Pan-Cancer Project
The Cancer Genome Atlas research network has launched the Pan-Cancer project to analyze multiple tumor types together to find common events across different tumors. The availability of large cohorts and multiple different types of data at the DNA, RNA, and protein levels has made the Pan-Cancer project possible.
Version 6 of Consensus Yeast Metabolic Network Released
Updates to maintain a state-of-the art reconstruction of the yeast metabolic network are essential to reflect our understanding of yeast metabolism and functional organization, to eliminate any inaccuracies identified in earlier iterations, to improve predictive accuracy and to continue to expand into novel subsystems to extend the comprehensiveness of the model. Here, we present version 6 of the consensus yeast metabolic network (Yeast 6) as an update to the community effort to computationally reconstruct the genome-scale metabolic network of Saccharomyces cerevisiae S288c.
New Open-Access Software Helps Predict Cellular Actions Tied to Diseases, Drug Targets
All living things are made of cells that contain DNA, which help determine their physical characteristics. In addition to this encoded genetic information, organisms are also defined by the way they decode information from interactions with their environments. Signals from the environment are interpreted by cells through a series of steps that turn proteins on or off, making up what is often referred to as the “signaling network.”
Biggest Family Tree of Human Cells May Help Develop Cell-Replacement Therapies
Scientists at Institute for Systems Biology (ISB), University of Luxembourg, and Tampere University of Technology have created a method that identifies the genetic toggle switches that determine a cell’s developmental fate. This research, published on April 21 in the journal Nature Methods, may lead to new discoveries in disease treatments and tissue-regeneration technologies.
“In this elegant work, the authors propose a new way to identify genetic factors that influence cell fate based on the analysis of gene regulatory networks,” said Paul Brazhnik, PhD, of the National Institutes of Health’s National Institute of General Medical Sciences, which partly funded the work.
A ‘Google Map’ of Human Metabolism
ISB’s Nathan Price and Vangelis Simeonidis, a visiting scholar from Luxembourg Centre for Systems Biomedicine (LCSB is a major strategic partner with ISB), contributed to this paper – “A community-driven global reconstruction of human metabolism” – that was published today in Nature Biotechnology. An excerpt describing the collaborative project from a press release is below. An interactive map is forthcoming.
