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.

Research in the Alan Scott Lab involves several important areas of genomics. Our team collaborates on a study to investigate the exon and genome sequence variants that determine phenotype, with a specific focus on the genetic bases of cleft lip and palate. We are also involved in assessing and improving genomic technologies to provide next-generation sequencing and analysis of sequence data to the clinical environment. In addition, we have a longstanding interest in the problem of gene annotation and the evolutionary genomics of vertebrates, especially endangered species.

Research in the Adam D. Sylvester Lab primarily focuses on the way in which humans and primates move through the environment, with the aim of reconstructing the locomotor repertoire of extinct hominins and other primates. We use a quantitative approach that involves the statistical analysis of three-dimensional biological shapes, specifically musculoskeletal structures, and then link the anatomy to function and function to locomotor behavior.

Research in the Liliana Florea Lab applies computational techniques toward modeling and problem solving in biology and genetic medicine. We work to develop computational methods for analyzing large-scale sequencing data to help characterize molecular mechanisms of diseases. The specific application areas of our research include genome analysis and comparison, cDNA-to-genome alignment, gene and alternative splicing annotation, RNA editing, microbial comparative genomics, miRNA genomics and computational vaccine design. Our most recent studies seek to achieve accurate and efficient RNA-seq correction and explore the role of HCV viral miRNA in hepatocellular carcinoma.

The Wolfgang Laboratory is interested in understanding the metabolic properties of neurons and glia at a mechanistic level in situ. Some of the most interesting, enigmatic and understudied cells in metabolic biochemistry are those of the nervous system. Defects in these pathways can lead to devastating neurological disease. Conversely, altering the metabolic properties of the nervous system can have surprisingly beneficial effects on the progression of some diseases. However, the mechanisms of these interactions are largely unknown. We use biochemical and molecular genetic techniques to study the molecular mechanisms that the nervous system uses to sense and respond to metabolic cues. We seek to understand the neurometabolic regulation of behavior and physiology in obesity, diabetes and neurological disease. Current areas of study include deconstructing neurometabolic pathways to understand the biochemistry of the nervous system and how these metabolic pathways impact animal behavior and physiology, metabolic heterogeneity and the evolution of metabolic adaptation.

The O'Connor Lab studies the molecular basis of infectious disease using Legionella pneumophila pathogenesis as a model system. We are looking at the network of molecular interactions acting at the host-pathogen interface. Specifically, we use L. pneumophila pathogenesis to examine the numerous mechanisms by which an intracellular bacterial pathogen can establish infection, how it exploits host cell machinery to accomplish this, and how individual proteins and their component pathways coordinately contribute to disease. We are also studying the role of environmental hosts in the evolution of human pathogens. Using genetics and functional genomics, we compare and contrast the repertoires of virulence proteins required for growth in a broad assortment of hosts, how the network of molecular interactions differs between hosts, and the mechanisms by which L. pneumophila copes with this variation.

Our scientists pursue out-of-the-box approaches at the very edge of knowledge to: 1) Elucidate the molecular/cellular/physiological landscapes of ovarian and uterine cancers. 2) Understand the earliest events in their development and mechanisms of tumor evolution/dormancy and drug resistance. 3) Deliver promises for better prevention, detection and treatment to women who have diseases or are at an increased risk to have these cancers.

Research in the Salzberg Lab focuses on the development of new computational methods for analysis of DNA from the latest sequencing technologies. Over the years, we have developed and applied software to many problems in gene finding, genome assembly, comparative genomics, evolutionary genomics and sequencing technology itself. Our current work emphasizes analysis of DNA and RNA sequenced with next-generation technology.

The goal of research in the Beer Lab is to understand how gene regulatory information is encoded in genomic DNA sequence. Our work uses functional genomics DNase-seq, ChIP-seq, RNA-seq, and chromatin state data to computationally identify combinations of transcription factor binding sites that operate to define the activity of cell-type specific enhancers. We are currently focused on improving SVM methodology by including more general sequence features and constraints predicting the impact of SNPs on enhancer activity (delta-SVM) and GWAS association for specific diseases, experimentally assessing the predicted impact of regulatory element mutation in mammalian cells, systematically determining regulatory element logic from ENCODE human and mouse data, and using this sequence based regulatory code to assess common modes of regulatory element evolution and variation.

The Brennen laboratory takes a rigorous, multi-disciplinary, team-based approach towards developing innovative therapeutic and prognostic strategies for prostate cancer with an emphasis on exploiting vulnerabilities within the tumor microenvironment towards this goal. To accomplish this goal, we are strategically pursuing novel therapeutic platforms, including stromal-targeted prodrugs, protoxins, and radiolabeled antibodies, in addition to cell-based therapy and drug delivery; all of which are designed to reduce toxicity to peripheral non-target tissue (i.e. side effects) while maximizing anti-tumor efficacy (i.e. therapeutic benefit). Currently, many of these strategies are focused on overcoming stromal barriers to anti-tumor immune responses such that men suffering from prostate cancer can share in the immense, revolutionary power of immunotherapy that is transforming care for many with advanced disease in other tumor types previously thought to be unmanageable using conventional approaches. Unfortunately, prostate cancer has largely proven refractory to these powerful approaches thus far and requires novel mono- or combinatorial treatment strategies to unleash the full potential of the immune system and generate personalized anti-tumor responses with the capability of producing long-term durable responses or even cures in these men.