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S100 proteins structure functions and pathology
Abstract
S100 proteins regulate intracellular processes such as cell growth and motility, cell cycle regulation, transcription and differentiation. Twenty members have been identified so far, and altogether, S100 proteins represent the largest subgroup in the EF-hand Ca2+ -binding protein family. A unique feature of these proteins is that individual members are localized in specific cellular compartments from which some are able to relocate upon Ca2+ activation, transducing the Ca2+ signal in a temporal and spacial manner by interacting with different targets specific for each S100 protein. Some members are even secreted from cells exerting extracellular, cytokine-like activities partially via the surface receptor RAGE (receptor for advanced glycation endproducts) with paracrine effects e.g. on neurons, promoting their survival during development or after injury. Another important aspect is that 14 bona fide S100 genes are found in a gene cluster on human chromosome 1q21 where a number of chromosomal abnormalities occur. This results in a deregulated expression of some S100 genes associated with neoplasias. Recently, S100 proteins have received increasing attention due to their close association with several human diseases including cardiomyopathy, neurodegenerative disorders and cancer. They have also been proven to be valuable in the diagnostic of these diseases, as predictive markers of improving clinical management, outcome and survival of patients and are considered having a potential as drug targets to improve therapies.
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Self-citationNakamura, T., Hayashi, M., Kato, A., et al. (1998) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.1998.8158 · Cited by 8
[7] Calcium-binding proteins and their assessment in ocular diseases
Polans, A. S., Gee, R. L., Walker, T. M., & van Ginkel, P. R. (2000) · Methods in enzymology on CD-ROM/Methods in enzymology · doi:10.1016/s0076-6879(00)16719-9 · Cited by 4
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Self-citationEhrchen, J. M., Sunderkötter, C., Foell, D., Vogl, T., & Roth, J. (2009) · Journal of Leukocyte Biology · doi:10.1189/jlb.1008647 · Cited by 846
Weaver, I. C. G., Meaney, M. J., & Szyf, M. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0507526103 · Cited by 771
S100B's double life: Intracellular regulator and extracellular signal
Donato, R., Sorci, G., Riuzzi, F., Arcuri, C., Bianchi, R., Brozzi, F., Tubaro, C., & Giambanco, I. (2009) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2008.11.009 · Cited by 731
Metadata
- Authors
- Heizmann, C. W.
- Venue
- Frontiers in Bioscience
- Publisher
- IMR Press
- Published
- 2002
- Volume
- 7
- Issue
- 4
- Pages
- d1356-1368
- ISSN
- 1093-4715 (ISSN-L)
- 1093-9946
- DOI
- 10.2741/a846
- OpenAlex
- W173643440
- Cited by
- 706
- References
- 93
- Type
- conference abstract
- 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 ›
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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.