Metabolomic analysis in breast cancer : Quantification of amino acids and acylcarnitines by mass spectrometry and statistical analysis via principal component analysis

Postgraduate Thesis uoadl:2865899 272 Read counter

Unit:
Κατεύθυνση Φαρμακευτική Ανάλυση - Έλεγχος ποιότητας
Library of the School of Science
Deposit date:
2019-03-13
Year:
2019
Author:
Triantopoulou Aikaterini-Dionysia
Supervisors info:
Λουκάς Ιωάννης, Αναπλ. Καθηγητής, Τμήμα Φαρμακευτικής, Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών
Original Title:
Μεταβολομική ανάλυση στον καρκίνο του μαστού : Ποσοτικός προσδιορισμός αμινοξέων και ακυλοκαρνιτινών με φασματομετρία μαζών και στατιστική μελέτη με ανάλυση κυρίων συνιστωσών
Languages:
Greek
Translated title:
Metabolomic analysis in breast cancer : Quantification of amino acids and acylcarnitines by mass spectrometry and statistical analysis via principal component analysis
Summary:
In recent years, amino acids and acylcarnitines have been studied by many researchers because of their multiple uses. They have been markers for the identification and prevention of metabolic diseases in neonatals and they have been used as biomarkers to predict and monitor treatment in various types of cancer such as breast cancer and colorectal cancer. In addition they have been used in various other diseases such as diabetes. Their number of uses is mainly due to the metabolic pathways, as well as to their easy determination by mass spectrometry. The aim of the present study is to develop a method for the determination of amino acids and acylcarnitines with mass spectrometry. Additionally, amino acid and acylcarnitine was studied in two groups of people, a breast cancer group and a control group.
Main subject category:
Science
Other subject categories:
Health Sciences
Keywords:
Μass spectrometry, Amino acids, Acylocarnitines, Principal component analysis, LC-ESI-MS/MS
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
90
Number of pages:
105
File:
File access is restricted only to the intranet of UoA.

Triantopoulou Aikaterini Dionysia_Thesis.pdf
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