Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 192-225). Also available on the Internet.

Thesis (Ph. D.)--University of Missouri-Columbia, 2002. / Typescript. Vita. Includes bibliographical references (leaves 192-225). Also available on the Internet.

Thesis (Ph. D.)--University of Chicago, Department of Chemistry, December 2002. / Includes bibliographical references. Also available on the Internet.

Thesis (Ph. D.)--University of Oregon, 2006. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 71-82). Also available for download via the World Wide Web; free to University of Oregon users.

Thesis (Ph. D.)--University of Hong Kong, 2005. / Title proper from title frame. Also available in printed format.

Thesis (Ph. D.)--University of Oregon, 2006. / Typescript. Includes vita and abstract. Includes bibliographical references (leaves 80-91). Also available for download via the World Wide Web; free to University of Oregon users.

Bibliography: leaves 152-223. Experiments were designed to identify and purify human bone marrow stromal precursor cells by positive immunoselection, based on the cell surface expression of the VCAM-1 and STRO-1 antigens. The data presented demonstrates a hierarchy of bone cell development in vitro.

Thesis (Ph. D.)--University of Nevada, Reno, 2008. / "May, 2008." Includes bibliographical references. Online version available on the World Wide Web.

Thesis (MSc)--Stellenbosch University, 2015. / ENGLISH ABSTRACT: The use of non-Saccharomyces yeasts together with the yeast S. cerevisiae in multistarter wine fermentations has emerged as a useful tool to modulate wine aroma and/or to decrease the concentration of undesirable compounds. However, upon inoculation, these yeast species do not co-exist passively, but interact in various ways. While competition for nutrients and the excretion of killer toxins in an antagonistic relationship are obvious and well established types of interactions, some studies have suggested the existence of other forms of cellular or molecular interactions. One of these includes physical cell-cell contact and to our knowledge, only one previous study has confirmed its existence in wine yeasts. Yeast interactions are also influenced by other factors, such as ethanol concentration, however some studies have highlighted the role that dissolved oxygen plays on the survival of non-Saccharomyces yeasts and their ability to compete for space with S. cerevisiae and little research has focused on this. This study aimed to investigate the occurrence of a physical cell-cell and/or metabolic interaction between S. cerevisiae and L. thermotolerans in mixed culture fermentations of synthetic grape must. For this purpose, fermentations in a Double Compartment Bioreactor (DCB) which separates yeast population through the use of a membrane were compared to mixed fermentations in the absence of the membrane, using the same reactor. Furthermore, the impact of oxygen supply on yeast behaviour was also assessed. Following mixed culture fermentations in a DCB, it was observed that the presence of S. cerevisiae led to a significant decline in viability in L. thermotolerans. This decline was significantly less prominent in mixed cultures where the cells were in indirect contact. Together, the data provided evidence for both cell-cell and metabolic interactions whereby S. cerevisiae had a strong negative influence on the growth of L. thermotolerans. However, it was also observed that L. thermotolerans had some negative impact on the growth of S. cerevisiae, leading to a reduction in biomass (when in indirect contact) and a reduced maximum CFU/mL compared to pure cultures. The data also suggest that direct physical contact may increase the production of glycerol and propanol, but this needs further investigation. By decreasing the frequency at which oxygen pulses were provided, a reduction in biomass and increase in fermentation duration was observed for all fermentations. However, this effect was somewhat reduced in mixed cultures. Here, no impact on fermentation duration was observed and the decrease in biomass was less compared to pure cultures. The impact of these oxygen pulses was also greater on L. thermotolerans. In the latter yeast’s pure culture a slight increase in glycerol was observed when less oxygen was provided and in general there appeared to be no impact on acetic acid production. Furthermore, there was little or no impact on volatile production, however, more repeats might reveal different results and therefore more research is needed to confirm these results. To our knowledge, this is the first study of its kind to confirm a physical cell-cell interaction between the yeast pair S. cerevisiae and L. thermotolerans. / AFRIKAANSE OPSOMMING: Die gebruik van nie-Saccharomyces gis saam met die gis S. cerevisiae in multi-inokuleringskulture het die afgelope paar jaar as n goeie hulpmiddel na vore gekom om wyn aroma te moduleer en/of om die konsentrasie van ongewensde verbindings te verminder. Sodra inokulasie plaasgevind het, het hierdie gis die potensiaal om op verskeie maniere teenoor mekaar te reageer. Kompetisie vir nutriente en die afskeiding van toksiese verbindings in n antagonistiese verhouding is alreeds goed beskryf in die literatuur. Somige studies het, alhoewel, die bestaan van ander vorme van sellulêre of molekulêre interaksies voorgestel. Een van hierdie sluit in n fisiese sell-sell interaksie en so ver as wat ons kennis strek, het nog net een studie van tevore so ‘n interaksie bevestig tussen wyn giste. Gis interaksies word ook beïnvloed deur ander faktore, soos byvoorbeeld etanol konsentrasie. Terwyl sommige studies die rol wat opgelosde suurstof speel in die oorlewing van nie-Saccharomyces gis en hulle vermoë om te kompeteer vir spasie met S. cerevisiae alreeds beklemtoon, het min navorsing al hierop gefokus. Hierdie studie het gestreef om die voorkoms van n fisiese sell-sell en/of metaboliese interaksie tussen S. cerevisie en L. thermotolerans in gemengde kultuur fermentasies van sintetiese druiwe sap te ondersoek. Vir hierdie doeleinde was fermentasies uitgevoer met behulp van ‘n Dubbel Kompartement Bioreaktor (DKB) wat gis populasies skei deur middel van ‘n membraan en hierdie was vergelyk met gemengde kultuur fermentasies sonder die membraan in dieselfde reaktor sisteem. Verder was die impak van suurstof toevoer op gis gedrag ook geassesseer. Na afloop van gemengde kultuur fermentasies in ‘n DKB, was daar waargeneem dat die teenwoordigheid van S. cerevisiae gelei het tot ‘n betekenisvolle afname in lewensvatbaarheid in L. thermotolerans. Hierdie afname was aansienlik minder in gemengde kulture waar die gis in indirekte kontak was. Saam verskaf hierdie data bewyse vir n sell-sell asook metaboliese interaksie waardeur S. cerevisiae ‘n sterk, negatiewe invloed op die groei van L. thermotolerans gehad het. Daar was egter ook waargeneem dat L. thermotolerans tot ‘n mindere mate ‘n negatiewe impak op die groei van S. cerevisiae gehad het en dat dit gelei het tot ‘n verlaging in biomassa (toe die gis in indirekte kontak was) en ‘n verlaagde maksimum CFU/mL in vergelyking met suiwer kulture. Die data dui ook aan dat fisiese kontak kon gelei het tot ‘n verhoging in gliserol en propanol produksie, maar hierdie kort verdere ondersoek. Deur die frekwensie te verminder waardeur suurstof pulse aan die fermentasies verskaf was, was ‘n verlaging in biomassa produksie en ‘n verlenging in fermentasie tydperk waargeneem. Hierdie tendense was waargeneem in almal, behalwe die gemengde kultuur fermentasies. Die effek van suurstof puls verlaging was minder op hierdie fermentasies aangesien daar geen impak op fermentasie tydperk was nie en die verlaging in biomassa minder was. Die impak van hierdie suurstof pulse was ook groter op L. thermotolerans. ‘n Klein toename in gliserol produksie was waargeneem in laasgenoemde gis se suiwer kultuur toe minder suurstof beskikbaar was en oor die algemeen was asynsuur onveranderd. Verder was daar ‘n klein of geen impak op vlugtige verbindings nie, alhoewel, meer herhalings mag verskillende resultate lewer en daarom is meer navorsing nodig om hierde resultate te bevestig. So ver as wat ons kennis strek is hierdie die eerste studie van sy soort om ‘n fisiese sell-sell interaksie tussen die gispaar S. cerevisiae en L. thermotolerans te bevestig.

