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  4. IMAGING IN VIVO DYNAMICS OF INFLAMMATION AND NEURODEGENERATION

IMAGING IN VIVO DYNAMICS OF INFLAMMATION AND NEURODEGENERATION

File(s)
Zhang_cornellgrad_0058F_12318.pdf (207.4 MB)
Permanent Link(s)
https://doi.org/10.7298/f80h-6w25
https://hdl.handle.net/1813/103239
Collections
Cornell Theses and Dissertations
Author
Zhang, Yuying
Abstract

In the past, microglia were broadly categorized into two “states”: “resting” and “activated”. In the healthy mature CNS, microglia have ramified morphologies with small soma and many thin processes, which were classified as in the “resting” state. However, any disturbance in the homeostasis of CNS, such as infection and injury, can trigger microglia to shorten processes and enlarge cell soma, resembling a more traditional macrophage-like “amoeboid” phenotype (Kettenmann et al., 2011). The phenotype shift is accompanied with changes in gene expression and functional behaviors, which were collectively summarized as “microglia activation” (Hanisch & Kettenmann, 2007; Kettenmann et al., 2011). Activated microglia can actively migrate to injury or infection sites following chemotactic gradients or increase local densities through proliferation (Hanisch & Kettenmann, 2007). Until recently, studies on microglia focused only on their roles as inflammatory cells in the contexts of CNS disturbances such as injuries and neurodegenerative diseases. However, recent studies showed that microglia are far more complex and the “resting” state microglia have been active in neuron network surveillance, protruding and retracting their processes constantly, contributing to neonatal synaptic pruning and adult synaptic plasticity (Harry, 2013; Schafer et al., 2012). In this thesis, we used multi-photon imaging along with other optical techniques to investigate microglia’s behaviors and functions in a variety of different scenarios.

Description
201 pages
Date Issued
2020-12
Committee Chair
Nishimura, Nozomi
Committee Member
Ferrari, Silvia
Fetcho, Joseph R.
Degree Discipline
Biomedical Engineering
Degree Name
Ph. D., Biomedical Engineering
Degree Level
Doctor of Philosophy
Type
dissertation or thesis
Link(s) to Catalog Record
https://newcatalog.library.cornell.edu/catalog/13312089

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