Evidence map›Paper›PMID 25205563›Full record

ArticleCurrent protocols in chemical biology2014

Quantification of protein kinase enzymatic activity in unfractionated cell lysates using CSox-based sensors.

Jon R Beck, Laura B Peterson, Barbara Imperiali, Cliff I Stains

Open access · bronzeAbstract read
In one paragraph

Article in Current protocols in chemical biology, 2014. 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
1.3field-weighted citation impact, top 24% 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, 17 citations in OpenAlex.

  1. Review
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  8. Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors.Methods in molecular biology (Clifton, N.J.) · 2017
    Article
  9. 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

4 authors at 2 institutions in 1 country.

Jon R BeckDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska.
Laura B PetersonDepartment of Biology and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Barbara ImperialiDepartment of Biology and Department of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Cliff I StainsDepartment of Chemistry, University of Nebraska-Lincoln, Lincoln, Nebraska.
Massachusetts Institute of Technology · USUniversity of Nebraska–Lincoln · US

Funding

Tumor Cell Networks CenterU54CA112967 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LAUFFENBURGER, DOUGLAS A · 2004 to 2015
$26.2M
A systems approach for profiling kinase activities in the DNA damage responseF32GM102992 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI PETERSON, LAURA BETH · 2012 to 2013
$91k
NCI NIH HHS U54 CA112967NCI NIH HHS U54-CA112967NIGMS NIH HHS F32 GM102992
6 · The paper itself

Abstract

Defining perturbations in protein kinase activity within biological samples can provide insight into disease mechanisms as well as potential targets for drug development. In this article, we present a method that utilizes a phosphorylation-sensitive amino acid, termed CSox, to afford kinase-selective biosensors capable of reporting on enzymatic activity directly in biological samples. These sensors produce an increase in fluorescence in response to phosphorylation of an amino acid residue adjacent to CSox. Probes can be designed for either serine/threonine or tyrosine kinases, and analysis can be performed using standard fluorescence equipment. The procedures provided herein represent our optimized protocols for the design, validation, and application of CSox-based protein kinase activity sensors.

Indexed as

Amino AcidsAnimalsBiosensing TechniquesCell-Free SystemCells, CulturedFluorescenceMolecular ProbesPhosphorylationProtein KinasesAmino AcidsMolecular ProbesProtein Kinasescell signalingfluorescence-based biosensorkinase activity assaykinase activity profilingphosphorylation

Identifiers

PMID25205563
PMCPMC4174361
OpenAlexW1489171502

What OpenQuestion holds

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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.