ArticleJournal of proteome research2011
Hexapeptide libraries for enhanced protein PTM identification and relative abundance profiling in whole human saliva.
Article in Journal of proteome research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 49 citations in OpenAlex.
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- Integrated glycomics strategy for the evaluation of glycosylation alterations in salivary proteins associated with type 2 diabetes mellitus.RSC advances · 2020Article
- Agonists of Orally Expressed TRP Channels Stimulate Salivary Secretion and Modify the Salivary Proteome.Molecular & cellular proteomics : MCP · 2020Article
- Mapping human N-linked glycoproteins and glycosylation sites using mass spectrometry.Trends in analytical chemistry : TRAC · 2019Article
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- Salivary Glycopatterns as Potential Biomarkers for Screening of Early-Stage Breast Cancer.EBioMedicine · 2018Article
- Influence of different sample preparation strategies on the proteomic identification of stress biomarkers in porcine saliva.BMC veterinary research · 2017Article
- Avian influenza virus infection risk in humans with chronic diseases.Scientific reports · 2015Article
- Mass spectrometry-based analyses showing the effects of secretor and blood group status on salivary N-glycosylation.Clinical proteomics · 2015Article
- Salivary proteomics in bisphosphonate-related osteonecrosis of the jaw.Oral diseases · 2015Article
- Analysis of age and gender associated N-glycoproteome in human whole saliva.Clinical proteomics · 2014Article
- Salivary biomarkers associated with myocardial necrosis: results from an alcohol septal ablation model.Oral surgery, oral medicine, oral pathology and oral radiology · 2012Article
- Oral fluids that detect cardiovascular disease biomarkers.Oral surgery, oral medicine, oral pathology and oral radiology · 2012Article
- Characterization of the human submandibular/sublingual saliva glycoproteome using lectin affinity chromatography coupled to multidimensional protein identification technology.Journal of proteome research · 2011Article
- Improvements in proteomic metrics of low abundance proteins through proteome equalization using ProteoMiner prior to MudPIT.Journal of proteome research · 2011Article
- Large-scale phosphoproteomics analysis of whole saliva reveals a distinct phosphorylation pattern.Journal of proteome research · 2011Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
Dynamic range compression (DRC) by hexapeptide libraries increases MS/MS-based identification of lower-abundance proteins in complex mixtures. However, two unanswered questions impede fully realizing DRC's potential in shotgun proteomics. First, does DRC enhance identification of post-translationally modified proteins? Second, can DRC be incorporated into a workflow enabling relative protein abundance profiling? We sought to answer both questions analyzing human whole saliva. Addressing question one, we coupled DRC with covalent glycopeptide enrichment and MS/MS. With DRC we identified ∼2 times more N-linked glycoproteins and their glycosylation sites than without DRC, dramatically increasing the known salivary glycoprotein catalog. Addressing question two, we compared differentially stable isotope-labeled saliva samples pooled from healthy and metastatic breast cancer women using a multidimensional peptide fractionation-based workflow, analyzing in parallel one sample portion with DRC and one portion without. Our workflow categorizes proteins with higher absolute abundance, whose relative abundance ratios are altered by DRC, from proteins of lower absolute abundance detected only after DRC. Within each of these salivary protein categories, we identified novel abundance changes putatively associated with breast cancer, demonstrating feasibility and benefits of DRC for relative abundance profiling. Collectively, our results bring us closer to realizing the full potential of DRC for proteomic studies.
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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.