Genomics

Dataset Information

0

Natural antisense transcripts accumulate for over 70% of maize genes and exhibit genotypic-specific expression patterns


ABSTRACT: Natural Antisense Transcripts (NATs) can regulate gene expression by virtue of their ability to form double-stranded RNA duplexes. To investigate NATs in the maize transcriptome, cDNAs from seedling of two inbred lines (B73 and Mo17) were hybridized to an oligonucleotide microarray designed to validate the expression of in silico detected NATs and to screen for NATs that can anneal to a random set of 3’ UTRs and selected repeats found in 3’ UTRs regions. Quantitative Real-Time PCR experiments were conducted to determine the minimum detection threshold of microarray experiment and to thereby identify genes for which both sense and antisense transcripts accumulate to detectable levels. Two independent approaches, strand-specific RT-PCR and S1 nuclease assays were conducted to validate the results of the microarray experiment. Based on these conservative assays, NATs accumulate in seedlings that can anneal to over 70% of a random set of maize genes. In addition, both sense and antisense transcripts anneal to more than 80% of a set of maize repeats. Significantly, sense and antisense transcripts exhibit significant different expression patterns between the two genotypes. Based on these findings we hypothesize that interactions between sense and antisense transcripts may contribute to the differential patterns of gene expression in maize hybrids and to heterosis. Keywords: Global antisense transcripts profiling between two maize inbreds

ORGANISM(S): Zea mays

PROVIDER: GSE7608 | GEO | 2008/10/09

SECONDARY ACCESSION(S): PRJNA100171

REPOSITORIES: GEO

Similar Datasets

2010-06-25 | E-GEOD-7608 | biostudies-arrayexpress
| phs000937 | dbGaP
2015-05-28 | GSE66728 | GEO
2015-05-28 | GSE66727 | GEO
2015-05-28 | E-GEOD-66727 | biostudies-arrayexpress
2015-05-28 | E-GEOD-66728 | biostudies-arrayexpress
2015-05-19 | GSE68979 | GEO
2015-05-19 | E-GEOD-68979 | biostudies-arrayexpress
2013-12-23 | E-GEOD-49382 | biostudies-arrayexpress
2013-12-23 | GSE49382 | GEO