With recent resource and technology development, biology has entered a new data-driven phase in the 21st century. The research interests of this lab are computational genetics and systems biology, focusing on algorithm development, data integration, and software implementation. With the advent of new DNA sequencing technologies, it is a particularly challenging and exciting time now to do such computational work, as more and more biological data are being generated at an ever-accelerating speed.
Research projects, active
|In reverse chronological order|
» Genetic variant-based drug discovery targeting conserved pathways of aging
Aging is an important risk factor for most common human diseases. In this multi-component project, we will test a new approach for developing therapies for these diseases. Rather than focusing on individual diseases, we explore genetic differences between successfully aged, healthy centenarians and control individuals with no family history of extreme longevity.
This research project is supported by a grant from NIH/NIA.
» Complex biology of resilience to Alzheimer’s disease risk
Centenarians are a population enriched with AD resilience, as many maintain normal cognition throughout their lifespan or significantly delay the onset of cognitive decline, despite chronological age being the major risk factor for dementia. In this comprehensive, cross-disciplinary study, we aim at building predictive molecular models of cognitive resilience based on genetic and high-dimensional molecular data collected in centenarians.
This research project is supported by a grant from NIH/NIA.
» Systems biology of organismal aging
Aging is a fundamental biological process accompanied by a general decline in tissue function and increased risk for many diseases. Instead of a passive, entropic process of deterioration, it is subject to active regulation by signaling pathways and transcription factors. In this project, using C. elegans as the model organism, we will develop innovative systems and computational biology approaches to construct regulatory networks of aging and identify emergent properties about the molecular mechanisms of aging.
This research project is supported by a grant from the Irma T. Hirschl Trust.
» Human non-coding variants
People’s genomes differ at tens of millions of sites, and interpreting how this variation affects phenotypes and disease risk is extremely challenging. Most disease-associated variants lie outside of protein-coding regions. We are developing highly innovative computational approaches to determine which non-coding variants contribute to differences in organismal phenotypes and disease risk.
This research project is supported by a grant from NIH/NHGRI.
» Comparative genomes of longevity
Mammalian species differ dramatically in their aging rates, but mechanisms responsible for these differences are unknown. This program project will identify mechanisms responsible for more efficient DNA repair and higher cancer resistance in long-lived rodents. This knowledge will enable the development of interventions to extend the human lifespan and delay the onset of age-related diseases.
This research program project is supported by a grant from NIH/NIA.
» Brain and behavior in 22q11.2 deletion syndrome
The International Consortium on Brain and Behavior in 22q11.2DS is a collaborative R01 of 22 institutions, with one genomic and four phenotyping leading sites. The collaboration combines genomic with neuropsychiatric and neurobehavioral paradigms to advance the understanding of the pathogenesis of schizophrenia and related phenotypes. The project as a whole will be an unprecedented international initiative to examine a common deletion associated with schizophrenia and elucidate its genomic and behavioral substrates. Beyond the potential for yielding a better understanding of a severe manifestation of 22q11.2DS, the results will help identify pathways leading to schizophrenia in the general population in a way that will inform novel treatments.
This research project is supported by a grant from NIH/NIMH.
Research projects, completed
» Congenital heart defects of 22q11.2 deletion syndrome
About 65% of 22q11.2DS patients have a heart defect such as tetralogy of Fallot – a form of conotruncal heart defects (CTDs) – and 35% have a normal heart. It is not clear why CTDs only occur in some, not all, of 22q11.2DS patients. Lack of such knowledge is an important problem, because, without it, acquiring the ability for prenatal diagnosis and intervention of CTDs among 22q11.2DS carriers is highly unlikely. Our project is to unravel the genetic basis for this phenotypic heterogeneity. By finding the genetic basis for CTDs in 22q11.2DS individuals, this study may pave the way for prenatal diagnosis and intervention of CTDs among 22q11.2DS carriers.
This research project was supported by a grant from the American Heart Association.
» Systems biology of human aging
For reasons significant to individuals and the society as a whole, human aging is of great interest not only to the academic community but also to medicine and the public in general. However, despite much research progress made over the years, it still remains a poorly understood biological process. To gain novel insights, we use a systems-biology approach to analyze aging-related genes in the context of biological networks.
This research project was supported by a New Scholar Award from the Ellison Medical Foundation.
» Computational analyses of gene regulation: a next-gen sequencing approach
Gene expression in living cells is under strict spatial and temporal control, and its dysregulation is the direct cause of many human diseases. The primary focus of research in my lab is gene expression and its regulation, for which we take an integrated approach to study the following aspects on the whole genome scale:
The biological system currently under investigation is breast cancer metastasis, a complex multi-step process during which tumor cells spread from the primary tumor mass to distant organs. To study the genetic and biochemical determinations of this deadly aspect of cancer progression, we analyze various microarray and sequencing profiles to discover its regulatory sub-networks, DNA binding of key regulators, and copy number variations during the progression.
This research project was supported by a grant from NIH/NLM.