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Dataset Information

Using biomarker signature patterns for an mRNA molecular diagnostic of mouse embryonic stem cell differentiation state.


ABSTRACT:

Background

The pluripotency and self-renewal capabilities, which define the "stemness" state, of mouse embryonic stem (ES) cells, are usually investigated by functional assays or quantitative measurements of the expression levels of known ES cell markers. Strong correlations between these expression levels and functional assays, particularly at the early stage of cell differentiation, have usually not been observed. An effective molecular diagnostic to properly identify the differentiation state of mouse ES cells, prior to further experimentation, is needed.

Results

A novel molecular pattern recognition procedure has been developed to diagnose the differentiation state of ES cells. This is based on mRNA transcript levels of genes differentially expressed between ES cells and

SUBMITTER: Yap DY 

PROVIDER: S-EPMC1931595 | biostudies-literature | 2007 Jul

REPOSITORIES: biostudies-literature