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Cited by 166

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CDH2 and CDH11 act as regulators of stem cell fate decisions

Open access
Alimperti, Stella, Andreadis, Stelios T.·2015·Stem Cell Research

Abstract

Accumulating evidence suggests that the mechanical and biochemical signals originating from cell-cell adhesion are critical for stem cell lineage specification. In this review, we focus on the role of cadherin mediated signaling in development and stem cell differentiation, with emphasis on two well-known cadherins, cadherin-2 (CDH2) (N-cadherin) and cadherin-11 (CDH11) (OB-cadherin). We summarize the existing knowledge regarding the role of CDH2 and CDH11 during development and differentiation in vivo and in vitro. We also discuss engineering strategies to control stem cell fate decisions by fine-tuning the extent of cell-cell adhesion through surface chemistry and microtopology. These studies may be greatly facilitated by novel strategies that enable monitoring of stem cell specification in real time. We expect that better understanding of how intercellular adhesion signaling affects lineage specification may impact biomaterial and scaffold design to control stem cell fate decisions in three-dimensional context with potential implications for tissue engineering and regenerative medicine.

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Metadata

Authors
Alimperti, S., & Andreadis, S. T.
Venue
Stem Cell Research
Publisher
Elsevier BV
Published
2015-05
Volume
14
Issue
3
Pages
270-282
ISSN
1873-5061 (ISSN-L)
OpenAlex
W1967265511
Cited by
166
References
6
FWCI
7.11
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: CDH2 and CDH11 act as regulators of stem cell fate decisions. https://app.cochat.ai/papers/10.1016/j.scr.2015.02.002
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Alimperti, S., & Andreadis, S. T. (2015). CDH2 and CDH11 act as regulators of stem cell fate decisions. Stem Cell Research. https://doi.org/10.1016/j.scr.2015.02.002

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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.