摘要
以流动中的细胞或颗粒为测量对象的流式细胞术能够在短时间内提供具有统计意义的大量单细胞、颗粒或集聚体的测量数据。经过70多年的发展,它已经成为生物学、医学、环境检测等多领域不可或缺的技术。这一技术于20世纪40年代被提出,于70年代成型,并在此后40多年里,检测性能、多参数测量能力和分选能力得到显著发展,而它的应用领域更是飞速扩展到从细菌、环境微生物检测、常规细胞功能检测,到许多临床疾病诊断和监测,再到最前沿的肿瘤免疫机理研究、免疫疗法和生物制药等广泛领域。当前,一系列新技术和相应的新型流式细胞仪被开发出来,虽然工作原理有别于传统方式,但获取大规模单细胞多参数测量的理念从未变化。流式细胞术领域正处于技术大发展和大变革的前夜。
Flow cytometry,which measures cells,particles or aggregates in flow,is able to provide a large number of single-cell measurements with statistical significance within a short time.After more than 70 years of development,it has become an indispensable technology in many fields including biology,medicine and environmental surveillance.This technology was put forward in the 1940 s and formed in the 1970 s.In the following 4 decades,the detection performance,multi-parameter measurement ability and sorting ability have been significantly improved.Especially its application fields have expanded rapidly from bacteria measurement,environmental microorganism detection,conventional cell function detection to the diagnosis and monitoring of many clinical diseases,and up to the cutting-edge fields of cancer immune mechanism research,immunotherapy and biopharmaceuticals discovery.At present,a series of new technologies and new types of corresponding flow cytometers have been developed.Although their working principles are different more or less from the traditional method,the concept of obtaining large-scale single cell multi-parameter measurements has never changed.Currently the field of flow cytometry is on the edge of a major development and revolution.
作者
杭海英
刘春春
任丹丹
Hang Hai-ying;Liu Chun-chun;Ren Dan-dan(Key Laboratory for Protein and Peptide Pharmaceuticals,Institute of Biophysics,Chinese Academy of Sciences,Beijing 100101,China;Core Facility for Protein Research Technology,Tsinghua University,Beijing 100084,China)
出处
《中国生物工程杂志》
CAS
CSCD
北大核心
2019年第9期68-83,共16页
China Biotechnology
基金
国家自然科学基金(31870923)
国家重点研发计划(2017YFF0205404)
北京市科学技术委员会怀柔科学城技术创新项目(Z181100003818023)
国家973计划(2014CB910402)资助项目
关键词
流式细胞术
分化簇
大肠杆菌
外泌体
高维数据自动分析技术
Flow cytometry
Cluster of differentiation(CD)
Escherichia Coli(E.coli)
Exosome
High-dimensional data automatic analysis technology
