Agilent Technologies, University of Michigan Partner on Research to Attack Prostate Cancer Using Systems Biology
News Mar 23, 2009
The goal is to accelerate research to defeat the disease using a multidisciplinary systems biology approach.
“We see this as an opportunity to partner with a truly advanced lab that is using multiple scientific disciplines to look at very important clinical problems,” said Gustavo Salem, Agilent Vice President and General Manager, Biological Systems Division. “This relationship will give us a better understanding of how to apply our technologies in a clinical research setting and will enable the University of Michigan to accelerate its scientific research.”
Agilent is contributing a 1200 Series liquid chromatography (LC) system to be used to separate metabolites from human plasma and a 1200 Series Rapid Resolution LC coupled to a 6530 Accurate Mass quadrupole time-of-flight mass spectrometer (Q-TOF MS) for the identification of those metabolites.
“We will focus our laboratory research on a systems-biological approach to try to understand the disease at the biochemical and genetic levels simultaneously,” explained Christopher Beecher, Ph.D., Professor of Pathology at the U-M Medical School. “We expect to be able to make a number of discoveries in prostate cancer and to develop new techniques that will be useful universally.”
The research team, led by the director of the MCTP, Arul Chinnaiyan, M.D., Ph.D., has already revealed metabolomic profiles of prostate cancer progression by looking at 1,126 metabolites across 262 samples of tissue, blood or urine. The lab is currently trying to unlock the secrets of how prostate tumours gain the ability to spread. The MCTP houses cutting-edge facilities for genomic, proteomic and metabolomic analyses, the three main disciplines used in systems biology.
The collaboration between MCTP and Agilent is a result of Agilent’s University Relations Programme, which facilitates collaborations with universities around the world. The programme sponsors research that advances the science of measurement and provides instructional materials to universities.
Mechanism Controlling Multiple Sclerosis Risk IdentifiedNews
Researchers at Karolinska Institutet have now discovered a new mechanism of a major risk gene for multiple sclerosis (MS) that triggers disease through so-called epigenetic regulation. They also found a protective genetic variant that reduces the risk for MS through the same mechanism.
Antarctic Worm and Machine Learning Help Identify Cerebral Palsy EarlierNews
A research team has released a study in the peer-reviewed journal BMC Bioinformatics showing that DNA methylation patterns in circulating blood cells can be used to help identify spastic cerebral palsy (CP) patients. The technique which makes use of machine learning, data science and even analysis of Antarctic worms, raises hopes for earlier targeted CP therapies.
Ancient Syphilis Genomes Decoded for First TimeNews
Researchers recovered three genomes of the bacterium Treponema pallidum from skeletal remains from colonial-era Mexico, and were able to distinguish the subspecies that causes syphilis from the subspecies that causes yaws. It was not previously thought possible to recover DNA from this bacterium from ancient samples.