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Understanding T-Cell Receptor Signaling Through Computational Modeling and De-novo Protein Design
Understanding T-Cell Receptor Signaling Through Computational Modeling and De-novo Protein Design
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211151425
- ISBN
- 9798383282915
- DDC
- 610
- 서명/저자
- Understanding T-Cell Receptor Signaling Through Computational Modeling and De-novo Protein Design
- 발행사항
- [Sl] : University of Washington, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 67 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-01, Section: B.
- 주기사항
- Includes supplementary digital materials.
- 주기사항
- Advisor: Baker, David;Kueh, Hao Yuan.
- 학위논문주기
- Thesis (Ph.D.)--University of Washington, 2024.
- 초록/해제
- 요약In order to successfully defend the host from a wide range of pathogens and cancer, T-cells must be able to recognize these threats while ignoring healthy tissues. If T-cell threat recognition is not properly calibrated, pathologies such as autoimmunity or immune deficiency can arise. The mechanisms that control T-cell recognition and activation can be broadly divided into two categories: the structural mechanism by which T-cell receptors (TCRs) can bind specifically to foreign peptides presented on the major histocompatibility complex (pMHC) but not self-pMHCs, and the biochemical mechanism by which TCR binding events are translated into T-cell activation. Here, I describe two projects that are together focused on developing tools and models to better understand each of these critical aspects of T-cell function. First, I developed a de-novo designed stabilizing domain which allows MHCs to be expressed solubly in E. coli, allowing much faster and easier production of pMHC reagents for a variety of applications in the study of pMHC-TCR interactions. Second, I developed a model of early T-cell signaling steps which explains several important aspects of TCR signaling through the clustering dynamics of signaling molecules. In combination, these two projects provide important tools and insights in the study of T-cell antigen recognition and selectivity.
- 일반주제명
- Bioengineering
- 일반주제명
- Biochemistry
- 일반주제명
- Immunology
- 일반주제명
- Microbiology
- 일반주제명
- Cellular biology
- 키워드
- Cell signaling
- 키워드
- Clustering
- 키워드
- MHC
- 키워드
- Protein design
- 키워드
- Soluble MHC
- 키워드
- T-cell receptor
- 기타저자
- University of Washington Bioengineering
- 기본자료저록
- Dissertations Abstracts International. 86-01B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798383282915
■035 ▼a(MiAaPQ)AAI31294680
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a610
■1001 ▼aWhite, William Louis.
■24510▼aUnderstanding T-Cell Receptor Signaling Through Computational Modeling and De-novo Protein Design
■260 ▼a[Sl]▼bUniversity of Washington▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a67 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-01, Section: B.
■500 ▼aIncludes supplementary digital materials.
■500 ▼aAdvisor: Baker, David;Kueh, Hao Yuan.
■5021 ▼aThesis (Ph.D.)--University of Washington, 2024.
■520 ▼aIn order to successfully defend the host from a wide range of pathogens and cancer, T-cells must be able to recognize these threats while ignoring healthy tissues. If T-cell threat recognition is not properly calibrated, pathologies such as autoimmunity or immune deficiency can arise. The mechanisms that control T-cell recognition and activation can be broadly divided into two categories: the structural mechanism by which T-cell receptors (TCRs) can bind specifically to foreign peptides presented on the major histocompatibility complex (pMHC) but not self-pMHCs, and the biochemical mechanism by which TCR binding events are translated into T-cell activation. Here, I describe two projects that are together focused on developing tools and models to better understand each of these critical aspects of T-cell function. First, I developed a de-novo designed stabilizing domain which allows MHCs to be expressed solubly in E. coli, allowing much faster and easier production of pMHC reagents for a variety of applications in the study of pMHC-TCR interactions. Second, I developed a model of early T-cell signaling steps which explains several important aspects of TCR signaling through the clustering dynamics of signaling molecules. In combination, these two projects provide important tools and insights in the study of T-cell antigen recognition and selectivity.
■590 ▼aSchool code: 0250.
■650 4▼aBioengineering
■650 4▼aBiochemistry
■650 4▼aImmunology
■650 4▼aMicrobiology
■650 4▼aCellular biology
■653 ▼aCell signaling
■653 ▼aClustering
■653 ▼aMHC
■653 ▼aProtein design
■653 ▼aSoluble MHC
■653 ▼aT-cell receptor
■690 ▼a0202
■690 ▼a0487
■690 ▼a0982
■690 ▼a0379
■690 ▼a0410
■71020▼aUniversity of Washington▼bBioengineering.
■7730 ▼tDissertations Abstracts International▼g86-01B.
■790 ▼a0250
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161648▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
