Evidence map›Paper›PMID 31602611›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2019

Mapping the Saccharomyces cerevisiae Spatial Proteome with High Resolution Using hyperLOPIT.

Daniel J H Nightingale, Stephen G Oliver, Kathryn S Lilley

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Organellar Maps Through Proteomic Profiling - A Conceptual Guide.Molecular & cellular proteomics : MCP · 2020
    Review
  5. Review
  6. Article
  7. The subcellular organisation of Saccharomyces cerevisiae.Current opinion in chemical biology · 2019
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Daniel J H NightingaleCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Stephen G OliverCambridge Systems Biology Centre, Department of Biochemistry, University of Cambridge, Cambridge, UK.
Kathryn S LilleyCambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Cambridge, UK. k.s.lilley@bioc.cam.ac.uk.

Funding

Biotechnology and Biological Sciences Research Council BB/I016147/1
6 · The paper itself

Abstract

The subcellular localization of proteins is a posttranslational modification of paramount importance. The ability to study subcellular and organelle proteomes improves our understanding of cellular homeostasis and cellular dynamics. In this chapter, we describe a protocol for the unbiased and high-throughput study of protein subcellular localization in the yeast Saccharomyces cerevisiae: hyperplexed localization of organelle proteins by isotope tagging (hyperLOPIT), which involves biochemical fractionation of Saccharomyces cerevisiae and high resolution mass spectrometry-based protein quantitation using TMT 10-plex isobaric tags. This protocol enables the determination of the subcellular localizations of thousands of proteins in parallel in a single experiment and thereby deep sampling and high-resolution mapping of the spatial proteome.

Indexed as

Cell FractionationMass SpectrometryProteomeProteomicsSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsProteomeSaccharomyces cerevisiae ProteinshyperLOPITOrganelleProtein localizationSaccharomyces cerevisiaeSpatial proteomicsSubcellular fractionation

Identifiers

PMID31602611

What OpenQuestion holds

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Registered trials

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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.