Descrizione del progetto
Spettrometria di massa avanzata per la metabolomica del cancro
La metabolomica, che comprende la lipidomica, sta emergendo come approccio promettente per fornire nuove informazioni sulla regolazione del metabolismo in condizioni di salute e di malattia. La spettrometria di massa è la tecnica d’elezione quando si tratta dell’analisi di biomolecole quali peptidi, lipidi e zuccheri in campioni biologici. Gli scienziati del progetto MASS2, finanziato dall’UE, si propongono di superare alcune limitazioni nell’analisi di tessuti complessi mediante spettrometria di massa. La tecnologia migliorata agevolerà la caratterizzazione completa dei tessuti e sarà accompagnata da un software specializzato per l’analisi multi-parametrica. MASS2 si concentrerà sul monitoraggio del cancro della vescica per caratterizzarne la fisiologia e identificare eventuali nuovi biomarcatori prognostici e diagnostici.
Obiettivo
Matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry imaging (MSI) is increasingly used for clinical application. Based on untargeted, spatial chemical information, tissue samples can be analysed with superior density of information compared to conventional histology techniques. However, MALDI suffers from several significant limitations like strong ion suppression effects, inherently low ion yields limited to a few classes of polar to mid-polar analytes, and impeded detection of low-weight compounds. This crucially hampers a comprehensive analysis of complex biological samples. Strategies for post ionisation (PI) – most prominently MALDI-2 – significantly increase the ion yields for numerous mid-polar and polar compounds. Surface-assisted LDI (SALDI) uses photoactive surfaces, which feature specific ablation and ionisation that can majorly extend the range of detectable compounds and can be prepared in a superiorly homogeneous manner for SALDI-MSI.
The proposed study aims to develop a novel means for extensive metabolome and lipidome analysis by SALDI-PI-MSI to overcome limitations of MALDI. Therefore, a new PI strategy coined Single-Photon Induced Chemical Ionisation (SPICI) will be combined with functionalised Au layers for comprehensive tissue characterisation of an extended polarity range with high mass resolution. The versatile software package rMSI will provides the computational means for the analysis of the complex measured data sets. We will apply our approach to human samples of bladder cancer tumour and achieve detailed monitoring of physiological processes in the cancerous tissue in unpreceded analytical depth. Newly identified biomarkers will help the urgent need for prognostic and diagnostic means for cancer. This comprehensive approach can be a massive generator of hypotheses for disease characterisation and foster the implementation of MSI into further fields of medical research and help to mature MSI in a multidisciplinary fashion.
Campo scientifico
Parole chiave
Programma(i)
- HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA) Main Programme
Meccanismo di finanziamento
HORIZON-TMA-MSCA-PF-EF - HORIZON TMA MSCA Postdoctoral Fellowships - European FellowshipsCoordinatore
43003 Tarragona
Spagna