Evidence map›Paper›PMID 22866021›Full record

ArticleInternational journal of mass spectrometry2011

Identification of Phosphorylated Human Peptides by Accurate Mass Measurement Alone.

Yuan Mao, Leonid Zamdborg, Neil L Kelleher, Christopher L Hendrickson, Alan G Marshall

Open access · greenAbstract read
In one paragraph

Article in International journal of mass spectrometry, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact, top 93% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Multimodal Tandem Mass Spectrometry Techniques for the Analysis of Phosphopeptides.Journal of the American Society for Mass Spectrometry · 2022
    Article
  2. Article
  3. Novel Concepts of MS-Cleavable Cross-linkers for Improved Peptide Structure Analysis.Journal of the American Society for Mass Spectrometry · 2017
    Article
  4. Article
  5. Article
  6. 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

5 authors at 3 institutions in 1 country.

Yuan MaoDepartment of Chemistry and Biochemistry, Florida State University, 95 Chieftain Way, Tallahassee, Florida 32306, United States.
Leonid Zamdborg
Neil L Kelleher
Christopher L Hendrickson
Alan G Marshall
National High Magnetic Field Laboratory · USUrbana University · USFlorida State University · US

Funding

Eukaryotic Post-Translational ModificationsR01GM067193 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI KELLEHER, NEIL L · 2003 to 2015
$4.0M
Deciphering the Histone Code by Mass Spectrometry and High Dimensional StatisticsF30DA026672 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ZAMDBORG, LEONID · 2010 to 2012
$140k
NIDA NIH HHS F30 DA026672NIGMS NIH HHS R01 GM067193
6 · The paper itself

Abstract

At sufficiently high mass accuracy, it is possible to distinguish phosphorylated from unmodified peptides by mass measurement alone. We examine the feasibility of that idea, tested against a library of all possible in silico tryptic digest peptides from the human proteome database. The overlaps between in silico tryptic digest phosphopeptides generated from known phosphorylated proteins (1-12 sites) and all possible unmodified human peptides are considered for assumed mass error ranges of ±10, ±50, ±100, ±1,000, and ±10,000 ppb. We find that for mass error ±50 ppb, 95% of all phosphorylated human tryptic peptides can be distinguished from nonmodified peptides by accurate mass alone through the entire nominal mass range. We discuss the prospect of on-line LC MS/MS to identify phosphopeptide precursor ions in MS1 for selected dissociation in MS2 to identify the peptide and site(s) of phosphorylation.

Identifiers

PMID22866021
PMCPMC3409838
OpenAlexW1981704689

What OpenQuestion holds

Textmetadata
LicenceTDM
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.