ArticleJournal of the American Society for Mass Spectrometry2010
Targeted 18O-labeling for improved proteomic analysis of carbonylated peptides by mass spectrometry.
Article in Journal of the American Society for Mass Spectrometry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Coupling 193 nm Ultraviolet Photodissociation and Ion Mobility for Sequence Characterization of Conformationally-Selected Peptides.Journal of the American Society for Mass Spectrometry · 2020Article
- Site-selective solid phase synthesis of carbonylated peptides.Amino acids · 2015Article
- Redox proteomics in selected neurodegenerative disorders: from its infancy to future applications.Antioxidants & redox signaling · 2012Review
- Protein targets for carbonylation by 4-hydroxy-2-nonenal in rat liver mitochondria.Journal of proteomics · 2011Article
- To tag or not to tag: a comparative evaluation of immunoaffinity-labeling and tandem mass spectrometry for the identification and localization of posttranslational protein carbonylation by 4-hydroxy-2-nonenal, an end-product of lipid peroxidation.Journal of proteomics · 2011Article
- A filtered database search algorithm for endogenous serum protein carbonyl modifications in a mouse model of inflammation.Molecular & cellular proteomics : MCP · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Proteomic characterization of carbonylated amino acid sites currently relies on confidently matching tandem mass spectra (MS(2)) to peptides within a sequence database. Although effective to some degree, reliable proteomic characterization of carbonylated peptides using this approach remains a challenge needing new, complementary solutions. To this end, we developed a method based on partial (18)O-labeling of reactive carbonyl modifications, which produces a unique isotope signature in mass spectra of carbonylated peptides and enables their detection without reliance on matching MS(2) spectra to a peptide sequence. Key to our method were optimized measures for eliminating trypsin-catalyzed incorporation of (18)O at peptide C-termini, and for stabilizing the incorporated (18)O within the carbonyl modification to prevent its loss during liquid chromatography separation. Applying our method to a rat skeletal muscle homogenate treated with the carbonyl modification 4-hyroxynonenal (4-HNE), we demonstrated its compatibility with solid-phase hydrazide enrichment of carbonylated peptides from complex mixtures. Additionally, we demonstrated the value of (18)O isotope signatures for confirming HNE-modified peptide sequences matched via sequence database searching, and identifying modified peptides missed by MS(2) and/or sequence database searching. Combining our (18)O-labeling method with a customized automated software script, we systematically evaluated for the first time the efficiency of MS(2) and sequence database searching for identifying HNE-modified peptides. We estimated that less than half of the modified peptides selected for MS(2) were successfully identified. Collectively, our method and software should provide valuable new tools for investigators studying protein carbonylation via mass spectrometry-based proteomics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.