Evidence map›Paper›PMID 27307780›Full record

ArticleClinical proteomics2016

Phosphotyrosine profiling of curcumin-induced signaling.

Gajanan Sathe, Sneha M Pinto, Nazia Syed, Vishalakshi Nanjappa, Hitendra S Solanki, Santosh Renuse, Sandip Chavan, Aafaque Ahmad Khan, Arun H Patil, Raja Sekhar Nirujogi and 5 more

Abstract read
In one paragraph

Article in Clinical proteomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Phosphotyrosine Profiling Using SILAC.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Review
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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

15 authors.

Gajanan Sathe *Institute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Sneha M Pinto *Institute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Nazia SyedInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Vishalakshi NanjappaInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Hitendra S SolankiInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Santosh RenuseInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Sandip ChavanInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Aafaque Ahmad KhanInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Arun H PatilInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Raja Sekhar NirujogiInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Bipin NairAmrita School of Biotechnology, Amrita University, Kollam, 690525 India.
Premendu Prakash MathurSchool of Biotechnology, KIIT University, Bhubaneswar, 751024 India.
T S Keshava PrasadInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Harsha GowdaInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.
Aditi ChatterjeeInstitute of Bioinformatics, Unit I, 7th Floor, Discoverer Building, International Tech Park, Bangalore, 560066 India.ORCID 0000-0002-6518-095X

Funding

Proteome Characterization Center: A Genoproteomics Pipeline for Cance ResearchU24CA160036 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2011 to 2016
$10.7M
NCI NIH HHS U24 CA160036
6 · The paper itself

Abstract

backgroundCurcumin, derived from the rhizome Curcuma longa, is a natural anti-cancer agent and has been shown to inhibit proliferation and survival of tumor cells. Although the anti-cancer effects of curcumin are well established, detailed understanding of the signaling pathways altered by curcumin is still lacking. In this study, we carried out SILAC-based quantitative proteomic analysis of a HNSCC cell line (CAL 27) to investigate tyrosine signaling in response to curcumin.

resultsUsing high resolution Orbitrap Fusion Tribrid Fourier transform mass spectrometer, we identified 627 phosphotyrosine sites mapping to 359 proteins. We observed alterations in the level of phosphorylation of 304 sites corresponding to 197 proteins upon curcumin treatment. We report here for the first time, curcumin-induced alterations in the phosphorylation of several kinases including TNK2, FRK, AXL, MAPK12 and phosphatases such as PTPN6, PTPRK, and INPPL1 among others. Pathway analysis revealed that the proteins differentially phosphorylated in response to curcumin are known to be involved in focal adhesion kinase signaling and actin cytoskeleton reorganization.

conclusionsThe study indicates that curcumin may regulate cellular processes such as proliferation and migration through perturbation of the focal adhesion kinase pathway. This is the first quantitative phosphoproteomics-based study demonstrating the signaling events that are altered in response to curcumin. Considering the importance of curcumin as an anti-cancer agent, this study will significantly improve the current knowledge of curcumin-mediated signaling in cancer.

Indexed as

CurcuminIn vivo labelingOral cancerPhosphoproteomics

Identifiers

PMID27307780
PMCPMC4908701

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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.