The following are investigators who are involved in Systems Biology research:
Director - Christina Chan
Apply system biology approaches to reconstruct signaling and gene
regulatory pathways to help elucidate disease mechanisms and identify
pharmaceutical targets.
http://www.chems.msu.edu/php/faculty.php?user=krischan
Co-director - Tim Zacharewski
Toxicogenomic analysis of receptor-mediated toxicants and the
elucidation
of mechanisms of toxicity that support the development and safety
assessments of drug candidates and commerce chemicals
http://www.bch.msu.edu/~zacharet
Co-Director - David Arnosti
Our research on the structure of eukaryotic transcriptional regulatory
elements seeks to identify key parameters of a "cis regulatory grammar"
that will be used to build quantitative models of enhancer output, for
use in bioinformatic, evolutionary, and QTL studies.
http://www.bch.msu.edu/faculty/arnosti.htm
James V. Beck
Apply inverse problem techniques to modeling physical phenomena and
estimating parameters/functions in engineering and sciences, including
biological sciences.
http://www.beckeng.com
C. Titus Brown
Developmental gene regulation and gene regulatory network models, large
scale/genomic data integration and analysis.
http://ged.cse.msu.edu
Yuehua Cui
Statistical models and algorithms for complex
traits, QTL and eQTL mapping, gene-gene and gene-environment
interactions, and genomic imprinting; functional mapping for
longitudinal/dynamic traits; microarray and CHIP-chip data analysis
http://www.stt.msu.edu/~cui
R.I. Cukier
Studies of enzyme structure-function relations probed by Molecular
Dynamics and Quantum Chemical based methods.
http://www.cem.msu.edu/~cukier/
Sarat Dass
Develop statistical models and their inference procedures with
application to problems in image analysis and biology.
http://www.stt.msu.edu/~sdass
Erik Goodman
Develop evolutionary computation approaches to address data mining
and pattern classification issues in bioinformatics and
product/process design.
http://garage.cse.msu.edu
Syed Hashsham
Parallel detection tools, environmental genomics, and modeling of
molecular data
http://www.egr.msu.edu/~hashsham/
Robert P. Hausinger
Applications of systems biology related to microbial physiology
involving
transition metal utilization.
http://www.bch.msu.edu/faculty/hausinger.htm
Marianne Huebner
Statistical issues in genetics; microarrays; complex traits; biological
networks. Mathematical ecology.
http://www.stt.msu.edu/%7Ehuebner/
Rong Jin
Develop efficient and robust machine learning algorithms for large datasets
with application to information retrieval, multimedia data analysis, and gene
regulatory network reconstruction.
http://www.cse.msu.edu/~rongjin
A. Daniel Jones
Development and application of mass
spectrometry approaches for metabolite profiling and
metabolomic analysis in the study of disease and environmental
stress.
http://www.bch.msu.edu/faculty/jones.html
Ken Keegstra
Chloroplast protein targeting; systems approaches to
biosynthesis of cell wall polysaccharides and biomass accumulation.
http://www.plantbiology.msu.edu/keegstra.shtml
Leslie Kuhn
Modeling protein flexibility and interactions with ligands; optimizing
protein and inhibitor modeling and design.
http://www.bch.msu.edu/labs/kuhn/
Robert Last
Functional genomics approaches to attain a systems biology
understanding of chloroplast function.
http://www.bmb.msu.edu/faculty/last.html
Richard Lenski
Using systems biology approaches to analyze and integrate data on
phenotypic
and genomic changes during evolution experiments with bacteria and digital
organisms
http://www.msu.edu/~lenski/
Jeff MacKeigan
The primary focus of the Systems Biology laboratory is aimed at identifying and understanding
the genes and signaling pathways that control cell survival, specifically those that when mutated
contribute to the pathophysiology of cancer. Our laboratory takes advantage of RNA interference (RNAi)
and novel proteomic approaches to identify the kinases and phosphatases in the genome that control cell
growth, cell proliferation, and cell survival. For example, after screening over 600 kinases and 200
phosphatases encoded by the human genome (called the ÒkinomeÓ and ÒphosphatomeÓ) that cooperate with
chemotherapeutic sensitization in control of apoptosis, we identified 73 kinases (11%) and 72 phosphatases
(32%) whose role in cell survival was previously unrecognized. These studies led to several unanswered
questions. How are these novel survival kinases and phosphatases regulated at the molecular level? What
signaling pathway(s) do they regulate? Does incubation of these genes inhibit waves of compensatory
changes at the cellular level (system level changes)? What are the system level changes after reduction
or loss of each gene?
