Evidence map›Paper›PMID 29042862›Full record

ArticleFrontiers in plant science2017

Highly Efficient Single-Step Enrichment of Low Abundance Phosphopeptides from Plant Membrane Preparations.

Xu Na Wu, Lin Xi, Heidi Pertl-Obermeyer, Zhi Li, Liang-Cui Chu, Waltraud X Schulze

Open access · goldAbstract read
In one paragraph

Article in Frontiers in plant science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 20% 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

11 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Article
  9. Phosphoproteomics Profiling of Receptor Kinase Mutants.Methods in molecular biology (Clifton, N.J.) · 2021
    Article
  10. Large-Scale Phosphoproteomic Study ofInternational journal of molecular sciences · 2020
    Article
  11. 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

6 authors at 1 institution in 1 country.

Xu Na WuDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Lin XiDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Heidi Pertl-ObermeyerDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Zhi LiDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Liang-Cui ChuDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
Waltraud X SchulzeDepartment of Plant Systems Biology, University of Hohenheim, Stuttgart, Germany.
University of Hohenheim · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass spectrometry (MS)-based large scale phosphoproteomics has facilitated the investigation of plant phosphorylation dynamics on a system-wide scale. However, generating large scale data sets for membrane phosphoproteins usually requires fractionation of samples and extended hands-on laboratory time. To overcome these limitations, we developed "ShortPhos," an efficient and simple phosphoproteomics protocol optimized for research on plant membrane proteins. The optimized workflow allows fast and efficient identification and quantification of phosphopeptides, even from small amounts of starting plant materials. "ShortPhos" can produce label-free datasets with a high quantitative reproducibility. In addition, the "ShortPhos" protocol recovered more phosphorylation sites from membrane proteins, especially plasma membrane and vacuolar proteins, when compared to our previous workflow and other membrane-based data in the PhosPhAt 4.0 database. We applied "ShortPhos" to study kinase-substrate relationships within a nitrate-induction experiment on

Indexed as

kinase substrate relationshipmembrane proteinnitrate signalingphosphorylationproteomics

Identifiers

PMID29042862
PMCPMC5632542
OpenAlexW2759262406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.