sharon sanders
Editor-in-Chief & President
Stanford gene researchers see diabetes develop
Erin Allday
Friday, March 16, 2012
A team of Stanford researchers has unveiled the most detailed biological profile of a human being done so far: a peek at one man's genetic foundation, along with snapshots, taken dozens of times over the course of a year, of the millions of proteins and other molecules that are in constant flux in his body.
In a stroke of shocking good luck - for the scientists, if not necessarily the patient - the profile subject developed Type 2 diabetes during the study, allowing researchers to follow in real time the molecular changes that took place as the illness progressed.
Read more: http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2012/03/15/BAMD1NKUNI.DTL#ixzz1pHralmqp
-----------------------------------
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes
10.1016/j.cell.2012.02.009
Extremely high-coverage genomic and transcriptomic data, which provide the basis of our iPOP, revealed extensive heteroallelic changes during healthy and diseased states and an unexpected RNA editing mechanism. This study demonstrates that longitudinal iPOP can be used to interpret healthy and diseased states by connecting genomic information with additional dynamic omics activity
https://www.cell.com/fulltext/S0092-8674(12)00166-3
Erin Allday
Friday, March 16, 2012
A team of Stanford researchers has unveiled the most detailed biological profile of a human being done so far: a peek at one man's genetic foundation, along with snapshots, taken dozens of times over the course of a year, of the millions of proteins and other molecules that are in constant flux in his body.
In a stroke of shocking good luck - for the scientists, if not necessarily the patient - the profile subject developed Type 2 diabetes during the study, allowing researchers to follow in real time the molecular changes that took place as the illness progressed.
Read more: http://www.sfgate.com/cgi-bin/article.cgi?f=/c/a/2012/03/15/BAMD1NKUNI.DTL#ixzz1pHralmqp
-----------------------------------
Personal Omics Profiling Reveals Dynamic Molecular and Medical Phenotypes
10.1016/j.cell.2012.02.009
Extremely high-coverage genomic and transcriptomic data, which provide the basis of our iPOP, revealed extensive heteroallelic changes during healthy and diseased states and an unexpected RNA editing mechanism. This study demonstrates that longitudinal iPOP can be used to interpret healthy and diseased states by connecting genomic information with additional dynamic omics activity
https://www.cell.com/fulltext/S0092-8674(12)00166-3