Evidence map›Paper›PMID 18022413›Full record

ArticleAnalytica chimica acta2007

An immunoaffinity tandem mass spectrometry (iMALDI) assay for detection of Francisella tularensis.

Jian Jiang, Carol E Parker, James R Fuller, Thomas H Kawula, Christoph H Borchers

Abstract read
In one paragraph

Article in Analytica chimica acta, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

18 citing papers in PubMed.

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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

5 authors.

Jian JiangCurriculum in Applied and Materials Sciences, UNC-CH, Chapel Hill, NC, United States.
Carol E Parker
James R Fuller
Thomas H Kawula
Christoph H Borchers

Funding

Yessinia autotransporters (Yaps): Structure, function, and host responseU54AI057157 · NIAID · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SEMPOWSKI, GREGORY D · 2003 to 2013
$91.4M
NIAID NIH HHS 5U54AI057157-04NIAID NIH HHS U54 AI057157
6 · The paper itself

Abstract

Francisella tularensis (F. tularensis) has been designated by the CDC as 1 of the 10 organisms most likely to be engineered for bioterrorism. Symptoms of tularemia in humans are non-specific, thus making the disease difficult to diagnose. If not quickly diagnosed and treated, the disease has a high mortality rate--thus methods for early and specific diagnosis are of critical importance. This immunoaffinity MALDI MS/MS (iMALDI) assay provides unambiguous detection of F. tularensis peptides at attomole levels from peptide solutions, and at low CFU levels from bacteria. The addition of stable-labeled versions of the peptide as internal standards allows absolute quantitation of F. tularensis peptides with a linear dynamic range spanning two orders of magnitude. The ability of mass spectrometry to obtain amino acid sequence data on affinity-captured peptides provides absolute specificity and avoids "false positives" from the non-specific binding. The F. tularensis iMALDI assay has been applied to different samples, such as nasal swabs. This novel quantitative diagnostic F. tularensis iMALDI assay allows the safe, sensitive, and specific detection of F. tularensis. The assay can be easily adapted to other target peptides and therefore has broad application potential in clinical diagnosis of other pathogens and diseases.

Indexed as

Amino Acid SequenceBacterial ProteinsEnzyme-Linked Immunosorbent AssayFrancisella tularensisHumansImmunochemistryMolecular Sequence DataSensitivity and SpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationTandem Mass SpectrometryTularemiaBacterial Proteins

Identifiers

PMID18022413
PMCPMC2135554

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.