The PPP-labels software for quantitative proteomics

Lead Research Organisation: University of Liverpool
Department Name: Institute of Integrative Biology

Abstract

The large-scale study of proteins (the functional molecules in cells) is called proteomics and the main technology for identification and quantification is mass spectrometry (MS). There are two popular proteomics methods, called "label-based" and "label-free". One of the leading commercial software packages for label-free data analysis is Progenesis LC-MS from Nonlinear Dynamics (Newcastle, UK). We previously developed an application for adapting Progenesis LC-MS to analyse data from label-based studies, called the Progenesis Post-Processor (PPP). In this project, we are in the process of commercialising this software in a product called PPP-labels. We have requested support in the lead up to the release of the first version on the open market. We are also going to generate data sets in which we know the abundance of proteins to demonstrate and benchmark PPP-labels.

Publications

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Ghali F (2016) Proteome Informatics

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Ghattaoraya GS (2016) A web resource for mining HLA associations with adverse drug reactions: HLA-ADR. in Database : the journal of biological databases and curation

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Ghattaoraya GS (2017) Human leucocyte antigen-adverse drug reaction associations: from a perspective of ethnicity. in International journal of immunogenetics

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Gonzalez-Galarza FF (2018) Allele Frequency Net Database. in Methods in molecular biology (Clifton, N.J.)

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Jones A (2016) Proteome Informatics

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Jones AR (2020) Proteome Bioinformatics Methods for Studying Histidine Phosphorylation. in Methods in molecular biology (Clifton, N.J.)

 
Description We have developed new software for mass spectrometry data analysis called Proteolabels.

Proteolabels is able to perform label-based quantitative proteomics analysis (SILAC, dimethyl-labelled approaches), and functions as a module for the Progenesis QI for proteomics (Waters Corp.) software. Proteolabels has novel approaches for converting peptide quantitative values into protein-level values, and a unique approach for using novel data types for quality control, including ion mobility-MS, which to our knowledge has never before been incorporated into label-based quantitative software.
Exploitation Route The software has been licensed and is available for labs to purchase, as an additional module for popular software Progenesis QI for proteomics.
Sectors Healthcare,Pharmaceuticals and Medical Biotechnology

URL http://www.omicanalytics.com/products/proteolabels/
 
Description We have developed commercial software called Proteolabels, which has been licenced to start-up company Omic Analytics who have an exclusive sales and distribution contract for Proteolabels with instrument manufacturer Waters Corp.
First Year Of Impact 2016
Sector Digital/Communication/Information Technologies (including Software),Healthcare,Pharmaceuticals and Medical Biotechnology
Impact Types Economic

 
Title Proteolabels 
Description Proteolabels is software for SILAC-style quantification in proteomics. The software has been licenced from University of Liverpool to Omic Analytics Ltd. for further develop and support. The software is onward licenced to Waters Corp for internatinoal sale 
Type Of Technology Software 
Year Produced 2015 
Impact The software has been licenced to start-up company, and is now being sold internationally by Waters Corp. 
URL http://www.omicanalytics.com/products/proteolabels/
 
Company Name Omic Analytics Ltd 
Description Omic Analytics develops products and services in multi-omics and computational biology. 
Year Established 2014 
Impact Omic Analytics (OA) has licenced the Proteolabels software from the University of Liverpool, and has a resale agreement in place with Waters Corp. OA is also offering innovative services in omics and computational biology, to a variety of customers.
Website http://www.omicanalytics.com/