PUBLICATION
Efficient Transduction of Zebrafish Melanoma Cell Lines and Embryos Using Lentiviral Vectors
- Authors
- Fazio, M., Avagyan, S., van Rooijen, E., Mannherz, W., Kaufman, C.K., Lobbardi, R., Langenau, D.M., Zon, L.I.
- ID
- ZDB-PUB-170531-3
- Date
- 2017
- Source
- Zebrafish 14(4): 379-382 (Journal)
- Registered Authors
- Langenau, David, van Rooijen, Ellen, Zon, Leonard I.
- Keywords
- gene delivery, lentiviral, lentivirus, retrovirus, viral vectors, zebrafish cell lines
- MeSH Terms
-
- Animals
- Genetic Vectors/administration & dosage*
- Lentivirus/genetics*
- Melanoma/genetics*
- Melanoma/pathology
- Membrane Glycoproteins/genetics
- Retroviridae/genetics*
- Transduction, Genetic*
- Tumor Cells, Cultured
- Viral Envelope Proteins/genetics
- Zebrafish/embryology*
- Zebrafish/genetics*
- Zebrafish/growth & development
- PubMed
- 28557653 Full text @ Zebrafish
Citation
Fazio, M., Avagyan, S., van Rooijen, E., Mannherz, W., Kaufman, C.K., Lobbardi, R., Langenau, D.M., Zon, L.I. (2017) Efficient Transduction of Zebrafish Melanoma Cell Lines and Embryos Using Lentiviral Vectors. Zebrafish. 14(4):379-382.
Abstract
The establishment of in vitro cultures of zebrafish cancer cells has expanded the potential of zebrafish as a disease model. However, the lack of effective methods for gene delivery and genetic manipulation has limited the experimental applications of these cultures. To overcome this barrier, we tested and optimized vesicular stomatitis virus glycoprotein (VSV-G) pseudotyped lentiviral and retroviral vector transduction protocols. We show that lentivirus successfully and efficiently transduced zebrafish melanoma cell lines in vitro, allowing antibiotic selection, fluorescence-based sorting, and in vivo allotransplantation. In addition, injection of concentrated lentiviral particles into embryos and tumors established the feasibility of in vivo gene delivery.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping