ArticleBMC bioinformatics2012
Statistical characterization of multiple-reaction monitoring mass spectrometry (MRM-MS) assays for quantitative proteomics.
Article in BMC bioinformatics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
What it found
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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.
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Who cites it
47 citing papers in PubMed.
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- The Latest Developments in Using Proteomic Biomarkers from Urine and Serum for Non-Invasive Disease Diagnosis and Prognosis.Biomarker insights · 2023Review
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- Absolute quantification of transcription factors in human erythropoiesis using selected reaction monitoring mass spectrometry.STAR protocols · 2020Article
- A Dual Workflow to Improve the Proteomic Coverage in Plasma Using Data-Independent Acquisition-MS.Journal of proteome research · 2020Article
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- The Skyline ecosystem: Informatics for quantitative mass spectrometry proteomics.Mass spectrometry reviews · 2020Review
- A multiple reaction monitoring method for determining peanut (Arachis hypogea) allergens in serum using quadrupole and time-of-flight mass spectrometry.Analytical and bioanalytical chemistry · 2020Article
- An Interspecies Molecular and Functional Study of Organic Cation Transporters at the Blood-Brain Barrier: From Rodents to Humans.Pharmaceutics · 2020Article
- Quantitation of Urinary Acylcarnitines by DMS-MS/MS Uncovers the Effects of Total Body Irradiation in Cancer Patients.Journal of the American Society for Mass Spectrometry · 2020Article
- Label-Free Comparative Proteomic Analysis Combined with Laser-Capture Microdissection Suggests Important Roles of Stress Responses in the Black Layer of Maize Kernels.International journal of molecular sciences · 2020Article
- Development of robust targeted proteomics assays for cerebrospinal fluid biomarkers in multiple sclerosis.Clinical proteomics · 2020Article
- Mass Spectrometry-based Absolute Quantification of 20S Proteasome Status for ControlledMolecular & cellular proteomics : MCP · 2019Article
- Targeted Mass Spectrometry Analysis ofToxins · 2019Article
- Analysis of significant protein abundance from multiple reaction-monitoring data.BMC systems biology · 2018Article
- Tuning of human MAIT cell activation by commensal bacteria species and MR1-dependent T-cell presentation.Mucosal immunology · 2018Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Multiple reaction monitoring mass spectrometry (MRM-MS) with stable isotope dilution (SID) is increasingly becoming a widely accepted assay for the quantification of proteins and peptides. These assays have shown great promise in relatively high throughput verification of candidate biomarkers. While the use of MRM-MS assays is well established in the small molecule realm, their introduction and use in proteomics is relatively recent. As such, statistical and computational methods for the analysis of MRM-MS data from proteins and peptides are still being developed. Based on our extensive experience with analyzing a wide range of SID-MRM-MS data, we set forth a methodology for analysis that encompasses significant aspects ranging from data quality assessment, assay characterization including calibration curves, limits of detection (LOD) and quantification (LOQ), and measurement of intra- and interlaboratory precision. We draw upon publicly available seminal datasets to illustrate our methods and algorithms.
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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.