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Universiteit Utrecht
1.
Veel, E.M.
T-cell dynamics in chronic viral infection.
Degree: 2014, Universiteit Utrecht
URL: http://dspace.library.uu.nl:8080/handle/1874/288530
► In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of…
(more)
▼ In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of human CD4+ and CD8+ T cells is described in chapter 2. In this chapter, T-cell turnover in untreated HIV infected individuals is compared to that in healthy individuals. To investigate whether certain HIV-induced alterations in the human T-cell compartment are reversible during therapy, we analyze T-cell turnover during cART with an in depth investigation of the role of the HIV entry inhibitor Maraviroc in immunological non-responders, a specific group of HIV infected individuals in which viral replication is controlled but immune recovery is slow, in chapter 3. Maraviroc and placebo treated individuals within the same clinical trial were compared in terms of T-cell turnover and life span. Functional and phenotypical changes in T cells during cART intensification with Maraviroc are characterized in chapter 4. In this placebo controlled clinical trial, Maraviroc treated individuals were followed longitudinally for 48 weeks, from the start of Maraviroc treatment intensification. Chapter 5 explores whether CD8+ T-cell numbers, which are expanded in untreated HIV infected individuals normalize during cART. This is investigated cross-sectionally after at least 5 years of successful cART. Chapter 6 covers the changes that chronic CMV infection induces in the CD8+ T-cell compartment. In a large cohort of children and adults, phenotypical characteristics of T cells from CMV seropositive and CMV seronegative individuals were compared. Chapter 7 focuses on the measurement of TCR diversity since this is an important tool to analyze the functionality of the human T-cell compartment. We optimized the
AmpliCot method for the measurement of TCR diversity with mathematical modeling in this chapter.
Advisors/Committee Members: Miedema, F., Tesselaar (Kiki), Kiki, Borghans, JAM.
Subjects/Keywords: T-cell; Lymphocyte; D2O; HIV; CMV; AmpliCot
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APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
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APA (6th Edition):
Veel, E. M. (2014). T-cell dynamics in chronic viral infection. (Doctoral Dissertation). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/288530
Chicago Manual of Style (16th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Doctoral Dissertation, Universiteit Utrecht. Accessed December 12, 2019.
http://dspace.library.uu.nl:8080/handle/1874/288530.
MLA Handbook (7th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Web. 12 Dec 2019.
Vancouver:
Veel EM. T-cell dynamics in chronic viral infection. [Internet] [Doctoral dissertation]. Universiteit Utrecht; 2014. [cited 2019 Dec 12].
Available from: http://dspace.library.uu.nl:8080/handle/1874/288530.
Council of Science Editors:
Veel EM. T-cell dynamics in chronic viral infection. [Doctoral Dissertation]. Universiteit Utrecht; 2014. Available from: http://dspace.library.uu.nl:8080/handle/1874/288530
2.
Veel, E.M.
T-cell dynamics in chronic viral infection.
Degree: 2014, University Utrecht
URL: http://dspace.library.uu.nl/handle/1874/288530
;
URN:NBN:NL:UI:10-1874-288530
;
urn:isbn:978-94-6182-387-8
;
URN:NBN:NL:UI:10-1874-288530
;
http://dspace.library.uu.nl/handle/1874/288530
► In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of…
(more)
▼ In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of human CD4+ and CD8+ T cells is described in chapter 2. In this chapter, T-cell turnover in untreated HIV infected individuals is compared to that in healthy individuals. To investigate whether certain HIV-induced alterations in the human T-cell compartment are reversible during therapy, we analyze T-cell turnover during cART with an in depth investigation of the role of the HIV entry inhibitor Maraviroc in immunological non-responders, a specific group of HIV infected individuals in which viral replication is controlled but immune recovery is slow, in chapter 3. Maraviroc and placebo treated individuals within the same clinical trial were compared in terms of T-cell turnover and life span. Functional and phenotypical changes in T cells during cART intensification with Maraviroc are characterized in chapter 4. In this placebo controlled clinical trial, Maraviroc treated individuals were followed longitudinally for 48 weeks, from the start of Maraviroc treatment intensification. Chapter 5 explores whether CD8+ T-cell numbers, which are expanded in untreated HIV infected individuals normalize during cART. This is investigated cross-sectionally after at least 5 years of successful cART. Chapter 6 covers the changes that chronic CMV infection induces in the CD8+ T-cell compartment. In a large cohort of children and adults, phenotypical characteristics of T cells from CMV seropositive and CMV seronegative individuals were compared. Chapter 7 focuses on the measurement of TCR diversity since this is an important tool to analyze the functionality of the human T-cell compartment. We optimized the
AmpliCot method for the measurement of TCR diversity with mathematical modeling in this chapter.
Advisors/Committee Members: Miedema, Frank, Tesselaar-Kiki, Kiki, Borghans, JAM.
Subjects/Keywords: T-cell; Lymphocyte; D2O; HIV; CMV; AmpliCot
Record Details
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Record Details
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Veel, E. M. (2014). T-cell dynamics in chronic viral infection. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530
Chicago Manual of Style (16th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Doctoral Dissertation, University Utrecht. Accessed December 12, 2019.
http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530.
MLA Handbook (7th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Web. 12 Dec 2019.
Vancouver:
Veel EM. T-cell dynamics in chronic viral infection. [Internet] [Doctoral dissertation]. University Utrecht; 2014. [cited 2019 Dec 12].
Available from: http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530.
Council of Science Editors:
Veel EM. T-cell dynamics in chronic viral infection. [Doctoral Dissertation]. University Utrecht; 2014. Available from: http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530
3.
Veel, E.M.
T-cell dynamics in chronic viral infection.
Degree: 2014, University Utrecht
URL: http://dspace.library.uu.nl/handle/1874/288530
;
URN:NBN:NL:UI:10-1874-288530
;
urn:isbn:978-94-6182-387-8
;
URN:NBN:NL:UI:10-1874-288530
;
http://dspace.library.uu.nl/handle/1874/288530
► In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of…
(more)
▼ In this thesis we investigate how chronic HIV and CMV infections impact on the human T-cell compartment. How untreated HIV infection affects the turnover of human CD4+ and CD8+ T cells is described in chapter 2. In this chapter, T-cell turnover in untreated HIV infected individuals is compared to that in healthy individuals. To investigate whether certain HIV-induced alterations in the human T-cell compartment are reversible during therapy, we analyze T-cell turnover during cART with an in depth investigation of the role of the HIV entry inhibitor Maraviroc in immunological non-responders, a specific group of HIV infected individuals in which viral replication is controlled but immune recovery is slow, in chapter 3. Maraviroc and placebo treated individuals within the same clinical trial were compared in terms of T-cell turnover and life span. Functional and phenotypical changes in T cells during cART intensification with Maraviroc are characterized in chapter 4. In this placebo controlled clinical trial, Maraviroc treated individuals were followed longitudinally for 48 weeks, from the start of Maraviroc treatment intensification. Chapter 5 explores whether CD8+ T-cell numbers, which are expanded in untreated HIV infected individuals normalize during cART. This is investigated cross-sectionally after at least 5 years of successful cART. Chapter 6 covers the changes that chronic CMV infection induces in the CD8+ T-cell compartment. In a large cohort of children and adults, phenotypical characteristics of T cells from CMV seropositive and CMV seronegative individuals were compared. Chapter 7 focuses on the measurement of TCR diversity since this is an important tool to analyze the functionality of the human T-cell compartment. We optimized the
AmpliCot method for the measurement of TCR diversity with mathematical modeling in this chapter.
Advisors/Committee Members: Miedema, Frank, Tesselaar-Kiki, Kiki, Borghans, JAM.
Subjects/Keywords: T-cell; Lymphocyte; D2O; HIV; CMV; AmpliCot
Record Details
Similar Records
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Share »
Record Details
Similar Records
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Veel, E. M. (2014). T-cell dynamics in chronic viral infection. (Doctoral Dissertation). University Utrecht. Retrieved from http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530
Chicago Manual of Style (16th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Doctoral Dissertation, University Utrecht. Accessed December 12, 2019.
http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530.
MLA Handbook (7th Edition):
Veel, E M. “T-cell dynamics in chronic viral infection.” 2014. Web. 12 Dec 2019.
Vancouver:
Veel EM. T-cell dynamics in chronic viral infection. [Internet] [Doctoral dissertation]. University Utrecht; 2014. [cited 2019 Dec 12].
Available from: http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530.
Council of Science Editors:
Veel EM. T-cell dynamics in chronic viral infection. [Doctoral Dissertation]. University Utrecht; 2014. Available from: http://dspace.library.uu.nl/handle/1874/288530 ; URN:NBN:NL:UI:10-1874-288530 ; urn:isbn:978-94-6182-387-8 ; URN:NBN:NL:UI:10-1874-288530 ; http://dspace.library.uu.nl/handle/1874/288530

EPFL
4.
