MASSLIP

Systems Medical Diagnostics by In-vivo Ambient Mass Spectrometric Profiling of Tissue Lipidome

 Coordinatore IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE 

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 Nazionalità Coordinatore United Kingdom [UK]
 Totale costo 1˙997˙663 €
 EC contributo 1˙997˙663 €
 Programma FP7-IDEAS-ERC
Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
 Code Call ERC-2013-CoG
 Funding Scheme ERC-CG
 Anno di inizio 2014
 Periodo (anno-mese-giorno) 2014-06-01   -   2019-05-31

 Partecipanti

# participant  country  role  EC contrib. [€] 
1    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Dr.
Nome: Zoltan
Cognome: Takats
Email: send email
Telefono: +44 20 75942760

UK (LONDON) hostInstitution 1˙997˙663.20
2    IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

 Organization address address: SOUTH KENSINGTON CAMPUS EXHIBITION ROAD
city: LONDON
postcode: SW7 2AZ

contact info
Titolo: Ms.
Nome: Tatjana
Cognome: Palalic
Email: send email
Telefono: +44 20 7594 6265

UK (LONDON) hostInstitution 1˙997˙663.20

Mappa


 Word cloud

Esplora la "nuvola delle parole (Word Cloud) per avere un'idea di massima del progetto.

microflora    characterisation    metabolic    cancer    rapid    endoscopic    ionisation    mucosa    mucosal    identification    chronic    ms    ambient    situ    microbiota    datasets    acute    plan   

 Obiettivo del progetto (Objective)

'The objective of the proposal is the development of ambient mass spectrometric methods for the characterisation of mucosal metabolome and lipidome. While recent advent of ambient MS provided new means for in-situ and imaging analyses and led to the development of real-time, in-vivo MS characterisation of tissues, there are no methods available for minimally invasive testing of mucosal surfaces including the associated microflora. Human mucosa-associated microbiome (with special emphasis on the gastrointestinal microbiota) has been recently demonstrated to play a key role in the pathogenesis of localised (cancer, chronic inflammatory disease) and systemic (hypertension, diabetes, obesity) conditions. While the microbiota interacts with the host mostly via production of a variety of metabolites, currently there is no method available for the in-situ metabolic profiling of mucosa. The envisioned methods will presumably fill this gap, by providing a technique for the diagnosis of a wide range of diseases ranging from acute infections through cancer to dysbiotic conditions of the microflora leading to chronic illnesses. In the current proposal we put forward the development of different ambient ionisation setups utilising Jet Desorption Ionisation, Sonic Spray Ionisation and Rapid Evaporation Ionisation MS covering a broad range of invasiveness. We plan to combine the methods with standard endoscopic tools and develop the concept of ´chemically aware´ or intelligent endoscopic device capable of the unambiguous identification of pathological conditions of the mucosa. Since the metabolic profile-based identification approach requires large authentic datasets, we plan to create both histopathological and bacterial spectral databases with histological and 16SrRNA-based validation. The proposal also comprises the development of novel multivariate statistical analysis workflows and data fusion algorithms allowing rapid and accurate identification using multimodal MS datasets.'

Altri progetti dello stesso programma (FP7-IDEAS-ERC)

CHASM (2013)

Convective Heat Transport and Stellar Magnetism

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MULTISENSORY-MIND (2011)

The multisensory mind: From neural mechanisms to cognition

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GEPIDIAB (2012)

Genetics and epigenetics of Type 2 Diabetes physiology

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