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Modeling Myeloid Malignancies Using Zebrafish

Human myeloid malignancies represent a substantial disease burden to individuals, with significant morbidity and death. The genetic underpinnings of disease formation and progression remain incompletely understood. Large-scale human population studies have identified a high frequency of potential dr...

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Detalles Bibliográficos
Autores principales: Potts, Kathryn S., Bowman, Teresa V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722844/
https://www.ncbi.nlm.nih.gov/pubmed/29255698
http://dx.doi.org/10.3389/fonc.2017.00297
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author Potts, Kathryn S.
Bowman, Teresa V.
author_facet Potts, Kathryn S.
Bowman, Teresa V.
author_sort Potts, Kathryn S.
collection PubMed
description Human myeloid malignancies represent a substantial disease burden to individuals, with significant morbidity and death. The genetic underpinnings of disease formation and progression remain incompletely understood. Large-scale human population studies have identified a high frequency of potential driver mutations in spliceosomal and epigenetic regulators that contribute to malignancies, such as myelodysplastic syndromes (MDS) and leukemias. The high conservation of cell types and genes between humans and model organisms permits the investigation of the underlying mechanisms of leukemic development and potential therapeutic testing in genetically pliable pre-clinical systems. Due to the many technical advantages, such as large-scale screening, lineage-tracing studies, tumor transplantation, and high-throughput drug screening approaches, zebrafish is emerging as a model system for myeloid malignancies. In this review, we discuss recent advances in MDS and leukemia using the zebrafish model.
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spelling pubmed-57228442017-12-18 Modeling Myeloid Malignancies Using Zebrafish Potts, Kathryn S. Bowman, Teresa V. Front Oncol Oncology Human myeloid malignancies represent a substantial disease burden to individuals, with significant morbidity and death. The genetic underpinnings of disease formation and progression remain incompletely understood. Large-scale human population studies have identified a high frequency of potential driver mutations in spliceosomal and epigenetic regulators that contribute to malignancies, such as myelodysplastic syndromes (MDS) and leukemias. The high conservation of cell types and genes between humans and model organisms permits the investigation of the underlying mechanisms of leukemic development and potential therapeutic testing in genetically pliable pre-clinical systems. Due to the many technical advantages, such as large-scale screening, lineage-tracing studies, tumor transplantation, and high-throughput drug screening approaches, zebrafish is emerging as a model system for myeloid malignancies. In this review, we discuss recent advances in MDS and leukemia using the zebrafish model. Frontiers Media S.A. 2017-12-04 /pmc/articles/PMC5722844/ /pubmed/29255698 http://dx.doi.org/10.3389/fonc.2017.00297 Text en Copyright © 2017 Potts and Bowman. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Potts, Kathryn S.
Bowman, Teresa V.
Modeling Myeloid Malignancies Using Zebrafish
title Modeling Myeloid Malignancies Using Zebrafish
title_full Modeling Myeloid Malignancies Using Zebrafish
title_fullStr Modeling Myeloid Malignancies Using Zebrafish
title_full_unstemmed Modeling Myeloid Malignancies Using Zebrafish
title_short Modeling Myeloid Malignancies Using Zebrafish
title_sort modeling myeloid malignancies using zebrafish
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722844/
https://www.ncbi.nlm.nih.gov/pubmed/29255698
http://dx.doi.org/10.3389/fonc.2017.00297
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