Wilmer生物信息学主要研究眼部信息学. 具体地说, the group develops and applies 生物信息学 approaches to study gene regulation and signaling networks, 对哺乳动物的视网膜有特别的但不是唯一的关注. Understanding the molecular basis of tissue specific gene regulation and signaling will contribute to better prevention, 视网膜疾病的诊断和治疗.

The 活体细胞与分子成像中心 conducts multidisciplinary research on cellular and molecular imaging related to 癌症. 我们提供资源, such as consultation on 生物统计学 and 生物信息学 and 光学成像 and 探测的发展, 了解并有效治疗癌症. 我们的分子肿瘤学专家为临床前研究提供咨询, 人体组织的使用, interpretation of data and 细胞的分子特性 and tumor tissue.

The 汤姆·伍尔夫实验室 studies the quarter of the genome devoted to membrane proteins. 这是生物信息学快速发展的分支, 其中包括计算生物物理学, 代表了我们小组的主要研究方向. 我们的目标是为膜系统的关键问题提供见解. 为了实现这些目标, we use extensive computer calculations to build an understanding of the relations between microscopic motions and the world of experimental measurements. Our calculations use our own Beowulf computer cluster as well as national supercomputer centers. An especially strong focus has been on the computed motions of proteins and all-atom models of the lipid bilayers that mediate their influence. To compute these motions, we use the molecular dynamics program CHARMM. We hope to use our understanding of the molecular motions for the prediction of membrane protein structures using new computational methods.

The Systems Biology Lab applies methods of multiscale modeling to problems of 癌症 and 心血管 disease, 并研究血管生成的系统生物学, 乳腺癌和外周动脉疾病(PAD). 使用协调的计算和实验方法, the lab studies the mechanisms of 乳腺癌 tumor growth and metastasis to find ways to inhibit those processes. We use 生物信息学 to discover novel agents that affect 血管生成 and perform in vitro and in vivo experiments to test these predictions. In addition we study protein networks that determine processes of 血管生成, 动脉发生和炎症. The lab also investigates drug repurposing for potential applications as stimulators of therapeutic 血管生成, examines signal transduction pathways and builds 3D models of 血管生成. 该实验室已经发现了一百多种新的抗血管生成肽, and has undertaken in vitro and in vivo studies testing their activity under different conditions. We have investigated structure-activity relationship (SAR) doing point mutations and amino acid substitutions and constructed biomimetic peptides derived from their endogenous progenitors. They have demonstrated the efficacy of selected peptides in mouse models of breast, 肺癌和脑癌, 以及老年性黄斑变性.

Work in the Christopher Chute实验室 involves the management of clinical data to enable effective evidence-based clinical practice and translational research. 最近, we developed an EHR-based genetic testing knowledge base to be integrated into the genetic testing ontology (GTO) and identified potential barriers to 药物基因组学 clinical decision support (CDS) implementation.

研究 in the 凯西·奥弗比实验室 focuses on the intersection of 公共卫生 基因组学 and biomedical informatics. We’re currently developing applications to support the translation of genomic research to clinical and population-based health care settings. We’re also working to develop knowledge-based ways to use big data — including 电子健康记录 — to improve population health.

The GI生物标志物实验室 studies gastrointestinal 癌症 and pre-癌症 生物起源 and 生物标记物. 这个实验室是由博士领导的. 斯蒂芬·迈尔策, who is known for his research in the molecular pathobiology of gastrointestinal malignancy and premalignancy. 实验室的研究已经带来了几个开创性的基因组, epigenomic and bioinformatic studies of esophageal and colonic neoplasms, shifting the gastrointestinal research paradaigm toward genome-wide approaches.

研究 in the 百合实验室 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对齐, 基因和备选剪接注释, 核糖核酸编辑, 微生物比较基因组学, mi核糖核酸基因组学和计算疫苗设计. Our most recent studies seek to achieve accurate and efficient 核糖核酸-seq correction and explore the role of HCV viral mi核糖核酸 in hepatocellular 癌.

The mission the Translational Informatics 研究 and Innovation (TIRI) Lab is to understand and create advanced technology and digital device solutions that address challenges to the translation of 生物医学数据科学-informed guidance into clinical use to improve the health of individuals, 特别是对于那些在研究中经常被低估的人.