Evidence map›Paper›PMID 34599159›Full record

ArticleNature communications2021

Spatiotemporal proteomic profiling of the pro-inflammatory response to lipopolysaccharide in the THP-1 human leukaemia cell line.

Claire M Mulvey, Lisa M Breckels, Oliver M Crook, David J Sanders, Andre L R Ribeiro, Aikaterini Geladaki, Andy Christoforou, Nina Kočevar Britovšek, Tracey Hurrell, Michael J Deery and 3 more

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
4.8field-weighted citation impact, top 3% 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

38 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
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  3. Mass spectrometry proteomics for studying mitostasis.Protein science : a publication of the Protein Society · 2026
    Review
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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

13 authors at 3 institutions in 4 countries.

Claire M Mulvey *Cambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0002-2989-2052
Lisa M Breckels *Cambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0001-8918-7171
Oliver M CrookCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0001-5669-8506
David J SandersDepartment of Microbial Diseases, Eastman Dental Institute, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK.ORCID http://orcid.org/0000-0001-8501-146X
Andre L R RibeiroDepartment of Microbial Diseases, Eastman Dental Institute, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK.
Aikaterini GeladakiCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0002-0530-4252
Andy ChristoforouBristol Myers Squibb, 10300 Campus Point Drive, San Diego, CA, USA.
Nina Kočevar BritovšekCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0002-0985-2707
Tracey HurrellCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.
Michael J DeeryCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.
Laurent GattoCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK.ORCID http://orcid.org/0000-0002-1520-2268
Andrew M SmithDepartment of Microbial Diseases, Eastman Dental Institute, University College London, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. andrew.m.smith@ucl.ac.uk.ORCID http://orcid.org/0000-0002-4691-5973
Kathryn S LilleyCambridge Centre for Proteomics, Cambridge Systems Biology Centre and Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QR, UK. k.s.lilley@bioc.cam.ac.uk.ORCID http://orcid.org/0000-0003-0594-6543
University of Cambridge · GBThe Royal Free Hospital · GBBristol-Myers Squibb (United States) · US

Funding

Biotechnology and Biological Sciences Research Council BB/H024247/1Wellcome Trust 099135/Z/12/ZWellcome Trust 108467/Z/15/ZWellcome Trust 110071/Z/15/ZWellcome Trust 110170/Z/15/Z
6 · The paper itself

Abstract

Protein localisation and translocation between intracellular compartments underlie almost all physiological processes. The hyperLOPIT proteomics platform combines mass spectrometry with state-of-the-art machine learning to map the subcellular location of thousands of proteins simultaneously. We combine global proteome analysis with hyperLOPIT in a fully Bayesian framework to elucidate spatiotemporal proteomic changes during a lipopolysaccharide (LPS)-induced inflammatory response. We report a highly dynamic proteome in terms of both protein abundance and subcellular localisation, with alterations in the interferon response, endo-lysosomal system, plasma membrane reorganisation and cell migration. Proteins not previously associated with an LPS response were found to relocalise upon stimulation, the functional consequences of which are still unclear. By quantifying proteome-wide uncertainty through Bayesian modelling, a necessary role for protein relocalisation and the importance of taking a holistic overview of the LPS-driven immune response has been revealed. The data are showcased as an interactive application freely available for the scientific community.

Indexed as

ProteomicsAlgorithmsAntigen PresentationAnti-Infective AgentsAnti-Inflammatory AgentsAutophagosomesBayes TheoremCell Cycle CheckpointsCell MembraneCell NucleusCell ShapeHumansImmunityInflammationLeukemiaLipopolysaccharidesAnti-Infective AgentsAnti-Inflammatory AgentsLipopolysaccharidesNeoplasm ProteinsProteomerho GTP-Binding Proteins

Identifiers

PMID34599159
PMCPMC8486773
OpenAlexW3203573524

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.