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Optical sorting and photo-transfection of mammalian cellsMthunzi, Patience January 2010 (has links)
Recently, laser light sources of different regimes have emerged as an essential tool in the biophotonics research area. Classic applications include, for example: manipulating single cells and their subcellular organelles, sorting cells in microfluidic channels and the cytoplasmic delivery of both genetic and non-genetic matter of varying sizes into mammalian cells. In this thesis several new findings specifically in the optical cell sorting as well as in the photo-transfection study fields are presented. In my optical cell sorting and guiding investigations, a new technique for enhancing the dielectric contrast of mammalian cells, which is a result of cells naturally engulfing polymer microspheres from their environment, is introduced. I explore how these intracellular dielectric tags influence the scattering and gradient forces upon these cells from an externally applied optical field. I show that intracellular polymer microspheres can serve as highly directional optical scatterers and that the scattering force can enable sorting through axial guiding onto laminin coated glass coverslips upon which the selected cells adhere. Following this, I report on transient photo-transfection of mammalian cells including neuroblastomas (rat/mouse and human), embryonic kidney, Chinese hamster ovary as well as pluripotent stem cells using a tightly focused titanium sapphire femtosecond pulsed laser beam spot. These investigations permitted advanced biological studies in femtosecond laser transfection: firstly, the influence of cell passage number on the transfection efficiency; secondly, the possibility to enhance the transfection efficiency via whole culture treatments of cells thereby, synchronizing them at the mitotic (M phase) as well as the synthesis phases (S phase) of the cell cycle; thirdly, this methodology can activate the up-regulation of the protective heat shock protein 70 (hsp70). Finally, I show that this novel technology can also be used to transfect mouse embryonic stem (mES) cell colonies and the ability of differentiating these cells into the extraembryonic endoderm.
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Investigation of the structure and dynamics of the centromeric epigenetic markPadeganeh, Abbas 04 1900 (has links)
Le centromère est le site chromosomal où le kinetochore se forme, afin d’assurer une ségrégation fidèles des chromosomes et ainsi maintenir la ploïdie appropriée lors de la mitose. L’identité du centromere est héritée par un mécanisme épigénétique impliquant une variante de l’histone H3 nommée centromere protein-A (CENP-A), qui remplace l’histone H3 au niveau de la chromatine du centromère. Des erreurs de propagation de la chromatine du centromère peuvent mener à des problèmes de ségrégation des chromosomes, pouvant entraîner l’aneuploïdie, un phénomène fréquemment observé dans le cancer. De plus, une expression non-régulée de CENP-A a aussi été rapportée dans différentes tumeurs humaines. Ainsi, plusieurs études ont cherchées à élucider la structure et le rôle de la chromatine contenant CENP-A dans des cellules en prolifération. Toutefois, la nature moléculaire de CENP-A en tant que marqueur épigénétique ainsi que ces dynamiques à l'extérieur du cycle cellulaire demeurent des sujets débat.
Dans cette thèse, une nouvelle méthode de comptage de molécules uniques à l'aide de la microscopie à réflexion totale interne de la fluorescence (TIRF) sera décrite, puis exploitée afin d'élucider la composition moléculaire des nucléosomes contenant CENP-A, extraits de cellules en prolifération. Nous démontrons que les nucléosomes contenant CENP-A marquent les centromères humains de façon épigénétique à travers le cycle cellulaire. De plus, nos données démontrent que la forme prénucléosomale de CENP-A, en association avec la protéine chaperon HJURP existe sous forme de monomère et de dimère, ce qui reflète une étape intermédiaire de l'assemblage de nucléosomes contenant CENP-A.
Ensuite, des analyses quantitatives de centromères lors de différenciation myogénique, et dans différents tissus adultes révèlent des changements globaux qui maintiennent la marque épigénétique dans une forme inactive suite à la différentiation terminale. Ces changements incluent une réduction du nombre de points focaux de CENP-A, un réarrangement des points dans le noyau, ainsi qu'une réduction importante de la quantité de CENP-A. De plus, nous démontrons que lorsqu'une dédifférenciation cellulaire est induite puis le cycle cellulaire ré-entamé, le phénotype "différencié" décrit ci-haut est récupéré, et les centromères reprennent leur phénotype "prolifératif".
