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학술발표회초록보기

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  • 09월 10일 16시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제124회 대한화학회 학술발표회, 총회 및 기기전시회 안내 Utilizing accurate precursor mass information from MS data for interpreting data-independent acquisition(DIA) mass spectrometry significantly improves peptide identification

등록일
2019년 8월 29일 16시 39분 00초
접수번호
1880
발표코드
ANAL.P-167 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
10월 18일 (금요일) 11:00~12:30
발표형식
포스터
발표분야
Analytical Chemistry
저자 및
공동저자
Dowoon Nam, Hokeun Kim1, Jingi Bae1, Sang-Won Lee1,*
Korea University, Korea
1Department of Chemistry, Korea University, Korea
Data-independent acquisition (DIA) has emerged as a promising strategy largely owing to developments in advanced mass spectrometers and sophisticated data analysis methods. However, DIA produces highly complex multiplexed tandem MS spectra which makes it difficult to interpret. Here, we present a novel strategy to analyze DIA data, based on unambiguous precursor mass assignment through the mPE-MMR (multiplexed post-experimental monoisotopic mass refinement) procedure, and combined with complementary multi-stage database searching. Compared to conventional spectral library searching, the accuracy and sensitivity of peptide identification were significantly increased by incorporating precise precursor masses in DIA data. We demonstrate identification of additional peptides ab-sent from spectral libraries, including sample-specific mutated peptides and post-translationally-modified peptides using MS-GF+ and MODa/MODi multi-stage database searching. This novel strategy shows considerable potential for interpreting DIA data and further exploited by adopting methods that support to obtain high-dynamic range of MS data.

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