Author: Philip Fowler

This has been a long time coming but last month, the Ellison Institute of Technology launched EIT Pathogena. This is a website where anyone anywhere in the world can work out what species of Mycobacteria are in a sample and, if it is Mycobacterium tuberculosis, which, as the name suggests, is the causative agent of tuberculosis, also work out which antibiotics are likely to be effective. Lastly it also tells you if the genome of that sample is sufficiently similar to any other samples you’ve uploaded that they could be part of the same outbreak.

So how does it do this? Well you have to have put your Mycobacterial sample through a genetic sequencing machine — this gives you two output files (called FASTQ files) which contain lots of short stretches of DNA found in the sample which will have come from the patient, other bacteria, the odd virus and probably some Mycobacteria. Historically sifting through these files and working out what is what and then seeing if you can build a genome from some of the short stretches (a bit like a really big jigsaw, just one where the pieces overlap and some have mistakes) is the job of a Bioinformatician and is difficult.

EIT Pathogena makes that simple; all you have to do is drag and drop the FASTQ files onto the web portal and it will upload them, then automatically remove and forget any bits of human DNA (as these could be used to identify the patient in theory) before working out what species are present etc.

We have written all the computer code that handles all the short stretches of DNA. Much of the software used to predict which antibiotic is likely to work was originally written as part of our earlier CRyPTIC project but has been rewritten by our Research Software Engineers (RSE) to bring it inline with modern software engineering practices.

If you like looking at code, head over to GitHub and check out gnomonicus which in turn uses gumpy and piezo. All of these are written in Python3 — Jeremy Westhead who is one of our RSEs noticed that we could speed up this part of the pipeline significantly by rewriting gumpy in Rust. He called this new version grumpy of course! All of this software has a license allowing anyone to use it for research but prohibits using it for commercial purposes.

When we test a sample taken from a patient to see which antibiotics will work (and which will not) we test many thousands of bacteria all at once; if the antibiotic kills most of them we say it is susceptible. But in some cases that isn’t good enough: the few that are left (because they are resistant) can grow and multiply so all you’ve done is buy a little time.

What if instead you could look at the effects of an antibiotic on a single bacterium?

That, in essence, is what the interdisciplinary team drawn from both the Department of Physics and the John Radcliffe hospital in Oxford did with this project. Using fluorescent staining and super-resolution microscopy they can image individual bacteria and ones which are resistant to an antibiotic “look different”, providing you’ve stained the right parts of the bug.

Humans, of course, are really good at looking at photographs and so they also set up a Citizen Science project on the Zooniverse called, you guessed it, Infection Inspection. They asked volunteers to classify of E. coli which had been fluorescently stained and then treated with an antibiotic as either resistant or susceptible.

If you want to read more about this please go and read their paper.

The annual Oxford Biomedical Research Centre (BRC) Open Day was held on Thursday 30 May 2024 in the Westgate Shopping Centre in Oxford; this year is was jointly held with the Oxford Health BRC.

It was half-term for schools in Oxfordshire so lots of children, parents and grandparents were in town. The Dance Mat, demonstrating how mutations always creep in when you try an copy something, was very popular as always! We had a pipetting game where you could try out pipetting into a 96-well plate (with giant couscous) as well as an investigation with clues and a public poll on how antibiotics should be improved.

We’d designed and ordered some squishy antibiotics and some (much cuter) green Mycobacterium tuberculosis bacteria and managed to hand out over 90 to interested people over the course of the day.