Modelling Cell Orientation In Artificial Tissues

Engineered tissues have many potential applications both as experimental systems and in therapeutic devices and treatments. Specially, there is potential to repair damaged spinal cord, however work is still needed to predict the process of tissue growth. Computational physics has potential to signicantly accelerate the progress of development and to improve the properties of engineered neural tissue (ENT). Research has found that correlation exists between physical forces and the arrangement of cells in engineered tissue. In this thesis, emphasis is put on the interaction between astrocytes within engineered neural tissue (ENT). The main aim of this work is to create a computational model which will be able to predict the arrangement of these cells in ENT. Computational techniques of soft matter physics are used to describe the final growth state of cells in ENT. In this thesis, we treat tissue as a two dimensional mesh. Interactions are described by both a simple Hamiltonian related to cell orientation and the dipole force model (DFM) and a more advanced Hamiltonian, which takes into account the inuence of the extracellular matrix and cells. To find the minimum energy state of the system a simulated annealing algorithm was used. The first set of results presents a two-dimensional map of real articial engineered neural tissue and shows the statistical distribution of the average angles and positions of groups of cells within the tissue. Next, we present results generated by a simple Hamiltonian and more advanced model to investigate information about orientation, arrangement and shape of the whole tissue. It is found that an extended DFM where cells can move and change orientation is able to reproduce several features of the experimental data including an approximation to the delta regions and the aligned behaviour in the centre of the sample

Primer ID Validates Template Sampling Depth and Greatly Reduces the Error Rate of Next-Generation Sequencing of HIV-1 Genomic RNA Populations

ABSTRACT Validating the sampling depth and reducing sequencing errors are critical for studies of viral populations using next-generation sequencing (NGS). We previously described the use of Primer ID to tag each viral RNA template with a block of degenerate nucleotides in the cDNA primer. We now show that low-abundance Primer IDs (offspring Primer IDs) are generated due to PCR/sequencing errors. These artifactual Primer IDs can be removed using a cutoff model for the number of reads required to make a template consensus sequence. We have modeled the fraction of sequences lost due to Primer ID resampling. For a typical sequencing run, less than 10% of the raw reads are lost to offspring Primer ID filtering and resampling. The remaining raw reads are used to correct for PCR resampling and sequencing errors. We also demonstrate that Primer ID reveals bias intrinsic to PCR, especially at low template input or utilization. cDNA synthesis and PCR convert ca. 20% of RNA templates into recoverable sequences, and 30-fold sequence coverage recovers most of these template sequences. We have directly measured the residual error rate to be around 1 in 10,000 nucleotides. We use this error rate and the Poisson distribution to define the cutoff to identify preexisting drug resistance mutations at low abundance in an HIV-infected subject. Collectively, these studies show that >90% of the raw sequence reads can be used to validate template sampling depth and to dramatically reduce the error rate in assessing a genetically diverse viral population using NGS. IMPORTANCE Although next-generation sequencing (NGS) has revolutionized sequencing strategies, it suffers from serious limitations in defining sequence heterogeneity in a genetically diverse population, such as HIV-1 due to PCR resampling and PCR/sequencing errors. The Primer ID approach reveals the true sampling depth and greatly reduces errors. Knowing the sampling depth allows the construction of a model of how to maximize the recovery of sequences from input templates and to reduce resampling of the Primer ID so that appropriate multiplexing can be included in the experimental design. With the defined sampling depth and measured error rate, we are able to assign cutoffs for the accurate detection of minority variants in viral populations. This approach allows the power of NGS to be realized without having to guess about sampling depth or to ignore the problem of PCR resampling, while also being able to correct most of the errors in the data set

Global analysis of genomic instability caused by DNA replication stress in Saccharomyces cerevisiae

One important source of genomic instability associated with tumor cells is DNA replication stress. In the current study, replication stress was induced in yeast by a 10-fold reduction in the level of the replicative DNA polymerase δ. By DNA microarray analysis and high-throughput DNA sequencing, we showed that this stress resulted in very high rates of both large (aneuploidy, mitotic recombination, deletions and duplications, and translocations) and small (point mutations and small insertion/deletions) genetic alterations. Some of these changes resulted in a selective growth advantage of the cells, demonstrating the role of elevated genetic instability in the rapid evolution of cells in challenging growth conditions

Insanity as a Defense to the Civil Fraud Penalty

Most neurological diseases are associated with chronic inflammation initiated by the activation of microglia, which produce cytotoxic and inflammatory factors. Signal transducers and activators of transcription (STATs) are potent regulators of gene expression but contribution of particular STAT to inflammatory gene expression and STAT-dependent transcriptional networks underlying brain inflammation need to be identified. In the present study, we investigated the genomic distribution of Stat binding sites and the role of Stats in the gene expression in lipopolysaccharide (LPS)-activated primary microglial cultures. Integration of chromatin immunoprecipitation-promoter microarray data and transcriptome data revealed novel Stat-target genes including Jmjd3, Ccl5, Ezr, Ifih1, Irf7, Uba7, and Pim1. While knockdown of individual Stat had little effect on the expression of tested genes, knockdown of both Stat1 and Stat3 inhibited the expression of Jmjd3 and inflammatory genes. Transcriptional regulation of Jmjd3 by Stat1 and Stat3 is a novel mechanism crucial for launching inflammatory responses in microglia. The effects of Jmjd3 on inflammatory gene expression were independent of its H3K27me3 demethylase activity. Forced expression of constitutively activated Stat1 and Stat3 induced the expression of Jmjd3, inflammation-related genes, and the production of proinflammatory cytokines as potently as lipopolysacharide. Gene set enrichment and gene function analysis revealed categories linked to the inflammatory response in LPS and Stat1C + Stat3C groups. We defined upstream pathways that activate STATs in response to LPS and demonstrated contribution of Tlr4 and Il-6 and interferon-. signaling. Our findings define novel direct transcriptional targets of Stat1 and Stat3 and highlight their contribution to inflammatory gene expression

The Compact Chromatin Structure of a Ty Repeated Sequence Suppresses Recombination Hotspot Activity in Saccharomyces cerevisiae

Recombination between repeated DNA sequences can have drastic consequences on the integrity of the genome. Repeated sequences are abundant in most eukaryotes, yet the mechanism that prevents recombination between them is currently unknown. Ty elements, the main family of dispersed repeats in Saccharomyces cerevisiae, exhibit low levels of exchange. Other regions in the genome have relatively high rates of meiotic recombination (hotspots). We show that a Ty element adjacent to the HIS4 recombination hotspot substantially reduces its activity, eliminating local DSB formation. We demonstrate that the Ty has a closed (nuclease-insensitive) chromatin configuration that is also imposed on the flanking DNA sequences. The compact chromatin structure is determined by sequences at the N terminus of the Ty. Increased binding of the Rap1 protein to the hotspot restores both open chromatin conformation and DSB formation. The chromatin configuration of Ty elements precludes initiation of recombination, thus preventing potentially lethal exchanges between repeated sequences

Tup1 stabilizes promoter nucleosome positioning and occupancy at transcriptionally plastic genes

Despite technical advances, the future of chromatin mapping studies requires an ability to draw accurate comparisons between different chromatin states to enhance our understanding of genome biology. In this study, we used matched chromatin preparations to enable specific and accurate comparisons of Saccharomyces cerevisiae chromatin structures in the presence and absence of the co-repressor protein Tup1. Analysis of wild-type and tup1 Δ chromatin data sets revealed unique organizational themes relating to the function of Tup1. Regulatory regions bound by Tup1 assumed a distinct chromatin architecture composed of a wide nucleosome-depleted region, low occupancy/poorly positioned promoter nucleosomes, a larger number and wider distribution of transcription factor-binding sites and downstream genes with enhanced transcription plasticity. Regions of Tup1-dependent chromatin structure were defined for the first time across the entire yeast genome and are shown to strongly overlap with activity of the chromatin remodeler Isw2. Additionally, Tup1-dependent chromatin structures are shown to relate to distinct biological processes and transcriptional states of regulated genes, including Tup1 stabilization of Minus 1 and Minus 2 promoter nucleosomes at actively repressed genes. Together these results help to enhance our mechanistic understanding of Tup1 regulation of chromatin structure and gene expression

Unisexual Reproduction Drives Meiotic Recombination and Phenotypic and Karyotypic Plasticity in Cryptococcus neoformans

In fungi, unisexual reproduction, where sexual development is initiated without the presence of two compatible mating type alleles, has been observed in several species that can also undergo traditional bisexual reproduction, including the important human fungal pathogens Cryptococcus neoformans and Candida albicans. While unisexual reproduction has been well characterized qualitatively, detailed quantifications are still lacking for aspects of this process, such as the frequency of recombination during unisexual reproduction, and how this compares with bisexual reproduction. Here, we analyzed meiotic recombination during α-α unisexual and a-α bisexual reproduction of C. neoformans. We found that meiotic recombination operates in a similar fashion during both modes of sexual reproduction. Specifically, we observed that in α-α unisexual reproduction, the numbers of crossovers along the chromosomes during meiosis, recombination frequencies at specific chromosomal regions, as well as meiotic recombination hot and cold spots, are all similar to those observed during a-α bisexual reproduction. The similarity in meiosis is also reflected by the fact that phenotypic segregation among progeny collected from the two modes of sexual reproduction is also similar, with transgressive segregation being observed in both. Additionally, we found diploid meiotic progeny were also produced at similar frequencies in the two modes of sexual reproduction, and transient chromosomal loss and duplication likely occurs frequently and results in aneuploidy and loss of heterozygosity that can span entire chromosomes. Furthermore, in both α-α unisexual and a-α bisexual reproduction, we observed biased allele inheritance in regions on chromosome 4, suggesting the presence of fragile chromosomal regions that might be vulnerable to mitotic recombination. Interestingly, we also observed a crossover event that occurred within the MAT locus during α-α unisexual reproduction. Our results provide definitive evidence that α-α unisexual reproduction is a meiotic process similar to a-α bisexual reproduction

Genome-wide maps of alkylation damage, repair, and mutagenesis in yeast reveal mechanisms of mutational heterogeneity

DNA base damage is an important contributor to genome instability, but how the formation and repair of these lesions is affected by the genomic landscape and contributes to mutagenesis is unknown. Here, we describe genome-wide maps of DNA base damage, repair, and mutagenesis at single nucleotide resolution in yeast treated with the alkylating agent methyl methanesulfonate (MMS). Analysis of these maps revealed that base excision repair (BER) of alkylation damage is significantly modulated by chromatin, with faster repair in nucleosome-depleted regions, and slower repair and higher mutation density within strongly positioned nucleosomes. Both the translational and rotational settings of lesions within nucleosomes significantly influence BER efficiency; moreover, this effect is asymmetric relative to the nucleosome dyad axis and is regulated by histone modifications. Our data also indicate that MMS-induced mutations at adenine nucleotides are significantly enriched on the nontranscribed strand (NTS) of yeast genes, particularly in BER-deficient strains, due to higher damage formation on the NTS and transcription-coupled repair of the transcribed strand (TS). These findings reveal the influence of chromatin on repair and mutagenesis of base lesions on a genome-wide scale and suggest a novel mechanism for transcription-associated mutation asymmetry, which is frequently observed in human cancers