Gene Expression Commons

Gene Expression Commons: open platform for absolute gene expression profiling

Jun Seita, M.D., Ph.D., is sharing the Gene Expression Commons web-based platform, (http://gexc.stanford.edu/), for absolute gene expression profiling.  You can upload your microarray data to explore expression profile of any gene.

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-analysis. 

This strategy is implemented in a web-based platform named “Gene Expression Commons” (https://gexc.stanford.edu/).

To show the potential of Gene Expression Commons, we highly purified and generated microarray data of 39 distinct 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.

Further detail can be found at http://gexc.stanford.edu/how_it_works

For questions regarding the gene expression commons platform, you may contact Dr. Jun Seita at jseita@stanford.edu

 

 

 

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