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viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia.

Abstract：

:New high-dimensional, single-cell technologies offer unprecedented resolution in the analysis of heterogeneous tissues. However, because these technologies can measure dozens of parameters simultaneously in individual cells, data interpretation can be challenging. Here we present viSNE, a tool that allows one to map high-dimensional cytometry data onto two dimensions, yet conserve the high-dimensional structure of the data. viSNE plots individual cells in a visual similar to a scatter plot, while using all pairwise distances in high dimension to determine each cell's location in the plot. We integrated mass cytometry with viSNE to map healthy and cancerous bone marrow samples. Healthy bone marrow automatically maps into a consistent shape, whereas leukemia samples map into malformed shapes that are distinct from healthy bone marrow and from each other. We also use viSNE and mass cytometry to compare leukemia diagnosis and relapse samples, and to identify a rare leukemia population reminiscent of minimal residual disease. viSNE can be applied to any multi-dimensional single-cell technology.

journal_name

Nat Biotechnol

journal_title

Nature biotechnology

authors

Amir el-AD,Davis KL,Tadmor MD,Simonds EF,Levine JH,Bendall SC,Shenfeld DK,Krishnaswamy S,Nolan GP,Pe'er D

doi

10.1038/nbt.2594

subject

Has Abstract

pub_date

2013-06-01 00:00:00

pages

545-52

issue

6

eissn

1087-0156

issn

1546-1696

pii

nbt.2594

journal_volume

31

pub_type

杂志文章

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