Chapter title |
The STIM-Orai Pathway: Light-Operated Ca2+ Entry Through Engineered CRAC Channels
|
---|---|
Chapter number | 7 |
Book title |
Store-Operated Ca²⁺ Entry (SOCE) Pathways
|
Published in |
Advances in experimental medicine and biology, January 2017
|
DOI | 10.1007/978-3-319-57732-6_7 |
Pubmed ID | |
Book ISBNs |
978-3-31-957731-9, 978-3-31-957732-6
|
Authors |
Guolin Ma, Shufan Wen, Yun Huang, Yubin Zhou |
Abstract |
Ca(2+) signals regulate a plethora of cellular functions that include muscle contraction, heart beating, hormone secretion, lymphocyte activation, gene expression, and metabolism. To study the impact of Ca(2+) signals on biological processes, pharmacological tools and caged compounds have been commonly applied to induce fluctuations of intracellular Ca(2+) concentrations. These conventional approaches, nonetheless, lack rapid reversibility and high spatiotemporal resolution. To overcome these disadvantages, we and others have devised a series of photoactivatable genetically encoded Ca(2+) actuators (GECAs) by installing light sensitivities into a bona fide highly selective Ca(2+) channel, the Ca(2+) release-activated Ca(2+) (CRAC) channel. Store-operated CRAC channel serves as a major route for Ca(2+) entry in many cell types. These GECAs enable remote and precise manipulation of Ca(2+) signaling in both excitable and non-excitable cells. When combined with nanotechnology, it becomes feasible to wirelessly photo-modulate Ca(2+)-dependent activities in vivo. In this chapter, we briefly review most recent advances in engineering CRAC channels to achieve optical control over Ca(2+) signaling, outline their design principles and kinetic features, and present exemplary applications of GECAs engineered from CRAC channels. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 2 | 14% |
Researcher | 2 | 14% |
Student > Ph. D. Student | 2 | 14% |
Student > Doctoral Student | 1 | 7% |
Student > Bachelor | 1 | 7% |
Other | 4 | 29% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 6 | 43% |
Neuroscience | 2 | 14% |
Unspecified | 1 | 7% |
Agricultural and Biological Sciences | 1 | 7% |
Nursing and Health Professions | 1 | 7% |
Other | 2 | 14% |
Unknown | 1 | 7% |