ArticleNature methods2014
Drift time-specific collision energies enable deep-coverage data-independent acquisition proteomics.
Article in Nature methods, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 231 papers.
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Who cites it
231 citing papers in PubMed, 484 citations in OpenAlex.
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- Postnatal Mouse Brain Region-Resolved Peptidomic Resource of Conditional Ndel1 Loss: Comparison of Acidic and Alcoholic Extraction Strategies.Journal of neurochemistry · 2025Article
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- The pentose phosphate pathway is essential for the resistance of Gluconacetobacter diazotrophicus PAL5 to zinc.World journal of microbiology & biotechnology · 2025Article
- Psidium Defenses Against Meloidogyne enterolobii: Proteomic and Microscopic Analysis of this Plant-Predator Association.Proteomics · 2025Article
- Screening of Protein Carbonylation Sites in Human Serum by Ion Mobility Mass Spectrometry.Journal of proteome research · 2025Article
- TRIM24 regulates chromatin remodeling and calcium dynamics in cardiomyocytes.Cell communication and signaling : CCS · 2025Article
171 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We present a data-independent acquisition mass spectrometry method, ultradefinition (UD) MS(E). This approach utilizes ion mobility drift time-specific collision-energy profiles to enhance precursor fragmentation efficiency over current MS(E) and high-definition (HD) MS(E) data-independent acquisition techniques. UDMS(E) provided high reproducibility and substantially improved proteome coverage of the HeLa cell proteome compared to previous implementations of MS(E), and it also outperformed a state-of-the-art data-dependent acquisition workflow. Additionally, we report a software tool, ISOQuant, for processing label-free quantitative UDMS(E) data.
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