Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
2005-4-8
pubmed:abstractText
A method for the isolation of genomic fragments of RNA virus based on cDNA representational difference analysis (cDNA RDA) was developed. cDNA RDA has been applied for the subtraction of poly(A)(+) RNAs but not for poly(A)(-) RNAs, such as RNA virus genomes, owing to the vast quantity of ribosomal RNAs. We constructed primers for inefficient reverse transcription of ribosomal sequences based on the distribution analysis of hexanucleotide patterns in ribosomal RNA. The analysis revealed that distributions of hexanucleotide patterns in ribosomal RNA and virus genome were different. We constructed 96 hexanucleotides (non-ribosomal hexanucleotides) and used them as mixed primers for reverse transcription of cDNA RDA. A synchronous analysis of hexanucleotide patterns in known viral sequences showed that all the known genomic-size viral sequences include non-ribosomal hexanucleotides. In a model experiment, when non-ribosomal hexanucleotides were used as primers, in vitro transcribed plasmid RNA was efficiently reverse transcribed when compared with ribosomal RNA of rat cells. Using non-ribosomal primers, the cDNA fragments of severe acute respiratory syndrome coronavirus and bovine parainfluenza virus 3 were efficiently amplified by subtracting the cDNA amplicons derived from uninfected cells from those that were derived from virus-infected cells. The results suggest that cDNA RDA with non-ribosomal primers can be used for species-independent detection of viruses, including new viruses.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-10872880, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-12730500, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-12917450, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-14627843, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15161495, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15194498, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15306390, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15351204, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15356286, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-15527783, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-1741289, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-1906607, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-7237549, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-7828060, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-7828065, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-7838717, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-7997879, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-8143149, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-8438152, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-8903225, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-8985403, http://linkedlifedata.com/resource/pubmed/commentcorrection/15817564-9498113
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1362-4962
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
33
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
e65
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
Species-independent detection of RNA virus by representational difference analysis using non-ribosomal hexanucleotides for reverse transcription.
pubmed:affiliation
Laboratory of Veterinary Radiology, School of Veterinary Medicine, Rakuno Gakuen University Ebetsu 069-8501, Japan. dendoh@rakuno.ac.jp
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't, Evaluation Studies