Evidence map›Paper›PMID 28730472›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2017

Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors.

Jon R Beck, Edward N Harris, Cliff I Stains

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. 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

3 authors at 1 institution in 1 country.

Jon R BeckDepartment of Chemistry, University of Nebraska - Lincoln, 409D Hamilton Hall, 639 N. 12th Street, Lincoln, NE, 68588, USA.
Edward N HarrisDepartment of Biochemistry, University of Nebraska - Lincoln, Lincoln, NE, 68588, USA.
Cliff I StainsDepartment of Chemistry, University of Nebraska - Lincoln, 409D Hamilton Hall, 639 N. 12th Street, Lincoln, NE, 68588, USA. cstains2@unl.edu.
University of Nebraska–Lincoln · US

Funding

Targeted mass spectrometry approaches to understand CART processing and recepter interactionsP20GM113126 · NIGMS · UNIVERSITY OF NEBRASKA LINCOLN · PI GUO, JIANTAO · 2016 to 2025
$20.8M
Liver-Mediated Clearance of Low Molecular Weight HeparinsR01HL130864 · NHLBI · UNIVERSITY OF NEBRASKA LINCOLN · PI HARRIS, EDWARD N · 2016 to 2019
$1.6M
NHLBI NIH HHS R01 HL130864NIGMS NIH HHS P20 GM113126
6 · The paper itself

Abstract

The ability to directly determine endogenous kinase activity in tissue homogenates provides valuable insights into signaling aberrations that underlie disease phenotypes. When activity data is collected across a panel of kinases, a unique "signaling fingerprint" is generated that allows for discrimination between diseased and normal tissue. Here we describe the use of peptide-based kinase activity sensors to fingerprint the signaling changes associated with disease states. This approach leverages the phosphorylation-sensitive sulfonamido-oxine (Sox) fluorophore to provide a direct readout of kinase enzymatic activity in unfractionated tissue homogenates from animal models or clinical samples. To demonstrate the application of this technology, we focus on a rat model of nonalcoholic fatty liver disease (NAFLD). Sox-based activity probes allow for the rapid and straightforward analysis of changes in kinase enzymatic activity associated with disease states, providing leads for further investigation using traditional biochemical approaches.

Indexed as

Biosensing TechniquesSignal TransductionAnimalsDisease Models, AnimalEnzyme ActivationNon-alcoholic Fatty Liver DiseasePhosphorylationPhosphotransferasesRatsPhosphotransferasesCell signalingFluorescence-based biosensorKinase activity assayNonalcoholic fatty liver diseasePhosphorylation

Identifiers

PMID28730472
PMCPMC6623968
OpenAlexW2737620201

What OpenQuestion holds

Textmetadata
LicenceTDM
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.