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Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
Author(s) -
Jung Hoon Lee,
Yun Kyung Kim,
Hee Jin Kim,
Siti Hajar,
Yee Ling Tan,
NamYoung Kang,
Sum Huan Ng,
Cheol Yong 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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