Linked Life Data

16413938

Source:http://linkedlifedata.com/resource/pubmed/id/16413938

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1-2
pubmed:dateCreated
2006-5-2
pubmed:abstractText
The effects of four different labelling methods on signal intensities of a 60-mer diagnostic microarray were studied. Eighty of virus-specific oligonucleotide probes for human influenza virus were prepared in an array of 15x16 spots. RNA samples from cultured human influenza virus strains were labelled with four different methods, including direct cDNA labelling (DL), universal primer labelling (UPL), direct cDNA labelling with restriction display (DL-RD), and Cy-dUTP incorporated cDNA labelling with restriction display (IL-RD) in a signal color format. The background-subtracted signal intensities from five replicate hybridization experiments of each labelling method were analyzed using one-way analysis of variance (one-way ANOVA) and linear regression techniques. The effect of sample labelling method on background-subtracted signal intensities was significant (p<0.001) and multiple comparisons showed the differences existed mainly between DL and the other three labelling methods. The sample labelling method explained about 4.3% of signal intensity. The results demonstrated that UPL and the RD-based methods are more efficient than the conventional DL method for sample labelling, an important variation factor affecting the signal intensities in diagnostic microarrays.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0166-0934
pubmed:author
pubmed:issnType
Print
pubmed:volume
134
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
36-40
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2006
pubmed:articleTitle
The effects of different sample labelling methods on signal intensities of a 60-mer diagnostic microarray.
pubmed:affiliation
Institute of Genetic Engineering, Southern Medical University, Guangzhou, Guangdong 510515, China.
pubmed:publicationType
Journal Article, Comparative Study, Research Support, Non-U.S. Gov't