Evidence map›Paper›PMID 11825967›Full record

ArticleJournal of clinical microbiology2002

Application of restriction fragment length polymorphism analysis of VP7-encoding genes: fine comparison of Irish and global rotavirus isolates.

F O'Halloran, M Lynch, B Cryan, S Fanning

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical microbiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 33% 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

4 citing papers in PubMed, 17 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

4 authors at 2 institutions in 2 countries.

F O'HalloranMolecular Diagnostics Unit, Cork Institute of Technology, Bishopstown, Ireland.
M Lynch
B Cryan
S Fanning
Cork University Hospital · IEMunster Technological University · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A restriction fragment length polymorphism (RFLP) detection assay was developed to examine the genetic relationship(s) among VP7-encoding genes from 100 Irish rotavirus isolates and 30 randomly selected global rotavirus isolates (from the current databases). RFLP analysis of the VP7 gene segments was performed independently with three enzymes (RsaI, AluI, and EcoRV) in separate reactions by direct digestion of the DNA product amplified by reverse transcriptase (RT)-mediated PCR (RT-PCR) or by using computational methods. Thirty-six RFLP patterns were identified for all 130 strains, and of these, only nine patterns were associated with the Irish isolates. A correlation between the G type of the Irish isolates and certain single or combined enzyme profiles was apparent. These data suggested that the Irish wild-type rotavirus population was homogeneous and could be distinguished by RFLP analysis from global isolates of the same serotype(s). The deduced amino acid sequences of the VP7 RT-PCR products from six Irish isolates known to be of the G serotype revealed significant amino acid substitutions within major antigenic regions. In addition, these data identified the existence of at least two genetic lineages within serotype G1 strains which were distinguishable by RFLP analysis.

Indexed as

Antigens, ViralCapsid ProteinsPolymorphism, Restriction Fragment LengthAmino Acid SequenceCapsidChild, PreschoolGenetic VariationGlobal HealthHumansInfantIrelandMolecular Sequence DataReverse Transcriptase Polymerase Chain ReactionRotavirusRotavirus InfectionsSequence Analysis, DNAAntigens, ViralCapsid ProteinsVP7 protein, Rotavirus

Identifiers

PMID11825967
PMCPMC153395
OpenAlexW1984369618

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.