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

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 fluor...

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Detalles Bibliográficos
Autores principales: Lee, Jun-Seok, Kim, Yun Kyung, Kim, Han Jo, Hajar, Siti, Tan, Yee Ling, Kang, Nam-Young, Ng, Shin Hui, Yoon, Chang No, Chang, Young-Tae
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285665/
https://www.ncbi.nlm.nih.gov/pubmed/22384151
http://dx.doi.org/10.1371/journal.pone.0032096
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author Lee, Jun-Seok
Kim, Yun Kyung
Kim, Han Jo
Hajar, Siti
Tan, Yee Ling
Kang, Nam-Young
Ng, Shin Hui
Yoon, Chang No
Chang, Young-Tae
author_facet Lee, Jun-Seok
Kim, Yun Kyung
Kim, Han Jo
Hajar, Siti
Tan, Yee Ling
Kang, Nam-Young
Ng, Shin Hui
Yoon, Chang No
Chang, Young-Tae
author_sort Lee, Jun-Seok
collection PubMed
description 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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spelling pubmed-32856652012-03-01 Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening Lee, Jun-Seok Kim, Yun Kyung Kim, Han Jo Hajar, Siti Tan, Yee Ling Kang, Nam-Young Ng, Shin Hui Yoon, Chang No Chang, Young-Tae PLoS One Research Article 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. Public Library of Science 2012-02-23 /pmc/articles/PMC3285665/ /pubmed/22384151 http://dx.doi.org/10.1371/journal.pone.0032096 Text en Lee et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Lee, Jun-Seok
Kim, Yun Kyung
Kim, Han Jo
Hajar, Siti
Tan, Yee Ling
Kang, Nam-Young
Ng, Shin Hui
Yoon, Chang No
Chang, Young-Tae
Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title_full Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title_fullStr Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title_full_unstemmed Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title_short Identification of Cancer Cell-Line Origins Using Fluorescence Image-Based Phenomic Screening
title_sort identification of cancer cell-line origins using fluorescence image-based phenomic screening
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3285665/
https://www.ncbi.nlm.nih.gov/pubmed/22384151
http://dx.doi.org/10.1371/journal.pone.0032096
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