Evidence map›Paper›PMID 29449344›Full record

ArticleMolecular & cellular proteomics : MCP2018

Defeating Major Contaminants in Fe

Clement M Potel, Miao-Hsia Lin, Albert J R Heck, Simone Lemeer

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
6.1field-weighted citation impact, top 2% 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

39 citing papers in PubMed, 91 citations in OpenAlex.

  1. Virulence · 2026
    Article
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  8. In-Depth Analysis of Tissue Phosphoproteomics with TiOMethods in molecular biology (Clifton, N.J.) · 2025
    Article
  9. [Progress in enrichment methods for proteinSe pu = Chinese journal of chromatography · 2024
    Review
  10. Article
  11. Review
  12. Article
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  15. Review
  16. Article
  17. Article
  18. Widespread Arginine Phosphorylation in Staphylococcus aureus.Molecular & cellular proteomics : MCP · 2022
    Article
  19. Article
  20. 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

4 authors at 1 institution in 1 country.

Clement M PotelFrom the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Miao-Hsia LinFrom the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.
Albert J R HeckFrom the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands.ORCID 0000-0002-2405-4404
Simone LemeerFrom the ‡Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute of Pharmaceutical Sciences, Utrecht University, Utrecht, The Netherlands s.m.lemeer@uu.nl.ORCID 0000-0002-6230-9471
Utrecht University · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here we demonstrate that biomolecular contaminants, such as nucleic acid molecules, can seriously interfere with immobilized metal ion affinity chromatography (IMAC)-based phosphopeptide enrichments. We address and largely solve this issue, developing a robust protocol implementing methanol/chloroform protein precipitation and enzymatic digestion using benzonase, which degrades all forms of DNA and RNA, before IMAC-column loading. This simple procedure resulted in a drastic increase of enrichment sensitivity, enabling the identification of around 17,000 unique phosphopeptides and 12,500 unambiguously localized phosphosites in human cell-lines from a single LC-MS/MS run, constituting a 50% increase when compared with the standard protocol. The improved protocol was also applied to bacterial samples, increasing the number of identified bacterial phosphopeptides even more strikingly, by a factor 10, when compared with the standard protocol. For

Indexed as

Chromatography, AffinityHEK293 CellsHeLa CellsHumansIonsIronPhosphopeptidesReference StandardsIonsIronPhosphopeptides

Identifiers

PMID29449344
PMCPMC5930410
OpenAlexW2802134854

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.