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https://scholarbank.nus.edu.sg/handle/10635/157376
DC Field | Value | |
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dc.title | GENETIC MECHANISMS OF INTERMITTENT FASTING AND ISCHEMIC STROKE | |
dc.contributor.author | JOONKI KIM | |
dc.date.accessioned | 2019-07-31T18:01:08Z | |
dc.date.available | 2019-07-31T18:01:08Z | |
dc.date.issued | 2019-01-22 | |
dc.identifier.citation | JOONKI KIM (2019-01-22). GENETIC MECHANISMS OF INTERMITTENT FASTING AND ISCHEMIC STROKE. ScholarBank@NUS Repository. | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/157376 | |
dc.description.abstract | Intermittent fasting is being reported for its beneficial effects in health maintenance, aging, cognition, metabolic syndromes, cancer, cardiovascular diseases, and neurologic disorders. Considering the pleiotropic and hormetic effects of intermittent fasting in wide variety of molecular mechanisms, the application of next-generation sequencing serves as a method of choice for investigating the whole transcriptomic alterations that can predict possible functional changes. Current thesis comprises two studies analyzing genetic alterations on heart or brain induced by exposure to intermittent fasting interventions under healthy or ischemic stroke condition using RNA sequencing. For the first time, paralleled comparison of different intermittent fasting methods in each experimental condition was successfully conducted to reveal the significant genetic changes differentially expressed in accordance with variances of fasting intensity. | |
dc.language.iso | en | |
dc.subject | Intermittent fasting,Ischemic stroke,RNA sequencing,Transcriptome,Brain,Heart | |
dc.type | Thesis | |
dc.contributor.department | PHYSIOLOGY | |
dc.contributor.supervisor | THIRUMA VALAVAN ARUMUGAM | |
dc.contributor.supervisor | SHEN HAN MING | |
dc.description.degree | Ph.D | |
dc.description.degreeconferred | DOCTOR OF PHILOSOPHY | |
dc.identifier.orcid | 0000-0002-5583-1085 | |
Appears in Collections: | Ph.D Theses (Open) |
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File | Description | Size | Format | Access Settings | Version | |
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Final Thesis by Joonki Kim 27062019.pdf | 4.75 MB | Adobe PDF | OPEN | None | View/Download |
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