analysis of antisense expression by whole genome tiling microarrays and sirnas suggests mis-annotation of arabidopsis orphan protein-coding genes分析全基因组的反义表达花砖微阵列和拟南芥sirnas表明mis-annotation孤儿蛋白编码基因.pdfVIP
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analysis of antisense expression by whole genome tiling microarrays and sirnas suggests mis-annotation of arabidopsis orphan protein-coding genes分析全基因组的反义表达花砖微阵列和拟南芥sirnas表明mis-annotation孤儿蛋白编码基因
Analysis of Antisense Expression by Whole Genome Tiling Microarrays and siRNAs Suggests Mis-Annotation of Arabidopsis Orphan Protein-Coding Genes 1 1 2 1 3 Casey R. Richardson , Qing-Jun Luo , Viktoria Gontcharova , Ying-Wen Jiang , Manoj Samanta , 2 1 Eunseog Youn , Christopher D. Rock * 1 Department of Biological Sciences, Texas Tech University, Lubbock, Texas, United States of America, 2 Department of Computer Science, Texas Tech University, Lubbock, Texas, United States of America, 3 Systemix Institute, Redmond, Washington, United States of America Abstract Background: MicroRNAs (miRNAs) and trans-acting small-interfering RNAs (tasi-RNAs) are small (20–22 nt long) RNAs (smRNAs) generated from hairpin secondary structures or antisense transcripts, respectively, that regulate gene expression by Watson-Crick pairing to a target mRNA and altering expression by mechanisms related to RNA interference. The high sequence homology of plant miRNAs to their targets has been the mainstay of miRNA prediction algorithms, which are limited in their predictive power for other kingdoms because miRNA complementarity is less conserved yet transitive processes (production of antisense smRNAs) are active in eukaryotes. We hypothesize that antisense transcription and associated smRNAs are biomarkers which can be computationally modeled for gene discovery. Principal Findings: We explored rice (Oryza sativa) sense and antisense gene expression in publicly available whole genome tiling array transcriptome data and sequenced smRNA libraries (as well as C. elegans) and found evidence of transitivity of MIRNA genes similar to that found in Arabidopsis. Statistical ana
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