dc.contributor.advisor | Moens, Ugo | |
dc.contributor.author | Konstantinell, Aelita Gloria Virginia | |
dc.date.accessioned | 2019-09-11T06:38:48Z | |
dc.date.available | 2019-09-11T06:38:48Z | |
dc.date.issued | 2019-08-30 | |
dc.description.abstract | Merkel cell carcinoma (MCC) is a rare, aggressive neuroendocrine form of skin cancer with a rising incidence and a high mortality rate. The risk of developing Merkel cell carcinoma increased among a large number of immunosuppressed patients. The origin of cancer not known and the pathogenesis of MCC not fully understood. Two causes can initiate MCC tumorigenesis, such as accumulation of UV-induced mutations in the MCPyV-negative MCCs and Merkel cell polyomavirus (MCPyV)-encoded genes in MCPyV-positive tumor. Approximately 80% of all MCCs are positive for viral DNA of MCPyV. Immune therapy is a promising treatment for MCC patients, but it has failed to arrest the cancer progression. Precision medicine is needed. Precision medicine is a core of highly specific biomarkers disclose information for diagnosis, prognosis, and therapy. The usefulness of a biomarker lies in its ability to provide an early indication of a disease and its progression, and it should be easy to detect and measure.
Our research aim was to investigate by high-throughput approaches for screening and analysis of two different types of MCC cell lines and their exosomes.
Our proteomic investigation result showed that MCPyV-negative and –positive Merkel cell lines’ exosomes contain several proteins associated with tumor cell motility and metastasis. We identified a list of vesicular proteins derived from the extracellular region, which upregulated in exosome from MCPyV-negative MCC cell lines compare to MCPyV-positive MCC cell lines. We did the next-generation sequencing screening of exosomal small RNA from two groups of MCC cell lines. Main findings investigated in samples from healthy donors and MCC patients. The result showed the exosomal miR-222-3p presence in all type of samples derived from MCC cell lines, healthy donors and patients. The miR-222-3p selectively sorted in exosomes. The target genes’ screening indicates that the exosomal miR-222-3p play pleiotropic role dependent on recipient cells in health and disease. Then, the proteomic investigation and integrated analyses revealed the MCPyV-negative MCC cell lines loss the DNA, RNA and protein synthesis and their regulation system activity, and have an unusual event of protein expression at cell proliferation and post-translational modification sites. These may lead to transcription-associated mutation (TAM) and transcription-associated recombination (TAR), which gave a rise a high mutational burden. The MCPyV-positive MCC cell lines showed upregulated expression of proteins involved in DNA transcription initiation, termination, modification, and repair, harnesses of polyomaviruses for DNA integration. Following upregulated proteins of RNA, protein synthesis and post-translational modification machinery such as the protein acylation culminates in the viral proteins and genome synthesis. However, a fixed exosome-ER accession ability and a low activity on endocytosis and exocytosis sites indicate to reduce the chance of MCPyV spreading.
Finally, transcriptomic and proteomic approaches are powerful tools for cell phenotyping and biomarkers discovery. | en_US |
dc.description.doctoraltype | ph.d. | en_US |
dc.description.popularabstract | English
This dissertation is the result of comparative and integrated analyses of proteins and microRNAs (miRNAs) profiling of polyomavirus-negative and -positive Merkel cell carcinoma lines and their exosomes, discussion of the potential application of exosomes, proteins and miRNAs as biomarkers for the diagnosis, progression, and prognosis for Merkel cell carcinoma (MCC). During this project generated data and storied in publicly available repositories for further screening and validation studies. This project confirmed the benefit of exploring MCC cell lines as a model system for MCCs, and proteomic and sequencing approaches are potent tools for biomarkers discovery.
Norwegian
Denne avhandlingen er resultatet av komparative og integrerte analyser av proteiner og mikroRNA (miRNA) profilene av polyomavirus-negative og -positive Merkel-cellekarsinomlinjer og deres eksosomer; diskusjon av potensielle anvendelser av eksosomer, proteiner og miRNA som biomarkører for diagnose, progresjon og prognose for merkelcellekarcinom (MCC). I løpet av dette prosjektet genererte data og lagret i offentlige tilgjengelige repositorier for videre screening og validering studier. Dette prosjektet bekreftet fordelene med å utforske MCC-cellelinjer som et modellsystem for MCC, og proteomikk og sekvenseringsmetoder er effektive verktøy for biomarkørfunn.
Swedish
Denna avhandling är resultatet av komparativa och integrerade analyser av proteiner och mikroRNA (miRNA) av polyomavirus-negativa och -positiva merkelcellkarcinomlinjer och deras exosomer; diskussion om potentiella appliceringar av exosomer, proteiner och miRNA som biomarkörer för diagnos, progression och prognos för Merkel cellkarcinoma (MCC). Under detta projektet genererades data och lagrades i offentliga tillgängliga dataförråd för ytterligare undersöknings och validerings studier. Detta projektet bekräftade fördelen att utforska MCC-cellinjer som ett modelsystem för MCC, och proteomiks och sekvenseringsmetoder är potenta verktyg för biomarkörsupptäckt.
