Evidence map›Paper›PMID 15815017›Full record

ArticleJournal of clinical microbiology2005

env Gene typing of human immunodeficiency virus type 1 strains on electronic microarrays.

N A Saunders, S Alexander, I Tatt

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

N A SaundersGenomics Proteomics Bioinformatics Unit, Centre for Infections, HPA (Colindale), 61 Colindale Ave., London NW9 5HT, UK. nick.saunders@hpa.org.uk
S Alexander
I Tatt

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The NanoChip system was used for subtyping human immunodeficiency virus type 1 (HIV-1) strains using probes complementary to the V1 region of the env gene. Probes for six subtypes (A to D, F, and G) and two circulating recombinant forms (AG and AE) of HIV-1 group M were included. The specificity of these oligonucleotides had been evaluated previously in a DNA enzyme immunoassay. Samples from 112 patient sera were used as templates in a nested reverse transcription-PCR to produce amplicons that were applied to the array. The array was then hybridized successively to pairs of oligonucleotide probes. The strains were assigned a subtype on the basis of their probe hybridization patterns. One strain gave a contradictory pattern and was designated as untypeable by the NanoChip assay. Eighty-eight strains gave hybridization patterns that allowed a correct subtype designation to be made by the NanoChip assay compared to either the sequence or the heteroduplex mobility assay (HMA)-determined subtypes. Thirteen strains that reacted with the subtype A probe (SA2) were incorrectly assigned to subtype A, or to one of the related circulating recombinant types (AE or AG), on the basis of reactions with probe SAE1 or SAG1. The results indicate that these oligonucleotides have relatively low specificities. The probe subtypes of three strains matched the subtypes determined for the gag and pol genes but not the env gene, suggesting that a recombination event may have occurred within the env gene. Overall, the NanoChip assay gave results comparable to those for HMA and sequencing and provides a convenient and cost-effective means by which to subtype HIV-1.

Indexed as

Oligonucleotide Array Sequence AnalysisElectronicsFemaleGenes, envHeteroduplex AnalysisHIV-1HIV InfectionsHumansMaleOligonucleotide ProbesOligonucleotide Probes

Identifiers

PMID15815017
PMCPMC1081343

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.