http://www.vai.org/Research/Labs/SystemsBiology.aspx
Terence L. Marsh
Application of genomic approaches in the analysis of microbial
community
and population structure as well as the interaction of microbes with
metals.
http://mmg.msu.edu/114.html
Charles Ofria
Applying computational evolving systems as a tool to study the
formation of phylogenies and the evolution of biocomplexity.
http://www.cse.msu.edu/~ofria/
John Ohlrogge
The lab uses biochemistry, genetics and modeling to
understand lipid and fatty acid biosynthesis, metabolic engineering,
genomics, regulation of metabolism, seed oil accumulation.
http://www.plantbiology.msu.edu/ohlrogge.shtml
Karim Oweiss, Ph.D.
Apply advanced signal and information processing techniques for data
mining and pattern analysis to decode gene expressions and identify
signaling correlations among functionally interdependent genomic
networks.
http://www.egr.msu.edu/nsel
Bob Roth
Understanding occurrence and mechanisms of
drug-inflammation interactions as they relate to hepatotoxic drug
reactions, especially drug idiosyncrasy.
http://cit.msu.edu/Faculty/roth.html
Thomas Schmidt
Research uses approaches of systems biology to understand distribution
of
microbial populations in nature, and to reveal the ecological
strategies of
microbes.
http://mmg.msu.edu/schmidt.html
Yair Shachar-Hill
Laboratory and mathematical approaches to
understanding
the arbuscular mycorrhizal symbiosis, non-photosynthetic one carbon
metabolism, metabolic engineering.
http://www.plantbiology.msu.edu/shachar-hill.shtml
Alexander Shingleton
Department of Zoology
http://www.msu.edu/~shingle9
Shin-Han Shiu
We examine genome sequences and functional genomics data the evolution
of duplicated genes and regulatory networks in eukaryotes.
http://shiulab.plantbiology.msu.edu
Mike Thomashow
Our research is directed at determining the nature and interactions of
regulatory networks that contribute to plant cold and drought tolerance
in Arabidopsis and agronomic crop species.
https://www.msu.edu/~mftlab/
Jim Tiedje
The research theme of Dr. Tiedje' laboratory is to understand the
ecology,
physiology and biochemistry of microbial processes important in nature
and
of value to industry.
http://cme.msu.edu/tiedjelab/index.shtml
Eric Torng
Design and analysis of algorithms.
http://www.cse.msu.edu/~torng/
Lalita Upda
Application of system identification and pattern analysis algorithms
for
modeling gene expression data in terms of signalling pathways and
cellular
response to environmental factors.
http://www.egr.msu.edu/ndel/members/current/udpa_l
S. Patrick Walton
Expertise in biomolecular engineering for nucleic acid
applications;
Developing novel high-throughput platforms for cellular analysis;
Studying the mechanistic details of and optimizing siRNA activity
and specificity
http://www.egr.msu.edu/~spwalton/
R. Mark Worden
Application of systems biology approaches to optimize expression of
recombinant proteins in computer-controlled bioreactors.
http://www.biomimetic.org
Neil Wright
Parameter estimation in heat transfer, thermodynamics, and kinetics as
applied to biological materials and systems.
http://www.egr.msu.edu/me/?q=faculty/faculty&action=showperson&personid=424&departmentid=8
Vincent B. Young MD/PhD
Molecular pathogenesis and microbial ecology of gastrointestinal
infectious diseases.
http://sitemaker.umich.edu/younglab/home
Department of Epidemiology
http://www.epi.msu.edu
