Detecting Genetic Mosaicism in Cultures of Human Pluripotent Stem Cells.
Detecting Genetic Mosaicism in Cultures of Human Pluripotent Stem Cells.
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DOI:
10.1016/j.stemcr.2016.10.003
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发表时间:
2016-11-08
影响因子:
5.9
通讯作者:
Barbaric, Ivana
中科院分区:
文献类型:
--
作者:
Baker, Duncan;Hirst, Adam J.;Gokhale, Paul J.;Juarez, Miguel A.;Williams, Steve;Wheeler, Mark;Bean, Kerry;Allison, Thomas F.;Moore, Harry D.;Andrews, Peter W.;Barbaric, Ivana
Genetic changes in human pluripotent stem cells (hPSCs) gained during culture can confound experimental results and potentially jeopardize the outcome of clinical therapies. Particularly common changes in hPSCs are trisomies of chromosomes 1, 12, 17, and 20. Thus, hPSCs should be regularly screened for such aberrations. Although a number of methods are used to assess hPSC genotypes, there has been no systematic evaluation of the sensitivity of the commonly used techniques in detecting low-level mosaicism in hPSC cultures. We have performed mixing experiments to mimic the naturally occurring mosaicism and have assessed the sensitivity of chromosome banding, qPCR, fluorescence in situ hybridization, and digital droplet PCR in detecting variants. Our analysis highlights the limits of mosaicism detection by the commonly employed methods, a pivotal requirement for interpreting the genetic status of hPSCs and for setting standards for safe applications of hPSCs in regenerative medicine. hPSCs conform to random sampling rules used for karyotyping Excluding mosaicism at <1% level requires sampling >500 metaphases qPCR is a rapid assay for detection of commonly amplified regions in hPSCs Cultures scored as normal by commonly used methods could harbor up to 10% variants Barbaric and colleagues tested how many metaphases need to be scored to detect different levels of mosaicism in hPSC cultures. They also devised qPCR assays as a rapid means of detecting common chromosomal abnormalities. Testing of the sensitivity of qPCR, digital droplet PCR, and FISH revealed that these methods can miss as many as 10% abnormal cells in the population.
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