Automated whole animal bio-imaging assay for human cancer dissemination.
A quantitative bio-imaging platform is developed for analysis of human cancer dissemination in a short-term vertebrate xenotransplantation assay. Six days after implantation of cancer cells in zebrafish embryos, automated imaging in 96 well plates coupled to image analysis algorithms quantifies spre...
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Public Library of Science (PLoS)
2012
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oai:doaj.org-article:98586dadc5d548bd80b730a2939422462021-11-18T07:28:38ZAutomated whole animal bio-imaging assay for human cancer dissemination.1932-620310.1371/journal.pone.0031281https://doaj.org/article/98586dadc5d548bd80b730a2939422462012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22347456/?tool=EBIhttps://doaj.org/toc/1932-6203A quantitative bio-imaging platform is developed for analysis of human cancer dissemination in a short-term vertebrate xenotransplantation assay. Six days after implantation of cancer cells in zebrafish embryos, automated imaging in 96 well plates coupled to image analysis algorithms quantifies spreading throughout the host. Findings in this model correlate with behavior in long-term rodent xenograft models for panels of poorly- versus highly malignant cell lines derived from breast, colorectal, and prostate cancer. In addition, cancer cells with scattered mesenchymal characteristics show higher dissemination capacity than cell types with epithelial appearance. Moreover, RNA interference establishes the metastasis-suppressor role for E-cadherin in this model. This automated quantitative whole animal bio-imaging assay can serve as a first-line in vivo screening step in the anti-cancer drug target discovery pipeline.Veerander P S GhotraShuning HeHans de BontWietske van der EntHerman P SpainkBob van de WaterB Ewa Snaar-JagalskaErik H J DanenPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 2, p e31281 (2012) |
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Medicine R Science Q Veerander P S Ghotra Shuning He Hans de Bont Wietske van der Ent Herman P Spaink Bob van de Water B Ewa Snaar-Jagalska Erik H J Danen Automated whole animal bio-imaging assay for human cancer dissemination. |
description |
A quantitative bio-imaging platform is developed for analysis of human cancer dissemination in a short-term vertebrate xenotransplantation assay. Six days after implantation of cancer cells in zebrafish embryos, automated imaging in 96 well plates coupled to image analysis algorithms quantifies spreading throughout the host. Findings in this model correlate with behavior in long-term rodent xenograft models for panels of poorly- versus highly malignant cell lines derived from breast, colorectal, and prostate cancer. In addition, cancer cells with scattered mesenchymal characteristics show higher dissemination capacity than cell types with epithelial appearance. Moreover, RNA interference establishes the metastasis-suppressor role for E-cadherin in this model. This automated quantitative whole animal bio-imaging assay can serve as a first-line in vivo screening step in the anti-cancer drug target discovery pipeline. |
format |
article |
author |
Veerander P S Ghotra Shuning He Hans de Bont Wietske van der Ent Herman P Spaink Bob van de Water B Ewa Snaar-Jagalska Erik H J Danen |
author_facet |
Veerander P S Ghotra Shuning He Hans de Bont Wietske van der Ent Herman P Spaink Bob van de Water B Ewa Snaar-Jagalska Erik H J Danen |
author_sort |
Veerander P S Ghotra |
title |
Automated whole animal bio-imaging assay for human cancer dissemination. |
title_short |
Automated whole animal bio-imaging assay for human cancer dissemination. |
title_full |
Automated whole animal bio-imaging assay for human cancer dissemination. |
title_fullStr |
Automated whole animal bio-imaging assay for human cancer dissemination. |
title_full_unstemmed |
Automated whole animal bio-imaging assay for human cancer dissemination. |
title_sort |
automated whole animal bio-imaging assay for human cancer dissemination. |
publisher |
Public Library of Science (PLoS) |
publishDate |
2012 |
url |
https://doaj.org/article/98586dadc5d548bd80b730a293942246 |
work_keys_str_mv |
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