203,192 interactions from Chip-seq/chip studies
153,920 interactions from logof followed by microarrays
1,037 protein protein interactions
693,552 miRNA target interactions
661 Putative pluripotency genes determined by RNAi screens
7,044 Undifferentiated and differentiating ESC specific proteins
16,881 histone modifications determined by Chip-seq/chip
4,012 Undifferentiated and differentiating ESC specific phosphoproteins from phosphoproteomics
9 genome-wide mRNA expression profile summaries
3,136 miRNA expression entries
14,105 time course expression entries from J1 #1
17,022 time course expression entries from J1 #2
14,105 time course expression entries from R1 #1
17,022 time course expression entries from R1 #2
14,668 time course expression entries from V6.5 #1
17,022 time course expression entries from V6.5 #2
14,698 time-course expression entries of shRNAi #1
18,265 time-course expression entries of shRNAi #2
Self-organizing circuitry and emergent computation in mouse embryonic stem cells.
GATE: software for the analysis and visualization of high-dimensional time series expression data.
Systems-level dynamic analyses of fate change in murine embryonic stem cells.
Systems biology of stem cell fate and cellular reprogramming.
Scientists Produce Eye Structures from Human Blood-Derived Stem Cells
Scientists from the University of Wisconsin (Madison) have made early retina structures containing proliferating neuroretinal progenitor cells
using induced pluripotent stem (iPS) cells derived from human blood.
Read more at http://www.sciencedaily.com/releases/ 2012/03/120313185232.htm
Embryonic stem cell trials for macular degeneration: a preliminary report
Researchers at the UCLA medical center have begun clincal trials for a macular degeneration treatment derived from embryonic stem cells.
Two women had cells implanted in their retinas last July and both patients have seen meaningful changes in their vision.
This marks the first case of human embryonic stem cell transplantation into human patients.
Check out the findings published in the Lancet
or read the NYTimes article.
New database could speed up drug discovery
A new database and software, called ChIP Enrichment Analysis, or ChEA, is set to revolutionize how researchers identify drug targets and biomarkers.
Until ChEA was developed, no centralized database integrated results from, for instance, ChIP-seq and ChIP-chip experiments (these are used to identify how "transcription factor" proteins might regulate all genes in humans and mice).
Now this new computational method should help streamline how scientists analyze these gene expression experiments.
Read more at http://news.cnet.com/8301-27083_3-20016583-247.html











Contact us