PUBLICATION
Deciphering melanoma cell states and plasticity with zebrafish models
- Authors
- Travnickova, J., Patton, E.E.
- ID
- ZDB-PUB-201220-3
- Date
- 2020
- Source
- The Journal of investigative dermatology 141(6): 1389-1394 (Other)
- Registered Authors
- Patton, E. Elizabeth
- Keywords
- none
- MeSH Terms
-
- Animals
- Animals, Genetically Modified
- Antineoplastic Agents/pharmacology
- Antineoplastic Agents/therapeutic use
- Cell Plasticity/drug effects
- Cell Plasticity/genetics*
- Cell Transformation, Neoplastic/genetics*
- Cell Transformation, Neoplastic/pathology
- Disease Models, Animal
- Drug Screening Assays, Antitumor
- Gene Expression Regulation, Neoplastic
- Humans
- Melanoma/drug therapy
- Melanoma/genetics*
- Melanoma/pathology
- Mutation
- RNA-Seq
- Single-Cell Analysis
- Skin Neoplasms/drug therapy
- Skin Neoplasms/genetics*
- Skin Neoplasms/pathology
- Tumor Microenvironment/drug effects
- Tumor Microenvironment/genetics
- Zebrafish
- PubMed
- 33340501 Full text @ J. Invest. Dermatol.
Citation
Travnickova, J., Patton, E.E. (2020) Deciphering melanoma cell states and plasticity with zebrafish models. The Journal of investigative dermatology. 141(6):1389-1394.
Abstract
Dynamic cellular heterogeneity underlies melanoma progression and therapy resistance. Advances in single cell technologies have revealed an increasing number of tumor and microenvironment cell states in melanoma but little is understood about their function in vivo. Zebrafish models are a powerful system for discovery, live-imaging and functional investigation of cell states throughout melanoma progression and treatment. By capturing dynamic melanoma states in living animals, zebrafish have the potential to resolve the complexity of melanoma heterogeneity from a single cell through to disease processes within the context of the whole body, revealing novel cancer biology and therapeutic targets.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping