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RESEARCH OUTLINE
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Our research represents interdisciplinary biomedical and engineering approaches aimed at the functional clinical regeneration of the central nervous system (CNS), and an understading of how the CNS represents and processes information; with a particular focus on the neural retina (which is an extension of the brain and an excellent model for the CNS). We are essentially focusing on three broad approaches to achieve these clinical goals: 1. The use of quantum dot nanotechnology to study the molecular and cellular biology of neurons and glia (the two main cell types in the CNS ). We are developing and applying technologies that allow us to quantitatively measure and track the dynamics of cell signaling processes using functionalized quantum dots and advanced imaging, combined with computational modeling of the data. 2. The study of how complex biological neural (i.e. again both neuronal and glial) networks in the CNS change following CNS injury. We are interested in understanding quantitatively how remodeling of connections between CNS cells can lead to the induction and maintenance of disease. Our approach is to use advanced forms of cellular imaging to accumulate data that can than be studied quantitatively using network theory and related mathematical and computational tools. 3. The development of cellular replacement and transplantation strategies that make use of stem cells as the source of donor cells, and the development and integration of molecular bioengineering approaches for their ex vivo differentiation and delivery (i.e. transplantation) into target CNS sites of injury. In particular, we are focusing on the differentiation and in vivo delivery of adult stem cells into retinal photoreceptor neurons, which are lost following degenerative retinal disorders, and how engineered stem cells can protect cells following injury (i.e. neuroprotection). In particular, our work focuses on the molecular details of a neuropathological process called reactive gliosis , which is a biochemical and physical barrier to neuronal regeneration following essentially every form of CNS trauma and degeneration. We are attempting to understand how it is initiated, how it is maintained, and how it contributes to the disease process by studying intracellular molecular details using quantum dots, and by studying large interacting networks of cells quantitatively.
To achieve these scientific and clinical objectives we are developing two major sets of tools, which in themselves represent major scientific objectives in our group. 1. Quantum dot nanotechnologies specific for neural cells. Because nanoscience focuses on engineering materials and devices in a controlled way at spatial scales that are similar to those of the constituent building blocks of cells themselves (i.e. a physical scale that is on par with the molecular scale of proteins, receptors, DNA, RNA, etc.), this approach represents a very powerful way of integrating technology and physiological systems in order to study and reverse underlying disease processes. 2. We are developing high throughput algorithms and programming for mapping the functional network structure and architecture of large groups of neurons and macroglial cells. This is not trivial, since functional connections and signaling between CNS cells do not necessarily require physical contact between cells, so that it is difficult to trace and map their network structures in a high throughput way (i.e. for large numbers of statistically meaningful cells in a fast way). To achieve this, we are combining our quantum dot nanotechnology with confocal microscopy and the development of computational methods. In particular, we developing software that will automate the detection and mapping of complex cellular networks, and even allow their analysis and characterization within the mathematical structure of network theory. By studying both healthy CNS networks and networks following injury or degenerative events (first in vitro- based on cell culture models being developed in our lab that mimic pathological processes such as gliosis, and later in vivo in rodent models of CNS disorders), we will be able to gain an understanding of how complex neural cellular networks participate in disease and develop approaches to reverse this, regenerate the CNS, and develop novel clinical strategies to treat neurological and neural retinal disorders.
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Quantum dot labeled neurons and glial cells. Neurons (left panel) and neural retinal glial Muller cells (right panel) labeled with functionalized fluorescent quantum dots chemically functionalized with and optimized for antibodies for beta-tubulin and glial fibrillary acidic protein (GFAP), specific proteins expressed by mature neurons and glia, respectively. The labeling profile of quantum dots permits visualizing individual molecular binding events, since we can measure single ligand-quantum dot binding events, contrary to labeling with standard immunocytochemistry using traditional fluorophores which is diffuse and does not allow the extraction of quantitative information (see below).
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Neurons and glial cells labeled by immunocytochemisrty. Neurons (left panel) and Muller cells (right panel) labeled by immunocytochemistry using a standard fluorophores (FITC) for beta-tubulin (neurons; red) and GFAP (glial cells; red). All cells were labeled with a non-specific nuclear Dapi stain (blue).
Using advanced imaging such as confocal and two photon microscopy, we can make 3D movies of quantum dot labeled neural cells from which, using computational algorithms and software we are developing, we can extract and derive quantitative information from the data to allow us to measure, track, and understand the molecular dynamics of cellular processes in neurons and glia in order understand their physiology and pathophysiology.
Movie 1: Confocal Z-stack reconstruction of GFAP (red) labeled Muller cells using standard immunocytochemistry. These cells were also labeled with a non-specific nuclear Dapi stain (blue). Movie 2: Confocal Z-stack reconstruction of PC12 neurons labeled with beta-tubulin onjugated quantum dots. Movie 3: Confocal Z-stack reconstruction of neural retinal Muller cells for GFAP. GFAP is upregulated during gliosis in macroglial cells in the CNS (astroctyes and Muller cells), and we can use quantum dot nanotechnology in culture systems of gliosis and in vivo to study the development and progresssion of gliosis in under to understand and correct the pathology.
The computational extraction and derviation of quantitative data from qualitative microscopy images such as this movie are based on some of the unique properties of quantum dots. In this example we can use the blinking of quantum dots (look closely!) to infer information about the dynamics of single ligand-quantum dot binding events to target molecules on the cells.
Examples of quantitative data analysis of quantum dot cell data. Left panel: Counts of the number of quantum dots in a sample. Middle panel: Measured intensities of two pixels over time in a sample. The pixel represented by the green trace corresponds to two quantum dots, while the blue trace represents a single dot. The red line is an arbitrarily selected threshold for determining quantum dot fluorescence above background. Right panel: Plot of maximum derived intensity for a field of quantum dots in a cell. The measured intensity is based on a deconvolved, background-subtracted image.
InterCellTrac is a software platform we are developing for highthroughput analysis and mapping of neural (both neuronal and macroglial) cellular networks. This example is tracking the spatial and temporal evolution of calcium signaling in an astrocyte glial network. The algorithms built into the software track the progression of intracellular calcium signaling within cells and intercellular signaling between cells based on real time fluorescence microscopy. From measurements derived using these tools we are exploring the structure (i.e. architecture) of complex neural biological cellular networks and the remodeling that occurs associated with plasticity and disease states in the central nervous system, including the neural retina.
Mesenchymal stem cells being cultured in our lab treated with the neuronal inducing agent retinoic acid and expressing rhodopsin (red), a protein specific to photoreceptor neurons. The nuclei are labelled with Dapi (blue) a non-specific nuclear stain. We are developing specific differentiation protocols for MSC into photoreceptors by combining key diffusible factors.
Applications of the technologies and experimental approaches we are developing are ultimately applied in situ in an attempt to develop new approaches to treating degenerative neural retinal disorders and reducing CNS reactive gliosis. This movie shows how we can visualize physiologically intact structures using fluorescence and confocal imaging. Shown here is a flat mount whole neural retina preparation stained with the non-specific nuclear stain Dapi. As the plane of focus goes through the retina three distinctive cell retinal cell layers can be seen in their intact physiological organization, which preserves the cytoarchitecture and functional anatomy of the retina.
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