Please use this identifier to cite or link to this item: https://doi.org/10.1155/2015/641475
Title: Zebrafish as a model for the study of human myeloid malignancies
Authors: Lu, J.-W 
Hsieh, M.-S
Liao, H.-A
Yang, Y.-J
Ho, Y.-J
Lin, L.-I
Keywords: imatinib
retinoic acid
acute myeloblastic leukemia
Article
disease model
drug screening
hematopoiesis
hematopoietic stem cell transplantation
leukemogenesis
myelodysplastic syndrome
myeloproliferative neoplasm
nonhuman
transgenics
tumor xenograft
zebra fish
animal
genetics
human
Leukemia, Myeloid
pathology
transgenic animal
zebra fish
Danio rerio
Animals
Animals, Genetically Modified
Disease Models, Animal
Humans
Leukemia, Myeloid
Xenograft Model Antitumor Assays
Zebrafish
Issue Date: 2015
Citation: Lu, J.-W, Hsieh, M.-S, Liao, H.-A, Yang, Y.-J, Ho, Y.-J, Lin, L.-I (2015). Zebrafish as a model for the study of human myeloid malignancies. BioMed Research International 2015 : 641475. ScholarBank@NUS Repository. https://doi.org/10.1155/2015/641475
Rights: Attribution 4.0 International
Abstract: Myeloid malignancies are heterogeneous disorders characterized by uncontrolled proliferation or/and blockage of differentiation of myeloid progenitor cells. Although a substantial number of gene alterations have been identified, the mechanism by which these abnormalities interact has yet to be elucidated. Over the past decades, zebrafish have become an important model organism, especially in biomedical research. Several zebrafish models have been developed to recapitulate the characteristics of specific myeloid malignancies that provide novel insight into the pathogenesis of these diseases and allow the evaluation of novel small molecule drugs. This report will focus on illustrative examples of applications of zebrafish models, including transgenesis, zebrafish xenograft models, and cell transplantation approaches, to the study of human myeloid malignancies. © 2015 Jeng-Wei Lu et al.
Source Title: BioMed Research International
URI: https://scholarbank.nus.edu.sg/handle/10635/183612
ISSN: 23146133
DOI: 10.1155/2015/641475
Rights: Attribution 4.0 International
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