Abstract:
:Embryonic stem cells, due to their self-renewal and pluripotency properties, can be used to repair damaged tissues and as an unlimited source of differentiated cells. Although stem cells represent an important opportunity for cell based therapy and small molecules screening (in the context of drug or target discovery) many drawbacks are still preventing their widespread use. One of the most significant limitations is related to the complexity, as well as the reliability, of current protocols driving stem cells into any homogeneously differentiated cellular population. In this respect there is a strong demand for molecular agents promoting differentiation and thereby enabling robust, efficient and safe production of differentiated cells. In order to identify novel molecules that enhance early stages of differentiation, we developed an image based high content screening (HCS) approach using human embryonic stem cells (hESC). In our approach, we took advantage of custom image mining software specifically adapted for the selection of stem cell differentiation agents and the rejection of false positive hits. As a proof of concept -3500 small molecules originating from commercial libraries were screened and a number of molecules of interests were identified. These molecules show stem cell differentiation properties comparable to the phenotypic signature obtained with the reference compound retinoic acid.
journal_name
Comb Chem High Throughput Screenjournal_title
Combinatorial chemistry & high throughput screeningauthors
Jee J,Jeon H,Hwang D,Sommer P,Park Z,Cechetto J,Dorval Tdoi
10.2174/138620712802650540subject
Has Abstractpub_date
2012-09-01 00:00:00pages
656-65issue
8eissn
1386-2073issn
1875-5402pii
CCHTS-EPUB-20120222-001journal_volume
15pub_type
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