format
  • Free LabMedica International Newsletter sent every week containing the latest news
  • Free breaking news sent via email
  • Free access to Events Calendar
  • Free access to LinkXpress new product services
  • REGISTRATION IS FREE AND EASY!
Click here to Register








Channels

Clinical Chemistry

view channel
Image: QIP-MS could predict and detect myeloma relapse earlier compared to currently used techniques (Photo courtesy of Adobe Stock)

Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse

Myeloma, a type of cancer that affects the bone marrow, is currently incurable, though many patients can live for over 10 years after diagnosis. However, around 1 in 5 individuals with myeloma have a high-risk... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: Ziyang Wang and Shengxi Huang have developed a tool that enables precise insights into viral proteins and brain disease markers (Photo courtesy of Jeff Fitlow/Rice University)

Light Signature Algorithm to Enable Faster and More Precise Medical Diagnoses

Every material or molecule interacts with light in a unique way, creating a distinct pattern, much like a fingerprint. Optical spectroscopy, which involves shining a laser on a material and observing how... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more
Copyright © 2000-2026 Globetech Media. All rights reserved.