ArticleCell systems2018
Assembling the Community-Scale Discoverable Human Proteome.
Article in Cell systems, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 102 papers, 2 of them syntheses that pooled it.
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
102 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Initial recommendations for performing, benchmarking and reporting single-cell proteomics experiments.Nature methods · 2023Guideline
- An integrated landscape of protein expression in human cancer.Scientific data · 2021Pooled it
- Artificial Intelligence and Machine Learning in Mass Spectrometry-Based Proteomics and Metabolomics.Methods in molecular biology (Clifton, N.J.) · 2027Article
- MassNet: billion-scale AI-ready mass spectral corpus empowering scalable deep learning in proteomics.Nature methods · 2026Article
- ScopeNovo: a de novo peptide sequencing method using spectrum-spectrum similarity to refine the prediction accuracy.Bioinformatics (Oxford, England) · 2026Article
- Omics data discovery agents: Agent-supported retrieval, reanalysis, and synthesis of published omics data.PLoS computational biology · 2026Article
- usiGrabber: automating the curation of proteomics spectra data at scale, making large datasets ready for use in machine learning systems.Bioinformatics (Oxford, England) · 2026Article
- Mass Spectrometric Detected Cancer Proteins as Resources for Cancer Research.Journal of proteome research · 2026Article
- Consensus statement on mass spectrometry-based proteomic analysis of cardiac tissue.Nature cardiovascular research · 2026Article
- MegaPX: fast and space-efficient peptide assignment method using IBF-based multi-indexing.Bioinformatics (Oxford, England) · 2026Article
- Comprehensive top-down mass spectral repository enables pan-dataset analysis and top-down spectral prediction.bioRxiv : the preprint server for biology · 2026Article
- Review
- XA-Novo: high-throughput mass spectrometry-based de novo sequencing technology for monoclonal antibodies and antibody mixtures.Nature communications · 2026Article
- The protease cathepsin K can debulk the cancer glycocalyx.The Journal of biological chemistry · 2026Article
- Modanovo: A Unified Model for Post-translational Modification-Aware De Novo Sequencing Using Experimental Spectra From In Vivo and Synthetic Peptides.Molecular & cellular proteomics : MCP · 2026Article
- Multiple Spectrum Alignment for Molecular Networking Exploration and Discovery.Journal of the American Society for Mass Spectrometry · 2026Article
- The ProteomeXchange consortium in 2026: making proteomics data FAIR.Nucleic acids research · 2026Article
- Xenbase: A Guide to the Xenopus Genetics and Genomics Knowledgebase.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Recent Advances in Implementation of Machine Learning for Environmental Nontarget Identification.Environment & health (Washington, D.C.) · 2025Review
- Article
42 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
The increasing throughput and sharing of proteomics mass spectrometry data have now yielded over one-third of a million public mass spectrometry runs. However, these discoveries are not continuously aggregated in an open and error-controlled manner, which limits their utility. To facilitate the reusability of these data, we built the MassIVE Knowledge Base (MassIVE-KB), a community-wide, continuously updating knowledge base that aggregates proteomics mass spectrometry discoveries into an open reusable format with full provenance information for community scrutiny. Reusing >31 TB of public human data stored in a mass spectrometry interactive virtual environment (MassIVE), the MassIVE-KB contains >2.1 million precursors from 19,610 proteins (48% larger than before; 97% of the total) and doubles proteome coverage to 6 million amino acids (54% of the proteome) with strict library-scale false discovery controls, thereby providing evidence for 430 proteins for which sufficient protein-level evidence was previously missing. Furthermore, MassIVE-KB can inform experimental design, helps identify and quantify new data, and provides tools for community construction of specialized spectral libraries.
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What OpenQuestion holds
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.