中国组织工程研究 ›› 2020, Vol. 24 ›› Issue (25): 4039-4045.doi: 10.3969/j.issn.2095-4344.2082

• 干细胞综述 stem cell review • 上一篇    下一篇

干细胞扩增及肝向分化过程中相关指标及其检测方法

杨嘉屹12,张广浩12,张  12,李  12,霍小林12,吴昌哲123    

  1. 1中国科学院电工研究所生物电磁学北京市重点实验室,北京市  100190;2中国科学院大学,北京市  100049;3南方医科大学珠江医院,广东省广州市  510282

  • 收稿日期:2019-10-21 修回日期:2019-10-24 接受日期:2019-12-19 出版日期:2020-09-08 发布日期:2020-08-26
  • 通讯作者: 吴昌哲,硕士,中国科学院电工研究所生物电磁学北京市重点实验室,北京市 100190;中国科学院大学,北京市 100049;南方医科大学珠江医院,广东省广州市 510282
  • 作者简介:杨嘉屹,男,1996年生,北京市人,汉族,2018年北方工业大学毕业,主要从事生物电工领域研究。
  • 基金资助:

    国家重点研发计划(2018YFC1106400,2018YFA0108200);国家自然科学基金(61671428);广东省自然科学基金研究团队项目(2014A030312013)

Stem cell expansion and hepatic differentiation: measurement of related indicators and detection methods 

Yang Jiayi1, 2, Zhang Guanghao1, 2, Zhang Cheng1, 2, Li Ke1, 2, Huo Xiaolin1, 2, Wu Changzhe1, 2, 3   

  1. 1Beijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; 2University of Chinese Academy of Sciences, Beijing 100049, China; 3Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China

  • Received:2019-10-21 Revised:2019-10-24 Accepted:2019-12-19 Online:2020-09-08 Published:2020-08-26
  • Contact: Wu Changzhe, Master, Beijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Zhujiang Hospital, Southern Medical University, Guangzhou 510282, Guangdong Province, China
  • About author:Yang Jiayi, Beijing Key Laboratory of Bioelectromagnetics, Institute of Electrical Engineering, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
  • Supported by:

    the National Key Research & Development Program of China, No. 2018YFC1106400 and 2018YFA0108200; the National Natural Science Foundation of China, No. 61671428 ; the Research Team Project of Natural Science Foundation of Guangdong Province, No. 2014A030312013

摘要:


文题释义:

干细胞肝向分化:是指来自于胚胎、胎儿或成体内具有在一定条件下无限制自我更新与增殖分化能力的一类细胞,通过形态、功能的特殊变化,建立起肝细胞特征的过程。这一过程与细胞分裂共同发生,并伴随干细胞多能性的减弱与肝功能表达的增强。

生物人工肝:是以培养肝()细胞为基础的生物或混合生物人工肝支持系统。它的基本要素包括高活性和功能的肝()细胞、适合的生物反应器与外部控制系统、有效的体外循环系统,可通过暂时或部分替代肝脏功能,实现对肝脏功能不全或相关疾病的治疗。

 

摘要

背景:干细胞在组织工程学、再生医学、细胞治疗以及药物研究方面具有巨大的应用前景。近年来,以生物人工肝为例的应用研究需要大规模扩增出高质量的干细胞并最终定向分化为肝()细胞。如何通过此途径高效获得一致性、功能性完好并且标志物均匀表达的分化细胞,是需要解决的关键问题。

目的:对干细胞扩增及肝向分化过程相关检测指标与检测方法进行综述,总结已应用于在线检测的指标与方法,讨论部分指标与方法应用于在线检测的局限性,并对未来有望应用于在线检测的指标和检测技术进行展望。

方法:由第一作者检索19902019PubMed数据库、Web of Science核心合集、Elsevier数据库、中国知网等收录的与干细胞扩增及肝向分化过程相关的文献。英文检索词为“stem cellsexpansionhepatic differentiationmonitoringreal-time online”,中文检索词为“干细胞,扩增,肝向分化,监测,实时在线”,共计检索93篇文章,最终筛选了符合标准的53篇进行综述。

