Evidence map›Paper›PMID 17311101›Full record

ArticlePloS one2007

PathogenMip assay: a multiplex pathogen detection assay.

Michael S Akhras, Sreedevi Thiyagarajan, Andrea C Villablanca, Ronald W Davis, Pål Nyrén, Nader Pourmand

Open access · goldAbstract readValidation Study
In one paragraph

Article in PloS one, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

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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

6 authors at 2 institutions in 2 countries.

Michael S AkhrasStanford Genome Technology Center, Stanford University, Palo Alto, California, United States of America.
Sreedevi Thiyagarajan
Andrea C Villablanca
Ronald W Davis
Pål Nyrén
Nader Pourmand
Stanford University · USKTH Royal Institute of Technology · SE

Funding

WHOLE YEAST GENOME TRANSCRIPTIONAL AND FUNCTIONAL GENE MAPS--A FEASIBILITY STUDYP01HG000205 · NHGRI · STANFORD UNIVERSITY · PI DAVIS, RONALD WAYNE, HOWE, ROGER THOMAS · 1990 to 2016
$120.9M
NHGRI NIH HHS P01 HG000205NHGRI NIH HHS (PO1-HG000205)
6 · The paper itself

Abstract

The Molecular Inversion Probe (MIP) assay has been previously applied to a large-scale human SNP detection. Here we describe the PathogenMip Assay, a complete protocol for probe production and applied approaches to pathogen detection. We have demonstrated the utility of this assay with an initial set of 24 probes targeting the most clinically relevant HPV genotypes associated with cervical cancer progression. Probe construction was based on a novel, cost-effective, ligase-based protocol. The assay was validated by performing pyrosequencing and Microarray chip detection in parallel experiments. HPV plasmids were used to validate sensitivity and selectivity of the assay. In addition, 20 genomic DNA extracts from primary tumors were genotyped with the PathogenMip Assay results and were in 100% agreement with conventional sequencing using an L1-based HPV genotyping protocol. The PathogenMip Assay is a widely accessible protocol for producing and using highly discriminating probes, with experimentally validated results in pathogen genotyping, which could potentially be applied to the detection and characterization of any microbe.

Indexed as

DNA Probes, HPVAlphapapillomavirusDisease ProgressionDNA LigasesDNA, NeoplasmDNA, ViralElectronic Data ProcessingFemaleGenotypeHumansOligonucleotide Array Sequence AnalysisPapillomavirus InfectionsPolymerase Chain ReactionSensitivity and SpecificitySequence Analysis, DNAUterine Cervical NeoplasmsDNA LigasesDNA, NeoplasmDNA Probes, HPVDNA, Viral

Identifiers

PMID17311101
PMCPMC1794193
OpenAlexW2065617480

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.