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BeadDiagnosis

Prognosis and Diagnosis of Protein Misfolding Diseases by Seeded Aggregation in Microspheres

Total Cost €

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EC-Contrib. €

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Partnership

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Project "BeadDiagnosis" data sheet

The following table provides information about the project.

Coordinator
THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE 

Organization address
address: TRINITY LANE THE OLD SCHOOLS
city: CAMBRIDGE
postcode: CB2 1TN
website: www.cam.ac.uk

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 149˙972 €
 EC max contribution 149˙972 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2014-PoC
 Funding Scheme ERC-POC
 Starting year 2015
 Duration (year-month-day) from 2015-08-01   to  2017-01-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    THE CHANCELLOR MASTERS AND SCHOLARSOF THE UNIVERSITY OF CAMBRIDGE UK (CAMBRIDGE) coordinator 149˙972.00

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 Project objective

There is currently no early detection system for neurological protein misfolding disorders (such as Alzheimer's and Parkinson's diseases) that would satisfy the demands for rapid, quantitative, flexible, and reproducible assays to study amyloidogenesis in biological samples. We will explore the potential of aggregation assays in microdroplets that are formed in microfluidic devices. We have found that the readout of this assay reflects the disease progression, when samples of Drosophila fruit fly brains and mouse brain and serum are analysed. We will use this PoC project explore the utility of this technology to report on aggregation of amyloid precursors in human biological samples, to test whether the potential of this technology extends to patients diagnosis and prognosis. Such data would resolve the question whether our early diagnosis system is immediately useful in a medical context and strengthen the case for venture capital funding.

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

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