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Investigating Markers of Reprogramming Potential in Somatic Cell Lines Derived from Matched Donors
Cellular Reprogramming ( IF 1.2 ) Pub Date : 2021-04-16 , DOI: 10.1089/cell.2020.0075
Tahmineh Toorani 1, 2 , Paula M Mackie 1 , Gabriela F Mastromonaco 1, 2
Affiliation  

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 DNMT1, DNMT3B, and HAT1, but not HDAC1, 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.

中文翻译:

研究来自匹配供体的体细胞系中重编程潜力的标志物

体细胞生物库和相关技术、体细胞核移植 (SCNT) 和多能干细胞的诱导为野生动物保护提供了重要的前景,但尚未取得最佳成功。结果的低效率和可变性与不完整的核重编程有关,突出了供体细胞贡献的重要性。研究表明,个体内部和个体之间供体细胞系的 SCNT 结果存在显着差异,突出了采用标准化表征方法评估细胞系重编程潜力的必要性。产生了严格标准化的牛成纤维细胞系,并评估了细胞间和个体内的变异性(形态、染色体数目、凋亡发生率;实验 1)和分子(多能性和表观遗传相关基因表达;实验 2)水平,包括重编程潜力的推定生物标志物。细胞系的细胞参数相似。虽然在统计上观察到一些显着差异DNMT1DNMT3BHAT1,但不是HDAC1,它们的生物学相关性无法通过手头的信息确定。本研究为了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。
更新日期:2021-04-18
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