Project description:The objective of this study is to profile microRNA expressed in embryonic breast muscle of duck, analyze the conservation across multiple species and identify candidate microRNAs associated with duck muscle development. microRNA sequencing analysis was performed using female breast muscle samples at embryonic stage 13th day (E13) and embryonic stage 19th day (E19).
Project description:We deep sequenced and analyzed miRNAs using deep RNA sequencing (RNA-seq) in transported and control duck's duodenum sample of Jingjiang duck. We analyzed the miRNA data with 9467248 reads and 9808143 million reads, obtained 9338224 and 9677777 clean reads in transported and control duck's by high-throughput sequencing, respectively. we respectively gained 4636135 and 4759049 miRNAs sequences in two groups by filtering the known non-miRNA reads, such as rRNA, tRNA, snRNA, and snoRNA by screening against ncRNA deposited in the GenBank and Rfam databases. These findings provided insights into the expression profiles of miRNAs in duck duodenum, and deepened our understanding of miRNAs in transportation injury of duck.
Project description:This SuperSeries is composed of the following subset Series: GSE11027: Chicken versus Quail GSE11028: Duck versus Chicken GSE11029: Duck versus Quail GSE11030: Intra-species comparisons Keywords: SuperSeries Refer to individual Series
Project description:We analyzed small RNAs from three mammalian species, and found that in all these species piRNA-directed targeting is accompanied by the generation of short sequences that have a very precisely defined length and a specific spatial relationship with the guide piRNAs.
Project description:We have generated open-chromatin profiles for liver, muscle, and hypothalamus of indicine cattle through ATAC-seq. Using robust methods for motif discovery, motif enrichment and transcription factor binding sites, we identified potential master regulators of the epigenomic profile in these three tissues, namely HNF1, MEF2 and NFYA factors, respectively. Integration with transcriptomic data allowed us to predict their target genes showing a significant recovery of confirmed targets across species.
