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Cited by 349

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Modeling the Initiation and Progression of Human Acute Leukemia in Mice

Barabé, Frédéric, Kennedy, James A., Hope, Kristin J., Dick, John E.·2007·Science

Abstract

Our understanding of leukemia development and progression has been hampered by the lack of in vivo models in which disease is initiated from primary human hematopoietic cells. We showed that upon transplantation into immunodeficient mice, primitive human hematopoietic cells expressing a mixed-lineage leukemia ( MLL ) fusion gene generated myeloid or lymphoid acute leukemias, with features that recapitulated human diseases. Analysis of serially transplanted mice revealed that the disease is sustained by leukemia-initiating cells (L-ICs) that have evolved over time from a primitive cell type with a germline immunoglobulin heavy chain (IgH) gene configuration to a cell type containing rearranged IgH genes. The L-ICs retained both myeloid and lymphoid lineage potential and remained responsive to microenvironmental cues. The properties of these cells provide a biological basis for several clinical hallmarks of MLL leukemias.

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Crossref · 10.1126/science.1139851

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Metadata

Authors
Barabé, F., Kennedy, J. A., Hope, K. J., & Dick, J. E.
Venue
Science
Published
2007-04-27
Volume
316
Issue
5824
Pages
600-604
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2023728706
Cited by
349
References
3
FWCI
16.84
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Modeling the Initiation and Progression of Human Acute Leukemia in Mice. https://app.cochat.ai/papers/10.1126/science.1139851
The paper
Barabé, F., Kennedy, J. A., Hope, K. J., & Dick, J. E. (2007). Modeling the Initiation and Progression of Human Acute Leukemia in Mice. Science. https://doi.org/10.1126/science.1139851

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.