A complex system is a collection of parts, that can be identical or different, that interact with each other and environment, and exhibit emergent behaviour. Here, I consider the formation of vascular structures in the body as a complex system consisting of an emergent pattern in interacting endothelial cells. A cancer tumour is a different but related complex system that contains various types of cells, some of which having cancer-inducing mutations. To understand the formation of a vascular structure or a cancer tumour, it is important to understand both the single cells and cell-cell interactions. To study the physical interaction among cells in vascular formation or cancer cell growth, in this thesis an agent-based model is built based on the physical properties of cells which includes the size, shape, direction, and position of cells. In this way the mathematical equations in the model can show the physical variation among modelled cells. The 3-dimensional shape of cells is modelled, and so while I start with cell interactions in petri-dish the model can be easily extended to describe motility of cells in a 3-dimensional system in the future. The physical model is implemented and then simulated with in silico experiments, and then the spatial distribution of cells in in vitro experiments is analysed and used to calibrate the model. In vitro experiments with and without a drug in normal and hypoxic conditions are carried out. Also the patterns formed by cells with different treatment are analysed to produce different parameter combinations in the model. This physical model is shown to be able to predict vessel formation and be reused to predict the spatial distribution of cancer cells in in vitro growth experiments. With biological data such as cell size, cell shape, etc. this model is able to predict behaviours of various cell types, and can also be used to predict more complex phenomena, such as mixed type of cancer cells growing in 3-dimensions with vascular structures.