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Durham University

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Dr Craig Manning

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Postdoctoral Research Associate in the Department of Biosciences

Contact Dr Craig Manning

Skin ageing and in silco model

For most of 2018 I worked in the lab of Prof Stefan Przyborski. I was part of a project which is building an in silco model of signalling pathways involved in structure and function of skin. The model predictions are being validated against the biology. The model will be used to identify novel targets for application to skin health care.


set squared logo

I work in the group of David Weinkove looking at nematode/bacteria interactions. I was recently awarded funding from ICURe, an Innovation-to-Commercialisation programme, piloted by SETsquared and funded by HEFCE and Innovate UK.

This funding will allow me to find out about how people outside my lab, both in academia and industry, use C.elegans and what questions they want to ask. With this information we will hopefuly be able to gauge how we could make our imaging rig an attractive solution. 

The Healthspan Machine: an automated method to screen for interventions that slow ageing.

BBSRC logo

The heterogeneity of ageing even in genetically identical C. elegans populations means studies require large numbers, particularly when interventions have small effect. The hours of labour required to achieve these numbers can become a limiting factor to the rate of information gathering.

We are developing a Health-span machine, an automated nematode image capture rig which we use to gather information about changes in worm movement during aging and use this as a proxy for health. We use a single camera per plate and specific software to detect and quantify movement and decline in movement over a period of 7-10 days.

This work is funded by BBSRC, it has won a prize at the Durham Biosciences research away day poster competiton and was presented at the GENiE high content screening workshop in Porto.

BSI Pump priming: High throughput quantitative biology of ageing

BSI logo

The project aim was to replicate "The Lifespan Machine" designed by Walter Fontana’s group (Harvard). This system uses high resolution flatbed scanners that have been modified to image several plates of the nematode worm, C. elegans, twice an hour across several weeks (Stroustrup et al. Nature Methods 2013: 10, p665). This system has produced excellent data, however the we were interested in the health of the worms as well as lifespan.

By reproducing the system we were able to see the current state of the art and the power of this tool to address current questions. The insight gained has become a springboard to a Biology:Physics collaboration to facilitate a high throughput quantitative biology of ageing project using of-the-shelf-imaging technology. We hope our imaging rig will facilitate the gathering usefully large datasets and will be of value to the rest of the community.

Research Groups

Department of Physics

Research Interests

  • 3D skin models
  • Ageing
  • Bio-printing and fabrication
  • Laboratory automation


Journal Article