Evidence map›Paper›PMID 27824369›Full record

ArticleMolecular bioSystems2016

Proteomics profiling of interactome dynamics by colocalisation analysis (COLA).

Faraz K Mardakheh, Heba Z Sailem, Sandra Kümper, Christopher J Tape, Ryan R McCully, Angela Paul, Sara Anjomani-Virmouni, Claus Jørgensen, George Poulogiannis, Christopher J Marshall and 1 more

Abstract read
In one paragraph

Article in Molecular bioSystems, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Subcellular proteomics.Nature reviews. Methods primers · 2021
    Article
  7. Spatial proteomics: a powerful discovery tool for cell biology.Nature reviews. Molecular cell biology · 2019
    Review
  8. Article
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.

Faraz K MardakhehInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Heba Z SailemInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk and Institute of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK.
Sandra KümperInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Christopher J TapeInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.ORCID http://orcid.org/0000-0003-4712-2737
Ryan R McCullyInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Angela PaulInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Sara Anjomani-VirmouniInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Claus JørgensenCancer Research UK Manchester Institute, University of Manchester, Wilmslow Road, Manchester M20 4BX, UK.ORCID http://orcid.org/0000-0002-7841-943X
George PoulogiannisInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Christopher J MarshallInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
Chris BakalInstitute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.ORCID http://orcid.org/0000-0002-0413-6744

Funding

Cancer Research UK 12905Cancer Research UK 16512Cancer Research UK 19258Cancer Research UK 20146Cancer Research UK A19258
6 · The paper itself

Abstract

Localisation and protein function are intimately linked in eukaryotes, as proteins are localised to specific compartments where they come into proximity of other functionally relevant proteins. Significant co-localisation of two proteins can therefore be indicative of their functional association. We here present COLA, a proteomics based strategy coupled with a bioinformatics framework to detect protein-protein co-localisations on a global scale. COLA reveals functional interactions by matching proteins with significant similarity in their subcellular localisation signatures. The rapid nature of COLA allows mapping of interactome dynamics across different conditions or treatments with high precision.

Indexed as

Protein Interaction MapsProteomeProteomicsCell FractionationCell LineChromatography, LiquidCluster AnalysisHumansIntracellular SpaceMass SpectrometryProtein BindingProtein Interaction MappingProtein TransportSensitivity and SpecificitySubcellular FractionsProteome

Identifiers

PMID27824369
PMCPMC5315029

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.