Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.
Extracting a cellular hierarchy from high-dimensional cytometry data with SPADE.
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DOI：
10.1038/nbt.1991
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发表时间：
2011-10-02
影响因子：
46.9
通讯作者：
中科院分区：
文献类型：
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Multiparametric single-cell analysis is critical for understanding cellular heterogeneity. Despite recent technological advances in single-cell measurements, methods for analyzing high-dimensional single-cell data are often subjective, labor intensive and require prior knowledge of the biological system under investigation. To objectively uncover cellular heterogeneity from single-cell measurements, we present a novel computational approach, Spanning-tree Progression Analysis of Density-normalized Events (SPADE). We applied SPADE to cytometry data of mouse and human bone marrow. In both cases, SPADE organized cells in a hierarchy of related phenotypes that partially recapitulated well-described patterns of hematopoiesis. In addition, SPADE produced a map of intracellular signal activation across the landscape of human hematopoietic development. SPADE revealed a functionally distinct cell population, natural killer (NK) cells, without using any NK-specific parameters. SPADE is a versatile method that facilitates the analysis of cellular heterogeneity, the identification of cell types, and comparison of functional markers in response to perturbations.
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DOI：
10.1126/science.1198704
发表时间：
2011-05-06
期刊：
Science (New York, N.Y.)
影响因子：
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作者：
Bendall SC;Simonds EF;Qiu P;Amir el-AD;Krutzik PO;Finck R;Bruggner RV;Melamed R;Trejo A;Ornatsky OI;Balderas RS;Plevritis SK;Sachs K;Pe'er D;Tanner SD;Nolan GP
通讯作者：
Nolan GP
影响因子：
3.7
作者：
Lo, Kenneth;Brinkman, Ryan Remy;Gottardo, Raphael
通讯作者：
Gottardo, Raphael
影响因子：
--
作者：
Walther G;Zimmerman N;Moore W;Parks D;Meehan S;Belitskaya I;Pan J;Herzenberg L
通讯作者：
Herzenberg L
影响因子：
82.9
作者：
Chattopadhyay, Pratip K.;Price, David A.;Roederer, Mario
通讯作者：
Roederer, Mario
影响因子：
4.3
作者：
Qiu P;Gentles AJ;Plevritis SK
通讯作者：
Plevritis SK