Evidence map›Paper›PMID 23576224›Full record

ReviewBiopolymers2014

Chemical biology approaches to study protein cysteine sulfenylation.

Jia Pan, Kate S Carroll

Abstract readReview
In one paragraph

Review in Biopolymers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. HThe Journal of biological chemistry · 2020
    Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. The Expanding Landscape of the Thiol Redox Proteome.Molecular & cellular proteomics : MCP · 2016
    Review
  15. Article
  16. T cells and reactive oxygen species.Journal of biomedical science · 2015
    Review
  17. Article
  18. Thiol-based redox switches.Biochimica et biophysica acta · 2014
    Review
  19. 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.

Jia PanDepartment of Chemistry, The Scripps Research Institute, Jupiter, FL, 33456.
Kate S Carroll

Funding

Probing the role of cysteine sulfenylation in cell signalingR01GM102187 · NIGMS · UNIVERSITY OF FLORIDA · PI Kate Suzanne Carroll · 2012 to 2026
$4.6M
Nucleophilic Inhibitors for Targeting Redox-Sensitive KinasesR01CA174864 · NCI · SCRIPPS FLORIDA · PI CARROLL, KATE SUZANNE · 2014 to 2017
$1.6M
NCI NIH HHS R01 CA174864NIGMS NIH HHS GM102187NIGMS NIH HHS R01 GM102187
6 · The paper itself

Abstract

The oxidation of cysteine thiol side chains by hydrogen peroxide to afford protein sulfenyl modifications is an important mechanism in signal transduction. In addition, aberrant protein sulfenylation contributes to a range of human pathologies, including cancer. Efforts to elucidate the roles of protein sulfenylation in physiology and disease have been hampered by the lack of techniques to probe these modifications in native environments with molecular specificity. In this review, we trace the history of chemical and biological methods that have been developed to detect protein sulfenylation and illustrate how a recent cell-permeable chemical reporter, DYn-2, has been used to detect and identify intracellular targets of endogenous H2 O2 during growth factor signaling, including the epidermal growth factor receptor. The array of new tools and methods discussed herein enables the discovery of new biological roles for cysteine sulfenylation in human health and disease.

Indexed as

AnimalsBiochemistryCysteineHumansOxidation-ReductionProteinsSpectrum AnalysisSulfenic AcidsCysteineProteinsSulfenic Acidsproteinprotein sulfenylationsignal transduction

Identifiers

PMID23576224
PMCPMC3919879

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.