Evidence map›Paper›PMID 28955766›Full record

ReviewBiochemistry and biophysics reports2017

Multi-PK antibodies: Powerful analytical tools to explore the protein kinase world.

Yasunori Sugiyama, Isamu Kameshita

Open access · goldAbstract readReview
In one paragraph

Review in Biochemistry and biophysics reports, 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
0.4field-weighted citation impact, top 37% 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, 11 citations in OpenAlex.

  1. Strategies in Taxol Development: A Review.Mini reviews in medicinal chemistry · 2025
    Review
  2. Repurposing approved drugs for cancer therapy.British medical bulletin · 2021
    Review
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 1 institution in 1 country.

Yasunori SugiyamaDepartment of Life Sciences, Faculty of Agriculture, Kagawa University, Kagawa 761-0795, Japan.
Isamu KameshitaDepartment of Life Sciences, Faculty of Agriculture, Kagawa University, Kagawa 761-0795, Japan.
Kagawa University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Diverse biological events are regulated through protein phosphorylation mediated by protein kinases. Some of these protein kinases are known to be involved in the pathogenesis of various diseases. Although 518 protein kinase genes were identified in the human genome, it remains unclear how many and what kind of protein kinases are expressed and activated in cells and tissues under varying situations. To investigate cellular signaling by protein kinases, we developed monoclonal antibodies, designated as Multi-PK antibodies, that can recognize multiple protein kinases in various biological species. These Multi-PK antibodies can be used to profile the kinases expressed in cells and tissues, identify the kinases of special interest, and analyze protein kinase expression and phosphorylation state. Here we introduce some applications of Multi-PK antibodies to identify and characterize the protein kinases involved in epigenetics, glucotoxicity in type 2 diabetes, and pathogenesis of ulcerative colitis. In this review, we focus on the recently developed technologies for kinomics studies using the powerful analytical tools of Multi-PK antibodies.

Indexed as

2D-PAGE, two-dimensional polyacrylamide gel electrophoresisCaMK, Ca2+/calmodulin-dependent protein kinaseCDKL5, cyclin-dependent kinase-like 5CNBr, cyanogen bromideDCLK, double-cortin like protein kinaseDnmt1, DNA methyltransferase 1FAK, focal adhesion kinaseIEF, isoelectric focusingIPG, immobilized pH gradientKinomicsMAPK, mitogen-activated protein kinaseMeCP2, methylated-CpG-binding protein 2Monoclonal antibodyProtein kinaseProtein phosphorylationProteomics

Identifiers

PMID28955766
PMCPMC5614692
OpenAlexW2704071283

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.