Journal
PLOS ONE
Volume 7, Issue 7, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0040321
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Funding
- National Institutes of Health (NIH) [R01AI047457, R01AI047458, U01HL099999]
- NIH/National Cancer Institute (NCI) [1U54 CA149145]
- Siebel Stem Cell Institute
- Thomas and Stacey Siebel Foundation
- California Institute for Regenerative Medicine [T1-00001]
- Public Health Service Grant [CA09151]
- NCI
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Gene expression profiling using microarrays has been limited to comparisons of gene expression between small numbers of samples within individual experiments. However, the unknown and variable sensitivities of each probeset have rendered the absolute expression of any given gene nearly impossible to estimate. We have overcome this limitation by using a very large number (>10,000) of varied microarray data as a common reference, so that statistical attributes of each probeset, such as the dynamic range and threshold between low and high expression, can be reliably discovered through meta-anyalysis This strategy is implemented in a web-based platform named Gene Expression Commons (https://gexc.stanford.edu/) which contains data of 39 distinct highly purified mouse hematopoietic stem/progenitor/differentiated cell populations covering almost the entire hematopoietic system. Since the Gene Expression Commons is designed as an open platform, investigators can explore the expression level of any gene, search by expression patterns of interest, submit their own microarray data, and design their own working models representing biological relationship among samples.
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