Evidence map›Paper›PMID 21447707›Full record

ArticleMolecular & cellular proteomics : MCP2011

In vivo analysis of proteomes and interactomes using Parallel Affinity Capture (iPAC) coupled to mass spectrometry.

Johanna S Rees, Nick Lowe, Irina M Armean, John Roote, Glynnis Johnson, Emma Drummond, Helen Spriggs, Edward Ryder, Steven Russell, Daniel St Johnston and 1 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

39 citing papers in PubMed.

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  13. Engineering the Drosophila Genome for Developmental Biology.Journal of developmental biology · 2017
    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

11 authors.

Johanna S ReesCambridge Centre for Proteomics, University of Cambridge, Cambridge, UK.
Nick Lowe
Irina M Armean
John Roote
Glynnis Johnson
Emma Drummond
Helen Spriggs
Edward Ryder
Steven Russell
Daniel St Johnston
Kathryn S Lilley

Funding

Cancer Research UK A14492Wellcome Trust 076739Wellcome Trust 080007Wellcome Trust 092096
6 · The paper itself

Abstract

Affinity purification coupled to mass spectrometry provides a reliable method for identifying proteins and their binding partners. In this study we have used Drosophila melanogaster proteins triple tagged with Flag, Strep II, and Yellow fluorescent protein in vivo within affinity pull-down experiments and isolated these proteins in their native complexes from embryos. We describe a pipeline for determining interactomes by Parallel Affinity Capture (iPAC) and show its use by identifying partners of several protein baits with a range of sizes and subcellular locations. This purification protocol employs the different tags in parallel and involves detailed comparison of resulting mass spectrometry data sets, ensuring the interaction lists achieved are of high confidence. We show that this approach identifies known interactors of bait proteins as well as novel interaction partners by comparing data achieved with published interaction data sets. The high confidence in vivo protein data sets presented here add new data to the currently incomplete D. melanogaster interactome. Additionally we report contaminant proteins that are persistent with affinity purifications irrespective of the tagged bait.

Indexed as

AnimalsChromatography, AffinityDrosophila melanogasterDrosophila ProteinsLarvaProtein BindingProtein Interaction MappingProtein Phosphatase 1ProteomeRecombinant Fusion ProteinsReproducibility of ResultsTandem Mass SpectrometryDrosophila ProteinsProtein Phosphatase 1ProteomeRecombinant Fusion Proteins

Identifiers

PMID21447707
PMCPMC3108830

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.