Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 301 for “"Single-Cell RNA Sequencing"”.
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Quantifying expression variability in single-cell RNA sequencing data
Transcriptional noise is an intrinsic feature of cell populations and plays a driving role in mammalian development, tissue homoeostasis and immune function. While expression heterogeneity, a phenotypic readout of transcriptional noise, has been broadly studied in prokaryotic model systems or by …
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Studying early development using droplet single-cell RNA sequencing
… organisms, each individual derives from a single fertilised ovum. This process of development is characterised by an increase in cell number and a diversification of the various cell types that are present. Development has been extensively studied not only to understand how cells commit to …
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Alternative splicing and single-cell RNA-sequencing: a feasibility assessment
… how isoform choice is regulated in individual cells for most spliced genes. In theory, single-cell RNA-sequencing (scRNA-seq) could enable us to investigate isoform choice at cellular resolution. Therefore, scRNA-seq could give insight into the fundamental molecular biology process of how …
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Methods for Dissecting High Dimensional Single Cell RNA Sequencing Data
Since first being described in 2009 [ 1], single cell RNA sequencing (scRNA-seq) has rapidly advanced into a staple for interrogating cellular identity in heterogeneous populations. Researchers routinely capture transcriptome-wide snapshots of thousands or even millions of individual cells. From …
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Novel Techniques for Single-cell RNA Sequencing Data Imputation and Clustering
Advances in single-cell technologies have shifted genomics research from the analysis of bulk tissues toward a comprehensive characterization of individual cells. These cutting-edge approaches enable the in-depth analysis of individual cells, unveiling the remarkable heterogeneity and complexity of …
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Delineating metastasis in MSS colorectal cancer by single - cell RNA sequencing
… after metastases. In this study, we used single-cell RNA transcriptome sequencing to characterize the cellular and molecular features of primary CRC and colorectal liver metastases (CRLM). Analysis of 130 samples revealed significant heterogeneity in the tumor microenvironment (TME) …
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The design and statistical analysis of single-cell RNA-sequencing experiments
<p>Next-generation DNA- and RNA-sequencing (RNA-seq) technologies have expanded rapidly in both throughput and accuracy within the last decade. The momentum continues as emerging techniques become increasingly capable of profiling molecular content at the level of individual cells. One goal of this …
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Single Cell RNA Sequencing Data Analysis and Applications in Caenorhabditis Elegans Embryo Development
Single cell RNA sequencing (hereinafter “scRNA-seq”) has become a routine assay in molecular biological research, allowing in-depth assessments of individual cell transcriptome. Here, we used scRNA-seq datasets to study the global cellular communications in the Caenorhabditis elegans (hereinafter …
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Deciphering Leukaemogenic Mechanisms through System-Scale Analysis of Single-Cell RNA Sequencing Data
Haematopoietic stem cells are responsible for producing and sustaining the diverse array of cell types present in the adult blood system. This complex process requires the strict regulation of haematopoietic fate decisions and differentiation trajectories in order to maintain a healthy state. …
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Machine Learning Methods for Single Cell RNA-Sequencing Data to Improve Clinical Oncology
Single-cell RNA sequencing (scRNA-seq) offers a detailed view of the cellular and phenotypic composition of healthy and diseased tissues. While machine learning (ML) methods are well-suited for the high-dimensional nature of scRNA-seq data, current computational tools face limitations, particularly …
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Sample multiplexing methods through lipid nanoparticle labels and applications in single-cell RNA sequencing
Submission published under a 24 month embargo labeled 'U of I Access', the embargo will last until 2026-12-01
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Statistical methods for testing differential gene expression in bulk and single-cell RNA sequencing data
The transcriptome is the complete set of RNA molecules in biological samples, and they are primarily invariant in different tissues and cells of the same individual. Studying the transcriptome enables understanding of the genome function in response to biological or experimental factors, such as …
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Developmental Single-Cell RNA Sequencing in the Sea Urchin Species Lytechinus variegatus and Heliocidaris erythrogramma
<p>The process by which a single cell develops into a complex multicellular organism with specified cell types and well-defined cellular roles is not completely understood, and the evolution of that process is even more enigmatic. In sea urchin embryos, cell fate specification and differentiation …
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Studying Myeloid Cell Heterogeneity After Spinal Cord Injury via Time-Resolved Single-Cell RNA Sequencing
… resident microglia and infiltrating myeloid cells. However, the precise role of these myeloid cell subsets remains unclear as upon crossing the blood-spinal cord barrier (BSCB), infiltrating monocyte-derived macrophages may take on the morphology of microglia, and upregulate canonical …
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Recovery of T cell receptor variable sequences from 3' barcoded single-cell RNA sequencing libraries
… techniques, including flow cytometry, RNA-seq, and mass spectrometry, to decipher the immune underpinnings of various diseases such as cancer and autoimmune disorders. In recent years, high-throughput single-cell RNA sequencing (scRNA-seq) has gained popularity among immunologists due …
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Using single-cell RNA sequencing to elucidate the biological basis of IBD and response to therapy
… to anti-TNF treatment over time. In this thesis, single-cell RNA sequencing (scRNA-seq) was utilised to understand the biological basis of IBD and response to anti-TNF therapy. The first project utilised peripheral blood mononuclear cells (PBMCs) to investigate the effects of IBD-associated …
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Using single cell RNA sequencing to assess immunological responses in quails injected with porcine circovirus-like particles
… transcriptome of peripheral blood mononuclear cells (PBMCs). Such information is poorly researched in these birds and can provide helpful information for future studies. This study aimed at using porcine circovirus type 2 (PCV-2) to assess the evolution of the immune response of quails using …
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Parameter Estimation for Normally Distributed Grouped Data and Clustering Single-Cell RNA Sequencing Data via the Expectation-Maximization Algorithm
… a novel model-based clustering approach for single-cell RNA sequencing data. In biology, cells can be distinguished by their phenotype, such as size and shape, or at the molecular level, based on their genome, epigenome, and transcriptome. In this thesis, we focus on the transcriptome, which …
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The Malleability of Gene Regulation in Healthy Individuals: Analyzing CRISPR-based Screens with Single-Cell RNA-Sequencing Readout across Genetic Backgrounds
… was hope that traits could be explained by a single, causal variant driving a genetic condition, this is only rarely the case, with the majority of traits driven by the aggregation of common, low-effect variants causing changes in gene regulation. Most puzzlingly, even where there is a clear …
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