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V: Computational and Mathematical Modelling

V: Computational and Mathematical Modelling AAMBR 2010 abstracts 73 PLENARY LECTURE Mathematical Modelling of Eukaryotic Stress-response Networks J.R. King* E-mail: john.king@nottingham.ac.uk School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK Some of the mathematical-modelling issues that arise in describing gene-regulatory networks will be outlined. Specific applications to the systems biology of stress responses will be high- lighted. INVITED LECTURES Identifying the Genetic Regulatory Networks Underlying the Stress Response in Caenorhabditis elegans M. Loose,* D. Rajagopalan and P. Madhamshettiwar E-mail: matt.loose@nottingham.ac.uk Institute of Genetics, School of Biology, University of Nottingham, University Park, Nottingham NG7 2RD, UK As part of a larger project, we have sought to identify the genetic regulatory network (GRN) underlying stress responses in C. elegans, in order to provide a template for mathematical modelling and the integration of laboratory results. We have used several different approaches, including bottom-up network curation and scanning for conserved regulatory ele- ments, to identify interactions between key molecules in the stress response network, which will be discussed. We present some of our findings, which suggest that transcriptional net- works may not play a key role in regulating the stress response. We will consider some of the benefits of understanding GRN topology, and consider how evolutionary http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Alternatives to Laboratory Animals SAGE

V: Computational and Mathematical Modelling

Alternatives to Laboratory Animals , Volume 39 (1): 3 – Mar 1, 2011
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Publisher
SAGE
Copyright
© 2011 Fund for the Replacement of Animals in Medical Experiments
ISSN
0261-1929
eISSN
2632-3559
DOI
10.1177/026119291103900107
Publisher site
See Article on Publisher Site

Abstract

AAMBR 2010 abstracts 73 PLENARY LECTURE Mathematical Modelling of Eukaryotic Stress-response Networks J.R. King* E-mail: john.king@nottingham.ac.uk School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK Some of the mathematical-modelling issues that arise in describing gene-regulatory networks will be outlined. Specific applications to the systems biology of stress responses will be high- lighted. INVITED LECTURES Identifying the Genetic Regulatory Networks Underlying the Stress Response in Caenorhabditis elegans M. Loose,* D. Rajagopalan and P. Madhamshettiwar E-mail: matt.loose@nottingham.ac.uk Institute of Genetics, School of Biology, University of Nottingham, University Park, Nottingham NG7 2RD, UK As part of a larger project, we have sought to identify the genetic regulatory network (GRN) underlying stress responses in C. elegans, in order to provide a template for mathematical modelling and the integration of laboratory results. We have used several different approaches, including bottom-up network curation and scanning for conserved regulatory ele- ments, to identify interactions between key molecules in the stress response network, which will be discussed. We present some of our findings, which suggest that transcriptional net- works may not play a key role in regulating the stress response. We will consider some of the benefits of understanding GRN topology, and consider how evolutionary

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Alternatives to Laboratory Animals – SAGE

Published: Mar 1, 2011

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