MALDI-TOF mass spectrometry metabolite screening assays for drug discovery in human disease
Sector: Education • Location: United Kingdom
Source: EU Funding & Tenders Portal
Discovery for drug targets is a key step within the process of drug development, and is the corner stone in the pharmaceutical industry. This is mostly achieved by high-throughput screening (HTS) approaches in which a large number of chemical substances are assayed for a specific effect or activity in diverse areas of biology. Mass spectrometry (MS) has become a widely adopted tool in this field a
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Participants
Sponsoring Agency | Obfuscated Data |
Company | Obfuscated Data |
Status
Original status | ended |
Taiyo status | Obfuscated Data |
Taiyo last update | 00-00-0000 |
Available timestamps | 00-00-0000 |
Available timestamp type | Obfuscated Data |
Contact
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Phone | 0000000000 |
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Description
Description | Discovery for drug targets is a key step within the process of drug development, and is the corner stone in the pharmaceutical industry. This is mostly achieved by high-throughput screening (HTS) approaches in which a large number of chemical substances are assayed for a specific effect or activity in diverse areas of biology. Mass spectrometry (MS) has become a widely adopted tool in this field as it offers the possibility to simultaneously track molecules in a label-free manner, provides excellent signal to noise, reproducibility, assay precision, and a significantly reduced reagent cost when compared to fluorescence-based assays. Matrix-assisted laser/desorption ionisation time of flight (MALDI-TOF) is the most validated surface ionisation method for HTS approaches, but reported applications of this technology have been limited to in vitro assays with simple readouts and to peptide/protein-centric activity assays. To date, comprehensive and unbiased metabolomics based HTS approaches for cellular assays with MALDI-TOF have not been explored. The objective of this fellowship is to set up a MALDI-TOF based cellular assay for HTS metabolomics drug discovery in order to identify a set of metabolites to screen which will enable us to unbiasly and comprehensibly measure, in a HT manner, how drugs affect different metabolic pathways while simultaneously mapping the metabolic profile of the cell. First, I will develop a robust protocol for the detection, identification, and quantification of ~50 small metabolites for cellular assays. Then, I will apply this protocol to track metabolites in a pulmonary fibrosis cellular model, as well as in fibrotic lung tissue sections using MS imaging. The goal is to compare a disease model with the control to see how drugs are affecting these metabolites, and to see if identified biomarkers can be used to identify disease in tissue samples. As a final validation step, I will implement this platform in Boehringer Ingelheim in Germany. |
Original sub-sector | Obfuscated |
Original Currency | USD |
Original budget | 000000000000000 |
Procurement method | Obfuscated Data |
Budget | 000000000000000 |
Location
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Location | Obfuscated Data, Obfuscated data, obfuscated data, Obfuscated data |
Source
Source reliability | High |
Data quality score | 100% |
Source | Obfuscated Data |
URL | obfuscated_data,obfuscateddata.com |
More Details
Project Type | Obfuscated Data |
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