A quantitative system for studying metastasis using transparent zebrafish Journal Article
| Authors: | Heilmann, S.; Ratnakumar, K.; Langdon, E. M.; Kansler, E. R.; Kim, I. S.; Campbell, N. R.; Perry, E. B.; McMahon, A. J.; Kaufman, C. K.; Van Rooijen, E.; Lee, W.; Iacobuzio-Donahue, C. A.; Hynes, R. O.; Zon, L. I.; Xavier, J. B.; White, R. M. |
| Article Title: | A quantitative system for studying metastasis using transparent 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-BRAFV600E;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. © 2015 AACR. |
| Keywords: | adult; controlled study; human cell; promoter region; nonhuman; cell proliferation; animal cell; animal tissue; melanoma; metastasis; image analysis; animal experiment; animal model; intron; transcriptomics; protein p53; animal husbandry; pigmentation; poisson distribution; gene mapping; sequence alignment; probability; quantitative analysis; plasmid; progeny; image processing; mathematical computing; b raf kinase; zebra fish; transposon; rna sequence; biotransformation; mathematical analysis; tumor microenvironment; principal component analysis; minimum inhibitory concentration; human; priority journal; article; crispr associated protein |
| Journal Title: | Cancer Research |
| Volume: | 75 |
| Issue: | 20 |
| ISSN: | 0008-5472 |
| Publisher: | American Association for Cancer Research |
| Date Published: | 2015-10-15 |
| Start Page: | 4272 |
| End Page: | 4282 |
| Language: | English |
| DOI: | 10.1158/0008-5472.can-14-3319 |
| PROVIDER: | scopus |
| PMCID: | PMC4609292 |
| PUBMED: | 26282170 |
| DOI/URL: | |
| Notes: | Export Date: 2 December 2015 -- Source: Scopus |
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