ReviewFEBS letters2012
Beyond hairballs: The use of quantitative mass spectrometry data to understand protein-protein interactions.
Review in FEBS letters, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis 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
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Regulatory modules of human thermogenic adipocytes: functional genomics of large cohort and Meta-analysis derived marker-genes.BMC genomics · 2021Pooled it
- TurboID-mediated proximity labeling for screening interacting proteins of FIP37 inPlant direct · 2023Article
- A comprehensive SARS-CoV-2-human protein-protein interactome network identifies pathobiology and host-targeting therapies for COVID-19.Research square · 2022Article
- Use of Proximity Labeling in Cardiovascular Research.JACC. Basic to translational science · 2021Review
- Proximity Dependent Biotinylation: Key Enzymes and Adaptation to Proteomics Approaches.Molecular & cellular proteomics : MCP · 2020Review
- Standardized Profiling of The Membrane-Enriched Proteome of Mouse Dorsal Root Ganglia (DRG) Provides Novel Insights Into Chronic Pain.Molecular & cellular proteomics : MCP · 2016Article
- Characterization of Two Distinct Nucleosome Remodeling and Deacetylase (NuRD) Complex Assemblies in Embryonic Stem Cells.Molecular & cellular proteomics : MCP · 2016Article
- Fundamentals of protein interaction network mapping.Molecular systems biology · 2015Review
- Quantitative interaction proteomics of neurodegenerative disease proteins.Cell reports · 2015Article
- Proximity biotinylation and affinity purification are complementary approaches for the interactome mapping of chromatin-associated protein complexes.Journal of proteomics · 2015Article
- Protein networks and activation of lymphocytes.Current opinion in immunology · 2015Review
- Quantitative affinity purification mass spectrometry: a versatile technology to study protein-protein interactions.Frontiers in genetics · 2015Review
- The Impact of Mass Spectrometry-Based Proteomics on Fundamental Discoveries in Virology.Annual review of virology · 2014Article
- Affinity purification-mass spectrometry and network analysis to understand protein-protein interactions.Nature protocols · 2014Article
- Edgotype: a fundamental link between genotype and phenotype.Current opinion in genetics & development · 2013Review
- Mapping differential interactomes by affinity purification coupled with data-independent mass spectrometry acquisition.Nature methods · 2013Article
- Cross-linking and mass spectrometry methodologies to facilitate structural biology: finding a path through the maze.Journal of structural and functional genomics · 2013Review
- Protein analysis by shotgun/bottom-up proteomics.Chemical reviews · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
Abstract
The past 10 years have witnessed a dramatic proliferation in the availability of protein interaction data. However, for interaction mapping based on affinity purification coupled with mass spectrometry (AP-MS), there is a wealth of information present in the datasets that often goes unrecorded in public repositories, and as such remains largely unexplored. Further, how this type of data is represented and used by bioinformaticians has not been well established. Here, we point out some common mistakes in how AP-MS data are handled, and describe how protein complex organization and interaction dynamics can be inferred using quantitative AP-MS approaches.
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Identifiers
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.