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研究从匹配供体中获得的体细胞系中的重编程潜能标志物。

Investigating Markers of Reprogramming Potential in Somatic Cell Lines Derived from Matched Donors.

机构信息

Reproductive Sciences, Toronto Zoo, Scarborough, Canada.

Department of Biomedical Sciences, Ontario Veterinary College, University of Guelph, Guelph, Canada.

出版信息

Cell Reprogram. 2021 Apr;23(2):73-88. doi: 10.1089/cell.2020.0075. Epub 2021 Mar 29.

DOI:10.1089/cell.2020.0075
PMID:33861640
Abstract

Somatic cell biobanking and related technologies, somatic cell nuclear transfer (SCNT), and induction of pluripotent stem cells offer significant promise for wildlife conservation, but have yet to achieve optimal success. Inefficiency and variability in outcome have been linked to incomplete nuclear reprogramming, highlighting the importance of donor cell contribution. Studies show significant differences in SCNT outcome in donor cell lines within and between individuals, highlighting the necessity for a standardized characterization method to evaluate cell line reprogramming potential. Stringently standardized bovine fibroblast cell lines were generated and assessed for inter- and intraindividual variability on cellular (morphology, chromosome number, apoptotic incidence; Experiment 1) and molecular (pluripotency and epigenetic-related gene expression; Experiment 2) levels encompassing putative biomarkers of reprogramming potential. Cellular parameters were similar across cell lines. While some statistically significant differences were observed in , , and , but not , their biological relevance could not be determined with the information at hand. This study lays the foundation for understanding cellular characteristics in cultured cell lines; however, further studies are required to determine any correlation with reprogramming potential.

摘要

体细胞核移植(Somatic Cell Nuclear Transfer,SCNT)和多能干细胞的诱导为野生动物保护提供了巨大的希望,但尚未取得最佳的成功。核重编程不完全与结果的效率和可变性有关,突出了供体细胞贡献的重要性。研究表明,供体细胞系内和个体间的 SCNT 结果存在显著差异,这突出了需要一种标准化的特征描述方法来评估细胞系的重编程潜力。本研究严格标准化了牛成纤维细胞系,并在细胞(形态、染色体数量、凋亡发生率;实验 1)和分子(多能性和与表观遗传学相关的基因表达;实验 2)水平上评估了个体间和个体内的变异性,涵盖了重编程潜力的假定生物标志物。细胞参数在细胞系之间相似。虽然在 、 和 中观察到一些统计学上显著的差异,但在 中没有观察到差异,但其生物学相关性无法用现有信息确定。这项研究为理解培养细胞系中的细胞特征奠定了基础;然而,需要进一步的研究来确定与重编程潜力的任何相关性。

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