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Mitochondria: The Hub of Cellular Ca2+Signaling
Abstract
Mitochondria couple cellular metabolic state with Ca 2+transport processes. They therefore control not only their own intra-organelle [Ca 2+], but they also influence the entire cellular network of cellular Ca 2+signaling, including the endoplasmic reticulum, the plasma membrane, and the nucleus. Through the detailed study of mitochondrial roles in Ca 2+signaling, a remarkable picture of inter-organelle communication has emerged. We here review the ways in which this system provides integrity and flexibility for the cell to cope with the countless demands throughout its life cycle and discuss briefly the mechanisms through which it can also drive cell death.
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Metadata
- Authors
- Szabadkai, G., & Duchen, M. R.
- Venue
- Physiology
- Publisher
- American Physiological Society
- Published
- 2008-04
- Volume
- 23
- Issue
- 2
- Pages
- 84-94
- ISSN
- 0886-1714 (ISSN-L)
- 1548-9213
- 1548-9221
- OpenAlex
- W2033673006
- Cited by
- 403
- References
- 119
- FWCI
- 12.78
- 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.
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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.