Intact mass detection, interpretation, and visualization to automate Top-Down proteomics on a large scale
- Title
- Intact mass detection, interpretation, and visualization to automate Top-Down proteomics on a large scale
- Authors
- Kenneth R. Durbin; John C. Tran; Leonid Zamdborg; Steve M. M. Sweet; Adam D. Catherman; 이지은; Mingxi Li; John F. Kellie; Neil L. Kelleher
- Keywords
- Bioinformatics; Data reduction; Deconvolution; Intact protein; Tandem MS; Top down
- Issue Date
- 2010-10
- Publisher
- Proteomics
- Citation
- VOL 10, NO 20, 3589-3597
- Abstract
- Applying high-throughput Top-Down MS to an entire proteome requires a yet-to-be-established
model for data processing. Since Top-Down is becoming possible on a large scale, we
report our latest software pipeline dedicated to capturing the full value of intact protein data
in automated fashion. For intact mass detection, we combine algorithms for processing MS1
data from both isotopically resolved (FT) and charge-state resolved (ion trap) LC-MS data,
which are then linked to their fragment ions for database searching using ProSight. Automated
determination of human keratin and tubulin isoforms is one result. Optimized for the
intricacies of whole proteins, new software modules visualize proteome-scale data based on
the LC retention time and intensity of intact masses and enable selective detection of PTMs to
automatically screen for acetylation, phosphorylation, and methylation. Software functionality
was demonstrated using comparative LC-MS data from yeast strains in addition to human
cells undergoing chemical stress. We further these advances as a key aspect of realizing Top-
Down MS on a proteomic scale.
- URI
- https://pubs.kist.re.kr/handle/201004/38606
- ISSN
- 1615-9853
- Appears in Collections:
- KIST Publication > Article
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