Research area description outlining the basics of biomedical informatics research.
Labs In This Area
Analyzing high–throughput genomic data in the context of biological networks
I am a computational biologist with an interest in the development of methods for integrative, systems-level analysis of high-dimensional genomic and proteomic data. These methods incorporate bioinformatic information with experimental data to characterize the networks of interactions that lead to the emergence of complex phenotypes, particularly cancers.
For more information, visit the faculty profile of Rosemary Braun, PhD, MPH.
See Dr. Braun's publications in PubMed.
Studying molecular motors and cell motility
Movement is a fundamental characteristic of life. Cell movement is critical for normal embryogenesis, tissue formation, wound healing and defense against infection. It is also an important factor in diseases such as cancer metastasis and birth defects. Movement of components within cells is necessary for mitosis, hormone secretion, phagocytosis and endocytosis. Molecular motors that move along microfilaments (myosin) and microtubules (dynein) power these movements. Our goal is to understand how these motors produce movement and are regulated. We wish to define their involvement in intracellular, cellular, and tissue function and disease—with the long-term goal of developing therapies for the treatment of diseases caused by defects in these molecular motors.
Our work involves the manipulation of myosin and dynein function in the single celled eukaryote Dictyostelium, cultured mammalian cells and transgenic and knockout mice. Yeast two-hybrid screens to identify proteins that interact with or regulate myosin and dynein and characterization of gene expression are being used to define the pathways regulating myosin and dynein. To analyze the biological significance of myosin and dynein, we use confocal and digital microscopy of living cells, analysis of cell movement, vesicle transport and cell division. We employ biochemical techniques including heterologous expression, enzyme purification and characterization, and analysis of how phosphorylation state affects physiological function. We are pursuing signal transduction studies to understand the physiologically important pathways that regulate cell motility and biophysical studies such as in vitro motility assays to understand how these molecular motors function at the molecular level.
See Dr. Chisholm's publications on PubMed.
Contact Dr. Chisholm at 312-503-3209.
Translational Bioinformatics and Cancer Genomics
Research in our lab focuses on developing informatics solutions to solve problems in biology and medicine. Current projects are focused on two closely related areas: (A) mammalian gene regulation at isoform-level, and (B) isoform-level transcriptional networks in brain development and brain tumors. The overarching goal of his lab is to translate Big Data from multiple high dimensional (-omic) platforms (e.g., NextGen sequencing) to derive experimentally interpretable and testable discovery models towards genomics-based clinical decision support systems for personalized cancer therapy. Our group is developing bioassays that can rapidly identify biomarkers from human tissue and blood samples. Towards these goals, our group applies state-of-the-art statistically rigorous data-mining methods and NextGen sequencing based experimental procedures in a systems biology setting.
Our research program is interdisciplinary in nature with a complement of experimental investigation. The current projects of our laboratory are:
- Informatics platform for mammalian gene regulation at isoform-level
- Isoform-level transcriptional networks in brain development and brain tumors
- Molecular classification of cancers
Coupled with advances in high throughput technologies, our computational modeling work seeks to address key outstanding issues in mammalian genomics and cancer. We currently maintain online databases (e.g., MPromDb – Mammalian Promoter Database), programs for NextGen sequence analysis (e.g., IsoformEx, Isoform level gene expression estimation from RNA-seq data; TPD – Modeling Transcription Factor Binding Site Profiles from ChIP-Seq Data; NPEBseq: Differential Expression analysis based on RNA-seq data; and Data-mining methods for molecular stratification of cancers (e.g., PIGExClass – Platform-independent Isoform-level Expression based classification-system).
For more information, visit the faculty profile of Ramana Davuluri, PhD.
See Dr. Davuluri's publications in PubMed.
Research Assistant Professors:
Yingtao Bai; Hong-Jian Jin
Segun Jung; Majoh Kandpal
Health care outcome assessments
Dr. Gershon is a leading expert in the application of Item Response Theory (IRT) in individualized and large scale assessments. He has developed item banks and Computerized Adaptive Testing (CAT) for educational, clinical, and health applications - including cognitive, emotional, and motor applications. He is currently principal investigator on these projects with the NIH: NIH Toolbox for the Assessment of Neurological Function and Behavior, the NIH Roadmap Patient – Reporting Outcomes Measurement Information System (PROMIS) Technical Center, the National Institutes on Aging Genetic Norming project, and the National Children's Study: Vanguard Study(South ROC). He is also co-investigator and measurement development expert on numerous smaller projects including the NINDS sponsored project “Quality of Life Outcomes in Neurological Disorders” (Neuro-QOL), and the cancer-specific supplement to PROMIS.
For more information visit the faculty profile of Rich Gershon, PhD.
See Dr. Gershon's publications in PubMed.
Environmental, genetic and epigenetic risk factors for disease
Dr. Hou’s research interest lies in integrating traditional epidemiologic methods with the ever-advancing molecular techniques in multi-disciplinary research focusing on identifying key molecular markers and understanding their potential impact on disease etiology, detection, and prevention.
