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 132 for “"multi-omics"”.
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High-dimensional Mediation Analysis of Multi-Omics Data
… technologies have made mediation analysis of multi-omics data critical to gain groundbreaking insights into the biological mechanisms underlying the disease etiology. This dissertation aims to develop mediation analysis methods that utilize the enormous amount of multi-omics data in assessing …
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Elucidating the Multi-omics of Early-Onset Colorectal Cancer
… identify potential causes, we investigated the multi-omics of the EOCRC. Mutational signatures are the footprints of endogenous or exogenous exposomal exposures.</p> <p>In the first study, we focused on early-onset rectal cancer (EORC) where the epidemiologic changes are the most concerning. …
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Revealing the Mechanisms of Tumorigenesis Through Multi-Omics Analyses
… scales. Advances in research have revealed a multifaceted etiology of tumorigenesis, extending from just hallmark oncogenic mutations to include large-scale genomic alterations, transcriptomic dysregulation, epigenetic reprogramming, and external influences such as environmental carcinogens …
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Characterization of cancer and aging using multi-omics data
노화는 암을 포함한 많은 질병의 원인이 된다. 인간의 다양한 조직으로부터 추출한 DNA 메틸값을 이용해 실제 나이를 예측할 수 있다. 이는 DNA 메틸화가 노화의 지표가 될 수 있다는 의미이기도 하다. 하지만, 여러 조직의 정상과 종양 샘플의 많은 데이터 셋을 통합하여 노화 관련 DNA 메틸화 영역의 특징에 대해 밝힌 연구는 아직 많이 없는 실정이다. 본 연구에서는 16개 독립적인 연구의 DNA메틸화 및 유전자 발현 데이터를 통합하여 말초 혈액뿐만 아니라 유방, 자궁경부, 전립선, 뇌, 간, 대장 조직 등 다양한 조직의 대략 …
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A Multi-omics Study of Human Mitochondrial Proteins During Neurogenesis
… published studies. Taken together, the multi-omics methods and computational strategies I have established in this study provided not only new insights of mitochondrial biology, but also a systems biology research focus to leverage the deluge of omics data. The findings from this study …
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Decoding Human T Cell Immunity With Single-Cell Multi-Omics
… human adaptive immunity through single-cell omics by jointly analysing T cell gene expression and T cell receptor (TCR) sequence modalities. Across several longitudinal infectious disease studies, I identify transient T cell states after infection and link these phenotypes with specific TCR …
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Discovery of multi-omics biomarkers for toxicity using meta-analysis
… & class assignment 23 1. Building of toxicogenomics database using gene expression from integrated studies 23 2. Toxicity class assignments 24 3. Correlations and levels of compound toxicity in multiple organs 26 4. Distribution of sample toxicity levels across compounds 28 B. Biomarker …
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Integrative multi-omics dissection of cancer cell states and susceptibility
… identity and survival programs revealed through multi-omics approaches.
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Multi-omics Data Integration for Identifying Disease Specific Biological Pathways
… been continuously acquired. The springing up omics data sets such as proteomics has facilitated the investigation on disease relevant pathways. Although much work has previously been done to explore the single omics data, little work has been reported using multi-omics data integration, mainly …
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MULTI-OMICS PROFILING DECODES BACE2-DEPENDENT METABOLIC REWIRING IN METASTATIC MELANOMA
… and metabolic adaptation. By combining proteomics, metabolomics, and LiP-MS within an integrative R-based analytical framework, we characterized metabolic alterations dependent on BACE2 activity. Our results reveal that BACE2 functions as a regulator of lipid uptake by modulating the shedding …
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Multi-omics Investigation into Alzheimer's Disease: Functional Mechanism and Early Detection
Alzheimer’s disease (AD), a multi-factorial and highly heritable condition, stands as the foremost contributor to dementia. Despite its early discovery and extensive studies, the underlying pathogenesis of AD remains incomplete. This thesis addresses critical aspects of AD through multi-omics …
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Non-linear Multi Omics Data Integration Method Using Conditional Variational Autoencoders
… have enabled the study of diseases through multi-omics data, which combines information from genome, epigenome, transcriptome, proteome, and metabolome levels. Unlike single-omics approaches that provide limited insights, multi-omics integration offers a comprehensive understanding of …
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Generalization of kernel machine methods for association testing of multi-omics data
… of trait etiology. Studies utilizing omics, including transcriptomics, proteomics, metabolomics, etc, are gaining popularity, and, used in conjunction with genomics, may aid in providing insight into complex trait etiology and disease pathogenesis. To fully harness the availability of …
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Resolving Intra-Tumoral Heterogeneity of Breast Cancer Using Single-Cell Multi-Omics
… in cancer biology. Here, we leverage single-cell multi-omics technologies to dissect the cell states and gene expression programs underlying breast cancer heterogeneity, with a focus on triple-negative breast cancer (TNBC) and estrogen receptor-positive (ER+) breast cancer.</p> <p>In the first …
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Understanding Gene Regulation In Development And Differentiation Using Single Cell Multi-Omics
… and pharynx adopt their terminal fates; 2) multilineage priming contributes to the differentiation of sister cells at dozens of lineage branches; and 3) most distinct lineages that produce the same anatomical cell type converge to a homogenous transcriptomic state. Next, I studied the …
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Statistical methods for the integrative analysis of single-cell multi-omics data
… Recently, technological advances have enabled multiple biological layers to be probed in parallel one cell at a time, unveiling a powerful approach for investigating multiple dimensions of cellular heterogeneity. However, the increasing availability of multi-modal data sets needs to be …
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Applying multi-omics to detect indolent and aggressive early-stage lung adenocarcinoma
… disease. Here, we leveraged two approaches, radiomics and transcriptomics, to enhance prognostication and treatment planning for stage I LUAD. First, we validated an existing radiomic biomarker, the score indicative of lung cancer aggression (SILA), in surgically resected stage I LUAD (n=161) …
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Multi-omics characterisation of mouse gastrulation and organogenesis at single-cell resolution
… we used the image-based single-cell transcriptomics method, seqFISH, to precisely measure the mRNA abundance of 387 carefully selected target genes in mouse embryos. Therefore, I developed a new cell segmentation strategy and performed seqFISH on E8.5 mouse embryo tissue sections to …
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Inferring effective cancer combination therapies using network-based multi-omics data integration
… Furthermore, I integrated cell line-specific multi-omics data to model differential drug responses. In Chapter 4, I described the linear regression pipeline and outcome of biomarker analyses and pinpointed specific combination therapy-associated robust biomarkers which improved efficacy over …
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