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Cadherin 23 and protocadherin 15 interact to form tip-link filaments in sensory hair cells
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Citations
Cited by
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A Composite of Multiple Signals Distinguishes Causal Variants in Regions of Positive Selection
Grossman, S. R., Shylakhter, I., Karlsson, E. K., Byrne, E. H., Morales, S., Frieden, G., Hostetter, E., Angelino, E., Garber, M., Zuk, O., et al. (2010) · Science · doi:10.1126/science.1183863 · Cited by 512
TMC1 Forms the Pore of Mechanosensory Transduction Channels in Vertebrate Inner Ear Hair Cells
Pan, B., Akyuz, N., Liu, X.-P., Asai, Y., Nist-Lund, C., Kurima, K., Derfler, B. H., György, B., Limapichat, W., Walujkar, S., et al. (2018) · Neuron · doi:10.1016/j.neuron.2018.07.033 · Cited by 357
Thinking outside the cell: how cadherins drive adhesion
Brasch, J., Harrison, O. J., Honig, B., & Shapiro, L. (2012) · Trends in Cell Biology · doi:10.1016/j.tcb.2012.03.004 · Cited by 344
The Physiology of Mechanoelectrical Transduction Channels in Hearing
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Metadata
- Authors
- Kazmierczak, P., Sakaguchi, H., Tokita, J., Wilson-Kubalek, E. M., Milligan, R. A., Müller, U., & Kachar, B.
- Venue
- Nature
- Published
- 2007-09
- Volume
- 449
- Issue
- 7158
- Pages
- 87-91
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2092597147
- Cited by
- 742
- References
- 0
- FWCI
- 15.82
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- This page
- CoChat. (2026). Citation check: Cadherin 23 and protocadherin 15 interact to form tip-link filaments in sensory hair cells. https://app.cochat.ai/papers/10.1038/nature06091
- The paper
- Kazmierczak, P., Sakaguchi, H., Tokita, J., Wilson-Kubalek, E. M., Milligan, R. A., Müller, U., & Kachar, B. (2007). Cadherin 23 and protocadherin 15 interact to form tip-link filaments in sensory hair cells. Nature. https://doi.org/10.1038/nature06091
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.