Leonardo Tenori gives a talk at Toscana Tech

This morning, Leonardo Tenori, member of Giotto Biotech Board of Director, spoke about Metabolomics based on NMR.

It was a great opportunity to illustrate to participants of Toscana Tech how Metabolomics based on NMR works and to offer some details about fields of application. Some examples of the fields of application are:

  • Biomedical: metabolomic profiling of biological fluids (breath condensate, expectorate, sweat, urine, blood, serum), disease fingerprinting.
  • Pharmaceutical: prediction of drug toxicity, analysis of mechanism of action and side effects.
  • Agro-food: analyses of food products (fruits, vegetables, dairy products, olive oil, meat and fish, etc.).
  • Probiotic: metabolomics of probiotic products for their characterization.

High‐throughput metabolomics by 1D NMR

 

Abstract

Metabolomics deals with the whole ensemble of metabolites (the metabolome). As one of the ‐omic sciences, it relates to biology, physiology, pathology and medicine; but metabolites are chemical entities, small organic molecules or inorganic ions. Therefore, their proper identification and quantitation in complex biological matrices requires a solid chemical ground. With respect to e.g. DNA, metabolites are much more prone to oxidation or enzymatic degradation: we can reconstruct large parts of a mammoth’s genome from a small specimen, but we are unable to do the same with its metabolome, which was probably largely degraded a few hours after the animal’s death. Thus, we need standard operating procedures, good chemical skills in sample preparation for storage and subsequent analysis, accurate analytical procedures, a broad knowledge of chemometrics and advanced statistical tools, and a good knowledge of at least one of the two metabolomics techniques, MS or NMR. All these skills are traditionally cultivated by chemists. Here we focus on metabolomics from the chemical standpoint, and restrict ourselves to NMR. From the analytical point of view NMR has pros and cons, but does provide a peculiar holistic perspective that may speak for its future adoption as a population‐wide health screening technique.

Urine Shift Predictor released

Dear colleagues,

we would like to share with you a very recent publication from our group, where we have developed an NMR-based metabolomics tool, that could be very useful for urine studies.

If you want to read the full publication please read:
Deconvoluting interrelationships between concentrations and chemical shifts in urine provides a powerful analysis tool,
Takis, P.G., Schaefer H., Spraul, M., and Luchinat C., Nat. Commun., 8, (2017), doi:10.1038/s41467-017-01587-0.

If you want to have more information about the Urine shift Predictor please click here.
To directly use the software, please click here.

New collaboration with MTTlab for Metabolomics applied to invivo studies

Starting from December 2017, Giotto Biotech started a new collaboration with MTTlab. MTTlab delivers both in vitro and in vivo data sets for the preclinical evaluation of investigational compounds which can be used for regulatory submissions, project evaluation, scientific publications and fund raising. MTTlab provides support for client studies or projects from the earliest research stages and assists with both scientific and regulatory challenges to obtain valid results within requested deadlines.

Thanks to this new cooperation, Giotto Biotech and MTTlab intend to wide their services and products offer and to launch new ones.

2ND ISCAM MEETING

GIOTTO BIOTECH SPONSORED 2ND ISCAM MEETING 2015 – METABOLISM AND MICROENVIRONMENT CANCER PLASTICITY – VENICE 2015

Giotto Biotech presented at ISCaM2015 “Metabolomics by NMR: a new powerful technique to profile the metabolic fingerprint of diseases. Applications and services for cancer research”.

Giotto Biotech shared with ISCaM2015 attendees its team experience in providing metabolomics services in collaboration with the Magnetic Resonance Center (CERM – University of Florence). The lecture illustrated the use of NMR spectrometry for the analysis of biological samples and how this technique can be successful in cancer research.

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