Baltcheva, Irina.
Mathematical Modeling of T-Cell Experimental Data.
Degree: 2010, EPFL
URL: http://infoscience.epfl.ch/record/152005
► T lymphocytes (T cells) are key components of the adaptive immune system. These cells are able to recognize an enormous variety of pathogens thanks to…
(more)
▼ T lymphocytes (T cells) are key components of the adaptive immune system. These cells are able to recognize an enormous variety of pathogens thanks to the great specificity of their trans-membrane proteins, the T cell receptors (TCRs). TCR diversity is created during T cell maturation in the thymus by somatic gene-segment rearrangements and random nucleotide additions or deletions. Out of all possible T cell clones bearing specific TCRs, only a small fraction are successfully released in peripheral blood as the result of clonal selection. Among the selected clones, some self-reactive cells with the capacity to induce an auto-immune disease are erroneously released in periphery. To compensate for this functional flaw, the immune system has developed peripheral control mechanisms. One of them are regulatory T cells that are specialized in the control of harmful self-reactive clones. In this thesis, we combine mathematical modeling and experimental data to address immunological questions related to the dynamics of regulatory T cells and to the measurement of the structural diversity of T cell receptors. The dissertation is split into two main parts. In the first part, we model the lifelong dynamics of human regulatory T cells (Tregs). Despite their limited proliferation capacity, Tregs constitute a population maintained over the entire lifetime of an individual. The means by which Tregs sustain a stable pool in vivo are controversial. We define a novel mathematical model that we use to evaluate several biological scenarios about the origins and the proliferation capacity of two subsets of Tregs: precursor CD4+CD25+-CD45RO- and mature CD4+CD25+CD45RO+ cells. The lifelong dynamics of Tregs are described by a set of ordinary differential equations, driven by a stochastic process representing the major immune reactions involving these cells. Most of the parameters are considered as random variables having an a priori distribution. The likelihood of a scenario is estimated using Monte Carlo simulations. The model dynamics are validated with data from human donors of different ages. Analysis of the data led to the identification of two properties of the dynamics: (a) the equilibrium in the CD4+CD25+ Tregs population is maintained over both precursor and mature Tregs pools together, and (b) the ratio between precursor and mature Tregs is inverted in the early years of adulthood. Then, using the model, we identified four biologically relevant scenarios that have the above properties: (1) if the unique source of mature Tregs is the antigendriven differentiation of precursors that acquire the mature profile in the periphery, then the proliferation of Tregs is essential for the development and the maintenance of the pool; if there exist…
Advisors/Committee Members: Le Boudec, Jean Yves.
Subjects/Keywords: mathematical modeling; regulatory T cells (Tregs); T cell receptor (TCR) diversity; AmpliCot; ordinary differential equations; likelihood estimation; modélisation mathématique; lymphocytes T régulateurs (Tregs); diversité des récepteurs des cellules T (TCR); AmpliCot; équations différentielles ordinaires; estimateur de vraisemblance
Record Details
Similar Records
Cite
Share »
Record Details
Similar Records
Cite
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❌
APA ·
Chicago ·
MLA ·
Vancouver ·
CSE |
Export
to Zotero / EndNote / Reference
Manager
APA (6th Edition):
Baltcheva, I. (2010). Mathematical Modeling of T-Cell Experimental Data. (Thesis). EPFL. Retrieved from http://infoscience.epfl.ch/record/152005
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Chicago Manual of Style (16th Edition):
Baltcheva, Irina. “Mathematical Modeling of T-Cell Experimental Data.” 2010. Thesis, EPFL. Accessed December 12, 2019.
http://infoscience.epfl.ch/record/152005.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
MLA Handbook (7th Edition):
Baltcheva, Irina. “Mathematical Modeling of T-Cell Experimental Data.” 2010. Web. 12 Dec 2019.
Vancouver:
Baltcheva I. Mathematical Modeling of T-Cell Experimental Data. [Internet] [Thesis]. EPFL; 2010. [cited 2019 Dec 12].
Available from: http://infoscience.epfl.ch/record/152005.
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
Council of Science Editors:
Baltcheva I. Mathematical Modeling of T-Cell Experimental Data. [Thesis]. EPFL; 2010. Available from: http://infoscience.epfl.ch/record/152005
Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
.