The Karakousis Lab is primarily focused on understanding the molecular basis of Mycobacterium tuberculosis persistence and antibiotic tolerance. A systems biology-based approach, including the use of several novel in vitro and animal models, in combination with transcriptional, proteomic, genetic, imaging, and computational techniques, is being used to identify host cytokine networks responsible for immunological control of M. tuberculosis growth, as well as M. tuberculosis regulatory and metabolic pathways required for bacillary growth restriction and reactivation. In particular, we are actively investigating the regulatory cascade involved in the mycobacterial stringent response. Another major focus of the lab is the development of host-directed therapies for TB, with the goal of shortening treatment and improving long-term lung function. Additional research interests include the development of novel molecular assays for the rapid diagnosis of latent TB infection and active TB disease, and for the detection of drug resistance.

The primary area of statistical expertise in the Qian-Li Xue Lab is the development and application of statistical methods for: (1) handling the truncation of information on underlying or unobservable outcomes (e.g., disability) as a result of screening, (2) missing data, including outcome (e.g., frailty) censoring by a competing risk (e.g., mortality) and (3) trajectory analysis of multivariate outcomes. Other areas of methodologic research interests include multivariate, latent variable models. In Women's Health and Aging Studies, we have closely collaborated with scientific investigators on the design and analysis of longitudinal data relating biomarkers of inflammation, hormonal dysregulation and micronutrient deficiencies to the development and progression of frailty and disability, as well as characterizing the natural history of change in cognitive and physical function over time.

Our research is directed toward how the brain controls the movements of the eyes (including eye movements induced by head motion) using studies in normal human beings, patients and experimental animals. The focus is on mechanisms underlying adaptive ocular motor control. More specifically, what are mechanisms by which the brain learns to cope with the changes associated with normal development and aging as well as the damage associated with disease and trauma? How does the brain keep its eye movement reflexes properly calibrated? Our research strategy is to make accurate, quantitative measures of eye movements in response to precisely controlled stimuli and then use the analytical techniques of the control systems engineer to interpret the findings. Research areas: 1) learning and compensation for vestibular disturbances that occur either within the labyrinth or more centrally within the brain, 2) the mechanisms by which the brain maintains correct alignment of the eyes to prevent diplopia and strabismus, and 3) the role of ocular proprioception in localizing objects in space for accurate eye-hand coordination.

Complexity in signaling networks is often derived from co-opting one set of molecules for multiple operations. Understanding how cells achieve such sophisticated processing using a finite set of molecules within a confined space--what we call the ""signaling paradox""--is critical to biology and engineering as well as the emerging field of synthetic biology. In the Inoue Lab, we have recently developed a series of chemical-molecular tools that allow for inducible, quick-onset and specific perturbation of various signaling molecules. Using this novel technique in conjunction with fluorescence imaging, microfabricated devices, quantitative analysis and computational modeling, we are dissecting intricate signaling networks. In particular, we investigate positive-feedback mechanisms underlying the initiation of neutrophil chemotaxis (known as symmetry breaking), as well as spatio-temporally compartmentalized signaling of Ras and membrane lipids such as phosphoinositides. In parallel, we also try to understand how cell morphology affects biochemical pathways inside cells. Ultimately, we will generate completely orthogonal machinery in cells to achieve existing, as well as novel, cellular functions. Our synthetic, multidisciplinary approach will elucidate the signaling paradox created by nature.

The Caterina lab is focused on dissecting mechanisms underlying acute and chronic pain sensation. We use a wide range of approaches, including mouse genetics, imaging, electrophysiology, behavior, cell culture, biochemistry and neuroanatomy to tease apart the molecular and cellular contributors to pathological pain sensation. A few of the current projects in the lab focus on defining the roles of specific subpopulations of neuronal and non-neuronal cells to pain sensation, defining the role of RNA binding proteins in the development and maintenance of neuropathic pain, and understanding how rare skin diseases known as palmoplantar keratodermas lead to severe pain in the hands and feet.

Our Molecular Oncology lab seeks to understand the genomic wiring of response and resistance to immunotherapy through integrative genomic, transcriptomic, single-cell and liquid biopsy analyses of tumor and immune evolution. Through comprehensive exome-wide sequence and genome-wide structural genomic analyses we have discovered that tumor cells evade immune surveillance by elimination of immunogenic mutations and associated neoantigens through chromosomal deletions. Additionally, we have developed non-invasive molecular platforms that incorporate ultra-sensitive measurements of circulating cell-free tumor DNA (ctDNA) to assess clonal dynamics during immunotherapy. These approaches have revealed distinct dynamic ctDNA and T cell repertoire patterns of clinical response and resistance that are superior to radiographic response assessments. Our work has provided the foundation for a molecular response-adaptive clinical trial, where therapeutic decisions are made not based on imaging but based on molecular responses derived from liquid biopsies. Overall, our group focuses on studying the temporal and spatial order of the metastatic and immune cascade under the selective pressure of immune checkpoint blockade with the ultimate goal to translate this knowledge into “next-generation” clinical trials and change the way oncologists select patients for immunotherapy.

The research conducted in the Mumm Lab (Dept. of Ophthalmology, Wilmer Eye Institute) is focused on understanding how neural circuits are formed, how they function, and how they can be regenerated, to develop new therapies for retinal regeneration. Toward that end, we investigate the development, function, and regeneration of disease-relevant neurons and neural circuits responsible for vision. An emphasis is placed on translating what can be learned in regenerative model systems to develop novel therapies for stimulating dormant regenerative capacities in humans, Therefore, we apply what we learn from a naturally regenerative species, the zebrafish, toward the development of novel therapies for restoring visual function to patients. We place an emphasis on unique perspectives zebrafish afford to biological studies, such as in vivo time-lapse imaging of cellular behaviors and cell-cell interactions, and high-throughput chemical and genetic screening. We have pioneered several technologies to support this work including multicolor imaging of neural circuit formation, a selective cell ablation methodology, and a quantitative high-throughput phenotypic screening platform. Together, these approaches are providing novel insights into how the degeneration and regeneration of discrete retinal cell types is controlled.

Our lab is interested in understanding the fundamental mechanisms of how cells move and implications in disease treatment. We use an interdisciplinary approach involving fluorescent live cell imaging, genetics, and computer modeling to study the systems level properties of the biochemical networks that drive cell migration.

The Todd Brown Lab focuses on metabolic, endocrine and skeletal abnormalities in HIV-infected patients, particularly as these factors relate to aging. Our studies take an epidemiologic approach to understanding the occurrence and prevalence of insulin resistance, diabetes, and anthropometric changes in HIV patients and their relationship to antiretroviral treatment.

Research in the Romsai Boonyasai Lab focuses on systems-based approaches for improving health care quality, including reducing harm during care transitions after hospital discharge and improving outcomes related to hypertension and other chronic diseases. We recently have focused on developing and evaluating practice-based tools for improving the accuracy of blood pressure measurement, overcoming clinical inertia to treatment, and engaging patients in self-management of their health.