Statistical modelling of in vivo immune response dynamics in zebrafish to multiple stimuli

Lead Research Organisation: University of Bristol
Department Name: Physiology and Pharmacology

Abstract

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Technical Summary

For technical reasons biological processes have in the past predominantly been studied in isolation from each other and often only from a single perspective or on a single spatial but also temporal) scale: e.g. the levels of molecules or cells. For the vast majority of biological, biotechnological and biomedical problems, however, it is easy to recognize that the underlying processes span more than just a single scale. Our research will tackle this fundamental problem and develop zebrafish as a model system to study such intrinsically multi-scale problems.

In the proposed research project we will apply an integrated experimental-theoretical framework to study fundamental processes related to immune signalling in zebrafish. In particular we propose to develop novel statistical and computational analysis suitable for multi-scale problems where cellular decision making processes affect the organism-wide dynamics. This type of problem is exemplified by immune response signalling processes; here we will study these using a combination of experimental and theoretical approaches and study how wounding and cancer in zebrafish embryos affect cells of the innate immune response system. We will characterize the response to single stimuli as well as combinations of stimuli (two wounds and wound+cancer) and develop and probe mechanistic models for immune response dynamics. We will then use small molecule inhibitors to block key-kinases believed to modulate immune cell behaviour to study the phenotypic effects of such molecular interventions at the whole-organism level.

Planned Impact

Multi-scale problems are all-pervasive in biology and especially in biomedical research. The biggest immediate and mid-term impact of this research is the development of an integrative framework for the quantitative analysis of in vivo systems. There is tremendous scope for applying such tools in fundamental and applied biological and biomedical research. Zebrafish are also a natural model organism to study biological processes of relevance aquaculture and commercial fish-breeding.

Other application areas include:
pharmacology and in vivo drug screening
tissue engineering and stem cell biology
regenerative medicine

To maximize short-term impact we will release software in a suitable licensing framework that will allow easy and free access to academic stake-holders. The commercial scope for such software will be explored with the Imperial College Technology Transfer office.

In the medium term we will also discuss the application of the immunological findings of our research with fisheries researchers and stakeholders in the aquaculture and food industries. Understanding how the immune system in wish works will have implications for drug treatment and other disease prevention schemes in this sector. We already have good working relationships with the Food Standards Agency and the Foundation for Science and Technology; both of these organizations offer idea fora to engage with commercial stake-holders.

In addition we will address the distinct lack of individuals trained and conversant in both computational and laboratory techniques. The need for such individuals in academia and industry is likely to increase. But a suitable trained individual will be able to lead innovative new research programmes and it is one of our essential aims to aid the RAs to become recognized researchers at the wet/dry interface of systems biology. We believe that the named RA has great potential to become a future research leader and the proposed research project will form an important milestone in her career progression.
 
Description We are in the process of modelling the inflammatory response to wounds versus cancer
Exploitation Route will help in development of strategies for blocking cancer spread after surgery
Sectors Healthcare

URL http://embryowound.info