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Clinical Amyloid Typing by Proteomics: Performance Evaluation and Data Sharing Between Two Centres

Canetti, D; Brambilla, F; Rendell, NB; Nocerino, P; Gilbertson, JA; Di Silvestre, D; Bergamaschi, A; ... Taylor, GW; + view all (2021) Clinical Amyloid Typing by Proteomics: Performance Evaluation and Data Sharing Between Two Centres. Molecules , 26 (7) , Article 1913. 10.3390/molecules26071913. Green open access

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Abstract

Amyloidosis is a relatively rare human disease caused by the deposition of abnormal protein fibres in the extracellular space of various tissues, impairing their normal function. Proteomic analysis of patients' biopsies, developed by Dogan and colleagues at the Mayo Clinic, has become crucial for clinical diagnosis and for identifying the amyloid type. Currently, the proteomic approach is routinely used at National Amyloidosis Centre (NAC, London, UK) and Istituto di Tecnologie Biomediche-Consiglio Nazionale delle Ricerche (ITB-CNR, Milan, Italy). Both centres are members of the European Proteomics Amyloid Network (EPAN), which was established with the aim of sharing and discussing best practice in the application of amyloid proteomics. One of the EPAN's activities was to evaluate the quality and the confidence of the results achieved using different software and algorithms for protein identification. In this paper, we report the comparison of proteomics results obtained by sharing NAC proteomics data with the ITB-CNR centre. Mass spectrometric raw data were analysed using different software platforms including Mascot, Scaffold, Proteome Discoverer, Sequest and bespoke algorithms developed for an accurate and immediate amyloid protein identification. Our study showed a high concordance of the obtained results, suggesting a good accuracy of the different bioinformatics tools used in the respective centres. In conclusion, inter-centre data exchange is a worthwhile approach for testing and validating the performance of software platforms and the accuracy of results, and is particularly important where the proteomics data contribute to a clinical diagnosis.

Type: Article
Title: Clinical Amyloid Typing by Proteomics: Performance Evaluation and Data Sharing Between Two Centres
Location: Switzerland
Open access status: An open access version is available from UCL Discovery
DOI: 10.3390/molecules26071913
Publisher version: https://doi.org/10.3390/molecules26071913
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: LC-MS/MS raw data exchange, amyloid proteomics, proteomics platforms, proteomics results validation
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Inflammation
URI: https://discovery.ucl.ac.uk/id/eprint/10125675
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