Chapter title |
Mechanisms of Non-canonical Signaling in Health and Disease: Diversity to Take Therapy up a Notch?
|
---|---|
Chapter number | 9 |
Book title |
Molecular Mechanisms of Notch Signaling
|
Published in |
Advances in experimental medicine and biology, January 2018
|
DOI | 10.1007/978-3-319-89512-3_9 |
Pubmed ID | |
Book ISBNs |
978-3-31-989511-6, 978-3-31-989512-3
|
Authors |
Victor Alfred, Thomas Vaccari |
Abstract |
Non-canonical Notch signaling encompasses a wide range of cellular processes, diverging considerably from the established paradigm. It can dispense of ligand, proteolytic or nuclear activity. Non-canonical Notch signaling events have been studied mostly in the fruit fly Drosophila melanogaster, the organism in which Notch was identified first and a powerful model for understanding signaling outcomes. However, non-canonical events are ill-defined and their involvement in human physiology is not clear, hampering our understanding of diseases arising from Notch signaling alterations. At a time in which therapies based on specific targeting of Notch signaling are still an unfulfilled promise, detailed understanding of non-canonical Notch events might be key to devising more specific and less toxic pharmacologic options. Based on the blueprint of non-canonical signaling in Drosophila, here, we review and rationalize current evidence about non-canonical Notch signaling. Our effort might inform Notch biologists developing new research avenues and clinicians seeking future treatment of Notch-dependent diseases. |
X Demographics
Geographical breakdown
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United States | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
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Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
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Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 6 | 33% |
Student > Master | 3 | 17% |
Researcher | 2 | 11% |
Student > Bachelor | 2 | 11% |
Other | 1 | 6% |
Other | 2 | 11% |
Unknown | 2 | 11% |
Readers by discipline | Count | As % |
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Biochemistry, Genetics and Molecular Biology | 5 | 28% |
Immunology and Microbiology | 3 | 17% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
Economics, Econometrics and Finance | 1 | 6% |
Other | 1 | 6% |
Unknown | 1 | 6% |