Genomic Instability of Human Embryonic Stem Cell Lines Using Different Passaging Culture Methods
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Background: Human embryonic stem cells exhibit genomic instability that can be related to culture duration or to the passaging methods used for cell dissociation. In order to study the impact of cell dissociation techniques on human embryonic stem cells genomic instability, we cultured H1 and H9 human embryonic stem cells lines using mechanical/manual or enzymatic/collagenase-IV dissociation methods. Genomic instability was evaluated at early (<p60) and late (>p60) passages by using oligonucleotide based array-comparative genomic hybridization 105 K with a mean resolution of 50 Kb.
Results: DNA variations were mainly located on subtelomeric and pericentromeric regions with sizes <100 Kb. In this study, 9 recurrent genomic variations were acquired during culture including the well known duplication 20q11.21. When comparing cell dissociation methods, we found no significant differences between DNA variations number and size, DNA gain or DNA loss frequencies, homozygous loss frequencies and no significant difference on the content of genes involved in development, cell cycle tumorigenesis and syndrome disease. In addition, we have never found any malignant tissue in 4 different teratoma representative of the two independent stem cell lines.
Conclusions: These results show that the occurrence of genomic instability in human embryonic stem cells is similar using mechanical or collagenase IV-based enzymatic cell culture dissociation methods. All the observed genomic variations have no impact on the development of malignancy.
Iworima D, Baker R, Piret J, Kieffer T Front Bioeng Biotechnol. 2023; 11:1267007.
PMID: 38107616 PMC: 10722899. DOI: 10.3389/fbioe.2023.1267007.
Rodrigues A, Slembrouck-Brec A, Nanteau C, Terray A, Tymoshenko Y, Zagar Y NPJ Regen Med. 2022; 7(1):39.
PMID: 35974011 PMC: 9381579. DOI: 10.1038/s41536-022-00235-6.
Dynamic Features of Chromosomal Instability during Culture of Induced Pluripotent Stem Cells.
DuBose C, Daum J, Sansam C, Gorbsky G Genes (Basel). 2022; 13(7).
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PMID: 34716395 PMC: 8556264. DOI: 10.1038/s41598-021-99727-6.
Reprogramming: Emerging Strategies to Rejuvenate Aging Cells and Tissues.
Alle Q, Borgne E, Milhavet O, Lemaitre J Int J Mol Sci. 2021; 22(8).
PMID: 33924362 PMC: 8070588. DOI: 10.3390/ijms22083990.