Evidence map›Paper›PMID 27803151›Full record

ArticleMolecular & cellular proteomics : MCP2016

Proteome-scale Binary Interactomics in Human Cells.

Sam Lievens, José Van der Heyden, Delphine Masschaele, Leentje De Ceuninck, Ioanna Petta, Surya Gupta, Veronic De Puysseleyr, Virginie Vauthier, Irma Lemmens, Dries J H De Clercq and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 28 citations in OpenAlex.

  1. Review
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  8. Protein interactome mapping inCurrent opinion in systems biology · 2019
    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

21 authors at 2 institutions in 2 countries.

Sam LievensFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
José Van der HeydenFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Delphine MasschaeleFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Leentje De CeuninckFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Ioanna PettaFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Surya GuptaFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Veronic De PuysseleyrFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Virginie VauthierFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Irma LemmensFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Dries J H De Clercq¶Laboratory for Medicinal Chemistry, Ghent University, Ghent, Belgium.
Dieter DefeverFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Nele VanderroostFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Anne-Sophie De SmetFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Sven EyckermanFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Serge Van Calenbergh¶Laboratory for Medicinal Chemistry, Ghent University, Ghent, Belgium.
Lennart MartensFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Karolien De BosscherFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium.
Claude Libert‖Inflammation Research Center, VIB, Ghent, Belgium.
David E Hill‡‡Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Marc Vidal‡‡Center for Cancer Systems Biology (CCSB) and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts.
Jan TavernierFrom the ‡Medical Biotechnology Center, VIB, Ghent, Belgium; jan.tavernier@vib-ugent.be.
University College Ghent · BEHarvard University · US

Funding

Mapping the first half of the REFERENCE human binary protein interactomeU01HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E., ROTH, FREDERICK P · 2012 to 2014
$5.4M
Resource ProjectU41HG001715 · NHGRI · DANA-FARBER CANCER INST · PI HILL, DAVID E. · 2015 to 2017
$4.7M
European Research Council 340941NHGRI NIH HHS U01 HG001715NHGRI NIH HHS U41 HG001715
6 · The paper itself

Abstract

Because proteins are the main mediators of most cellular processes they are also prime therapeutic targets. Identifying physical links among proteins and between drugs and their protein targets is essential in order to understand the mechanisms through which both proteins themselves and the molecules they are targeted with act. Thus, there is a strong need for sensitive methods that enable mapping out these biomolecular interactions. Here we present a robust and sensitive approach to screen proteome-scale collections of proteins for binding to proteins or small molecules using the well validated MAPPIT (Mammalian Protein-Protein Interaction Trap) and MASPIT (Mammalian Small Molecule-Protein Interaction Trap) assays. Using high-density reverse transfected cell microarrays, a close to proteome-wide collection of human ORF clones can be screened for interactors at high throughput. The versatility of the platform is demonstrated through several examples. With MAPPIT, we screened a 15k ORF library for binding partners of RNF41, an E3 ubiquitin protein ligase implicated in receptor sorting, identifying known and novel interacting proteins. The potential related to the fact that MAPPIT operates in living human cells is illustrated in a screen where the protein collection is scanned for interactions with the glucocorticoid receptor (GR) in its unliganded versus dexamethasone-induced activated state. Several proteins were identified the interaction of which is modulated upon ligand binding to the GR, including a number of previously reported GR interactors. Finally, the screening technology also enables detecting small molecule target proteins, which in many drug discovery programs represents an important hurdle. We show the efficiency of MASPIT-based target profiling through screening with tamoxifen, a first-line breast cancer drug, and reversine, an investigational drug with interesting dedifferentiation and antitumor activity. In both cases, cell microarray screens yielded known and new potential drug targets highlighting the utility of the technology beyond fundamental biology.

Indexed as

HEK293 CellsHumansProtein Interaction MappingProteomeSmall Molecule LibrariesTamoxifenTissue Array AnalysisProteomeSmall Molecule LibrariesTamoxifen

Identifiers

PMID27803151
PMCPMC5141276
OpenAlexW2547145847

What OpenQuestion holds

Textmetadata
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.