En somme, cet oeuvre décrit la composition structurale sous-jacente à l'identité épigénétique des centromères de cellules humaines lors du cycle cellulaire, et met en lumière le rôle de CENP-A à l'extérieur du cycle cellulaire. / The centromere is a unique chromosomal locus where the kinetochore is formed to mediate faithful chromosome partitioning, thus maintaining ploidy during cell division. Centromere identity is inherited via an epigenetic mechanism involving a histone H3 variant, called centromere protein-A (CENP-A) which replaces histone H3 in centromeric chromatin. Defects in the centromeric chromatin can lead to missegregation of chromosomes resulting in aneuploidy, a ¬¬frequently observed phenomenon in cancer. Moreover, deregulated CENP-A expression has also been documented in a number of human malignancies. Therefore, much effort has been devoted to uncover the structure and role of CENP-A-containing chromatin in proliferating cells. However, the molecular nature of this epigenetic mark and its potential dynamics during and outside the cell cycle remains controversial.
In this thesis, the development of a novel single-molecule imaging approach based on total internal reflection fluorescence and the use of this assay to gain quantitative information about the molecular composition of CENP-A-containing nucleosomes extracted from proliferating cells throughout the cell cycle as well as the dynamics and cellular fate of CENP-A chromatin in terminal differentiation are described.
Here, we show that octameric CENP-A nucleosomes containing core Histones H2B and H4 epigenetically mark human centromeres throughout the cell cycle. Moreover, our data demonstrate that the prenucleosomal form of CENP-A bound by the chaperone HJURP transits between monomeric and dimeric forms likely reflecting intermediate steps in CENP-A nucleosomal assembly.
Moreover, quantitative analyses of centromeres in myogenic differentiation and adult mouse tissue sections revealed that centromeres undergo global changes in order to retain a minimal CENP-A epigenetic code in an inactive state, upon induction of terminal differentiation. These include a robust decrease in the number of centromeric foci, subnuclear rearrangement as well as extensive loss of CENP-A protein. Interestingly, we show that forced dedifferentiation under cell cycle reentry permissive conditions, rescued the above-mentioned phenotype concomitantly with the restoration of cell division.
Altogether, this work delineates the structural basis for the epigenetic specification of human centromeres during the cell cycle and sheds light on the cellular fate of the CENP-A epigenetic code outside the cell cycle.
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Electric Stimuli as Instructive Cues to Guide Cellular Differentiation on Electrically Conductive Biomaterial Substrates in vitroGreeshma, T January 2015 (has links) (PDF)
Directing differential cellular response by manipulating the physical characteristics of the material is regarded as a key challenge in biomaterial implant design and tissue engineering. In developing various biomaterials, the influence of substrate properties, like surface topography, stiffness and wettability on the cell functionality has been investigated widely. However, such study to probe into the influence of substrate conductivity on cell fate processes is rather limited. The need for such an understanding is based on the fact that specific tissues in the body are electrically active in nature, such as in brain, heart and skeletal muscle. These tissues make use of electrical conductivity as an effective cue for tissue homeostasis, development, regeneration and so on. Moreover, understanding the importance of underlying conductivity in basic biological processes is essential in developing electrically conductive biomaterials with the ability to simulate normal electrophysiology of the body by interfacing with bioelectric fields in cells and tissues. Electrical stimulation and charge conduction can regulate numerous intracellular signalling pathways, can interact with cytoskeleton proteins to modulate the morphology, increase protein synthesis and on the more can favor the ECM protein conformational changes. On these grounds, the present dissertation illustrates that persistent electrical activation influences the multipotency of hMSCs and acts like a promoter towards selective differentiation of hMSCs into neural/cardiomyogenic or osteogenic lineage. Besides, continual exposure to electric field stimulated conducting culture environments lead to growth arrest while enhancing differentiation. In total, this dissertation suggests the dominant role of conductivity in inducing my oblast differentiation and hMSc lineage commitment that involves EF stimulated in vitro culture conditions. Also, a knowledge base with qualitative and quantitative understanding of stem cells and their response to substrate physical properties and external field effect was developed through this comprehensive study. Such an improved understanding of the ability of hMSCs in sensing electrical conductivity may lead to the development of culture additives/conditions that better induce directed stem cell differentiation.
