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Advancing Aptamers for Personalized Medicine and Health and Wellness Applications
Advancing Aptamers for Personalized Medicine and Health and Wellness Applications
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202103627
- ISBN
- 9798315781240
- DDC
- 540
- 서명/저자
- Advancing Aptamers for Personalized Medicine and Health and Wellness Applications
- 발행사항
- [Sl] : University of California, Los Angeles, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 269 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-12, Section: B.
- 주기사항
- Advisor: Andrews, Anne M.
- 학위논문주기
- Thesis (Ph.D.)--University of California, Los Angeles, 2025.
- 초록/해제
- 요약Our research group developed an innovative biosensing approach that couples single-stranded DNA aptamers with thin-film indium oxide field-effect transistors (FETs). The rearrangement of aptamer anionic backbones upon target binding alters FET transconductance, enabling direct, label-free sensing of charged and neutral small-molecule targets at low concentrations across many orders of magnitude. We aim to monitor real-time signaling molecules in and on the body to decode stress and anxiety responses and track female ovulatory hormones. To achieve this, I investigated the structural motifs of a family of serotonin aptamers to discern features of aptamer structures important for molecular recognition and FET biosensing. I created wearable sensors for female reproductive hormones, including steroid (estradiol, progesterone) and peptide (luteinizing hormone) targets. These sensors detect hormones across physiological concentration ranges in artificial human sweat and are applicable for fertility monitoring and cycle syncing. I used a solution-phase SELEX method, coupled with a novel high-throughput secondary structure determination algorithm and machine learning developed by collaborators, to cluster large numbers of sequences from SELEX. This approach identified high-affinity, high-selectivity aptamers for norepinephrine from low-count sequence populations. These aptamers will be coupled with FETs for acute monitoring of sympathetic nervous system activation via a wearable patch accessing sweat as the measured biofluid. This work is part of a project focused on synchronized neuronal and peripheral biomarker recordings in freely moving humans. Together, these projects advance aptamers for biosensing in personalized medicine and health and wellness applications.
- 일반주제명
- Chemistry
- 일반주제명
- Bioinformatics
- 일반주제명
- Biochemistry
- 일반주제명
- Endocrinology
- 키워드
- Aptamers
- 키워드
- Biosensing
- 키워드
- Norepinephrine
- 기타저자
- University of California, Los Angeles Chemistry 0153
- 기본자료저록
- Dissertations Abstracts International. 86-12B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798315781240
■035 ▼a(MiAaPQ)AAI32046526
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a540
■1001 ▼aMitchell, Noelle Marie.
■24510▼aAdvancing Aptamers for Personalized Medicine and Health and Wellness Applications
■260 ▼a[Sl]▼bUniversity of California, Los Angeles▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a269 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-12, Section: B.
■500 ▼aAdvisor: Andrews, Anne M.
■5021 ▼aThesis (Ph.D.)--University of California, Los Angeles, 2025.
■520 ▼aOur research group developed an innovative biosensing approach that couples single-stranded DNA aptamers with thin-film indium oxide field-effect transistors (FETs). The rearrangement of aptamer anionic backbones upon target binding alters FET transconductance, enabling direct, label-free sensing of charged and neutral small-molecule targets at low concentrations across many orders of magnitude. We aim to monitor real-time signaling molecules in and on the body to decode stress and anxiety responses and track female ovulatory hormones. To achieve this, I investigated the structural motifs of a family of serotonin aptamers to discern features of aptamer structures important for molecular recognition and FET biosensing. I created wearable sensors for female reproductive hormones, including steroid (estradiol, progesterone) and peptide (luteinizing hormone) targets. These sensors detect hormones across physiological concentration ranges in artificial human sweat and are applicable for fertility monitoring and cycle syncing. I used a solution-phase SELEX method, coupled with a novel high-throughput secondary structure determination algorithm and machine learning developed by collaborators, to cluster large numbers of sequences from SELEX. This approach identified high-affinity, high-selectivity aptamers for norepinephrine from low-count sequence populations. These aptamers will be coupled with FETs for acute monitoring of sympathetic nervous system activation via a wearable patch accessing sweat as the measured biofluid. This work is part of a project focused on synchronized neuronal and peripheral biomarker recordings in freely moving humans. Together, these projects advance aptamers for biosensing in personalized medicine and health and wellness applications.
■590 ▼aSchool code: 0031.
■650 4▼aChemistry
■650 4▼aBioinformatics
■650 4▼aBiochemistry
■650 4▼aEndocrinology
■653 ▼aAptamers
■653 ▼aBiosensing
■653 ▼aField-effect transistors
■653 ▼aReproductive hormones
■653 ▼aNorepinephrine
■690 ▼a0485
■690 ▼a0487
■690 ▼a0409
■690 ▼a0715
■71020▼aUniversity of California, Los Angeles▼bChemistry 0153.
■7730 ▼tDissertations Abstracts International▼g86-12B.
■790 ▼a0031
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17357988▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
