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The DOI matches its Crossref record; 131 of the 131 references it cites were found in a registry or an index.

Modulating the stem cell niche for tissue regeneration

Open access
Lane, Steven W, Williams, David A, Watt, Fiona M·2014·Nature Biotechnology

Abstract

The field of regenerative medicine holds considerable promise for treating diseases that are currently intractable. Although many researchers are adopting the strategy of cell transplantation for tissue repair, an alternative approach to therapy is to manipulate the stem cell microenvironment, or niche, to facilitate repair by endogenous stem cells. The niche is highly dynamic, with multiple opportunities for intervention. These include administration of small molecules, biologics or biomaterials that target specific aspects of the niche, such as cell-cell and cell–extracellular matrix interactions, to stimulate expansion or differentiation of stem cells, or to cause reversion of differentiated cells to stem cells. Nevertheless, there are several challenges in targeting the niche therapeutically, not least that of achieving specificity of delivery and responses. We envisage that successful treatments in regenerative medicine will involve different combinations of factors to target stem cells and niche cells, applied at different times to effect recovery according to the dynamics of stem cell–niche interactions.

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Crossref · 10.1038/nbt.2978

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Metadata

Authors
Lane, S. W., Williams, D. A., & Watt, F. M.
Venue
Nature Biotechnology
Published
2014-08
Volume
32
Issue
8
Pages
795-803
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W1977109906
Cited by
615
References
131
FWCI
24.76
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Modulating the stem cell niche for tissue regeneration. https://app.cochat.ai/papers/10.1038/nbt.2978
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Lane, S. W., Williams, D. A., & Watt, F. M. (2014). Modulating the stem cell niche for tissue regeneration. Nature Biotechnology. https://doi.org/10.1038/nbt.2978

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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.