Wybrane metody analizy w proteomice

Tymon Rubel

Abstract

Mass spectrometry has increasingly become the method of choice for large-scale analysis in the field of proteomics. In typical proteomic experiments liquid chromatography coupled to tandem mass spectrometry (LC-MS) was mostly used for the identification of proteins in complex biological samples. Recently, there is an increasing interest in obtaining also protein abundance measurements directly form mass spectrometry data.In this thesis a LC-MS-based methodology is presented that allows relative changes in abundance of peptides and proteins to be determined without the use of stable isotope labelling. An integrated suite of algorithms was developed for all mass spectrometry data processing stages needed for quantitative analysis, including: collecting information on the samples composition, quantitative features extraction from mass spectra and further processing aimed at enhancing the quality of the data. The proposed method and software were verified on both real-studies and synthetic datasets. The results obtained with the developed algorithms for data processing have been compared to the results of commonly used reference techniques.
Diploma typeDoctor of Philosophy
Author Tymon Rubel (FEIT / RE)
Tymon Rubel,,
- The Institute of Radioelectronics
Title in PolishWybrane metody analizy w proteomice
Languagepl polski
Certifying UnitFaculty of Electronics and Information Technology (FEIT)
Disciplineelectronics / (technology domain) / (technological sciences)
Defense Date09-02-2010
End date23-02-2010
Supervisor Krzysztof Zaremba (FEIT / RE)
Krzysztof Zaremba,,
- The Institute of Radioelectronics

Internal reviewers Jarosław Arabas (FEIT / IN)
Jarosław Arabas,,
- The Institute of Computer Science
External reviewers Ryszard Tadeusiewicz
Ryszard Tadeusiewicz,,
-

Jacek Otlewski
Jacek Otlewski,,
-
Pages138
Keywords in Englishbioinformatics, proteomics
Abstract in EnglishMass spectrometry has increasingly become the method of choice for large-scale analysis in the field of proteomics. In typical proteomic experiments liquid chromatography coupled to tandem mass spectrometry (LC-MS) was mostly used for the identification of proteins in complex biological samples. Recently, there is an increasing interest in obtaining also protein abundance measurements directly form mass spectrometry data.In this thesis a LC-MS-based methodology is presented that allows relative changes in abundance of peptides and proteins to be determined without the use of stable isotope labelling. An integrated suite of algorithms was developed for all mass spectrometry data processing stages needed for quantitative analysis, including: collecting information on the samples composition, quantitative features extraction from mass spectra and further processing aimed at enhancing the quality of the data. The proposed method and software were verified on both real-studies and synthetic datasets. The results obtained with the developed algorithms for data processing have been compared to the results of commonly used reference techniques.
Thesis file
doktorat Rubel.pdf 1.69 MB
Citation count*5 (2020-09-18)

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