ArticleNature2011
Mapping intact protein isoforms in discovery mode using top-down proteomics.
Article in Nature, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 336 papers, 1 of them a synthesis that pooled it.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
336 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Proteomics in Liver Transplantation: A Systematic Review.Frontiers in immunology · 2021Pooled it
- Small-protein Enrichment Assay Enables the Rapid, Unbiased Analysis of Over 100 Low Abundance Factors from Human Plasma.Molecular & cellular proteomics : MCP · 2019Trial
- Unspecific Molecular Adsorption (UMA) Sample Preparation Method for Bottom-up and Whole Protein Analysis: The Foundation.Proteomics · 2026Article
- A Draft Map of E. coli Proteoforms.Analytical chemistry · 2026Article
- Identification of Pre-Diagnostic Protein Biomarkers for Liver Cirrhosis Based on Prospective Analysis of a Large-Scale Plasma Proteomics in the UK Biobank.Proteomics. Clinical applications · 2026Article
- Top-Down versus Bottom-Up Proteomics in Highly Sensitive LC-MS-Based Profiling of Limited Samples.Analytical chemistry · 2026Article
- Subcellular localization as a driver of protein function.Nature reviews. Molecular cell biology · 2026Review
- Reduced levels of ITGB1 cause activation of p38MAPK-ERK-LYN axis of BCR::ABL1 signaling despite inactivation of the oncoprotein by imatinib - novel resistance mechanism in blast crisis of chronic myeloid leukemia unraveled.Cell communication and signaling : CCS · 2026Article
- Top-Down Mass Spectrometry and Its Current Applications in Biomarker Discovery in Aging and Age-Related Diseases.International journal of molecular sciences · 2026Review
- Proteoform medicine: characterizing and targeting protein forms in human disease.Nature reviews. Genetics · 2026Review
- Capturing Cardiomyocyte Cell-to-Cell Heterogeneity via Shotgun Single Cell Top-Down Proteomics.bioRxiv : the preprint server for biology · 2026Article
- DeepISO: deep learning-powered prediction of protein-protein interaction rewiring generated by alternative splicing.Genome biology · 2026Article
- Mass spectrometry-based top-down proteomics for proteoform profiling of protein coronas.Nature protocols · 2026Review
- Advances in Mass Spectrometry Instrumentation and Methodology for Analysis of Alternative Protein Isoforms.Journal of mass spectrometry : JMS · 2026Review
- Proteoforms as the true units of physiological function.European journal of applied physiology · 2026Review
- Enhancing Proteoform Sequence Coverage Using Top-Down Mass Spectrometry with In-Source Fragmentation and Middle-Down Mass Spectrometry.Analytical chemistry · 2026Article
- PEPPI-SP3: A Gel-Based High-Resolution Sample Preparation Workflow for In-Depth Top-Down Analysis of Intact Proteoforms by Mass Spectrometry.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Splicing as an integrative layer linking cell cycle regulation, epigenetic dynamics, and environmental responses in plants.Frontiers in plant science · 2026Review
- Intact Mass Profiling Reveals Phospho-Proteoforms of the Catenins (85-110 kDa) Regulated by Actomyosin Contractility.Angewandte Chemie (International ed. in English) · 2025Article
- Post-Translationally Modified Proteoforms as Biomarkers: From Discovery to Clinical Use.Clinical chemistry · 2025Review
276 more citing papers are in PubMed but not listed here.
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Authors and funding
18 authors.
Funding
Abstract
A full description of the human proteome relies on the challenging task of detecting mature and changing forms of protein molecules in the body. Large-scale proteome analysis has routinely involved digesting intact proteins followed by inferred protein identification using mass spectrometry. This 'bottom-up' process affords a high number of identifications (not always unique to a single gene). However, complications arise from incomplete or ambiguous characterization of alternative splice forms, diverse modifications (for example, acetylation and methylation) and endogenous protein cleavages, especially when combinations of these create complex patterns of intact protein isoforms and species. 'Top-down' interrogation of whole proteins can overcome these problems for individual proteins, but has not been achieved on a proteome scale owing to the lack of intact protein fractionation methods that are well integrated with tandem mass spectrometry. Here we show, using a new four-dimensional separation system, identification of 1,043 gene products from human cells that are dispersed into more than 3,000 protein species created by post-translational modification (PTM), RNA splicing and proteolysis. The overall system produced greater than 20-fold increases in both separation power and proteome coverage, enabling the identification of proteins up to 105 kDa and those with up to 11 transmembrane helices. Many previously undetected isoforms of endogenous human proteins were mapped, including changes in multiply modified species in response to accelerated cellular ageing (senescence) induced by DNA damage. Integrated with the latest version of the Swiss-Prot database, the data provide precise correlations to individual genes and proof-of-concept for large-scale interrogation of whole protein molecules. The technology promises to improve the link between proteomics data and complex phenotypes in basic biology and disease research.
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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.