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NanoProt-ID SIGNED

Proteome profiling using plasmonic nanopore sensors

Total Cost €

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EC-Contrib. €

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Partnership

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 NanoProt-ID project word cloud

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

speed    optical    fluorophores    identification    proteins    proteomes    cysteine    respectively    appear    ratio    fabrication    solid    instead    cells    chain    regulating    time    breakthrough    devising    hypothesize    antibody    threading    sense    machine    fingerprints    precision    resolution    cell    date    one    noise    attaining    platform    nanoprot    proteomic    human    acids    transform    necessitating    amplifiers    minutes    obtain    residues    metastatic    trace    proteomics    id    rely    fluorescence    biological    constitutes    individual    biology    first    99    nanopores    vitro    representing    amino    uniquely    blood    molecule    secreted    signal    free    color    obscuring    custom    learning    averaging    proteome    feasibility    bioinformatics    thousands    sensing    details    classifier    translocation    single    equipped    labelling    post    biomedicine    directions    plasmonic    vast    methionine    gt    cancer    protein    opening    lysine    technologies    reached   

Project "NanoProt-ID" data sheet

The following table provides information about the project.

Coordinator
TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY 

Organization address
address: SENATE BUILDING TECHNION CITY
city: HAIFA
postcode: 32000
website: www.technion.ac.il

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 Israel [IL]
 Total cost 2˙498˙869 €
 EC max contribution 2˙498˙869 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-ADG
 Funding Scheme ERC-ADG
 Starting year 2019
 Duration (year-month-day) from 2019-08-01   to  2024-07-31

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    TECHNION - ISRAEL INSTITUTE OF TECHNOLOGY IL (HAIFA) coordinator 2˙498˙869.00

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 Project objective

To date, antibody-free protein identification methods have not reached single-molecule precision. Instead, they rely on averaging from many cells, obscuring the details of important biological processes. The ability to identify each individual protein from within a single cell would transform proteomics research and biomedicine. However, single protein identification (ID) presents a major challenge, necessitating a breakthrough in single-molecule sensing technologies.

We propose to develop a method for proteome-level analysis, with single protein resolution. Bioinformatics studies show that >99% of human proteins can be uniquely identified by the order in which only three amino-acids, Lysine, Cysteine, and Methionine (K, C and M, respectively), appear along the proteins’ chain. By specifically labelling K, C and M residues with three distinct fluorophores, and threading them, one by one, through solid-state nanopores equipped with custom plasmonic amplifiers, we hypothesize that we can obtain multi-color fluorescence time-trace fingerprints uniquely representing most proteins in the human proteome. The feasibility of our method will be established by attaining 4 main aims: i) in vitro K,C,M protein labelling, ii) development of a machine learning classifier to uniquely ID proteins based on their optical fingerprints, iii) fabrication of state-of-the-art plasmonic nanopores for high-resolution optical sensing of proteins, and iv) devising methods for regulating the translocation speed to enhance the signal to noise ratio. Next, we will scale up our platform to enable the analysis of thousands of different proteins in minutes, and apply it to sense blood-secreted proteins, as well as whole proteomes in pre- and post-metastatic cancer cells. NanoProt-ID constitutes the first and most challenging step towards the proteomic analysis of individual cells, opening vast research directions and applications in biomedicine and systems biology.

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