ArticleScientific data2014
A repository of assays to quantify 10,000 human proteins by SWATH-MS.
Article in Scientific data, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 211 papers.
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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.
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Who cites it
211 citing papers in PubMed.
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- Arecoline as a Novel Scaffold Targeting the ATAD2 Bromodomain for Cell Cycle Modulation.Pharmaceutics · 2026Article
- Applications and Prospects of Artificial Intelligence in ProteomicsCurrent protein & peptide science · 2026Review
- Generation of peptide detectability datasets from single DIA experiment for prediction model fine-tuning.Bioinformatics advances · 2026Article
- Carafe enables high quality in silico spectral library generation for data-independent acquisition proteomics.Nature communications · 2025Article
- Concerted changes in Epithelium and Stroma: a multi-scale, multi-omics analysis of progression from Barrett's Esophagus to adenocarcinoma.Developmental cell · 2025Article
- Ballistic Microscopy (BaM).bioRxiv : the preprint server for biology · 2025Article
- Improving Proteomic Dynamic Range with Multiple Accumulation Precursor Mass Spectrometry.Journal of proteome research · 2025Article
- Complex Assembly and Activity States as Multifaceted Protein Attributes Explaining Phenotypic Variability.bioRxiv : the preprint server for biology · 2025Article
- Carafe enables high qualitybioRxiv : the preprint server for biology · 2025Article
- Circulating Tumor Cells Shed Shearosome Extracellular Vesicles in Capillary Bifurcations That Activate Endothelial and Immune Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Substrate stiffness dictates unique doxorubicin-induced senescence-associated secretory phenotypes and transcriptomic signatures in human pulmonary fibroblasts.GeroScience · 2025Article
- Depletion-dependent activity-based protein profiling using SWATH/DIA-MS detects serine hydrolase lipid remodeling in lung adenocarcinoma progression.Nature communications · 2025Article
- Circulating tumor cells shed shearosome extracellular vesicles in capillary bifurcations that activate endothelial and immune cells.bioRxiv : the preprint server for biology · 2025Article
- Integrated View of Baseline Protein Expression in Human Tissues Using Public Data Independent Acquisition Data Sets.Journal of proteome research · 2025Article
151 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
22 authors.
Funding
Abstract
Mass spectrometry is the method of choice for deep and reliable exploration of the (human) proteome. Targeted mass spectrometry reliably detects and quantifies pre-determined sets of proteins in a complex biological matrix and is used in studies that rely on the quantitatively accurate and reproducible measurement of proteins across multiple samples. It requires the one-time, a priori generation of a specific measurement assay for each targeted protein. SWATH-MS is a mass spectrometric method that combines data-independent acquisition (DIA) and targeted data analysis and vastly extends the throughput of proteins that can be targeted in a sample compared to selected reaction monitoring (SRM). Here we present a compendium of highly specific assays covering more than 10,000 human proteins and enabling their targeted analysis in SWATH-MS datasets acquired from research or clinical specimens. This resource supports the confident detection and quantification of 50.9% of all human proteins annotated by UniProtKB/Swiss-Prot and is therefore expected to find wide application in basic and clinical research. Data are available via ProteomeXchange (PXD000953-954) and SWATHAtlas (SAL00016-35).
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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.