Genomic alterations in cultured human embryonic stem cells View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2005-10

AUTHORS

Anirban Maitra, Dan E Arking, Narayan Shivapurkar, Morna Ikeda, Victor Stastny, Keyaunoosh Kassauei, Guoping Sui, David J Cutler, Ying Liu, Sandii N Brimble, Karin Noaksson, Johan Hyllner, Thomas C Schulz, Xianmin Zeng, William J Freed, Jeremy Crook, Suman Abraham, Alan Colman, Peter Sartipy, Sei-Ichi Matsui, Melissa Carpenter, Adi F Gazdar, Mahendra Rao, Aravinda Chakravarti

ABSTRACT

Cultured human embryonic stem cell (hESC) lines are an invaluable resource because they provide a uniform and stable genetic system for functional analyses and therapeutic applications. Nevertheless, these dividing cells, like other cells, probably undergo spontaneous mutation at a rate of 10(-9) per nucleotide. Because each mutant has only a few progeny, the overall biological properties of the cell culture are not altered unless a mutation provides a survival or growth advantage. Clonal evolution that leads to emergence of a dominant mutant genotype may potentially affect cellular phenotype as well. We assessed the genomic fidelity of paired early- and late-passage hESC lines in the course of tissue culture. Relative to early-passage lines, eight of nine late-passage hESC lines had one or more genomic alterations commonly observed in human cancers, including aberrations in copy number (45%), mitochondrial DNA sequence (22%) and gene promoter methylation (90%), although the latter was essentially restricted to 2 of 14 promoters examined. The observation that hESC lines maintained in vitro develop genetic and epigenetic alterations implies that periodic monitoring of these lines will be required before they are used in in vivo applications and that some late-passage hESC lines may be unusable for therapeutic purposes. More... »

PAGES

1099-1103

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/ng1631

DOI

http://dx.doi.org/10.1038/ng1631

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1013244477

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/16142235


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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N-Triples is a line-based linked data format ideal for batch operations.

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Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

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