ReviewExpert review of molecular diagnostics2013
Mass spectrometric protein maps for biomarker discovery and clinical research.
Review in Expert review of molecular diagnostics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 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
43 citing papers in PubMed.
- Graph Neural Networks Reveal Candidate Protein Biomarkers Underlying Abdominal Aortic Aneurysm Biology.Computational and structural biotechnology journal · 2026Article
- A label-free microLC-SWATH-MS methodology with immunoaffinity depletion of highly abundant serum proteins for quantitative proteomic comparison of fresh-frozen human normal breast tissue and tumor clinical specimens.Frontiers in molecular biosciences · 2026Article
- Holographic Proteomics: A Review of Digital Holographic Microscopy Applications in Spatial Proteomics.Protein and peptide letters · 2025Review
- Robust Glycoproteomics Platform Reveals a Tetra-Antennary Site-Specific Glycan Capping with Sialyl-Lewis Antigen for Early Detection of Gastric Cancer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Quantification of 782 Plasma Peptides by Multiplexed Targeted Proteomics.Journal of proteome research · 2023Article
- Principles of phosphoproteomics and applications in cancer research.The Biochemical journal · 2023Article
- Data-Independent Acquisition Mass Spectrometry of EPS-Urine Coupled to Machine Learning: A Predictive Model for Prostate Cancer.ACS omega · 2023Article
- Artificial Neural Networks Coupled with MALDI-TOF MS Serum Fingerprinting To Classify and Diagnose Pathological Pain Subtypes in Preclinical Models.ACS chemical neuroscience · 2023Article
- A Novel Approach of SWATH-Based Metabolomics Analysis Using the Human Metabolome Database Spectral Library.International journal of molecular sciences · 2022Article
- Cerebrospinal Fluid Proteomics in Friedreich Ataxia Reveals Markers of Neurodegeneration and Neuroinflammation.Frontiers in neuroscience · 2022Article
- Robust optimization of SWATH-MS workflow for human blood serum proteome analysis using a quality by design approach.Clinical proteomics · 2021Article
- Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer.Molecules (Basel, Switzerland) · 2021Review
- Comparative proteomics of three Chinese potato cultivars to improve understanding of potato molecular response to late blight disease.BMC genomics · 2020Article
- Different Research Approaches in Unraveling the Venom Proteome ofBiomolecules · 2020Article
- Orthogonal Proteomic Platforms and Their Implications for the Stable Classification of High-Grade Serous Ovarian Cancer Subtypes.iScience · 2020Article
- Liquid Chromatography-Tandem Mass Spectrometry (LC-MS/MS)-Based Proteomics of Drug-Metabolizing Enzymes and Transporters.Molecules (Basel, Switzerland) · 2020Review
- Discovery of Potential Plasma Biomarkers for Tuberculosis in HIV-Infected Patients by Data-Independent Acquisition-Based Quantitative Proteomics.Infection and drug resistance · 2020Article
- Quantitative Proteomics of Potato Leaves Infected withInternational journal of molecular sciences · 2019Article
- A Novel LC System Embeds Analytes in Pre-formed Gradients for Rapid, Ultra-robust Proteomics.Molecular & cellular proteomics : MCP · 2018Article
- Patient stratification in clinical glaucoma trials using the individual tear proteome.Scientific reports · 2018Article
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
Among the wide range of proteomic technologies, targeted mass spectrometry (MS) has shown great potential for biomarker studies. To extend the degree of multiplexing achieved by selected reaction monitoring (SRM), we recently developed SWATH MS. SWATH MS is a variant of the emerging class of data-independent acquisition (DIA) methods and essentially converts the molecules in a physical sample into perpetually re-usable digital maps. The thus generated SWATH maps are then mined using a targeted data extraction strategy, allowing us to profile disease-related proteomes at a high degree of reproducibility. The successful application of both SRM and SWATH MS requires the a priori generation of reference spectral maps that provide coordinates for quantification. Herein, we demonstrate that the application of the mass spectrometric reference maps and the acquisition of personalized SWATH maps hold a particular promise for accelerating the current process of biomarker discovery.
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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.