Evidence map›Paper›PMID 19668365›Full record

ArticlePloS one2009

Testing and validation of high density resequencing microarray for broad range biothreat agents detection.

Tomasz A Leski, Baochuan Lin, Anthony P Malanoski, Zheng Wang, Nina C Long, Carolyn E Meador, Brian Barrows, Sofi Ibrahim, Justin P Hardick, Mohamed Aitichou and 3 more

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
4.0field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 60 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Viral Hemorrhagic Fever Diagnostics.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2016
    Review
  7. Article
  8. Waterborne pathogens: detection methods and challenges.Pathogens (Basel, Switzerland) · 2015
    Review
  9. Article
  10. Article
  11. Molecular diagnostic and genetic characterization of highly pathogenic viruses: application during Crimean-Congo haemorrhagic fever virus outbreaks in Eastern Europe and the Middle East.Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases · 2013
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Microarrays for pathogen detection and analysis.Briefings in functional genomics · 2011
    Review
  18. Article
  19. Article
  20. 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

13 authors at 7 institutions in 1 country.

Tomasz A LeskiCenter for Bio/Molecular Science and Engineering, Code 6900, Naval Research Laboratory, Washington, DC, USA.
Baochuan Lin
Anthony P Malanoski
Zheng Wang
Nina C Long
Carolyn E Meador
Brian Barrows
Sofi Ibrahim
Justin P Hardick
Mohamed Aitichou
Joel M Schnur
Clark Tibbetts
David A Stenger
Nova Research Company (United States) · USUnited States Naval Research Laboratory · USGeorge Mason University · USNational Academies of Sciences, Engineering, and Medicine · USNaval Research Laboratory Center for Bio/Molecular Science and EngineeringTessArae (United States) · USUnited States Army Medical Research Institute of Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid and effective detection and identification of emerging microbiological threats and potential biowarfare agents is very challenging when using traditional culture-based methods. Contemporary molecular techniques, relying upon reverse transcription and/or polymerase chain reaction (RT-PCR/PCR) provide a rapid and effective alternative, however, such assays are generally designed and optimized to detect only a limited number of targets, and seldom are capable of differentiation among variants of detected targets. To meet these challenges, we have designed a broad-range resequencing pathogen microarray (RPM) for detection of tropical and emerging infectious agents (TEI) including biothreat agents: RPM-TEI v 1.0 (RPM-TEI). The scope of the RPM-TEI assay enables detection and differential identification of 84 types of pathogens and 13 toxin genes, including most of the class A, B and C select agents as defined by the Centers for Disease Control and Prevention (CDC, Atlanta, GA). Due to the high risks associated with handling these particular target pathogens, the sensitivity validation of the RPM-TEI has been performed using an innovative approach, in which synthetic DNA fragments are used as templates for testing the assay's limit of detection (LOD). Assay specificity and sensitivity was subsequently confirmed by testing with full-length genomic nucleic acids of selected agents. The LOD for a majority of the agents detected by RPM-TEI was determined to be at least 10(4) copies per test. Our results also show that the RPM-TEI assay not only detects and identifies agents, but is also able to differentiate near neighbors of the same agent types, such as closely related strains of filoviruses of the Ebola Zaire group, or the Machupo and Lassa arenaviruses. Furthermore, each RPM-TEI assay results in specimen-specific agent gene sequence information that can be used to assess pathogenicity, mutations, and virulence markers, results that are not generally available from multiplexed RT-PCR/PCR-based detection assays.

Indexed as

Biological WarfareLimit of DetectionOligonucleotide Array Sequence AnalysisPolymerase Chain Reaction

Identifiers

PMID19668365
PMCPMC2719057
OpenAlexW2005325674

What OpenQuestion holds

Textmetadata
LicenceCC0
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.