The DOI matches its Crossref record; 102 of the 102 references it cites were found in a registry or an index.
Hydrodynamic Transfection for Generation of Novel Mouse Models for Liver Cancer Research
Open accessAbstract
Primary liver cancers, including hepatocellular carcinoma and intrahepatic cholangiocarcinoma, are leading causes of cancer-related death worldwide. Recent large-scale genomic approaches have identified a wide number of genes whose deregulation is associated with hepatocellular carcinoma and intrahepatic cholangiocarcinoma development. Murine models are critical tools to determine the oncogenic potential of these genes. Conventionally, transgenic or knockout mouse models are used for this purpose. However, several limitations apply to the latter models. Herein, we review a novel approach for stable gene expression in mouse hepatocytes by hydrodynamic injection in combination with Sleeping Beauty-mediated somatic integration. This method represents a flexible, reliable, and cost-effective tool to generate preclinical murine models for liver cancer research. Furthermore, it can be used as an in vivo transfection method to study biochemical cross talks among multiple pathways along hepatocarcinogenesis and to test the therapeutic potential of drugs against liver cancer.
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Sorafenib in advanced hepatocellular carcinoma
Llovet, J. M., Ricci, S., Mazzaferro, V., Hilgard, P., Gane, E., Blanc, J.-F., de Oliveira, A. C., Santoro, A., Raoul, J.-L., Forner, A., et al. (2008) · New England Journal of Medicine · doi:10.1056/nejmoa0708857 · Cited by 13,097
Sorafenib in Advanced Hepatocellular Carcinoma
정, 재. (2008) · Cited by 5,586
mTOR: from growth signal integration to cancer, diabetes and ageing
Zoncu, R., Efeyan, A., & Sabatini, D. M. (2011) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3025 · Cited by 3,941
Hydrodynamics-based transfection in animals by systemic administration of plasmid DNA
Liu, F., Song, Y. K., & Liu, D. (1999) · Gene Therapy · doi:10.1038/sj.gt.3300947 · Cited by 1,727
Senescence surveillance of pre-malignant hepatocytes limits liver cancer development
Kang, T.-W., Yevsa, T., Woller, N., Hoenicke, L., Wuestefeld, T., Dauch, D., Hohmeyer, A., Gereke, M., Rudalska, R., Potapova, A., et al. (2011) · Nature · doi:10.1038/nature10599 · Cited by 1,621
Molecular pathogenesis of human hepatocellular carcinoma
Thorgeirsson, S. S., & Grisham, J. W. (2002) · Nature Genetics · doi:10.1038/ng0802-339 · Cited by 1,439
Ivics, Z., Hackett, P. B., Plasterk, R. H., & Izsvák, Z. (1997) · Cell · doi:10.1016/s0092-8674(00)80436-5 · Cited by 1,430
Cancer Stem Cells: Models and Concepts
Dalerba, P., Cho, R. W., & Clarke, M. F. (2007) · Annual Review of Medicine · doi:10.1146/annurev.med.58.062105.204854 · Cited by 1,274
The core protein of hepatitis C virus induces hepatocellular carcinoma in transgenic mice
Moriya, K., Fujie, H., Shintani, Y., Yotsuyanagi, H., Tsutsumi, T., Ishibashi, K., Matsuura, Y., Kimura, S., Miyamura, T., & Koike, K. (1998) · Nature Medicine · doi:10.1038/2053 · Cited by 1,206
HBx gene of hepatitis B virus induces liver cancer in transgenic mice
Kim, C.-M., Koike, K., Saito, I., Miyamura, T., & Jay, G. (1991) · Nature · doi:10.1038/351317a0 · Cited by 1,158
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Metadata
- Authors
- Chen, X., & Calvisi, D. F.
- Venue
- The American Journal of Pathology
- Publisher
- Elsevier BV
- Published
- 2014-04
- Volume
- 184
- Issue
- 4
- Pages
- 912-923
- ISSN
- 0002-9440 (ISSN-L)
- OpenAlex
- W2087106096
- Cited by
- 434
- References
- 102
- FWCI
- 12.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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