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University of Cambridge

Development of a Software Package for the Quantitative Analysis of Proteomic Mass Spectrometry Datasets Labelled with Nitrogen-15

Abstract

dc:description.abstract

Elemental metabolic labelling using 15N stable isotopes is a technique used in peptide-centric proteomics that allows samples to be mixed before preparation and analysis (minimising technical variance) without introducing sample ambiguity to the results. Labelling with 15N induces a mass shift in labelled peptides that, when analysed by mass spectrometry (MS), allows the signal associated with differently labelled samples to be differentiated. When compared to similar labelling techniques such as Stable Isotope Labelling by Amino acids in Cell culture (SILAC), 15N poses unique challenges for analysis because the level of label incorporation affects not only the relative intensity of signals in MS analysis, but also how that signal is distributed. A computational signal extraction algorithm is not easily generalised to all peptides, especially if there are differences in the level of incorporation. Analysis of 15N data has been neglected by the general pace of software development in proteomic MS. Furthermore, the current 15N analysis options have relatively complex installation procedures and are limited to a command-line interface. I describe the development of a cross-platform 15N quantification software package (HeavyMetL) which runs inside a web browser, requiring no installation procedure and providing a graphical interface for both the analysis of data and visual interrogation of results (in addition to a more typical text-format table output). The optimisation (using experimental data) of a core part of the algorithm to determine the level of 15N incorporation is described in detail. Finally, the performance of HeavyMetL is benchmarked against published 15N labelled data from Arabidopsis seedlings quantified by a previously published algorithm, showing that HeavyMetL produces quantification of equivalent or better quality.

Degree

thesis:*
Name dc:type.qualificationname
Doctor of Philosophy (PhD)
Level dc:type.qualificationlevel
Doctoral
Grantor dc:publisher.institution
University of Cambridge
Year dc:date.issued
2020

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Charles, Philip David
Advisor dc:contributor.advisor
  • Lilley, Kathryn Susan

Subjects

dc:subject × 8

Rights

dc:rights
Language dc:language
en

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:www.repository.cam.ac.uk:1810/301515

Chain of custody

source
Harvested from
Cambridge University
Base URL
api.repository.cam.ac.uk/server/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Charles, Philip David. Development of a Software Package for the Quantitative Analysis of Proteomic Mass Spectrometry Datasets Labelled with Nitrogen-15. Doctoral thesis, University of Cambridge, 2020. https://doi.org/10.17863/CAM.48584