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SynBioBrain SIGNED

Building biological computers from bacterial populations

Total Cost €

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EC-Contrib. €

0

Partnership

0

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 SynBioBrain project word cloud

Explore the words cloud of the SynBioBrain project. It provides you a very rough idea of what is the project "SynBioBrain" about.

inflammation    temporal    sensors    construct    transduction    biology    health    biocomputers    biosensors    bioprocess    move    alternative    cellular    hydrogel    architecture    syndrome    processed    compounds    patterning    monitoring    industry    detection    sophisticated    chemical    logic    biomarkers    environmental    computation    samples    indicate    agents    combined    biocomputer    housed    structures    ph    strain    save    multiple    global    counting    synthetic    formed    regular    individual    detector    billions    unnecessary    distinguishes    chain    biological    automata    treatments    engineered    computers    distributed    molecules    detect    read    acids    potentially    dollars    biosensor    care    bacterial    single    populations    device    quorum    living    stool    fashion    engineer    environments    microbiota    disease    proof    digital    dimensional    harmful    channel    medically    home    communicate    sensing    powerful    create    diagnostic    fatty    bacteria    perform    arrangements    replaced    memory    irritable    operations    distinguish    physio    detecting    intestinal    microfluidic    spatial    bowel    whilst    output    inputs    cell    inflammatory   

Project "SynBioBrain" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITY COLLEGE LONDON 

Organization address
address: GOWER STREET
city: LONDON
postcode: WC1E 6BT
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country United Kingdom [UK]
 Total cost 1˙998˙025 €
 EC max contribution 1˙998˙025 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2017-COG
 Funding Scheme ERC-COG
 Starting year 2018
 Duration (year-month-day) from 2018-05-01   to  2023-04-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITY COLLEGE LONDON UK (LONDON) coordinator 1˙998˙025.00

Map

 Project objective

Biosensors detect compounds using a biological component combined with a physio-chemical detector. Using synthetic biology, we can now engineer bacteria into whole-cell biosensors where sensing, transduction and output occur within the living cell. Applications include the detection of harmful environmental agents, bioprocess monitoring, and detecting medically relevant biomarkers. As we move towards more sophisticated applications, single channel read-out will be replaced with sensors that have multiple inputs and more complex information processing capabilities. Whilst digital logic within a single strain of bacteria can be implemented, consortia offer a powerful alternative, where information is integrated and processed in a distributed fashion. This proposal sets out a research project that will construct biological computers formed from engineered bacterial populations that communicate using quorum sensing molecules. Information from multiple biosensor inputs will be integrated and processed by the biocomputer, the output of which will be spatial patterning. The architecture will be based on cellular automata, which can perform any computation, including logic and temporal logic operations, memory and counting, all of which can be used to distinguish states in complex biological and chemical environments. Our biocomputers will be housed in microfluidic devices using hydrogel structures to create two and three dimensional regular arrangements. As a proof-of-concept, we will develop a biocomputer for the analysis and monitoring of intestinal and microbiota health through stool samples. Sensors for inflammation, pH and short chain fatty acids will be combined into a device that can indicate whether an individual has inflammatory bowel disease or irritable bowel syndrome. A low-cost device for use at home, which distinguishes between these conditions, could potentially save the global health care industry billions of dollars in unnecessary diagnostic treatments.

 Publications

year authors and title journal last update
List of publications.
2019 Alex J.H. Fedorec, Tanel Ozdemir, Anjali Doshi, Yan-Kay Ho, Luca Rosa, Jack Rutter, Oscar Velazquez, Vitor B. Pinheiro, Tal Danino, Chris P. Barnes
Two New Plasmid Post-segregational Killing Mechanisms for the Implementation of Synthetic Gene Networks in Escherichia coli
published pages: 323-334, ISSN: 2589-0042, DOI: 10.1016/j.isci.2019.03.019
iScience 14 2019-11-08
2018 Philipp Boeing, Miriam Leon, Darren Nesbeth, Anthony Finkelstein, Chris Barnes
Towards an Aspect-Oriented Design and Modelling Framework for Synthetic Biology
published pages: 167, ISSN: 2227-9717, DOI: 10.3390/pr6090167
Processes 6/9 2019-11-08

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