Evidence map›Paper›PMID 29235040›Full record

ArticleJournal of the American Society for Mass Spectrometry2018

Quantitative Peptidomics with Five-plex Reductive Methylation labels.

Alexandre K Tashima, Lloyd D Fricker

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Journal of the American Society for Mass Spectrometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

14 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Review
  3. Quantitative Peptidomics: General Considerations.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Quantitative Peptidomics Using Reductive Methylation of Amines.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Label-Free Quantitation of Endogenous Peptides.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Comparative gender peptidomics ofThe journal of venomous animals and toxins including tropical diseases · 2020
    Article
  13. Article
  14. 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 at 2 institutions in 2 countries.

Alexandre K TashimaDepartment of Biochemistry, Escola Paulista de Medicina, Federal University of Sao Paulo, Sao Paulo, SP, 04023-901, Brazil. aktashima@unifesp.br.
Lloyd D FrickerDepartment of Molecular Pharmacology, Albert Einstein College of Medicine, Bronx, NY, 10461, USA. Lloyd.Fricker@Einstein.yu.edu.ORCID 0000-0001-5484-9243
Albert Einstein College of Medicine · USUniversidade Federal de São Paulo · BR

Funding

Fundação de Amparo à Pesquisa do Estado de São Paulo 2012/19321-9 and 2016/038390-0
6 · The paper itself

Abstract

Quantitative peptidomics and proteomics often use chemical tags to covalently modify peptides with reagents that differ in the number of stable isotopes, allowing for quantitation of the relative peptide levels in the original sample based on the peak height of each isotopic form. Different chemical reagents have been used as tags for quantitative peptidomics and proteomics, and all have strengths and weaknesses. One of the simplest approaches uses formaldehyde and sodium cyanoborohydride to methylate amines, converting primary and secondary amines into tertiary amines. Up to five different isotopic forms can be generated, depending on the isotopic forms of formaldehyde and cyanoborohydride reagents, allowing for five-plex quantitation. However, the mass difference between each of these forms is only 1 Da per methyl group incorporated into the peptide, and for many peptides there is substantial overlap from the natural abundance of

Indexed as

HEK293 CellsHumansIsotope LabelingMethylationOxidation-ReductionPeptidesProteomicsTandem Mass SpectrometryPeptidesCyanoborohydrideFormaldehydeIsotopic labels

Identifiers

PMID29235040
OpenAlexW2772704203

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.