Evidence map›Paper›PMID 21715320›Full record

ArticleMolecular & cellular proteomics : MCP2011

Enhancing the identification of phosphopeptides from putative basophilic kinase substrates using Ti (IV) based IMAC enrichment.

Houjiang Zhou, Teck Y Low, Marco L Hennrich, Henk van der Toorn, Thomas Schwend, Hanfa Zou, Shabaz Mohammed, Albert J R Heck

Erratum issuedOpen access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
7.3field-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

40 citing papers in PubMed, 95 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Amorphous TiOACS omega · 2019
    Article
  11. Article
  12. Article
  13. Article
  14. Defeating Major Contaminants in FeMolecular & cellular proteomics : MCP · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Development of a tandem affinity phosphoproteomic method with motif selectivity and its application in analysis of signal transduction networks.Journal of chromatography. B, Analytical technologies in the biomedical and life sciences · 2015
    Article
  19. Review
  20. Review
4 · The record

Corrections and comments

  • Erratum issued
    Mohammed, Shabaz [added]
5 · Who and what money

Authors and funding

8 authors at 2 institutions in 2 countries.

Houjiang ZhouBiomolecular Mass Spectrometry and Proteomics Group, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Padualaan 8, 3584 CH Utrecht, the Netherlands.
Teck Y Low
Marco L Hennrich
Henk van der Toorn
Thomas Schwend
Hanfa Zou
Shabaz Mohammed
Albert J R Heck
Utrecht University · NLDalian Institute of Chemical Physics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal and metal oxide chelating-based phosphopeptide enrichment technologies provide powerful tools for the in-depth profiling of phosphoproteomes. One weakness inherent to current enrichment strategies is poor binding of phosphopeptides containing multiple basic residues. The problem is exacerbated when strong cation exchange (SCX) is used for pre-fractionation, as under low pH SCX conditions phosphorylated peptides with multiple basic residues elute with the bulk of the tryptic digest and therefore require more stringent enrichment. Here, we report a systematic evaluation of the characteristics of a novel phosphopeptide enrichment approach based on a combination of low pH SCX and Ti(4+)-immobilized metal ion affinity chromatography (IMAC) comparing it one-to-one with the well established low pH SCX-TiO(2) enrichment method. We also examined the effect of 1,1,1,3,3,3-hexafluoroisopropanol (HFP), trifluoroacetic acid (TFA), or 2,5-dihydroxybenzoic acid (DHB) in the loading buffer, as it has been hypothesized that high levels of TFA and the perfluorinated solvent HFP improve the enrichment of phosphopeptides containing multiple basic residues. We found that Ti(4+)-IMAC in combination with TFA in the loading buffer, outperformed all other methods tested, enabling the identification of around 5000 unique phosphopeptides containing multiple basic residues from 400 μg of a HeLa cell lysate digest. In comparison, ∼ 2000 unique phosphopeptides could be identified by Ti(4+)-IMAC with HFP and close to 3000 by TiO(2). We confirmed, by motif analysis, the basic phosphopeptides enrich the number of putative basophilic kinases substrates. In addition, we performed an experiment using the SCX/Ti(4+)-IMAC methodology alongside the use of collision-induced dissociation (CID), higher energy collision induced dissociation (HCD) and electron transfer dissociation with supplementary activation (ETD) on considerably more complex sample, consisting of a total of 400 μg of triple dimethyl labeled MCF-7 digest. This analysis led to the identification of over 9,000 unique phosphorylation sites. The use of three peptide activation methods confirmed that ETD is best capable of sequencing multiply charged peptides. Collectively, our data show that the combination of SCX and Ti(4+)-IMAC is particularly advantageous for phosphopeptides with multiple basic residues.

Indexed as

Chemical FractionationAmino Acids, BasicBasophilsCation Exchange ResinsChromatography, AffinityChromatography, Ion ExchangeFluorocarbonsGentisatesHeLa CellsHumansHydrocarbons, FluorinatedHydrogen-Ion ConcentrationMass SpectrometryPhosphopeptidesPhosphotransferasesPropane1,1,1,3,3,3-hexafluoropropane2,5-dihydroxybenzoic acidAmino Acids, BasicCation Exchange ResinsFluorocarbonsGentisatesHydrocarbons, FluorinatedPhosphopeptidesPhosphotransferasesPropaneTitaniumTrifluoroacetic Acid

Identifiers

PMID21715320
PMCPMC3205857
OpenAlexW2125574061

What OpenQuestion holds

Textmetadata
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Registered trials

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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.