{"id":{"repo_id":"cape-town","oai_identifier":"oai:open.uct.ac.za:11427/3377"},"canonical_url":"https://search.dev.ndltd.org/etd/cape-town/oai:open.uct.ac.za:11427/3377","repository":{"repo_id":"cape-town","name":"University of Cape Town","base_url":"https://open.uct.ac.za/oai/request"},"display":{"title":"The transciptomic landscape of HIV-TB","abstract":"The thesis consists of four main parts. In Part 1 of this thesis I provide a broad overview of HIVTB with an emphasis on systems approaches followed by an overview of a systems-level study aiming at addressing hypotheses relating to transcriptional differences in active tuberculosis and HIV-1 infection, measured in blood and the site of disease in tuberculous pericarditis. The final chapter in this part describes the methods used to generate and analyse the systems-level data, with emphasis on microarray data generation and analysis. Part 2 first presents analysis of transcriptional data generated by RT-PCR at the site of disease compared to blood in study subjects with tuberculous pericarditis, with results showing clear evidence of transcriptional differences between compartments. A Technical Results chapter then provides an overview of the microarray data, and an analytic paradigm based on sample embedding in high-dimensional phenotype space is developed. I then assess the overall quality of the dataset and exclude large-scale systematic bias, while comparison of the IMPI-MA data to exiting TBtranscriptomic data shows a close match. Part 2 concludes with a description of a comprehensive analytic framework developed for the IMPI-MA data. Part 3 presents the results of the analytic pipeline as applied to the transcriptional response in blood to active tuberculosis in an HIV-1 uninfected population. A signature of active tuberculosis is described, and deconvolution analysis finds significant NK cell activation in active tuberculosis. Cell-type specific differential expression identifies CD4 T cells, NK cells and neutrophils as the most likely contributors to the overall “signature” of active tuberculosis. Weighted gene co-expression network analysis reveals multiple modules, whose expression is shown to be differentially regulated based on disease category. Part 4 summarises the results of analysing contrasts in three main contexts: tuberculosis, HIV-1 infection and compartment. Two novel results are presented: Firstly, NK cells are shown to be functionally downregulated at the site of disease, suggesting a possible defence mechanism by M. tuberculosis, and secondly, large-scale metabolic pathway dysregulation at the site of disease, possibly favouring M. tuberculosis, is demonstrated. Part 5 concludes the thesis with a summary and outlines future work.","abstract_html":"The thesis consists of four main parts. In Part 1 of this thesis I provide a broad overview of HIVTB with an emphasis on systems approaches followed by an overview of a systems-level study aiming at addressing hypotheses relating to transcriptional differences in active tuberculosis and HIV-1 infection, measured in blood and the site of disease in tuberculous pericarditis. The final chapter in this part describes the methods used to generate and analyse the systems-level data, with emphasis on microarray data generation and analysis. Part 2 first presents analysis of transcriptional data generated by RT-PCR at the site of disease compared to blood in study subjects with tuberculous pericarditis, with results showing clear evidence of transcriptional differences between compartments. A Technical Results chapter then provides an overview of the microarray data, and an analytic paradigm based on sample embedding in high-dimensional phenotype space is developed. I then assess the overall quality of the dataset and exclude large-scale systematic bias, while comparison of the IMPI-MA data to exiting TBtranscriptomic data shows a close match. Part 2 concludes with a description of a comprehensive analytic framework developed for the IMPI-MA data. Part 3 presents the results of the analytic pipeline as applied to the transcriptional response in blood to active tuberculosis in an HIV-1 uninfected population. A signature of active tuberculosis is described, and deconvolution analysis finds significant NK cell activation in active