Evidence map›Paper›PMID 30679688›Full record

ArticleScientific reports2019

Development of Highly Sensitive Biosensors of RAF Dimerization in Cells.

Kyoko Miyamoto, Masaaki Sawa

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.4field-weighted citation impact, top 39% 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

7 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. BRAFScience advances · 2023
    Article
  5. Article
  6. Review
  7. 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

2 authors at 2 institutions in 2 countries.

Kyoko MiyamotoCarnaBio USA, Inc., 329 Oyster Point Boulevard, Suite 300, South San Francisco, CA, 94080, USA. kyoko.miyamoto@carnabio.com.
Masaaki SawaCarnaBio USA, Inc., 329 Oyster Point Boulevard, Suite 300, South San Francisco, CA, 94080, USA.ORCID 0000-0002-0077-2188
CAO Group (United States) · USKajima Corporation (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The BRAF inhibitors dabrafenib and vemurafenib induce remarkable clinical responses in patients with BRAF-mutated melanomas. However, adverse events, including the emergence of secondary tumors and drug resistance, have been reported. Studies have revealed that undesirable RAF dimerization induced by inhibitors promotes these adverse effects. Here, we developed highly sensitive biosensors of RAF dimerization in cells utilizing the split enhanced click beetle luciferase (Emerald Luc, ELuc) complementation technique. We demonstrated that our biosensor system works effectively for high-throughput screens in the microplate format. A comprehensive analysis of commercially available RAF inhibitors performed using this assay system revealed that the inhibitors exhibit various potencies in inducing the dimerization of RAF isoforms, and their dimerization potencies do not always correlate with the RAF enzyme inhibition. This sensitive assay system will become a powerful tool to discover next-generation BRAF inhibitors with safer profiles.

Indexed as

BenzothiazolesBiosensing TechniquesCell Line, TumorDimerizationHeterocyclic Compounds, 2-RingHumansImidazolesMelanomaNitrilesOximesPhenylurea CompoundsProtein Kinase InhibitorsProtein MultimerizationProto-Oncogene Proteins B-rafPyrimidinesSulfonamidesBenzothiazolesdabrafenibHeterocyclic Compounds, 2-RingImidazolesLY3009120NitrilesOximesPhenylurea CompoundsPLX7904Protein Kinase InhibitorsProto-Oncogene Proteins B-rafPyrimidinesSulfonamidesTAK-632Vemurafenib

Identifiers

PMID30679688
PMCPMC6345758
OpenAlexW2913789647

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.