Dr. Hou’s major research efforts to date have focused on two areas: 1) identification of risk factors that may cause chronic diseases; and 2) identification of biomarkers that serve as indicators of an individual’s past exposure to disease risk factors and/or predict future disease risks and/or prognosis. The environmental/lifestyle risk factors that Dr. Hou has studied include air pollution, pesticides, overweight, physical inactivity, and reproductive factors in relation to chronic diseases. The biomarkers that Dr. Hou has investigated include genetic factors (i.e., polymorphisms, telomere length shortening, mitochondria DNA copy number variations) and epigenetic factors (i.e., DNA methylation, histone modifications, and microRNA profiling). Her over-arching research goal is to understand the biological mechanisms linking environmental risk factors with subclinical or clinical disease development to ultimately lead to development of effective strategies for prevention of chronic diseases.
In addition to being a PI of several NIH funded grants, Dr. Hou is the co-director and Co-PI of the Northwestern Consortium for Early Phase Cancer Prevention Trials of the Division of Cancer Prevention (DCP) Consortia, National Cancer Institute.
For more information visit the faculty profile of Lifang Hou, MD, PhD.
See Dr. Hou's publications in PubMed.
Cardiovascular disease epidemiology, risk estimation, and prevention
Dr. Lloyd-Jones’ research interests lie in cardiovascular disease epidemiology, risk estimation, and prevention. A main focus of his research has been investigation of the lifetime risks for various cardiovascular diseases, and factors that modify those risks. Other areas of interest include cardiovascular disease risk estimation using novel biomarkers, imaging of subclinical atherosclerosis, and the epidemiology of hypertension. His clinical and teaching interests lie in general cardiology with a focus on prevention.
For more information, visit the faculty profile of Donald Lloyd-Jones, MD, ScM.
Design, developing, evaluating, and implementing technology-assisted behavioral and psychological interventions.
David C. Mohr, PhD, is the Director of the Northwestern University Center for Behavioral Intervention Technologies (CBITs). Dr. Mohr’s expertise is in the design, development, evaluation, and implementation of technology-assisted behavioral and psychological interventions. These technologies use mobile phones, tablets, computers, and sensors to support patient behaviors related to health, mental health, and wellness. In the area of development, Dr. Mohr’s primary expertise is in designing applications that can be deployed to phones and desktop computers aimed at treating mental health disorders. While many of these have been relatively standard applications, he is also developing methods of harnessing sensor data from the phone to identify user states that are relevant to the treatment of depression. A second area of development focuses on developing applications aimed at improving adherence to medications and medical regimens. These applications are being deployed in General Internal Medicine, Community Health Centers, and Psychiatry. Finally, Dr. Mohr examines methods of implementing behavioral intervention technologies in the healthcare settings. In general, behavioral intervention technologies are not effective in improving symptoms when delivered as standalone treatments. Dr. Mohr has developed and evaluated methods of providing low intensity coaching support to enhance the use and effectiveness of behavioral intervention technologies. These coaching models can use health professionals, lay people, and peers.
For more information visit the faculty profile of David Mohr, PhD.
See Dr. Mohr's publications in PubMed.
Dr. Silverberg specializes in dermatoepidemiology with a focus on comorbidities and quality of life. His research interests include the patient- and population-based burden of inflammatory skin disease, particularly atopic dermatitis (eczema), contact dermatitis and photosensitive disorders.
1 - identify novel modifiable risk factors for inflammatory skin diseases and develop clinical and epidemiological interventions to prevent these disorders throughout the US population. This includes improving the understanding of the genetics and gene-environment interactions in adult atopic dermatitis.
2 - develop improved assessments for patients with chronic itch that can help us understand how best to reduce the itch, which is so life altering for patients.
3 - work toward improving the understanding of the direct and indirect burden of inflammatory skin diseases, including their relationship with other health conditions, such as cardiovascular disease.
In 2014, Dr. Silverberg founded Northwestern Medicine’s Multidisciplinary Eczema Center, and as its director, he has been able to advance research and test cutting-edge therapeutic approaches.
See Dr. Silverberg's publications on PubMed.
Email Dr. SIlverberg
Behavioral risk ractors
My laboratory conducts research on behavioral risk factors (obesity, poor quality diet, physical inactivity, tobacco use). We also develop cutting-edge technologies that support self-regulation and healthy behavior change. Finally, we create on-line learning tools to support skill mastery in evidence-based practice and team science.
View Dr. Spring's publications at PubMed
Health care computing
My current research focuses on new ways to make health care computing more useful. This includes developing intuitive, novel Human Computer Interfaces (HCI) for health care, including working on the design of graphical icons for clinical applications, addressing data overload for clinicians and issues in affective computing. A related line of research is developing methods for the integration of clinic research computing into clinical care.
View Dr. Starren's publications at PubMed
Genetics and epigenetics of complex traits including risks for common diseases and drug response
For more information, visit Dr. Zhang's Faculty Profile page.