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Elucidating the Crustacean Neuropeptidome Through Innovative Multiplexed Data-Independent Acquisition Mass Spectrometry and Bioinformatics Approaches
Elucidating the Crustacean Neuropeptidome Through Innovative Multiplexed Data-Independent Acquisition Mass Spectrometry and Bioinformatics Approaches
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105646
- ISBN
- 9798270247645
- DDC
- 543
- 저자명
- Fields, Lauren.
- 서명/저자
- Elucidating the Crustacean Neuropeptidome Through Innovative Multiplexed Data-Independent Acquisition Mass Spectrometry and Bioinformatics Approaches
- 발행사항
- [Sl] : The University of Wisconsin - Madison, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 1462 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-06, Section: B.
- 주기사항
- Advisor: Li, Lingjun.
- 학위논문주기
- Thesis (Ph.D.)--The University of Wisconsin - Madison, 2025.
- 초록/해제
- 요약Neuropeptides are critical signaling molecules that regulate diverse physiological processes, representing a rich resource for biomarker and therapeutic discovery. However, these biomolecules pose analytical challenges that, until now, have been difficult to mitigate, ranging from challenges in detection, quantification, and characterization. In response, we have systematically developed a pipeline grounded in mass spectrometry (MS) innovation to improve analysis, integrating data-independent acquisition for improved detection, isobaric labeling for streamlined quantification, and genomics-guided in silico prediction to expand the neuropeptidome search space. Through this, we have generated two novel software platforms, EndoGenius and MotifQuest. EndoGenius strategically exploits conserved peptide motifs to improve the identification of neuropeptides from MS datasets, while MotifQuest simultaneously parses neuropeptide databases to identify conservation patterns globally. To further drive the area of neuropeptidomics, we developed a web-based tool, cNPDB, documenting neuropeptide structural dynamics, physical properties, and supporting literature. Armed with an end-to-end pipeline for expanded neuropeptidome characterization, we evaluated the neuropeptidome response to feeding in crustacea, a system homologous to that found in vertebrates, identifying novel neuropeptides, characterizing unexplored post-translational modifications, and establishing new synergy between neuropeptides in response to these biological changes.
- 일반주제명
- Analytical chemistry
- 일반주제명
- Neurosciences
- 일반주제명
- Physiology
- 일반주제명
- Bioinformatics
- 키워드
- Crustacean
- 키워드
- Invertebrate
- 키워드
- Neurobiology
- 키워드
- Neuropeptide
- 키워드
- Proteomics
- 기타저자
- The University of Wisconsin - Madison Chemistry
- 기본자료저록
- Dissertations Abstracts International. 87-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798270247645
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■0820 ▼a543
■1001 ▼aFields, Lauren.
■24510▼aElucidating the Crustacean Neuropeptidome Through Innovative Multiplexed Data-Independent Acquisition Mass Spectrometry and Bioinformatics Approaches
■260 ▼a[Sl]▼bThe University of Wisconsin - Madison▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a1462 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-06, Section: B.
■500 ▼aAdvisor: Li, Lingjun.
■5021 ▼aThesis (Ph.D.)--The University of Wisconsin - Madison, 2025.
■520 ▼aNeuropeptides are critical signaling molecules that regulate diverse physiological processes, representing a rich resource for biomarker and therapeutic discovery. However, these biomolecules pose analytical challenges that, until now, have been difficult to mitigate, ranging from challenges in detection, quantification, and characterization. In response, we have systematically developed a pipeline grounded in mass spectrometry (MS) innovation to improve analysis, integrating data-independent acquisition for improved detection, isobaric labeling for streamlined quantification, and genomics-guided in silico prediction to expand the neuropeptidome search space. Through this, we have generated two novel software platforms, EndoGenius and MotifQuest. EndoGenius strategically exploits conserved peptide motifs to improve the identification of neuropeptides from MS datasets, while MotifQuest simultaneously parses neuropeptide databases to identify conservation patterns globally. To further drive the area of neuropeptidomics, we developed a web-based tool, cNPDB, documenting neuropeptide structural dynamics, physical properties, and supporting literature. Armed with an end-to-end pipeline for expanded neuropeptidome characterization, we evaluated the neuropeptidome response to feeding in crustacea, a system homologous to that found in vertebrates, identifying novel neuropeptides, characterizing unexplored post-translational modifications, and establishing new synergy between neuropeptides in response to these biological changes.
■590 ▼aSchool code: 0262.
■650 4▼aAnalytical chemistry
■650 4▼aNeurosciences
■650 4▼aPhysiology
■650 4▼aBioinformatics
■653 ▼aCrustacean
■653 ▼aInvertebrate
■653 ▼aMass spectrometry
■653 ▼aNeurobiology
■653 ▼aNeuropeptide
■653 ▼aProteomics
■690 ▼a0486
■690 ▼a0317
■690 ▼a0715
■690 ▼a0719
■71020▼aThe University of Wisconsin - Madison▼bChemistry.
■7730 ▼tDissertations Abstracts International▼g87-06B.
■790 ▼a0262
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360978▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
