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Normal and Leukemic Stem Cell Niches: Insights and Therapeutic Opportunities
Open accessAbstract
Hematopoietic stem cells (HSC) rely on instructive cues from the bone marrow (BM) niche to maintain their quiescence and adapt blood production to the organism’s needs. Alterations in the BM niche are commonly observed in blood malignancies and directly contribute to the aberrant function of disease-initiating leukemic stem cells (LSC). Here, we review recent insights into the cellular and molecular determinants of the normal HSC niche and describe how genetic changes in stromal cells and leukemia-induced BM niche remodeling contribute to blood malignancies. Moreover, we discuss how these findings can be applied to non cell-autonomous therapies targeting the LSC niche.
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Metadata
- Authors
- Schepers, K., Campbell, T. B., & Passegué, E.
- Venue
- Cell Stem Cell
- Publisher
- Elsevier BV
- Published
- 2015-03
- Volume
- 16
- Issue
- 3
- Pages
- 254-267
- ISSN
- 1875-9777 (ISSN-L)
- 1934-5909
- OpenAlex
- W2035197415
- Cited by
- 421
- References
- 113
- FWCI
- 35.28
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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Data sources
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.
