Project description:We systematically identified long noncoding natural antisense transcripts (lncNATs), defined as lncRNAs transcribed from the opposite DNA strand of coding or noncoding genes. We identified in total 37,238 sense-antisense transcript pairs and found 70% mRNAs are associated with antisense transcripts in Arabidopsis. To detect the expression levels of these NAT pairs, we designed an Agilent custom array, ATH NAT array, and analyzed RNA samples from Arabidopsis inflorescences, leaves and roots, with 3 biological replicates each. Expression levels of cis-NAT pairs were investigated in WT inflorescences, leaves and roots with 3 biological replicates.
Project description:We systematically identified long noncoding natural antisense transcripts (lncNATs), defined as lncRNAs transcribed from the opposite DNA strand of coding or noncoding genes. We identified in total 37,238 sense-antisense transcript pairs and found 70% mRNAs are associated with antisense transcripts in Arabidopsis. To detect the expression levels of these NAT pairs, we designed an Agilent custom array, ATH NAT array, and analyzed RNA samples from Arabidopsis inflorescences, leaves and roots, with 3 biological replicates each.
Project description:Deep sequencing of the 5' ends of uncapped, polyA-enriched mRNA from two biological replicate samples from Arabidopsis thaliana inflorescences, as well as two biological replicates of Arabidopsis lyrata inflorescences. These data were used to experimentally identify sliced microRNA targets from the two species.
Project description:We sequenced the total RNA from a tissues mixed sample (inflorescences, rosette leaves, cauline leaves and stems) of Arabidopsis thaliana. After total RNA extraction, the same amount of tissue RNA were mixed. Ribosomal RNAs were deleted from the mixed tissue total RNAs using RiboMinus™ Plant Kit repeated three times. We also sequenced 9 poly(A)- RNAs from seedlings treated with different stress conditions at different times. The poly(A)- RNAs were collected by removing poly(A)+ RNAs four times . Then rRNAs were removed from poly(A)- RNAs three times.
Project description:Long intergenic noncoding RNAs (lincRNA) transcribed from intergenic regions of eukaryotic genomes play important roles in key biological processes; yet, plant lincRNAs remain poorly characterized. Here we profiled lincRNA expression in inflorescences, leaves and roots using ATH lincRNA v1 array. we found 92% lincRNAs could be detected in at least 2 ATH lincRNA v1 arrays and majority of the lincRNAs were expressed at levels higher than those of pri-miRNAs but lower than those of mRNAs.Using a cut-off of 2-fold change, we identified 149 lincRNAs preferentially expressed in inflorescences, 232 in leaves and 164 in roots.
Project description:Long intergenic noncoding RNAs (lincRNA) transcribed from intergenic regions of eukaryotic genomes play important roles in key biological processes; yet, plant lincRNAs remain poorly characterized. Here we profiled lincRNA expression in inflorescences, leaves and roots using ATH lincRNA v1 array. we found 92% lincRNAs could be detected in at least 2 ATH lincRNA v1 arrays and majority of the lincRNAs were expressed at levels higher than those of pri-miRNAs but lower than those of mRNAs.Using a cut-off of 2-fold change, we identified 149 lincRNAs preferentially expressed in inflorescences, 232 in leaves and 164 in roots. Nine arrays were hybridized with RNAs from inflorescences, leaves and roots with 3 biological replicates.
Project description:Magnesium (Mg) is essential for many biological processes in plant cells and its deficiency causes yield reduction in crop systems. Low Mg status reportedly impacts on photosynthesis, sucrose partitioning and biomass allocation. However, earlier responses to Mg deficiency are scarcely described. Generally, symptoms of nutrient deficiency appear in specific ages of leaves. Therefore, we hypothesised that transcriptional responses to Mg deficiency are different depending on the ages of leaves, and performed a global transcriptomic analysis in two types of leaves; source and sink leaves of the model plant species Arabidopsis thaliana to reveal the earlier responses to Mg deficiency. The global transcriptomic study revealed that short-term Mg deficiency triggers the expression of defence response genes in sink leaves. In roots, although short-term Mg deficiency enhanced the Mg2+ uptake from the environmnet, transcriptional levels of genes encoding putative Mg2+ transporters in roots were unchanged, suggesting non-transcriptional regulation of Mg2+ uptake in roots.