Evidence map›Paper›PMID 19354265›Full record

ArticleAnalytical chemistry2009

Direct quantitation of peptide mixtures without standards using clusters formed by electrospray ionization mass spectrometry.

Ryan D Leib, Tawnya G Flick, Evan R Williams

Abstract read
In one paragraph

Article in Analytical chemistry, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Simultaneous quantitation of amino acid mixtures using clustering agents.Journal of the American Society for Mass Spectrometry · 2011
    Article
  3. Article
  4. 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

3 authors.

Ryan D LeibDepartment of Chemistry, University of California, Berkeley, California 94720-1460, USA.
Tawnya G Flick
Evan R Williams

Funding

Protein Conformation and Noncovalent InteractionsR01GM064712 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI WILLIAMS, EVAN R · 2002 to 2009
$2.0M
NIGMS NIH HHS R01 GM064712NIGMS NIH HHS R01GM064712-08
6 · The paper itself

Abstract

In electrospray ionization mass spectrometry, ion abundances depend on a number of different factors, including analyte surface activity, competition between analytes for charge, analyte concentration, as well as instrumental factors, including mass-dependent ion transmission and detection. Here, a novel method for obtaining quantitative information about solution-phase concentrations of peptide mixtures is described and demonstrated for five different peptide mixtures with relative concentrations ranging from 0.05% to 50%. In this method, the abundances of large clusters containing anywhere from 0 to 13 impurity molecules are measured and directly related to the relative solution-phase concentration of the peptides. For clusters containing approximately 15 or more peptides, the composition of the clusters approaches the statistical value indicating that these clusters are formed nonspecifically and that any differences in ion detection or ionization efficiency are negligible at these large cluster sizes. This method is accurate to within approximately 20% or better, even when the relative ion intensities of the protonated monomers can differ by over an order of magnitude compared to their solution-phase concentrations. Although less accurate than other quantitation methods that employ internal standards, this method does have the key advantages of speed, simplicity, and the ability to quantitate components in solution even when the identities of the components are unknown.

Indexed as

BradykininEnkephalin, LeucinePeptidesSpectrometry, Mass, Electrospray IonizationBradykininEnkephalin, LeucinePeptides

Identifiers

PMID19354265
PMCPMC4251781

What OpenQuestion holds

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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.