Evidence map›Paper›PMID 33187149›Full record

ArticleCancers2020

Proximal Protein Interaction Landscape of RAS Paralogs.

Benoît Béganton, Etienne Coyaud, Estelle M N Laurent, Alain Mangé, Julien Jacquemetton, Muriel Le Romancer, Brian Raught, Jérôme Solassol

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 27% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

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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

8 authors at 3 institutions in 2 countries.

Benoît BégantonCHU Montpellier, Department of Pathology and Onco-Biology, Univ Montpellier, 34295 Montpellier, France.
Etienne CoyaudDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON M5G 1L7, Canada.
Estelle M N LaurentDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON M5G 1L7, Canada.
Alain MangéIRCM, INSERM, Univ Montpellier, ICM, 34298 Montpellier, France.ORCID 0000-0002-1566-9407
Julien JacquemettonCentre de Recherche en Cancérologie de Lyon (CRCL), INSERM U1052, CNRS UMR5286, Université Lyon 1, 69008 Lyon, France.
Muriel Le RomancerCentre de Recherche en Cancérologie de Lyon (CRCL), INSERM U1052, CNRS UMR5286, Université Lyon 1, 69008 Lyon, France.ORCID 0000-0002-8491-4015
Brian RaughtDepartment of Medical Biophysics, Princess Margaret Cancer Centre, University of Toronto, Toronto, ON M5G 1L7, Canada.
Jérôme SolassolCHU Montpellier, Department of Pathology and Onco-Biology, Univ Montpellier, 34295 Montpellier, France.ORCID 0000-0002-0293-6158
Inserm · FRUniversity of Toronto · CAUniversité Claude Bernard Lyon 1 · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RAS proteins (KRAS, NRAS and HRAS) are frequently activated in different cancer types (e.g., non-small cell lung cancer, colorectal cancer, melanoma and bladder cancer). For many years, their activities were considered redundant due to their high degree of sequence homology (80% identity) and their shared upstream and downstream protein partners. However, the high conservation of the Hyper-Variable-Region across mammalian species, the preferential activation of different RAS proteins in specific tumor types and the specific post-translational modifications and plasma membrane-localization of each paralog suggest they could ensure discrete functions. To gain insights into RAS proteins specificities, we explored their proximal protein-protein interaction landscapes using the proximity-dependent biotin identification technology (BioID) in Flp-In T-REx 293 cell lines stably transfected and inducibly expressing wild type KRAS4B, NRAS or HRAS. We identified more than 800 high-confidence proximal interactors, allowing us to propose an unprecedented comparative analysis of wild type RAS paralogs protein networks. These data bring novel information on poorly characterized RAS functions, e.g., its putative involvement in metabolic pathways, and on shared as well as paralog-specific protein networks that could partially explain the complexity of RAS functions. These networks of protein interactions open numerous avenues to better understand RAS paralogs biological activities.

Indexed as

BioIDinteractomeprotein–protein interactionRAS paralogs

Identifiers

PMID33187149
PMCPMC7696408
OpenAlexW3102149593

What Socratic holds

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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 Socratic graph.