ArticleMolecular & cellular proteomics : MCP2011
Profiling Cys34 adducts of human serum albumin by fixed-step selected reaction monitoring.
Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 64 citations in OpenAlex.
- Use of Human Serum Albumin CysAntioxidants (Basel, Switzerland) · 2026Review
- Multi-adductomics: Advancing mass spectrometry techniques for comprehensive exposome characterization.Trends in analytical chemistry : TRAC · 2024Article
- Overview of Adductomics in Toxicology.Current protocols · 2023Article
- Quo vadis blood protein adductomics?Archives of toxicology · 2022Review
- Article
- Lipid peroxidation derived reactive carbonyl species in free and conjugated forms as an index of lipid peroxidation: limits and perspectives.Redox biology · 2021Article
- Human Serum Albumin Cys34 Adducts in Newborn Dried Blood Spots: Associations With Air Pollution Exposure During Pregnancy.Frontiers in public health · 2021Article
- Characterizing Adduct Formation of Electrophilic Skin Allergens with Human Serum Albumin and Hemoglobin.Chemical research in toxicology · 2020Article
- Mode of action-based risk assessment of genotoxic carcinogens.Archives of toxicology · 2020Review
- Serum albumin cysteine trioxidation is a potential oxidative stress biomarker of type 2 diabetes mellitus.Scientific reports · 2020Observational
- Cys34 Adductomics Links Colorectal Cancer with the Gut Microbiota and Redox Biology.Cancer research · 2019Article
- Review
- Protein Adductomics: Methodologies for Untargeted Screening of Adducts to Serum Albumin and Hemoglobin in Human Blood Samples.High-throughput · 2019Review
- Detection and Characterization of Catechol Quinone-Derived Protein Adducts Using Biomolecular Mass Spectrometry.Frontiers in chemistry · 2019Review
- Adductomic signatures of benzene exposure provide insights into cancer induction.Carcinogenesis · 2018Article
- EXPOsOMICS: final policy workshop and stakeholder consultation.BMC public health · 2018Article
- Refinement of a Methodology for Untargeted Detection of Serum Albumin Adducts in Human Populations.Chemical research in toxicology · 2017Article
- The Saliva Exposome for Monitoring of Individuals' Health Trajectories.Environmental health perspectives · 2017Article
- Biomonitoring Human Albumin Adducts: The Past, the Present, and the Future.Chemical research in toxicology · 2017Article
- Adductomics Pipeline for Untargeted Analysis of Modifications to Cys34 of Human Serum Albumin.Analytical chemistry · 2016Article
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Authors and funding
7 authors at 2 institutions in 1 country.
Funding
Abstract
A method is described for profiling putative adducts (or other unknown covalent modifications) at the Cys34 locus of human serum albumin (HSA), which represents the preferred reaction site for small electrophilic species in human serum. By comparing profiles of putative HSA-Cys34 adducts across populations of interest it is theoretically possible to explore environmental causes of degenerative diseases and cancer caused by both exogenous and endogenous chemicals. We report a novel application of selected-reaction-monitoring (SRM) mass spectrometry, termed fixed-step SRM (FS-SRM), that allows detection of essentially all HSA-Cys34 modifications over a specified range of mass increases (added masses). After tryptic digestion, HSA-Cys34 adducts are contained in the third largest peptide (T3), which contains 21 amino acids and an average mass of 2433.87 Da. The FS-SRM method does not require that exact masses of T3 adducts be known in advance but rather uses a theoretical list of T3-adduct m/z values separated by a fixed increment of 1.5. In terms of added masses, each triply charged parent ion represents a bin of ±2.3 Da between 9.1 Da and 351.1 Da. Synthetic T3 adducts were used to optimize FS-SRM and to establish screening rules based upon selected b- and y-series fragment ions. An isotopically labeled T3 adduct is added to protein digests to facilitate quantification of putative adducts. We used FS-SRM to generate putative adduct profiles from six archived specimens of HSA that had been pooled by gender, race, and smoking status. An average of 66 putative adduct hits (out of a possible 77) were detected in these samples. Putative adducts covered a wide range of concentrations, were most abundant in the mass range below 100 Da, and were more abundant in smokers than in nonsmokers. With minor modifications, the FS-SRM methodology can be applied to other nucleophilic sites and proteins.
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