Russian
Эта диссертация является результатом сравнительного и комплексного анализа белков и микроРНК полиомавирус-негативных и -положительных клеточных линий карциномы Меркеля и их экзосом; обсуждения потенциального применения экзосом, белков и микроРНК в качестве биомаркеров для диагностики и прогноза карциномы Меркеля. Во время этого проекта созданы данные, которые сохранены в общедоступных информационных хранилищах биологических материалов для дальнейшего изучения. Этот проект подтвердил преимущества исследования клеточных линий карциномы Меркеля в качестве модельной системы для раковой болезни карциномы Меркеля. А также, методы как масс-спектрометрия и технология секвенирования являются инструментами обладающими потенцией для открытия биомаркеров. | en_US |
dc.identifier.uri | https://hdl.handle.net/10037/16149 | |
dc.language.iso | eng | en_US |
dc.publisher | UiT The Arctic University of Norway | en_US |
dc.publisher | UiT Norges arktiske universitet | en_US |
dc.relation.haspart | Paper I: Konstantinell, A., Bruun, J-A., Olsen, R., Aspar, A., Škalko-Basnet, N., Sveinbjørnsson, B. & Moens, U. (2016). Secretomic analysis of extracellular vesicles originating from polyomavirus-negative and polyomavirus-positive Merkel cell carcinoma cell lines. <i>Proteomics, 16</i>(19), 2587-2591. Also available at <a href=https://doi.org/10.1002/pmic.201600223>https://doi.org/10.1002/pmic.201600223. </a><p>
<p>Paper II: Konstantinell, A., Sundbø, A.H.A., Shi, H., Škalko-Basnet, N., Lui, W-O., Sveinbjørnsson, B. & Moens, U. Comparative analysis of microRNA expression profiles of exosomes derived from polyomavirus-negative and –positive Merkel cell lines by next-generation sequencing. (Manuscript). <p>
<p>Paper III: Konstantinell, A., Bruun, J-A., Lui, W-O., Sveinbjørnsson, B. & Moens, U. Comparative and integrated analyses of Merkel cell polyomavirus-negative and – positive cell lines and their exosomes proteomic studies. (Manuscript). | en_US |
dc.relation.isbasedon | Konstantinell, A.G.V. (2019). <i>Replication Data for: Biomarkers Discovery: The Benefit of the Study Exosomes Originated from Merkel Cell Carcinoma Cell Lines</i>, (V1) [DataverseNO]. <a href= https://doi.org/10.18710/KCW912>https://doi.org/10.18710/KCW912. </a><p>
<p>Konstantinell, A.G.V. (2019). <i>Replication Data for: Secretomic analysis of extracellular vesicles originating from polyomavirus-negative and polyomavirus-positive Merkel cell carcinoma cell lines</i>, (V1) [DataverseNO]. <a href=https://doi.org/10.18710/USXCRS> https://doi.org/10.18710/USXCRS. </a><p>
<p>Konstantinell, A.G.V. (2019). <i>Replication Data for: Comparative analysis of microRNA expression profiles of exosomes derived from polyomavirus-negative and –positive Merkel cell lines by next generation sequencing</i>, (V1) [DataverseNO]. <a href=https://doi.org/10.18710/BDMYIK> https://doi.org/10.18710/BDMYIK. </a> <p>
<p>Konstantinell, A.G.V. (2019). <i>Replication Data for: Comparative and integrated analyses of polyomavirus-negative and -positive Merkel cell carcinoma cell lines and their exosomes proteomic studies</i>, (V1) [DataverseNO]. <a href=https://doi.org/10.18710/OGQOQW> https://doi.org/10.18710/OGQOQW. </a> | en_US |
dc.rights.accessRights | openAccess | en_US |
dc.rights.holder | Copyright 2019 The Author(s) | |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-sa/3.0 | en_US |
dc.rights | Attribution-NonCommercial-ShareAlike 3.0 Unported (CC BY-NC-SA 3.0) | en_US |
dc.subject | VDP::Medisinske Fag: 700::Basale medisinske, odontologiske og veterinærmedisinske fag: 710::Medisinsk molekylærbiologi: 711 | en_US |
dc.subject | VDP::Medical disciplines: 700::Basic medical, dental and veterinary science disciplines: 710::Medical molecular biology: 711 | en_US |
dc.title | Biomarkers Discovery:
The Benefit of the Study Exosomes Originated from Merkel Cell Carcinoma Cell Lines | en_US |
dc.type | Doctoral thesis | en_US |
dc.type | Doktorgradsavhandling | en_US |