Corporate Banner
Satellite Banner
Informatics
Scientific Community
 
Become a Member | Sign in
Home>News>This Article
  News
Return

Study Maps Human Metabolism in Health and Disease

Published: Monday, March 04, 2013
Last Updated: Monday, March 04, 2013
Bookmark and Share
Scientists have produced an instruction manual for the human genome that provides a framework to better understand the relationship between an individual’s genetic make-up and their lifestyle.

The international team of researchers say their study – published in Nature Biotechnology – provides the best model yet to explain why individuals react differently to environmental factors such as diet or medication.

“This research is the second important stage of our understanding of the human genome,” said study author Professor Pedro Mendes, from The University of Manchester’s School of Computer Science. “If the sequencing of the human genome provided us with a list of the biological parts then our study explains how these parts operate within different individuals.

“The results provide a framework that will lead to a better understanding of how an individual’s lifestyle, such as diet, or a particular drug they may require is likely to affect them according to their specific genetic characteristics. The model takes us an important step closer to what is termed ‘personalised medicine’, where treatments are tailored according to the patient’s genetic information.”

The research, which involved scientists from Manchester, Cambridge, Edinburgh, Reykjavik, San Diego, Berlin and others, mapped 65 different human cell types and half of the 2,600 enzymes that are known drug targets in order to produce the network model.

Co-author Douglas Kell, Chief Executive of Biotechnology and Biological Sciences Research Council (BBSRC) and Professor of Bioanalytical Science at the Manchester Institute of Biotechnology, said: "To understand the behaviour of a system one must have a model of it. By converting our biological knowledge into a mathematical model format, this work provides a freely accessible tool that will offer an in-depth understanding of human metabolism and its key role in many major human diseases.

“This study offers the most complete model of the human metabolic network available to date to help analyse and test predictions about the physiological and biochemical properties of human cells.”

Dr Nicolas Le Novère, from the Babraham Institute in Cambridge (UK), said: “This is a model that links the smallest molecular scale to the full cellular level. It contains more than 8,000 molecular species and 7,000 chemical reactions – no single researcher could have built this alone. Having large collaborations like these, using open standards and data-sharing resources, is crucial for systems biology.”


Further Information

Join For Free

Access to this exclusive content is for Technology Networks Premium members only.

Join Technology Networks Premium for free access to:

  • Exclusive articles
  • Presentations from international conferences
  • Over 3,200+ scientific posters on ePosters
  • More than 4,600+ scientific videos on LabTube
  • 35 community eNewsletters


Sign In



Forgotten your details? Click Here
If you are not a member you can join here

*Please note: By logging into TechnologyNetworks.com you agree to accept the use of cookies. To find out more about the cookies we use and how to delete them, see our privacy policy.


Scientific News
What Makes a Good Scientist?
It’s the journey, not just the destination that counts as a scientist when conducting research.
Applying Deep Learning to Drug Discovery
Researchers train deep neural networks to predict the therapeutic use of large number of multiple drugs using gene expression data obtained from high-throughput experiments on human cell lines.
Advancing Protein Visualization
Cryo-EM methods can determine structures of small proteins bound to potential drug candidates.
Gene Expression Controls Revealed
Researchers have modelled every atom in a key part of the process for switching on genes, revealing a whole new area for potential drug targets.
Making Genetic Data Easier to Search
Scripps team streamlines biomedical research by making genetic data easier to search.
Monovar Drills Down Into Cancer Genome
Rice, MD Anderson develop program to ID mutations in single cancer cells.
It’s Now Easier To Go With The Flow
Rice University tool simplifies comparison of flow cytometry data for laboratories.
Making Precision Medicine a Reality
Researchers are one step closer to understanding the genetic and biological basis of diseases like cancer, diabetes, Alzheimer’s and rheumatoid arthritis – and identifying new drug targets and therapies.
New Database for Sharing MS Clinical Trial Data
A new database containing nearly 2500 patient records from the placebo arms of nine multiple sclerosis (MS) clinical trials is now available for research by qualified investigators.
‘Precision Prevention’ for Colorectal Cancer
New risk prediction model — not yet ready for clinical use — incorporates genetic, lifestyle and environmental risk factors.
Scroll Up
Scroll Down
SELECTBIO

SELECTBIO Market Reports
Go to LabTube
Go to eposters
 
Access to the latest scientific news
Exclusive articles
Upload and share your posters on ePosters
Latest presentations and webinars
View a library of 1,800+ scientific and medical posters
3,200+ scientific and medical posters
A library of 2,500+ scientific videos on LabTube
4,600+ scientific videos
Close
Premium CrownJOIN TECHNOLOGY NETWORKS PREMIUM FOR FREE!