ReviewCurrent opinion in chemical biology2019
The subcellular organisation of Saccharomyces cerevisiae.
Review 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 16 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
16 citing papers in PubMed.
- Yeast One-Hybrid (Y1H) Assay for Single Promoter-Transcription Factor Interaction in Higher Plants.Methods in molecular biology (Clifton, N.J.) · 2026Article
- Dynamic Organellar Mapping in yeast reveals extensive protein localization changes during ER stress.Nature communications · 2025Article
- Mapping diversity in African trypanosomes using high resolution spatial proteomics.Nature communications · 2023Article
- 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
- SubcellulaRVis: a web-based tool to simplify and visualise subcellular compartment enrichment.Nucleic acids research · 2022Article
- Comparative Analysis of T-Cell Spatial Proteomics and the Influence of HIV Expression.Molecular & cellular proteomics : MCP · 2022Article
- Subcellular Transcriptomics and Proteomics: A Comparative Methods Review.Molecular & cellular proteomics : MCP · 2022Review
- Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line.Nature communications · 2021Article
- Subcellular proteomics.Nature reviews. Methods primers · 2021Article
- A semi-supervised Bayesian approach for simultaneous protein sub-cellular localisation assignment and novelty detection.PLoS computational biology · 2020Article
- Proteomic Analysis Identifies Markers of Exposure to Cadmium Sulphide Quantum Dots (CdS QDs).Nanomaterials (Basel, Switzerland) · 2020Article
- A subcellular proteome atlas of the yeast Komagataella phaffii.FEMS yeast research · 2020Article
- A Protocol to Map the Spatial Proteome Using HyperLOPIT inBio-protocol · 2019Article
- TcellSubC: An Atlas of the Subcellular Proteome of Human T Cells.Frontiers in immunology · 2019Article
- A Bioconductor workflow for the Bayesian analysis of spatial proteomics.F1000Research · 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
5 authors.
Funding
Abstract
Subcellular protein localisation is essential for the mechanisms that govern cellular homeostasis. The ability to understand processes leading to this phenomenon will therefore enhance our understanding of cellular function. Here we review recent developments in this field with regard to mass spectrometry, fluorescence microscopy and computational prediction methods. We highlight relative strengths and limitations of current methodologies focussing particularly on studies in the yeast Saccharomyces cerevisiae. We further present the first cell-wide spatial proteome map of S. cerevisiae, generated using hyperLOPIT, a mass spectrometry-based protein correlation profiling technique. We compare protein subcellular localisation assignments from this map, with two published fluorescence microscopy studies and show that confidence in localisation assignment is attained using multiple orthogonal methods that provide complementary data.
Indexed as
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.