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Mitochondrial ROS direct the differentiation of murine pluripotent P19 cellsPashkovskaia, Natalia, Gey, Uta, Rödel, Gerhard 13 December 2018 (has links)
ROS are frequently associated with deleterious effects caused by oxidative stress. Despite the harmful effects of non-specific oxidation, ROS also function as signal transduction molecules that regulate various biological processes, including stem cell proliferation and differentiation. Here we show that mitochondrial ROS level determines cell fate during differentiation of the pluripotent stem cell line P19. As stem cells in general, P19 cells are characterized by a low respiration activity, accompanied by a low level of ROS formation. Nevertheless, we found that P19 cells contain fully assembled mitochondrial electron transport chain supercomplexes (respirasomes), suggesting that low respiration activity may serve as a protective mechanism against ROS. Upon elevated mitochondrial ROS formation, the proliferative potential of P19 cells is decreased due to longer S phase of the cell cycle. Our data show that besides being harmful, mitochondrial ROS production regulates the differentiation potential of P19 cells: elevated mitochondrial ROS level favours trophoblast differentiation, whereas preventing neuron differentiation. Therefore, our results suggest that mitochondrial ROS level serves as an important factor that directs differentiation towards certain cell types while preventing others.
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The requirement of Smad4 in Mouse Early Embryonic DevelopmentGuo, Jiami 26 July 2012 (has links)
No description available.
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Analysis and Reconstruction of the Hematopoietic Stem Cell Differentiation Tree: A Linear Programming Approach for Gene SelectionGhadie, Mohamed A. January 2015 (has links)
Stem cells differentiate through an organized hierarchy of intermediate cell types to terminally differentiated cell types. This process is largely guided by master transcriptional regulators, but it also depends on the expression of many other types of genes. The discrete cell types in the differentiation hierarchy are often identified based on the expression or non-expression of certain marker genes. Historically, these have often been various cell-surface proteins, which are fairly easy to assay biochemically but are not necessarily causative of the cell type, in the sense of being master transcriptional regulators. This raises important questions about how gene expression across the whole genome controls or reflects cell state, and in particular, differentiation hierarchies. Traditional approaches to understanding gene expression patterns across multiple conditions, such as principal components analysis or K-means clustering, can group cell types based on gene expression, but they do so without knowledge of the differentiation hierarchy. Hierarchical clustering and maximization of parsimony can organize the cell types into a tree, but in general this tree is different from the differentiation hierarchy. Using hematopoietic differentiation as an example, we demonstrate how many genes other than marker genes are able to discriminate between different branches of the differentiation tree by proposing two models for detecting genes that are up-regulated or down-regulated in distinct lineages. We then propose a novel approach to solving the following problem: Given the differentiation hierarchy and gene expression data at each node, construct a weighted Euclidean distance metric such that the minimum spanning tree with respect to that metric is precisely the given differentiation hierarchy. We provide a set of linear constraints that are provably sufficient for the desired construction and a linear programming framework to identify sparse sets of weights, effectively identifying genes that are most relevant for discriminating different parts of the tree. We apply our method to microarray gene expression data describing 38 cell types in the hematopoiesis hierarchy, constructing a sparse weighted Euclidean metric that uses just 175 genes. These 175 genes are different than the marker genes that were used to identify the 38 cell types, hence offering a novel alternative way of discriminating different branches of the tree. A DAVID functional annotation analysis shows that the 175 genes reflect major processes and pathways active in different parts of the tree. However, we find that there are many alternative sets of weights that satisfy the linear constraints. Thus, in the style of random-forest training, we also construct metrics based on random subsets of the genes and compare them to the metric of 175 genes. Our results show that the 175 genes frequently appear in the random metrics, implicating their significance from an empirical point of view as well. Finally, we show how our linear programming method is able to identify columns that were selected to build minimum spanning trees on the nodes of random variable-size matrices.
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