积极选择
选择(遗传算法)
否定选择
单克隆抗体
人口
单元格排序
分类
生物
抗体
细胞
计算生物学
免疫学
计算机科学
遗传学
人工智能
医学
算法
基因
环境卫生
基因组
作者
Dennis E. Vaccaro,Joan E. Markinac
出处
期刊:Humana Press eBooks
[Humana Press]
日期:2003-11-14
卷期号:: 253-260
被引量:1
标识
DOI:10.1385/0-89603-308-2:253
摘要
The use of magnetic particles in combination with monoclonal antibodies (MAbs) has greatly simplified sorting heterogeneous populations of cells into specific subpopulations (1–35). MAbs which recognize particular cell surface markers provide the specificity necessary to distinguish one cellular population from another. Magnetic particles provide an effective, yet gentle, physical force to move the target population away from the remaining cells. Two forms of selection have been used by researchers: positive and negative selection. Positive selection is the isolation of the desired population from the cellular mixture and does not imply the complete removal of a target cell population. Negative selection is the elimination of an undesired population from the cellular mixture. The methods for negative selection were outlined in Chapter 25 . In this chapter, we focus on the methods used in positive selection (9,28). As with negative-selection techniques, there are a variety of methods in use. We outline one general method and discuss variations in methodology in Section 4. of this chapter.
科研通智能强力驱动
Strongly Powered by AbleSci AI