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NameEmailPhD ProgramResearch InterestPublications
Wan, Yisong
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Microbiology & Immunology

RESEARCH INTEREST
Cancer Biology, Cell Signaling, Genetics, Immunology, Molecular Biology

We are a molecular genetics laboratory studying immune functions by using mouse models. The focus of our research is to investigate the molecular mechanisms of immune responses under normal and pathological conditions. Our goal is to find therapies for various human immune disorders, such as autoimmunity (type 1 diabetes and multiple sclerosis), tumor and cancer, and inflammatory diseases (inflammatory bowel disease, asthma and arthritis).

Weissman, Bernard E.
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Pathobiology & Translational Science, Toxicology

RESEARCH INTEREST
Biochemistry, Cancer Biology, Genetics, Molecular Biology

How the loss of different components of the SWI/SNF complex contributes to neoplastic transformation remains an open and important question. My laboratory concentrates on addressing this question by the combined use of biological, biochemical and mouse models for SWI/SNF complex function.

Yeh, Elaine
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Biology

RESEARCH INTEREST
Biophysics, Cancer Biology, Cell Biology, Genetics

The site of microtubule attachment to the chromosome is the kinetochore, a complex of over 60 proteins assembled at a specific site on the chromosome, the centromere. Almost every kinetochore protein identified in yeast is conserved through humans and the organization of the kinetochore in yeast may serve as the fundamental unit of attachment. More recently we have become interested in the role of two different classes of ATP binding proteins, cohesions (Smc3, Scc1) and chromatin remodeling factors (Cac1, Hir1, Rdh54) in the structural organization of the kinetochore and their contribution to the fidelity of chromosome segregation.

Yeh, Jen Jen
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Cell Biology & Physiology, Pharmacology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Computational Biology, Drug Discovery, Genomics, Molecular Biology, Molecular Medicine, Pharmacology, Translational Medicine

We are a translational cancer research lab. The overall goal of our research is to find therapeutic targets and biomarkers for patients with pancreatic cancer and to translate our results to the clinic. In order to accomplish this, we analyze patient tumors using a combination of genomics and proteomics to study the patient tumor and tumor microenvironment, identify and validate targets using forward and reverse genetic approaches in both patient-derived cell lines and mouse models. At the same time, we evaluate novel therapeutics for promising targets in mouse models in order to better predict clinical response in humans.

Zhang, Yanping
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Pharmacology

RESEARCH INTEREST
Cancer Biology, Cell Biology, Developmental Biology, Genetics, Molecular Biology

We employ modern technologies – genomics, proteomics, mouse models, multi-color digital imaging, etc. to study cancer mechanisms. We have made major contributions to our understanding of the tumor suppressor ARF and p53 and the oncoprotein Mdm2.

Berg, Jonathan
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Pathobiology & Translational Science

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Genetics, Genomics, Translational Medicine

My research group is broadly interested in the application of sequencing technologies in medical genetics and genomics, using a combination of wet lab and computational approaches.  As a clinician, I am actively involved in the care of patients with hereditary disorders, and the research questions that my group investigates have direct relevance to patient care.  One project uses genome sequencing in families with likely hereditary cancer susceptibility in order to identify novel genes that may be involved in monogenic forms of cancer predisposition.  Another major avenue of investigation examines the use of genome-scale sequencing in clinical medicine, ranging from diagnostic testing to newborn screening, to screening in healthy adults.

Hathaway, Nathaniel A.
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Genetics & Molecular Biology, Pharmaceutical Sciences

RESEARCH INTEREST
Cancer Biology, Cell Biology, Chemical Biology, Drug Discovery, Molecular Medicine

The Hathaway lab is focused on understanding the biological events responsible for dynamically regulating the selective expression of the mammalian genome. In multicellular organisms, genes must be regulated with high precision during stem cell differentiation to achieve normal development. Pathologically, the loss of proper gene regulation caused by defects in chromatin regulatory enzymes has been found to be a driving force in cancer initiation and progression. My lab uses a combination of chemical biology and cell biology approaches to unravel the molecular mechanisms that govern gene expression. We utilize new tools wielding an unprecedented level of temporal control to visualize changes in chromatin structure and function in mammalian cells and animal models. In addition, we seek to identify small molecule inhibitors that are selective for chromatin regulatory enzymes with the potential for future human therapeutics.

Pecot, Chad Victor
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Cell Biology & Physiology, Genetics & Molecular Biology

RESEARCH INTEREST
Bioinformatics, Cancer Biology, Nanomedicine, Pathology, Translational Medicine

Pecot Lab: Therapeutic RNAi to Teach Cancer how to “Heal” and Block Metastatic Biology

Synopsis: The Pecot lab is looking for eager, self-motivated students to join us in tackling the biggest problem in oncology, metastases. An estimated 90% of cancer patients die because of metastases. However, the fundamental underpinnings of what enables metastases to occur are poorly understood. The Pecot lab takes a 3-pronged approach to tackling this problem: 1) By studying the tumor microenvironment (TME), several projects are studying how cancers can be taught to “heal” themselves, 2) By studying how cancers manipulate non-coding RNAs (micro-RNAs, circle RNAs, snoRNAs, etc) to promote their metastatic spread, and 3) We are investigating several ways to develop and implement therapeutic RNA interference (RNAi) to tackle cancer-relevant pathways that are traditionally regarded as “undruggable”. Students joining the lab will be immersed in the development of novel metastatic models, modeling and studying the TME both in vitro and in vivo, using bioinformatic approaches to uncover mechanistic “roots”, and implementation of therapeutic approaches

Lockett, Ryen Matthew
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Chemistry

RESEARCH INTEREST
Biochemistry, Biophysics, Cancer Biology, Structural Biology

Research in the Lockett group focuses on the development of analytical model systems to: i) chemically modify the surface of thin films, and study chemical and biochemical reactions occurring on those surfaces; ii) study drug metabolism in an environment that closely mimics the human liver; iii) measure tumor invasion in an environment that closely mimics human tissue. /  / While these problems require techniques found in analytical chemistry, biochemistry, molecular biology, bioengineering, and surface science we are particularly interested in the technologies that allow us to quantitatively measure reactions and analytes.

Purvis, Jeremy
WEBSITE
EMAIL
PUBLICATIONS

PHD PROGRAM
Bioinformatics & Computational Biology, Genetics & Molecular Biology

RESEARCH INTEREST
Cancer Biology, Cell Signaling, Computational Biology, Molecular Biology, Systems Biology

We study the behavior of individual cells with a specific focus on “irreversible” cell fate decisions such as apoptosis, senescence, and differentiation. Why do genetically identical cells choose different fates? How much are these decisions controlled by the cell itself and how much is influenced by its environment? We address these questions using a variety of experimental and computational approaches including time-lapse microscopy, single-molecule imaging, computational modeling, and machine learning. Our ultimate goal is to not only understand how cells make decisions under physiological conditions—but to discover how to manipulate these decisions to treat disease.