Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/428973
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dc.date.accessioned2022-12-21T04:40:31Z-
dc.date.available2022-12-21T04:40:31Z-
dc.identifier.urihttp://hdl.handle.net/10603/428973-
dc.description.abstractAmyloid Precursor Protein (APP) is a key player in Alzheimer s disease (AD). Despite intuitive insights into differential proteolysis of APP, there is a little understanding of how the amyloidogenic machinery is distributed at the synapses. This is largely due to the lack of information on the localization and trafficking of amyloidogenic machinery within/outside functional zones of individual synapses. Here, we combined confocal microscopy, multiple paradigms of super-resolution imaging (dSTORM and STED), high-frequency single particle tracking (sptPALM) and novel analytical methods to decipher the number, nanoscale localization and segregation of APP molecules on the dendritic compartments and within the functional zones of an excitatory synapse. We show that APP is differentially distributed in these synaptic zones into functional domains. Furthermore, we show that APP molecules are exchanged in and out of these domains by lateral diffusion. We populated this actual distribution and kinetics of APP exchange in a specific CA1 dendritic shaft of a neuropil from stratum radiatum of the hippocampus. We used this recreation of canonical spines with distinct APP localization to carry out insilico experiments to study their dynamics. In the next part, we correlated the localization of and#946;- and and#61543;- secretases in the synaptic compartments and evaluated the association of these molecules on postsynaptic density (PSD) and endocytic zone (EZ). We further evaluated the association of APP with secretases as well as between secretases. This information on the molecular detail was used to reconstruct an average dendritic spine mimicking the realistic nanoscale distribution of the core components of the machinery involved in the amyloidogenic pathway. Distribution of APP and secretases at EZ was used to predict the average number of molecules in a unitary endocytic vesicle to validate the role of molecular determinants that would affect the rate of product formation inside an endocytic compartment of a defined volume...-
dc.format.extentxvi, 159-
dc.languageEnglish-
dc.rightsuniversity-
dc.titleSuper Resolution Imaging Reveals Localization and Regulation of Nanoscale Machinery Involved in the Amyloidogenic Pathway-
dc.title.alternativeSuper-Resolution Imaging Reveals Localization and Regulation of Nanoscale Machinery Involved in the Amyloidogenic Pathway-
dc.creator.researcherKedia, Shekhar-
dc.subject.keywordLife Sciences-
dc.subject.keywordNeuroscience and Behaviour-
dc.subject.keywordNeurosciences-
dc.contributor.guideNair, Deepak-
dc.publisher.placeBangalore-
dc.publisher.universityIndian Institute of Science Bangalore-
dc.publisher.institutionCentre for Neuroscience-
dc.date.completed2019-
dc.date.awarded2020-
dc.format.dimensions30-
dc.format.accompanyingmaterialNone-
dc.source.universityUniversity-
dc.type.degreePh.D.-
Appears in Departments:Centre for Neuroscience

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01_title.pdfAttached File30.77 kBAdobe PDFView/Open
02_prelim pages.pdf237.21 kBAdobe PDFView/Open
04_abstract.pdf76.22 kBAdobe PDFView/Open
05_chapter 1.pdf1.11 MBAdobe PDFView/Open
06_chapter 2.pdf1.01 MBAdobe PDFView/Open
07_chapter 3.pdf3.29 MBAdobe PDFView/Open
08_chapter 4.pdf81.02 kBAdobe PDFView/Open
09_chapter 5.pdf451.19 kBAdobe PDFView/Open
10_annexure.pdf745.9 kBAdobe PDFView/Open
80_recommendation.pdf481.49 kBAdobe PDFView/Open


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