viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.
viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.
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DOI:
10.1038/nbt.2594
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发表时间:
2013-06
影响因子:
46.9
通讯作者:
中科院分区:
文献类型:
--
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High-dimensional single-cell technologies are revolutionizing the way we understand biological systems. Technologies such as mass cytometry measure dozens of parameters simultaneously in individual cells, making interpretation daunting. We developed viSNE, a tool to map high-dimensional cytometry data onto 2D while conserving high-dimensional structure. We integrated mass cytometry with viSNE to map healthy and cancerous bone marrow samples. Healthy bone marrow maps into a canonical shape that separates between immune subtypes. In leukemia, however, the shape is malformed: the maps of cancer samples are distinct from the healthy map and from each other. viSNE highlights structure in the heterogeneity of surface phenotype expression in cancer, traverses the progression from diagnosis to relapse, and identifies a rare leukemia population in minimal residual disease settings. As several new technologies raise the number of simultaneously measured parameters in each cell to the hundreds, viSNE will become a mainstay in analyzing and interpreting such experiments.
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影响因子:
16.8
作者:
Bendall SC;Nolan GP;Roederer M;Chattopadhyay PK
通讯作者:
Chattopadhyay PK
影响因子:
48
作者:
Lubeck, Eric;Cai, Long
通讯作者:
Cai, Long
影响因子:
46.9
作者:
通讯作者:
--
影响因子:
3.5
作者:
O'Brien, Catherine Adell;Kreso, Antonija;Dick, John E.
通讯作者:
Dick, John E.
DOI:
10.1126/science.1198704
发表时间:
2011-05-06
期刊:
Science (New York, N.Y.)
影响因子:
--
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