Scientists at Berkeley Lab and UC Berkeley have developed a way to spatially
map gene expression data to determine a cell's fate.
Not exact matches
In this study, a team led by Panos N. Papapanou, DDS, PhD, professor and chair of oral, diagnostic and rehabilitation sciences at the College of Dental Medicine at CUMC, «reverse - engineered» the
gene expression data to build a
map of the genetic interactions that lead to periodontitis and identify individual
genes that appear to have the most influence on the disease.
Still others are working to overlay
gene -
expression patterns, electrophysiological measurements or other functional
data on those
maps.
The atlas now also includes RNA transcript
data for 27 of these organ - specific tissues using next generation sequencing, providing a tissue distribution
map of both protein and
gene expression.
«We are truly excited about the RNA transcript
data and the
map of
gene expression that we now have for 27 different organ - specific tissues», says Professor Mathias Uhlén, Program Director of the Human Protein Atlas.
The new dependency
data complement the Dependency
Map team's ongoing efforts to use functional genomic technologies like CRISPR and RNA interference (RNAi) to locate vulnerabilities that arise within cancer cells as they compensate for the loss of critical
genes due to mutations or
expression changes.