Evidence map›Paper›PMID 27644970›Full record

ReviewPhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2016

Stable isotope dimethyl labelling for quantitative proteomics and beyond.

Jue-Liang Hsu, Shu-Hui Chen

Open access · bronzeAbstract readReview
In one paragraph

Review in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2016. 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
3.9field-weighted citation impact, top 7% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Review
  2. Review
  3. Phomoxanthone A Targets ATP Synthase.Chemistry (Weinheim an der Bergstrasse, Germany) · 2022
    Article
  4. Article
  5. Quantitative Mass Spectrometry by SILAC in Haloferax volcanii.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  6. Article
  7. Dimethylcysteine (DiCys)/Molecules (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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 2 institutions in 1 country.

Jue-Liang HsuDepartment of Biological Science and Technology, National Pingtung University of Science and Technology, Pingtung, Taiwan, Republic of China jlhsu@mail.npust.edu.tw.
Shu-Hui ChenDepartment of Chemistry, National Cheng Kung University, Tainan City, Taiwan, Republic of China shchen@mail.ncku.edu.tw.
National Cheng Kung University · TWNational Pingtung University of Science and Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stable-isotope reductive dimethylation, a cost-effective, simple, robust, reliable and easy-to- multiplex labelling method, is widely applied to quantitative proteomics using liquid chromatography-mass spectrometry. This review focuses on biological applications of stable-isotope dimethyl labelling for a large-scale comparative analysis of protein expression and post-translational modifications based on its unique properties of the labelling chemistry. Some other applications of the labelling method for sample preparation and mass spectrometry-based protein identification and characterization are also summarized.This article is part of the themed issue 'Quantitative mass spectrometry'.

Indexed as

AnimalsChromatography, LiquidHumansIsotope LabelingMass SpectrometryMethylationProtein Processing, Post-TranslationalProteomicsdimethyl labellingLC-MS/MSpost-translational modificationsquantitative proteomicsstable-isotope labelling

Identifiers

PMID27644970
PMCPMC5031631
OpenAlexW2522728811

What OpenQuestion holds

Textmetadata
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.