Area:
retina, systems neuroscience, neural networks, glia
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High-probability grants
According to our matching algorithm, Gabriel A. Silva is the likely recipient of the following grants.
Years |
Recipients |
Code |
Title / Keywords |
Matching score |
2006 — 2010 |
Silva, Gabriel A |
R01Activity Code Description: To support a discrete, specified, circumscribed project to be performed by the named investigator(s) in an area representing his or her specific interest and competencies. |
High Throughput Mapping of Neuronal and Glial Networks @ University of California San Diego
[unreadable] DESCRIPTION (provided by applicant): Complex cellular networks underlie the functional foundation of the mammalian central nervous system (CMS). Understanding the physiological dynamics of these networks, in other words understanding how signaling between interacting groups of cells produce and modulate meaningful physiological information, will directly contribute to our understanding of how the CNS functions in health and how it fails in disease. At present, our mechanistic understanding of the dynamics of neuronal and glial networks is very limited, even though we understand the molecular functional unit that underlies it (i.e., the synapse). One approach is to apply network theory to characterize neuronal and glial networks. Network theory is a branch of statistical mechanics that classifies complex networks independent of the physical details of the network and provides an understanding of its dynamical behavior. Applying network theory to neuronal and glial networks requires knowing their structure or topology. However, high throughput computationally intensive measurements of molecular signaling between neurons and glia, and the extraction of quantitative information about their underlying network structure is not possible given current techniques. What is needed therefore, are algorithms and software that will allow the high throughput characterization and analysis of physiological neuronal and glial networks. Here, we propose to develop computational tools that will allow us to map the spatial and temporal topology of functional neuronal and glial signaling networks, and classify and analyze them within the context of network theory. We present a detailed discussion on the algorithms and programming required to do so, and illustrate the operation and validation of a beta version of such a program. We propose that using this approach, neuronal and glial networks can be classified within known mathematical network types and behave as dictated by the quantitative properties of the network types they are classified into. We also present preliminary experimental data showing for the first time that calcium signaling in astrocyte networks, mapped using our software tools, have a previously unidentified topology. We propose that the network topologies of healthy neurons and glia remodel following injury and underlie the induction and maintenance of neuropathological disease states, making the clinical significance of these findings and the development of the computational tools required to investigate them very important. [unreadable] [unreadable]
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1 |
2013 — 2014 |
Silva, Gabriel A |
R21Activity Code Description: To encourage the development of new research activities in categorical program areas. (Support generally is restricted in level of support and in time.) |
Experimental Testing and Validation of a Quantum Dot Fret Calcium Sensor @ University of California San Diego
Project Summary This application proposes to test the cellular properties and functionality of a calcium quantum dot (qdot)- fluorescence energy transfer (FRET) sensor we have developed. These probes have been designed with the intent to provide fast, high spatial resolution fluorescence reporting of calcium signaling in cells in acute experimental conditions, within an immediate four to six hour window. There are a number of efficient genetically encoded calcium indicators that exist, but the time required for expression (typically several days) precludes their use in acute experiments like the ones we are targeting. Organic dye calcium indicators can be bulk loaded into cells with relatively short incubation periods but suffer from broad emission spectra, which prevents the detection of multiple signals due to the spectral overlap, significant photobleaching to even short exposures, and have limited spatial resolution. Here we propose testing a novel fast loading acute calcium indicator with robust and improved optical properties. We anticipate similar needs from other investigators and believe the probes we are developing will be of significant widespread value and utility. Specifically, in this application we will investigate physical dispersion and distribution of our quantum dot- FRET probes under biological conditions and use the probes to image calcium signaling in astrocyte neural glial cells.
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1 |