Evidence map›Paper›PMID 26754106›Full record

ArticleNature communications2016

A draft map of the mouse pluripotent stem cell spatial proteome.

Andy Christoforou, Claire M Mulvey, Lisa M Breckels, Aikaterini Geladaki, Tracey Hurrell, Penelope C Hayward, Thomas Naake, Laurent Gatto, Rosa Viner, Alfonso Martinez Arias and 1 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
123citing papers in PubMed, 2 pooled it
22.1field-weighted citation impact, top 1% of its field
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

123 citing papers in PubMed, 2 syntheses or guidelines pooled it, 234 citations in OpenAlex.

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  14. Odd-Chain Dicarboxylic Acid Feeding Produces a Glutaric Aciduria Type 1-Like Metabolic Signature in Mice.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
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63 more citing papers are in PubMed but not listed here.

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

11 authors at 2 institutions in 3 countries.

Andy ChristoforouDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Claire M MulveyDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Lisa M BreckelsDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Aikaterini GeladakiDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Tracey HurrellDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Penelope C HaywardDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.
Thomas NaakeDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
Laurent GattoDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.ORCID http://orcid.org/0000-0002-1520-2268
Rosa VinerThermo Fisher Scientific, 355 River Oaks Pkwy, San Jose, California 95314, USA.
Alfonso Martinez AriasDepartment of Genetics, University of Cambridge, Downing Street, Cambridge CB2 3EH, UK.
Kathryn S LilleyDepartment of Biochemistry, Cambridge Centre for Proteomics, University of Cambridge, Tennis Court Road, Cambridge CB2 1QR, UK.
University of Cambridge · GBThermo Fisher Scientific (United States) · US

Funding

Biotechnology and Biological Sciences Research Council BB/D526088/1Biotechnology and Biological Sciences Research Council BB/H024247/1Biotechnology and Biological Sciences Research Council BB/K00137X/1Wellcome Trust 099135/Z/12/Z
6 · The paper itself

Abstract

Knowledge of the subcellular distribution of proteins is vital for understanding cellular mechanisms. Capturing the subcellular proteome in a single experiment has proven challenging, with studies focusing on specific compartments or assigning proteins to subcellular niches with low resolution and/or accuracy. Here we introduce hyperLOPIT, a method that couples extensive fractionation, quantitative high-resolution accurate mass spectrometry with multivariate data analysis. We apply hyperLOPIT to a pluripotent stem cell population whose subcellular proteome has not been extensively studied. We provide localization data on over 5,000 proteins with unprecedented spatial resolution to reveal the organization of organelles, sub-organellar compartments, protein complexes, functional networks and steady-state dynamics of proteins and unexpected subcellular locations. The method paves the way for characterizing the impact of post-transcriptional and post-translational modification on protein location and studies involving proteome-level locational changes on cellular perturbation. An interactive open-source resource is presented that enables exploration of these data.

Indexed as

AnimalsCell FractionationImmunohistochemistryIntracellular SpaceMachine LearningMass SpectrometryMiceMouse Embryonic Stem CellsMultivariate AnalysisPluripotent Stem CellsProteomeProteomicsSubcellular FractionsProteome

Identifiers

PMID26754106
PMCPMC4729960
OpenAlexW2272852695

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.