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

Download Mobile App




New Technology Bridges Gap Between New Genome Data and Years of Research

By LabMedica International staff writers
Posted on 10 Sep 2009
Since the initiation of the Human Genome Project, an explosion of data has sent the science world scurrying. More...
There is a growing demand to customize genomic codes, which inventory the "ingredients for life,” but do not sufficiently clarify how those ingredients function.

A Rutgers University-Camden (NJ, USA) biochemist is addressing this knowledge gap through the creation of a database for quick "background checks” on all known enzyme functions. Because of a U.S. National Institute of Health (Bethesda, MD, USA) grant, Dr. Peter Palenchar, an assistant professor of chemistry at the University of Rutgers-Camden (NJ, USA; ), will categorize decades-worth of research on enzymes into a database, starting with those that bind to molecules that contain adenosine.

The US$200,000 grant will allow Dr. Palenchar to track and simplify what has been written about some 130 enzymes, including energy-creators adenosine triphosphate (ATP) and adenosine diphosphate (ADP). "There are 50-plus years of good data on how enzymes function, but it's a tedious process to understand the specialized language used in enzymology papers. Question is: how do you access that information quickly?” stated Dr. Palenchar. His goal is to create a standard vocabulary to describe how enzymes function for the biomedical community, particularly those who work with anticancer drugs that target enzymes. Dr. Palenchar, with assistance from Rutgers-Camden undergraduate Jason Cargill and graduate student Salvador Gomez, will not only establish this new vocabulary for an accessible database, but also assess its effectiveness in determining the accuracy of genomic codes.

To do this, the Rutgers-Camden research team will compare the genomic sequencing in two organisms that contain "functionally important” amino acids: Arabidopsis thaliana, a plant commonly known as thale cress, and Plasmodium falciparum, the pathogen that causes malaria. "There could be good evidence that these enzymes are doing something different,” noted the biochemist, who has published his research in the past in the journal Genome Biology.

According to Mr. Gomez, who is searching primary publications through online databases such as PubMed and Academic Search Premier, this research is important. "This research has given me an opportunity to do meaningful work at a higher level,” he noted. "Knowing my work will be utilized by other scientists is a great feeling.”

Dr. Palenchar has been studying enzymes for the past 10 years. He teaches biochemistry at Rutgers-Camden.

Related Links:

Rutgers University-Camden



Gold Member
Respiratory Syncytial Virus Test
OSOM® RSV Test
POC Helicobacter Pylori Test Kit
Hepy Urease Test
Automatic Hematology Analyzer
DH-800 Series
Clinical Chemistry System
P780
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

Molecular Diagnostics

view channel
Image: The test utilizes mtDNA biomarkers to detect molecular signatures associated with endometriosis (Photo courtesy of Shutterstock)

Endometriosis Blood Test Could Replace Invasive Laparoscopic Diagnosis

Endometriosis affects an estimated 1 in 10 women globally, yet diagnosis can take 7 to 10 years on average due to the invasive nature of laparoscopy and lack of accurate, non-invasive tests.... Read more

Hematology

view channel
Image: Residual leukemia cells may predict long-term survival in acute myeloid leukemia (Photo courtesy of Shutterstock)

MRD Tests Could Predict Survival in Leukemia Patients

Acute myeloid leukemia is an aggressive blood cancer that disrupts normal blood cell production and often relapses even after intensive treatment. Clinicians currently lack early, reliable markers to predict... Read more

Pathology

view channel
Image: The AI tool advances precision diagnostics by linking genetic mutations directly to disease types (Photo courtesy of Shutterstock)

AI Tool Simultaneously Identifies Genetic Mutations and Disease Type

Interpreting genetic test results remains a major challenge in modern medicine, particularly for rare and complex diseases. While existing tools can indicate whether a genetic mutation is harmful, they... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.