@article{729a9bf70b834d6fad3d92e97f264793,
title = "Transcriptional profile and chromatin accessibility in zebrafish melanocytes and melanoma tumors",
abstract = "Transcriptional and epigenetic characterization of melanocytes and melanoma cells isolated from their in vivo context promises to unveil key differences between these developmentally related normal and cancer cell populations. We therefore engineered an enhanced Danio rerio (zebrafish) melanoma model with fluorescently labeled melanocytes to allow for isolation of normal (wild type) and premalignant (BRAFV600E-mutant) populations for comparison to fully transformed BRAFV600E-mutant, p53 loss-of-function melanoma cells. Using fluorescence-activated cell sorting to isolate these populations, we performed high-quality RNA- and ATAC-seq on sorted zebrafish melanocytes vs. melanoma cells, which we provide as a resource here. Melanocytes had consistent transcriptional and accessibility profiles, as did melanoma cells. Comparing melanocytes and melanoma, we note 4128 differentially expressed genes and 56,936 differentially accessible regions with overall gene expression profiles analogous to human melanocytes and the pigmentation melanoma subtype. Combining the RNA- and ATAC-seq data surprisingly revealed that increased chromatin accessibility did not always correspond with increased gene expression, suggesting that though there is widespread dysregulation in chromatin accessibility in melanoma, there is a potentially more refined gene expression program driving cancerous melanoma. These data serve as a resource to identify candidate regulators of the normal vs. diseased states in a genetically controlled in vivo context.",
keywords = "ATAC-seq, Melanocytes, Melanoma, RNA-seq, Zebrafish",
author = "Kramer, {Eva T.} and Godoy, {Paula M.} and Kaufman, {Charles K.}",
note = "Funding Information: Research reported in this publication was supported in part by the National Cancer Institute of the National Institutes of Health under award number R01CA240633. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. C.K.K. was funded by the Cancer Research Foundation Young Investigator Award and R01CA240633. E.T.K. was supported by the National Institutes of Health Kirschstein National Research Service Award Institutional Research Training Grant T32# GM007067 during data collection. P.M.G. was supported by the National Science Foundation Graduate Research Fellowship (DEG-1745038). Funding Information: We thank the Genome Technology Access Center in the Department of Genetics at Washington University School of Medicine for help with genomic analysis. The Center is partially supported by NCI Cancer Center Support Grant No. P30 CA91842 to the Siteman Cancer Center and by ICTS/CTSA Grant No. UL1 TR000448 from the National Center for Research Resources (NCRR), a component of the National Institutes of Health (NIH), and NIH Roadmap for Medical Research. This publication is solely the responsibility of the authors and does not necessarily represent the official view of NCRR or NIH. We also thank the Fluorescence-Activated Cell Sorting core for their assistance with sorting our samples. Publisher Copyright: {\textcopyright} The Author(s) 2021.",
year = "2022",
month = jan,
doi = "10.1093/G3JOURNAL/JKAB379",
language = "English",
volume = "12",
journal = "G3: Genes, Genomes, Genetics",
issn = "2160-1836",
number = "1",
}