Evidence map›Paper›PMID 25184817›Full record

ArticleJournal of proteome research2014

Differential ion mobility spectrometry coupled to tandem mass spectrometry enables targeted leukemia antigen detection.

Udara Dharmasiri, Samantha L Isenberg, Gary L Glish, Paul M Armistead

Abstract read
In one paragraph

Article in Journal of proteome research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.3field-weighted citation impact, top 22% 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

9 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  7. To What Extent is FAIMS Beneficial in the Analysis of Proteins?Journal of the American Society for Mass Spectrometry · 2016
    Article
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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.

Udara DharmasiriLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill , 450 West Drive, 21-244, Chapel Hill, North Carolina 27599, United States.
Samantha L Isenberg
Gary L Glish
Paul M Armistead
University of North Carolina at Chapel Hill · US

Funding

Leukemia Stem Cell Antigen Discovery Using Advanced Genomic and Proteomic MethodsK08HL113594 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ARMISTEAD, PAUL MICHAEL · 2012 to 2014
$396k
NHLBI NIH HHS K08 HL113594
6 · The paper itself

Abstract

Differential ion mobility spectrometry (DIMS) can be used as a filter to remove undesired background ions from reaching the mass spectrometer. The ability to use DIMS as a filter for known analytes makes DIMS coupled to tandem mass spectrometry (DIMS-MS/MS) a promising technique for the detection of cancer antigens that can be predicted by computational algorithms. In experiments using DIMS-MS/MS that were performed without the use of high-performance liquid chromatography (HPLC), a predicted model antigen, GLR (FLSSANEHL), was detected at a concentration of 10 pM (20 amol) in a mixture containing 94 competing model peptide antigens, each at a concentration of 1 μM. Without DIMS filtering, the GLR peptide was undetectable in the mixture even at 100 nM. Again, without using HPLC, DIMS-MS/MS was used to detect 2 of 3 previously characterized antigens produced by the leukemia cell line U937.A2. Because of its sensitivity, a targeted DIMS-MS/MS methodology can likely be used to probe for predicted cancer antigens from cancer cell lines as well as human tumor samples.

Indexed as

AlgorithmsAntigens, NeoplasmCell Line, TumorHumansLeukemiaModels, ChemicalTandem Mass SpectrometryAntigens, Neoplasmcancer antigenDifferential ion mobility spectrometryDIMSFAIMSmass spectrometry

Identifiers

PMID25184817
PMCPMC4184456
OpenAlexW2334330797

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.