Title | A Quantitative System for Studying Metastasis Using Transparent Zebrafish. |
Publication Type | Journal Article |
Year of Publication | 2015 |
Authors | Heilmann S, Ratnakumar K, Langdon E, Kansler E, Kim I, Campbell NR, Perry E, McMahon A, Kaufman C, van Rooijen E, Lee W, Iacobuzio-Donahue C, Hynes R, Zon L, Xavier J, White R |
Journal | Cancer Res |
Volume | 75 |
Issue | 20 |
Pagination | 4272-4282 |
Date Published | 2015 10 15 |
ISSN | 1538-7445 |
Keywords | Algorithms, Animals, Animals, Genetically Modified, Cell Line, Tumor, Disease Models, Animal, Gene Expression Profiling, Melanoma, Models, Biological, Mutation, Neoplasm Metastasis, Neoplasms, Transcriptome, Zebrafish |
Abstract | Metastasis is the defining feature of advanced malignancy, yet remains challenging to study in laboratory environments. Here, we describe a high-throughput zebrafish system for comprehensive, in vivo assessment of metastatic biology. First, we generated several stable cell lines from melanomas of transgenic mitfa-BRAF(V600E);p53(-/-) fish. We then transplanted the melanoma cells into the transparent casper strain to enable highly quantitative measurement of the metastatic process at single-cell resolution. Using computational image analysis of the resulting metastases, we generated a metastasis score, μ, that can be applied to quantitative comparison of metastatic capacity between experimental conditions. Furthermore, image analysis also provided estimates of the frequency of metastasis-initiating cells (∼1/120,000 cells). Finally, we determined that the degree of pigmentation is a key feature defining cells with metastatic capability. The small size and rapid generation of progeny combined with superior imaging tools make zebrafish ideal for unbiased high-throughput investigations of cell-intrinsic or microenvironmental modifiers of metastasis. The approaches described here are readily applicable to other tumor types and thus serve to complement studies also employing murine and human cell culture systems. |
DOI | 10.1158/0008-5472.CAN-14-3319 |
Alternate Journal | Cancer Res. |
PubMed ID | 26282170 |
PubMed Central ID | PMC4609292 |
Grant List | T32 CA160001 / CA / NCI NIH HHS / United States DP2CA186572 / CA / NCI NIH HHS / United States DP2 CA186572 / CA / NCI NIH HHS / United States K08AR055368 / AR / NIAMS NIH HHS / United States R01 CA103846 / CA / NCI NIH HHS / United States K08 AR055368 / AR / NIAMS NIH HHS / United States R01 HL048801 / HL / NHLBI NIH HHS / United States 5T32CA160001 / CA / NCI NIH HHS / United States |
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