2010
DOI: 10.1042/bj20101022
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High-content screening of feeder-free human embryonic stem cells to identify pro-survival small molecules

Abstract: The propensity of human embryonic stem cells to die upon enzymatic disaggregation or low-density plating is an obstacle to their isolation and routine use in drug discovery and basic research. Equally, the very low rate of establishment of implanted cells hinders cell therapy. In the present study we have developed a high-content assay for human embryonic stem cell survival and used this to screen a range of libraries of 'lead-like' small molecules and known bioactives. From this we identified 18 confirmed hit… Show more

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Cited by 37 publications
(23 citation statements)
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“…For isolation of glycosphingolipids, the two hECS lines SA121 and SA181 were cultured under feeder-free conditions and harvested, as previously described (10, 14). The cell pellets obtained were stored at −80 °C.…”
Section: Methodsmentioning
confidence: 99%
“…For isolation of glycosphingolipids, the two hECS lines SA121 and SA181 were cultured under feeder-free conditions and harvested, as previously described (10, 14). The cell pellets obtained were stored at −80 °C.…”
Section: Methodsmentioning
confidence: 99%
“…Expansion and Harvest of Human Embryonic Stem CellshESC were grown and passaged as described previously (11). In brief, two cell lines (SA121 and SA181) were generated from two separate leftover human in vitro fertilized embryos.…”
Section: Methodsmentioning
confidence: 99%
“…This strategy isolated the antihypertensive drug pinacidil as a promoter of hES cells survival. Independently, the same molecule was found using hES cells feeder free with conditioned medium; here the authors showed pinacidil as well as other compounds to be structurally related to classic ROCK inhibitors (Andrews et al, 2010). Similar approaches have been tried elsewhere and identified compounds that improved survival by inhibiting ROCK or protein kinase C (Damoiseaux et al, 2009; Sherman et al, 2011).…”
Section: Strategies For High Content Analysis and Disease Modelingmentioning
confidence: 71%