tuberculosis. Cell-type specific differential expression identifies CD4 T cells, NK cells and neutrophils as the most likely contributors to the overall “signature” of active tuberculosis. Weighted gene co-expression network analysis reveals multiple modules, whose expression is shown to be differentially regulated based on disease category. Part 4 summarises the results of analysing contrasts in three main contexts: tuberculosis, HIV-1 infection and compartment. Two novel results are presented: Firstly, NK cells are shown to be functionally downregulated at the site of disease, suggesting a possible defence mechanism by M. tuberculosis, and secondly, large-scale metabolic pathway dysregulation at the site of disease, possibly favouring M. tuberculosis, is demonstrated. Part 5 concludes the thesis with a summary and outlines future work.","abstract_has_math":false,"creators":["Deffur, Armin"],"institution":"Department of Medicine","degree_name":null,"degree_level":null,"degree_discipline":null,"degree_department":null,"school":null,"contributors":[],"advisors":["Mulder, Nicola","Wilkinson, Robert J","Mayosi, Bongani M"],"committee_chairs":[],"committee_members":[],"year":2013,"date_issued":"2013","date_published":"2013","updated_at":"2026-07-22T22:22:58Z","subjects":[],"languages":["eng"],"rights":[],"rights_urls":[],"identifier_entries":[]},"links":{"outbound_url":"http://hdl.handle.net/11427/3377","outbound_label":"Handle","outbound_source":"dc:identifier.uri"},"metadata_groups":[{"id":"people","label":"People","entries":[{"key":"dc:contributor.advisor","label":"Advisor","values":["Mulder, Nicola","Wilkinson, Robert J","Mayosi, Bongani M"]},{"key":"dc:creator","label":"Author","values":["Deffur, Armin"]}]},{"id":"academic_context","label":"Academic Context","entries":[{"key":"dc:date.accessioned","label":"Dc Date Accessioned","values":["2014-07-29T09:03:07Z"]},{"key":"dc:date.available","label":"Dc Date Available","values":["2014-07-29T09:03:07Z"]},{"key":"dc:date.issued","label":"Date","values":["2013"]},{"key":"dc:publisher.department","label":"Dc Publisher Department","values":["Department of Medicine"]},{"key":"dc:publisher.institution","label":"Dc Publisher Institution","values":["University of Cape Town"]},{"key":"dc:type","label":"Dc Type","values":["Doctoral Thesis"]},{"key":"dc:type.qualificationlevel","label":"Dc Type Qualificationlevel","values":["Doctoral"]},{"key":"dc:type.qualificationname","label":"Dc Type Qualificationname","values":["Ph D"]}]},{"id":"language_rights","label":"Language and Rights","entries":[{"key":"dc:language.iso","label":"Language (ISO)","values":["eng"]}]},{"id":"identifiers","label":"Identifiers","entries":[{"key":"dc:identifier.uri","label":"Identifier URI","values":["http://hdl.handle.net/11427/3377"]}]},{"id":"additional","label":"Additional Metadata","entries":[{"key":"dc:description","label":"Description","values":["Includes abstract.","Includes bibliographical references."]},{"key":"dc:description.abstract","label":"Abstract","values":["The thesis consists of four main parts. In Part 1 of this thesis I provide a broad overview of HIVTB with an emphasis on systems approaches followed by an overview of a systems-level study aiming at addressing hypotheses relating to transcriptional differences in active tuberculosis and HIV-1 infection, measured in blood and the site of disease in tuberculous pericarditis. The final chapter in this part describes the methods used to generate and analyse the systems-level data, with emphasis on microarray data generation and analysis. Part 2 first presents analysis of transcriptional data generated by RT-PCR at the site of disease compared to blood in study subjects with tuberculous pericarditis, with results showing clear evidence of transcriptional differences between compartments. A Technical Results chapter then provides an overview of the microarray data, and an analytic paradigm based on sample embedding in high-dimensional phenotype space is developed. I then assess the overall quality of the dataset and exclude large-scale systematic bias, while comparison of the IMPI-MA data to exiting TBtranscriptomic data shows a close match. Part 2 concludes with a description of a comprehensive analytic framework developed for the IMPI-MA data. Part 3 presents the results of the analytic