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SynBioBrain SIGNED

Building biological computers from bacterial populations

Total Cost €

0

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.

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

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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The information about "SYNBIOBRAIN" are provided by the European Opendata Portal: CORDIS opendata.

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