Serjilus Ashley, Alcendor Donald J
Department of Obstetrics and Gynecology, School of Medicine, Meharry Medical College, USA.
Center for AIDS Health Disparities Research, Department of Microbiology, Immunology, and Physiology, Meharry Medical College, School of Medicine, Nashville, TN, USA.
Clin Obstet Gynecol Reprod Med. 2020 Dec;6(6). Epub 2020 Nov 10.
Isolation of cytotrophoblasts from primary placental tissue may be costly and time consuming with variable results. In this paper, we provide a simple, affordable, and efficient method that may performed using common laboratory supplies to achieve consistent isolation of cytotrophoblasts from villous tissue. Trophoblast populations are identified based on morphology and phenotyping, which employs the timely extraction of villous nodes from the placenta prior to cultivation and isolation of nodal outgrowth by visual guidance for selective capture of cytotrophoblast populations and subculture. This method allows for the isolation of cytotrophoblasts free of contamination with other placental cell types. Isolated cells stain positive for the specific cytotrophoblast biomarker cytokeratin 7 and Human Chorionic Gonadotropin (HCG). Subcultured cells grow to confluency to establish monolayers that may be passaged in culture and later used to develop primary syncytiotrophoblasts over time. These primary cytotrophoblast populations may be employed using in placenta-on-a chip models to better understand placental cell biology and function, as well as physiological responses after exposure to toxicants, and infectious agents. This technique may be modified for selective isolation of specific cell types within different tissues from multiple organ systems.
从原代胎盘组织中分离细胞滋养层细胞可能成本高昂、耗时且结果不一。在本文中,我们提供了一种简单、经济且高效的方法,该方法可使用常见的实验室耗材来实现从绒毛组织中持续一致地分离细胞滋养层细胞。滋养层细胞群体是根据形态学和表型鉴定的,这需要在培养和分离结节性生长物之前及时从胎盘中提取绒毛结节,并通过视觉引导进行选择性捕获细胞滋养层细胞群体和传代培养。这种方法能够分离出不被其他胎盘细胞类型污染的细胞滋养层细胞。分离出的细胞对特定的细胞滋养层生物标志物细胞角蛋白7和人绒毛膜促性腺激素(HCG)呈阳性染色。传代培养的细胞生长至汇合以建立单层细胞,这些单层细胞可在培养中传代,并随着时间的推移用于培养原代合体滋养层细胞。这些原代细胞滋养层细胞群体可用于胎盘芯片模型,以更好地了解胎盘细胞生物学和功能,以及接触毒物和感染因子后的生理反应。该技术可进行修改,以选择性分离来自多个器官系统不同组织内的特定细胞类型。