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Multi-Modal Analyses for the Identification of Immune Characteristics in Viral Infections and Associated Human Disease
Multi-Modal Analyses for the Identification of Immune Characteristics in Viral Infections and Associated Human Disease
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103136
- ISBN
- 9798311963190
- DDC
- 579.256
- 저자명
- Toh, Jia Ying.
- 서명/저자
- Multi-Modal Analyses for the Identification of Immune Characteristics in Viral Infections and Associated Human Disease
- 발행사항
- [Sl] : Stanford University, 2023
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2023
- 형태사항
- 197 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Khatri, Purvesh;Martinez, Olivia.
- 학위논문주기
- Thesis (Ph.D.)--Stanford University, 2023.
- 초록/해제
- 요약Viruses are ubiquitous pathogens responsible for a substantial disease burden globally. Refining our strategies in managing viral infections and their related pathologies requires us to have a comprehensive understanding of the host response in these diseases. Here, we identify immunological elements evoked in viral infections and associated host-virus interactions, focusing on two contrasting aspects: emerging viral infections, and lymphoid malignancies causally linked to the oncogenic Epstein-Barr virus (EBV), an ancient human pathogen. Our group has repeatedly shown that integrating heterogeneous data cohorts yields biological findings that are more consistently generalizable to downstream therapeutic applications. Firstly, we applied this integrated multi-cohort analysis framework in a disease context where our understanding is still lacking, as a tool for robust discovery to instruct further multi-omics studies for the elucidation of immune features characteristic to EBV(+) and EBV(-) B cell lymphomas. We identified gene signatures that implicate CD300a as a potential therapeutic target and provide evidence for the manipulation of the tumor microenvironment by EBV(+) B cell lymphomas. Secondly, in the context of emerging infections, we applied our multi-cohort analysis framework to identify conserved elements of the host response to viral infections across 16 different viral pathogens as a stepping stone for the development of a triage strategy to prioritize medical resources to patients more likely to develop severe disease outcomes in the event of another pandemic.
- 일반주제명
- Epstein-Barr virus
- 일반주제명
- Infectious diseases
- 일반주제명
- Zika virus
- 일반주제명
- Viral infections
- 일반주제명
- Pandemics
- 일반주제명
- Epidemics
- 일반주제명
- COVID-19
- 일반주제명
- Epidemiology
- 일반주제명
- Immunology
- 일반주제명
- Virology
- 기타저자
- Stanford University.
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■0820 ▼a579.256
■1001 ▼aToh, Jia Ying.
■24510▼aMulti-Modal Analyses for the Identification of Immune Characteristics in Viral Infections and Associated Human Disease
■260 ▼a[Sl]▼bStanford University▼c2023
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2023
■300 ▼a197 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Khatri, Purvesh;Martinez, Olivia.
■5021 ▼aThesis (Ph.D.)--Stanford University, 2023.
■520 ▼aViruses are ubiquitous pathogens responsible for a substantial disease burden globally. Refining our strategies in managing viral infections and their related pathologies requires us to have a comprehensive understanding of the host response in these diseases. Here, we identify immunological elements evoked in viral infections and associated host-virus interactions, focusing on two contrasting aspects: emerging viral infections, and lymphoid malignancies causally linked to the oncogenic Epstein-Barr virus (EBV), an ancient human pathogen. Our group has repeatedly shown that integrating heterogeneous data cohorts yields biological findings that are more consistently generalizable to downstream therapeutic applications. Firstly, we applied this integrated multi-cohort analysis framework in a disease context where our understanding is still lacking, as a tool for robust discovery to instruct further multi-omics studies for the elucidation of immune features characteristic to EBV(+) and EBV(-) B cell lymphomas. We identified gene signatures that implicate CD300a as a potential therapeutic target and provide evidence for the manipulation of the tumor microenvironment by EBV(+) B cell lymphomas. Secondly, in the context of emerging infections, we applied our multi-cohort analysis framework to identify conserved elements of the host response to viral infections across 16 different viral pathogens as a stepping stone for the development of a triage strategy to prioritize medical resources to patients more likely to develop severe disease outcomes in the event of another pandemic.
■590 ▼aSchool code: 0212.
■650 4▼aEpstein-Barr virus
■650 4▼aInfectious diseases
■650 4▼aZika virus
■650 4▼aViral infections
■650 4▼aPandemics
■650 4▼aEpidemics
■650 4▼aCOVID-19
■650 4▼aEpidemiology
■650 4▼aImmunology
■650 4▼aVirology
■690 ▼a0720
■690 ▼a0982
■690 ▼a0766
■71020▼aStanford University.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0212
■791 ▼aPh.D.
■792 ▼a2023
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357133▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
