ReviewACS chemical biology2010
Phosphoproteomics for the masses.
Review in ACS chemical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 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
72 citing papers in PubMed.
- A One Health Framework for Proteomics Across the Tree of Life to Advance Food Security, Animal Health, and Ecosystem Resilience.Proteomes · 2026Review
- Article
- Fast and deep phosphoproteome analysis with the Orbitrap Astral mass spectrometer.Nature communications · 2024Article
- Optical chemosensors for the detection of proximally phosphorylated peptides and proteins.RSC chemical biology · 2021Review
- Advances in quantitative high-throughput phosphoproteomics with sample multiplexing.Proteomics · 2021Review
- [Advances in enrichment of phosphorylated peptides and glycopeptides by smart polymer-based materials].Se pu = Chinese journal of chromatography · 2021Review
- Global Phosphoproteome Analysis Using High-Field Asymmetric Waveform Ion Mobility Spectrometry on a Hybrid Orbitrap Mass Spectrometer.Analytical chemistry · 2020Article
- Article
- Ultraviolet Photodissociation Mass Spectrometry for Analysis of Biological Molecules.Chemical reviews · 2020Review
- Machine learning empowers phosphoproteome prediction in cancers.Bioinformatics (Oxford, England) · 2020Article
- Proteome-Wide Quantitative Phosphoproteomic Analysis of Trypanosoma brucei Insect and Mammalian Life Cycle Stages.Methods in molecular biology (Clifton, N.J.) · 2020Article
- From Molecules to Mechanisms: Functional Proteomics and Its Application to Renal Tubule Physiology.Physiological reviews · 2018Review
- Improved Sensitivity and Separations for Phosphopeptides using Online Liquid Chromotography Coupled with Structures for Lossless Ion Manipulations Ion Mobility-Mass Spectrometry.Analytical chemistry · 2018Article
- Dissecting ribosomal particles throughout the kingdoms of life using advanced hybrid mass spectrometry methods.Nature communications · 2018Article
- Selecting an appropriate method for expressingBiotechnology reports (Amsterdam, Netherlands) · 2017Article
- Direct Monitoring of Protein O-GlcNAcylation by High-Resolution Native Mass Spectrometry.ACS chemical biology · 2017Article
- Neutral Loss Is a Very Common Occurrence in Phosphotyrosine-Containing Peptides Labeled with Isobaric Tags.Journal of proteome research · 2017Article
- A Priori Intrinsic PTM Size Parameters for Predicting the Ion Mobilities of Modified Peptides.Journal of the American Society for Mass Spectrometry · 2017Article
- A Biologist's Field Guide to Multiplexed Quantitative Proteomics.Molecular & cellular proteomics : MCP · 2016Review
- Examining the Influence of Phosphorylation on Peptide Ion Structure by Ion Mobility Spectrometry-Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2016Article
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Protein phosphorylation serves as a primary mechanism of signal transduction in the cells of biological organisms. Technical advancements over the last several years in mass spectrometry now allow for the large-scale identification and quantitation of in vivo phosphorylation at unprecedented levels. These developments have occurred in the areas of sample preparation, instrumentation, quantitative methodology, and informatics so that today, 10 000-20 000 phosphorylation sites can be identified and quantified within a few weeks. With the rapid development and widespread availability of such data, its translation into biological insight and knowledge is a current obstacle. Here we present an overview of how this technology came to be and is currently applied, as well as future challenges for the field.
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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.