Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening | Zendy

JunSeok Lee | Zendy; Yun Kyung Kim | Zendy; Han Jo Kim | Zendy; Siti Hajar | Zendy; Yee Ling Tan | Zendy; NamYoung Kang | Zendy; Shin Hui Ng | Zendy; Chang No Yoon | Zendy; YoungTae Chang | Zendy

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Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening

Author(s) -

JunSeok Lee,

Yun Kyung Kim,

Han Jo Kim,

Siti Hajar,

Yee Ling Tan,

NamYoung Kang,

Shin Hui Ng,

Chang No Yoon,

YoungTae Chang

Publication year - 2012

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0032096

Subject(s) - fluorescence , computational biology , cancer cell lines , identification (biology) , biology , profiling (computer programming) , cell culture , phenotype , cancer , cancer cell , genetics , computer science , botany , gene , physics , quantum mechanics , operating system

Universal phenotyping techniques that can discriminate among various states of biological systems have great potential. We applied 557 fluorescent library compounds to NCI's 60 human cancer cell-lines (NCI-60) to generate a systematic fluorescence phenotypic profiling data. By the kinetic fluorescence intensity analysis, we successfully discriminated the organ origin of all the 60 cell-lines.

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