结果与结论:干细胞扩增及肝向分化过程的相关检测指标与检测方法众多,其中扩增过程的检测指标主要涉及干细胞多能性的保持、代谢活性、存活率以及转癌趋势。肝向分化过程因细胞种类而异,其中多能干细胞和中胚层谱系成体多能干细胞要先向内胚层定向分化,再分化为成熟肝()细胞,而以肝干/祖细胞为主的内胚层谱系成体多能干细胞可直接分化为成熟肝()细胞。分化过程不同阶段细胞的特异性标志物、存活率以及代谢活性是检测的重点。目前,基于大型生化检测分析设备的检测方法虽然可靠性高,但面临实时性差、成本高、难以集成小型化等问题。未来,干细胞扩增及肝向分化过程中关键检测指标的筛选、检测标准的量化以及自动化在线检测的实现,需要重点研究。

ORCID: 0000-0002-3881-5577(吴昌哲)0000-0002-6052-8400(杨嘉屹)

中国组织工程研究杂志出版内容重点:干细胞;骨髓干细胞;造血干细胞;脂肪干细胞;肿瘤干细胞;胚胎干细胞;脐带脐血干细胞;干细胞诱导;干细胞分化;组织工程


关键词:

生物人工肝, 干细胞,  肝(样)细胞,  细胞扩增,  细胞分化,  实时在线

Abstract:

BACKGROUND: Stem cells have wide application prospects in tissue engineering, regenerative medicine, cell therapy and drug research. In recent years, the applied research, such as bioartificial liver, requires large-scale and high-quality stem cells by expansion, and final obtains hepatocytes (hepatocyte-like cells) by directional differentiation. Through this way, how to efficiently obtain the differentiated cells, with excellent consistency, powerful function and uniform expression of markers, are the key problems to be solved.

OBJECTIVE: To review the detection indicators and detection methods related to the process of stem cell expansion and hepatic differentiation, summarize the indicators and methods that have been applied to online detection, discuss the limitations of some indicators and methods applied to online detection, and prospect the indicators and detection technologies expected to be applied to online detection in the future.

METHODS: PubMed, Web of Science, Elsevier and CNKI databases were retrieved for the articles concerning stem cell expansion and hepatic differentiation published from 1990 to 2019. The literature related to stem cell expansion and hepatic differentiation was collected. The keywords were “stem cells; expansion; hepatic differentiation; monitoring; real-time online” in English and Chinese, respectively. A total of 93 articles were searched, and finally 53 eligible articles were selected and reviewed.

RESULTS AND CONCLUSION: There are many detection indicators and detection methods for stem cell expansion and hepatic differentiation. Among them, the detection indicators of the expansion process are mainly related to the maintenance of pluripotency, metabolic activity, survival rate, and cancer transformation trend of stem cells. The process of hepatic differentiation varies with cell types, in which, the pluripotent stem cells and the mesodermal lineage adult pluripotent stem cells should differentiate into the endoderm-oriented cells and then the mature hepatocytes (hepatocyte-like cells), while the endodermal lineage adult pluripotent stem cells mainly composed of hepatic stem/progenitor cells can directly differentiate into mature hepatocytes (hepatocyte-like cells). The specific markers, survival rate and metabolic activity of cells in different stages of differentiation are the focus of detection. At present, although the detection methods based on large-scale biochemical detection and analysis equipment have high reliability, they face the problems of poor real-time performance, high cost and difficulties in integration and miniaturization. Future concerns are focused on the screening of key detection indicators, quantification of detection criteria and realization of automatic online detection during stem cell expansion and hepatic differentiation.

Key words:

bioartificial liver,  stem cells,  hepatocytes (hepatocyte-like cells),  cell expansion,  cell differentiation,  real-time online

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