Our faculty have interests in a variety of areas.
Case Western Reserve University, 1980. Microtubule dynamics in chromosome migration during meiosis; growth cone motility; cytoskeletal basis of growth cone turning and collapse; in vivo imaging of actin filament and microtubule dynamics and actin bundling in growth cones.
University of Michigan, 1974. Development and evaluation of computer-assisted instruction.
University at Buffalo, 1992. Assistant Professor. Effects of ethanol on dendrites; mechanism of ethanol's effects on central nervous system; development of zebrafish model to study alcohol and drug effects on heart and retina.
Rutgers University, 2011. Image analysis algorithms for whole-slide tissue biopsy samples; quantitative image feature set design for biomedical disease states in tissue images; segmentation algorithms for tissue regions and structures; non-linear dimensionality reduction methods for high-dimensional image feature data; supervised and unsupervised classification methods for identifying disease state and prognosis on imaging; active learning methods for efficient training of supervised biomedical image classifiers; multi-target classifiers for identifying targets in the presence of confounders.
University of Minnesota, 1961; M.D., University of Mississippi, 1965. Comparative hematology; hemopoiesis.
SUNY at Albany, 1975. Videomicroscopy; image processing and analysis. Cell motility, ciliary and flagellar motility, mucociliary transport. Tissue engineering, wound healing.
Research Assistant Professor, University at Buffalo. Regulation of neurotransmitter release in the nervous system; regulation of cytokine production and release from cells of the nervous system and the immune system; interactions among proinflammatory cytokines, adrenergic responses and opioid responses during persistent pain; interactions between proinflammatory cytokines and adrenergic responses during antidepressant drug administration providing possible mechanisms of action for antidepressants in the treatment of depression and chronic pain states. Study of the G-protein systems involved in the therapeutic action of antidepressants for both depression and chronic pain. Targeting anti-TNF strategies to the hippocampus for treatment of depression, neuropathic pain, and Alzheimer's disease.
Yale University, 1984. Endothelial responses to flow; the role of hemodynamics in vascular remodeling, especially during the development of cerebral aneurysms; mechanisms of cell migration in wound healing and angiogenesis; regulation of myosin structure and dynamics in non-muscle cells.
University of California, Davis, 1975. Form and function in canines of extant and extinct cats; treatment for soft tissue injuries.
Washington University, 2010. Research in our group focuses on deciphering meaningful information from anatomical structures of cells and tissues, and connect them with molecular information to gain better understanding of biological processes and disease conditions. We develop novel quantitative imaging methods, incorporating physical as well as statistical information of biological structures and their associated functional genomic information. We are currently seeking PhD students to work on a project to study focal segmental glomerulosclerosis (FSGS), using microscopic and macroscopic images of kidneys. FSGS is a form of kidney disease, in which some of the glomeruli in kidney are damaged, and this disease can lead to renal failure. FSGS can affect both children and adults. While secondary conditions can be associated with FSGS, pathogenesis of primary FSGS is not well understood. Moreover, FSGS cannot be detected without the use of invasive approaches. The major goal of the study is to develop a semi/non-invasive quantitative imaging method to detect FSGS, and also to decipher meaningful pathologic information pertaining to the etiology of the disease. In this project, we are collaborating with researchers from both academia and industry in multiple disciplines, including clinical pathology, nephrology, biochemistry, and applied optics. The outcome of this work has tangible clinical impact in detecting FSGS and understanding the pathogenesis of this disease.
Gdansk Medical University, 2003. The long term mission of my research has been to understand developmental and regenerative processes within the mammalian CNS. Towards these goals I have employed stereological and microscopic imaging techniques, stem cell cultures and in vivo models to analyze brain development, regenerative capacity, etiology of neurodevelopmental and neurodegenerative diseases. I have established a quantitative Neuroanatomy Stereology laboratory within a multi-disciplinary Molecular and Structural Neurobiology and Gene Therapy Program.
Academy of Medicine, Gdansk, Poland, 1980. Studies led to discovery of new gene regulating mechanism "Integrative Nuclear FGFR1 Signaling (INFS) pathway" and a new theory ("Feed-Forward-and-Gate Signaling") that explains how genes are regulated during development, including the development of neural stem cells. This theory has been applied to analyze the etiology of neurodevelopmental, neurodegenerative disorders (Parkinson disease, Huntington Disease) and to develop new potential therapies. Towards these goals the lab developed new transgenic mouse model of human schizophrenia-like disorder and transgene rat model of Parkinson Disease and new mouse and rat gene-dependent models of Huntington disease. The lab applies biophotonics to analyses of protein mobility and interactions [Fluorescence Recovery after Photobleaching (FRAP), Fluorescence Loss In Photobleaching (FLIP), and Fluorescence Resonance Energy Transfer (FRET)] during gene regulations. Our collaborative work (including Dr. Paras Prasad, Department of Chemistry) has established the feasibility of using a new type of nanoparticle for effective gene delivery the brain in vivo. This nanomedicinal approach offers a promising future direction for effective therapeutic manipulation of neural stem/progenitor cells as well as in vivo targeted brain gene therapy.
Professor and Chair, University of Pennsylvania. Computational advances offer the promise of enabling the quantitative analysis of structural data at all levels of scale. In Anatomy, imaging and mechanical biosensors can be aligned with computational tools to evaluate large multidimensional data sets gleaned from the human organism. In a parallel approach high-resolution cellular imaging methods including histology, super resolution optical, and electron microscopic examination can be married with the new analytics of machine vision and machine learning. The computational analysis of structure offers incredible new tools with which to quantitatively mine the data within both macroscopic structure (101) and microscopic (10-6 to -9) worlds and integrate those data with other modes including molecular and cell biology information. In our work we seek to use quantitative histological image analysis for modeling complex biological systems. We do this starting with a fundamental hypothesis which is that a high-resolution image is a self-organizing set of data that uniquely represents all of the genes, all of the molecules, and all of the cells captured at one point in time. In other words, a histological image is what it is for very specific reasons and those reasons are the relationships amongst the genomics, epigenomics, proteomics, metabolomics, and all the "omics" that go into making that image. The promise of quantitative histological image analysis lies in the hypothesis that the linkages relating all of the molecular events contributing to an image are still extant and minable.
Professor, University at Buffalo. Biochemical and Molecular Genetics. Inborn errors of metabolism; Clinical Laboratory Activities: diagnosis of metabolic muscle diseases, particularly mitochondrial myopathies, glycogen storage diseases disorders of exercise intolerance; identification of new mutations in muscle disease genes and establishment of allele-specific oligonucleotide analysis of pathogenic mutations; disease gene expression studies. Research Laboratory Activities: Genetic variation and susceptibility to disease. Currently funded project: identification of genetic risk factors for susceptibility to cholesterol-lowering drug-induced myopathy.