The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Neural cell recognition molecule L1: relating biological complexity to human disease mutations
Abstract
Human single gene disorders that affect the nervous system provide a host of natural mutations that can be deployed in the quest to understand its development and function. A paradigm for this approach is the study of disorders caused by mutations in the gene for the neural cell recognition molecule L1. L1 is the founder member of a subfamily of cell adhesion molecules that are primarily expressed in the nervous system, and to date it is the only one to be associated with a hereditary disease. In this review we will summarize how the analysis of pathological mutations in L1 is complementing the study of mouse models and in vitro analysis of L1 function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The L1 Family of Neural Cell Adhesion Molecules: Old Proteins Performing New Tricks
Hortsch, M. (1996) · Neuron · doi:10.1016/s0896-6273(00)80192-0 · Cited by 259
Scotland, P., Zhou, D., Benveniste, H., & Bennett, V. (1998) · The Journal of Cell Biology · doi:10.1083/jcb.143.5.1305 · Cited by 185
Cited by
Spectrin and Ankyrin-Based Pathways: Metazoan Inventions for Integrating Cells Into Tissues
Bennett, V., & Baines, A. J. (2001) · Physiological Reviews · doi:10.1152/physrev.2001.81.3.1353 · Cited by 930
Maness, P. F., & Schachner, M. (2007) · Nature Neuroscience · doi:10.1038/nn1827 · Cited by 847
Plasma exosomal α-synuclein is likely CNS-derived and increased in Parkinson’s disease
Shi, M., Liu, C., Cook, T. J., Bullock, K. M., Zhao, Y., Ginghina, C., Li, Y., Aro, P., Dator, R., He, C., et al. (2014) · Acta Neuropathologica · doi:10.1007/s00401-014-1314-y · Cited by 676
Sakakibara, S.-I., Nakamura, Y., Yoshida, T., Shibata, S., Koike, M., Takano, H., Ueda, S., Uchiyama, Y., Noda, T., & Okano, H. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.232087499 · Cited by 354
Hereditary spastic paraplegia: Clinical-genetic characteristics and evolving molecular mechanisms
Lo Giudice, T., Lombardi, F., Santorelli, F. M., Kawarai, T., & Orlacchio, A. (2014) · Experimental Neurology · doi:10.1016/j.expneurol.2014.06.011 · Cited by 347
Metadata
- Authors
- Kenwrick, S.
- Venue
- Human Molecular Genetics
- Publisher
- Oxford University Press (OUP)
- Published
- 2000-04-01
- Volume
- 9
- Issue
- 6
- Pages
- 879-886
- ISSN
- 0964-6906 (ISSN-L)
- 1460-2083
- OpenAlex
- W2096689334
- Cited by
- 265
- References
- 2
- FWCI
- 6.90
- Type
- journal article
- Language
- en
- Open access
- closed
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Neural cell recognition molecule L1: relating biological complexity to human disease mutations. https://app.cochat.ai/papers/10.1093/hmg/9.6.879
- The paper
- Kenwrick, S. (2000). Neural cell recognition molecule L1: relating biological complexity to human disease mutations. Human Molecular Genetics. https://doi.org/10.1093/hmg/9.6.879
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.
