<div class="csl-bib-body">
<div class="csl-entry">Zareva, E. (2016). <i>Invetigating the potential of human leucocyte cell lines and primary cells for tumor prediction in colon cancer tissue by intact cell MALDI-ToF mass spectrometry</i> [Master Thesis, Technische Universität Wien]. reposiTUm. https://doi.org/10.34726/hss.2016.31774</div>
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dc.identifier.uri
https://doi.org/10.34726/hss.2016.31774
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/6041
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dc.description
Abweichender Titel nach Übersetzung der Verfasserin/des Verfassers
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dc.description.abstract
Colorectal cancers are among the most common cancer types worldwide. It was found that the immune cell infiltration represents the best prognostic factor for patient survival. The type and location of immune cells in the tumor influence its progression. Tumor-infiltrating lymphocytes (TILs) and tumor-associated macrophages (TAMs) are important groups of immune cells present in the tumor. Not all subtypes of these groups can be identified immunohistochemically. Therefore, mass spectrometry imaging (MSI) can be used for identifying the type and location of immune cells in colon tumor sections. To locate certain cells in a tissue section, cell type specific protein peaks can be used. In this thesis, the potential of MALDI Intact Cell Mass Spectrometry (ICMS) to find such peaks was evaluated. Lymphocytic cell line Jurkat and monocytic cell line U937 were used for the development of a MALDI sample preparation method. Using unsupervised hierarchical cluster analysis and principle component analysis, both cell lines could be discriminated and via receiver operating characteristic analysis specific peaks could be identified. By utilizing the same methods for sample preparation and statistical analysis it was shown that primary human cells from healthy donors- monocytes (CD14+) and lymphocytes (CD14-) have distinct mass spectra. However, specific peaks were found only for monocytes, but not for lymphocytes opening a field for future investigation.
en
dc.language
English
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dc.language.iso
en
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dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
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dc.subject
MALDI MS
de
dc.subject
MALDI Imaging
de
dc.subject
Intact Cell Mass Spectrometry
de
dc.subject
MALDI MS
en
dc.subject
MALDI Imaging
en
dc.subject
Intact Cell Mass Spectrometry
en
dc.title
Invetigating the potential of human leucocyte cell lines and primary cells for tumor prediction in colon cancer tissue by intact cell MALDI-ToF mass spectrometry
en
dc.title.alternative
Molekulare Phänotypisierung von Zellen mittels MALDI Massenspektrometrie zur Vorhersage des Vorkommens in Gewebe
de
dc.type
Thesis
en
dc.type
Hochschulschrift
de
dc.rights.license
In Copyright
en
dc.rights.license
Urheberrechtsschutz
de
dc.identifier.doi
10.34726/hss.2016.31774
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dc.contributor.affiliation
TU Wien, Österreich
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dc.rights.holder
Elitsa Zareva
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dc.publisher.place
Wien
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tuw.version
vor
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tuw.thesisinformation
Technische Universität Wien
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tuw.publication.orgunit
E164 - Institut für Chemische Technologien und Analytik
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dc.type.qualificationlevel
Diploma
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dc.identifier.libraryid
AC13079575
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dc.description.numberOfPages
103
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dc.identifier.urn
urn:nbn:at:at-ubtuw:1-4885
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dc.thesistype
Masterarbeit
de
dc.thesistype
Master Thesis
en
dc.rights.identifier
In Copyright
en
dc.rights.identifier
Urheberrechtsschutz
de
tuw.advisor.staffStatus
staff
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tuw.advisor.orcid
0000-0002-8060-7851
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item.fulltext
with Fulltext
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item.grantfulltext
open
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item.cerifentitytype
Publications
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item.cerifentitytype
Publications
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item.languageiso639-1
en
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairecristype
http://purl.org/coar/resource_type/c_18cf
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item.openairetype
Thesis
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item.openairetype
Hochschulschrift
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item.openaccessfulltext
Open Access
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crisitem.author.dept
E166 - Institut für Verfahrenstechnik, Umwelttechnik und technische Biowissenschaften