pipeline as applied to the transcriptional response in blood to active tuberculosis in an HIV-1 uninfected population. A signature of active tuberculosis is described, and deconvolution analysis finds significant NK cell activation in active tuberculosis. Cell-type specific differential expression identifies CD4 T cells, NK cells and neutrophils as the most likely contributors to the overall “signature” of active tuberculosis. Weighted gene co-expression network analysis reveals multiple modules, whose expression is shown to be differentially regulated based on disease category. Part 4 summarises the results of analysing contrasts in three main contexts: tuberculosis, HIV-1 infection and compartment. Two novel results are presented: Firstly, NK cells are shown to be functionally downregulated at the site of disease, suggesting a possible defence mechanism by M. tuberculosis, and secondly, large-scale metabolic pathway dysregulation at the site of disease, possibly favouring M. tuberculosis, is demonstrated. Part 5 concludes the thesis with a summary and outlines future work."]},{"key":"dc:title","label":"Title","values":["The transciptomic landscape of HIV-TB"]}]}],"canonical_facts":{"dc:contributor.advisor":["Mulder, Nicola","Wilkinson, Robert J","Mayosi, Bongani M"],"dc:creator":["Deffur, Armin"],"dc:date.accessioned":["2014-07-29T09:03:07Z"],"dc:date.available":["2014-07-29T09:03:07Z"],"dc:date.issued":["2013"],"dc:description":["Includes abstract.","Includes bibliographical references."],"dc:description.abstract":["The thesis consists of four main parts. In Part 1 of this thesis I provide a broad overview of HIVTB with an emphasis on systems approaches followed by an overview of a systems-level study aiming at addressing hypotheses relating to transcriptional differences in active tuberculosis and HIV-1 infection, measured in blood and the site of disease in tuberculous pericarditis. The final chapter in this part describes the methods used to generate and analyse the systems-level data, with emphasis on microarray data generation and analysis. Part 2 first presents analysis of transcriptional data generated by RT-PCR at the site of disease compared to blood in study subjects with tuberculous pericarditis, with results showing clear evidence of transcriptional differences between compartments. A Technical Results chapter then provides an overview of the microarray data, and an analytic paradigm based on sample embedding in high-dimensional phenotype space is developed. I then assess the overall quality of the dataset and exclude large-scale systematic bias, while comparison of the IMPI-MA data to exiting TBtranscriptomic data shows a close match. Part 2 concludes with a description of a comprehensive analytic framework developed for the IMPI-MA data. Part 3 presents the results of the analytic pipeline as applied to the transcriptional response in blood to active tuberculosis in an HIV-1 uninfected population. A signature of active tuberculosis is described, and deconvolution analysis finds significant NK cell activation in active tuberculosis. Cell-type specific differential expression identifies CD4 T cells, NK cells and neutrophils as the most likely contributors to the overall “signature” of active tuberculosis. Weighted gene co-expression network analysis reveals multiple modules, whose expression is shown to be differentially regulated based on disease category. Part 4 summarises the results of analysing contrasts in three main contexts: tuberculosis, HIV-1 infection and compartment. Two novel results are presented: Firstly, NK cells are shown to be functionally downregulated at the site of disease, suggesting a possible defence mechanism by M. tuberculosis, and secondly, large-scale metabolic pathway dysregulation at the site of disease, possibly favouring M. tuberculosis, is demonstrated. Part 5 concludes the thesis with a summary and outlines future work."],"dc:identifier.uri":["http://hdl.handle.net/11427/3377"],"dc:language.iso":["eng"],"dc:publisher.department":["Department of Medicine"],"dc:publisher.institution":["University of Cape Town"],"dc:title":["The transciptomic landscape of HIV-TB"],"dc:type":["Doctoral Thesis"],"dc:type.qualificationlevel":["Doctoral"],"dc:type.qualificationname":["Ph D"]},"updated_at":"2026-07-22T22:22:58Z"}