SynthesisCurrent opinion in chemical biology2019
Assessing sub-cellular resolution in spatial proteomics experiments.
Synthesis in Current opinion in chemical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 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
20 citing papers in PubMed, 1 synthesis or guideline pooled it, 39 citations in OpenAlex.
- Assessing sub-cellular resolution in spatial proteomics experiments.Current opinion in chemical biology · 2019Pooled it
- Dynamic subcellular proteomics identifies regulators of adipocyte insulin action.Nature communications · 2026Article
- An updated Bioconductor workflow for correlation profiling subcellular proteomics.F1000Research · 2025Article
- TransGCN: a semi-supervised graph convolution network-based framework to infer protein translocations in spatio-temporal proteomics.Briefings in bioinformatics · 2024Article
- Impaired biogenesis of basic proteins impacts multiple hallmarks of the aging brain.bioRxiv : the preprint server for biology · 2024Article
- Deep and fast label-free Dynamic Organellar Mapping.Nature communications · 2023Article
- Reduced mitochondria provide an essential function for the cytosolic methionine cycle.Current biology : CB · 2022Article
- Semi-Supervised Non-Parametric Bayesian Modelling of Spatial Proteomics.The annals of applied statistics · 2022Article
- Inferring differential subcellular localisation in comparative spatial proteomics using BANDLE.Nature communications · 2022Article
- SubCellBarCode: integrated workflow for robust spatial proteomics by mass spectrometry.Nature protocols · 2022Review
- Understudied proteins: opportunities and challenges for functional proteomics.Nature methods · 2022Article
- Comparative Analysis of T-Cell Spatial Proteomics and the Influence of HIV Expression.Molecular & cellular proteomics : MCP · 2022Article
- Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line.Nature communications · 2021Article
- Integration of Data from Liquid-Liquid Phase Separation Databases Highlights Concentration and Dosage Sensitivity of LLPS Drivers.International journal of molecular sciences · 2021Article
- Grand Challenges in Bioinformatics Data Visualization.Frontiers in bioinformatics · 2021Article
- Subcellular proteomics.Nature reviews. Methods primers · 2021Article
- Interrogating Host Antiviral Environments Driven by Nuclear DNA Sensing: A Multiomic Perspective.Biomolecules · 2020Review
- A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.PLoS computational biology · 2020Article
- A Protocol to Map the Spatial Proteome Using HyperLOPIT inBio-protocol · 2019Article
- Combining LOPIT with differential ultracentrifugation for high-resolution spatial proteomics.Nature communications · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 2 countries.
Funding
Abstract
The sub-cellular localisation of a protein is vital in defining its function, and a protein's mis-localisation is known to lead to adverse effect. As a result, numerous experimental techniques and datasets have been published, with the aim of deciphering the localisation of proteins at various scales and resolutions, including high profile mass spectrometry-based efforts. Here, we present a meta-analysis assessing and comparing the sub-cellular resolution of 29 such mass spectrometry-based spatial proteomics experiments using a newly developed tool termed QSep. Our goal is to provide a simple quantitative report of how well spatial proteomics resolve the sub-cellular niches they describe to inform and guide developers and users of such methods.
Indexed as
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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.