ArticleMolecular & cellular proteomics : MCP2015
Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.
Article in Molecular & cellular proteomics : MCP, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
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Who cites it
40 citing papers in PubMed.
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- Prediction of Biomarkers for Hepatocellular Carcinoma Based on Proteomics and Phosphoproteomics.International journal of general medicine · 2026Article
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- Alzheimer's disease early diagnostic and staging biomarkers revealed by large-scale cerebrospinal fluid and serum proteomic profiling.Innovation (Cambridge (Mass.)) · 2024Article
- AZGP1 as a potential biomarker of IgA vasculitis with nephritis in a children‑based urinary proteomics study by diaPASEF.Molecular medicine reports · 2023Article
- Osteopontin depletion in macrophages perturbs proteostasisFrontiers in immunology · 2023Article
- Protein Contaminants Matter: Building Universal Protein Contaminant Libraries for DDA and DIA Proteomics.Journal of proteome research · 2022Article
- Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework.GigaScience · 2022Article
- Glycoprotein 96 in Peritoneal Dialysis Effluent-Derived Extracellular Vesicles: A Tool for Evaluating Peritoneal Transport Properties and Inflammatory Status.Frontiers in immunology · 2022Article
- Article
- Surveying the Vampire Bat (Journal of proteome research · 2021Article
- Assessing technical and biological variation in SWATH-MS-based proteomic analysis of chronic lymphocytic leukaemia cells.Scientific reports · 2021Article
- SWATH-MS Protocols in Human Diseases.Methods in molecular biology (Clifton, N.J.) · 2021Article
- Standardization and harmonization of distributed multi-center proteotype analysis supporting precision medicine studies.Nature communications · 2020Article
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10 authors.
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Abstract
Accurate knowledge of retention time (RT) in liquid chromatography-based mass spectrometry data facilitates peptide identification, quantification, and multiplexing in targeted and discovery-based workflows. Retention time prediction is particularly important for peptide analysis in emerging data-independent acquisition (DIA) experiments such as SWATH-MS. The indexed RT approach, iRT, uses synthetic spiked-in peptide standards (SiRT) to set RT to a unit-less scale, allowing for normalization of peptide RT between different samples and chromatographic set-ups. The obligatory use of SiRTs can be costly and complicates comparisons and data integration if standards are not included in every sample. Reliance on SiRTs also prevents the inclusion of archived mass spectrometry data for generation of the peptide assay libraries central to targeted DIA-MS data analysis. We have identified a set of peptide sequences that are conserved across most eukaryotic species, termed Common internal Retention Time standards (CiRT). In a series of tests to support the appropriateness of the CiRT-based method, we show: (1) the CiRT peptides normalized RT in human, yeast, and mouse cell lysate derived peptide assay libraries and enabled merging of archived libraries for expanded DIA-MS quantitative applications; (2) CiRTs predicted RT in SWATH-MS data within a 2-min margin of error for the majority of peptides; and (3) normalization of RT using the CiRT peptides enabled the accurate SWATH-MS-based quantification of 340 synthetic isotopically labeled peptides that were spiked into either human or yeast cell lysate. To automate and facilitate the use of these CiRT peptide lists or other custom user-defined internal RT reference peptides in DIA workflows, an algorithm was designed to automatically select a high-quality subset of datapoints for robust linear alignment of RT for use. Implementations of this algorithm are available for the OpenSWATH and Skyline platforms. Thus, CiRT peptides can be used alone or as a complement to SiRTs for RT normalization across peptide spectral libraries and in quantitative DIA-MS studies.
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