Development of a high-throughput quantitative immunofluorescence method and stochastic modeling of signalling networks
Lead Research Organisation:
Imperial College London
Department Name: Life Sciences
Abstract
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Organisations
People |
ORCID iD |
Michael Stumpf (Principal Investigator) |
Publications
Liepe J
(2014)
A framework for parameter estimation and model selection from experimental data in systems biology using approximate Bayesian computation.
in Nature protocols
Ale A
(2013)
A general moment expansion method for stochastic kinetic models.
in The Journal of chemical physics
Harrington HA
(2013)
Cellular compartments cause multistability and allow cells to process more information.
in Biophysical journal
Komorowski M
(2013)
Decomposing noise in biochemical signaling systems highlights the role of protein degradation.
in Biophysical journal
Toni T
(2012)
Elucidating the in vivo phosphorylation dynamics of the ERK MAP kinase using quantitative proteomics data and Bayesian model selection.
in Molecular bioSystems
Mc Mahon SS
(2014)
Information theory and signal transduction systems: from molecular information processing to network inference.
in Seminars in cell & developmental biology
Liepe J
(2013)
Maximizing the information content of experiments in systems biology.
in PLoS computational biology
Silk D
(2014)
Model selection in systems biology depends on experimental design.
in PLoS computational biology
Lakatos E
(2015)
Multivariate moment closure techniques for stochastic kinetic models.
in The Journal of chemical physics
Michailovici I
(2014)
Nuclear to cytoplasmic shuttling of ERK promotes differentiation of muscle stem/progenitor cells.
in Development (Cambridge, England)
Description | We are now able to understand how signals flow through eukaryotic cells much better. |
Exploitation Route | We have received an HFSP grant and several fellowships which continue the collaboration with Japan. |
Sectors | Agriculture, Food and Drink,Healthcare,Pharmaceuticals and Medical Biotechnology |
Description | This has been a phenomenal research training opportunity and allowed most members of my group to spend some time in a leading international systems biology experimental group. We have also gained much better understanding of how signalling across MAPK works. |
First Year Of Impact | 2011 |
Sector | Agriculture, Food and Drink,Digital/Communication/Information Technologies (including Software),Education,Healthcare,Pharmaceuticals and Medical Biotechnology |
Impact Types | Cultural,Economic,Policy & public services |
Description | HFSP |
Amount | $1,200,000 (USD) |
Organisation | Human Frontier Science Program (HFSP) |
Sector | Charity/Non Profit |
Country | France |
Start | 01/2012 |
End | 02/2015 |
Title | InformationMeasures.jl |
Description | A Julia package to infer gene regulatory networks using information theoretical approaches. |
Type Of Technology | Software |
Year Produced | 2016 |
Impact | This is a very fast (up to 500 times faster than current R packages) and accurate means of applying bi- and multi-variate information theoretical measures. |
URL | https://github.com/Tchanders/InformationMeasures.jl |