Project description:This SuperSeries is composed of the following subset Series: GSE17333: Oogenesis in Solea senegalensis: Vitellogenic versus mature ovaries GSE17334: Oogenesis in Solea senegalensis: vitellogenic versus atretic ovaries GSE17335: Oogenesis in Solea senegalensis: mature versus atretic ovaries GSE17336: Oogenesis in Solea senegalensis: Previtellogenic versus vitellogenic ovaries Refer to individual Series
Project description:This SuperSeries is composed of the following subset Series: GSE21634: Transcriptional profiling of flatfish (Solea senegalensis) spermatogenesis_1 GSE21635: Transcriptional profiling of flatfish (Solea senegalensis) spermatogenesis_2 GSE21637: Transcriptional profiling of flatfish (Solea senegalensis) spermatogenesis_3 Refer to individual Series
Project description:This dataset includes RNAseq data of 7 tissues/developmental stages of Lathyrus sativus genotype LSWT11 and 2 tissues with drought- and well-watered treatments of Lathyrus sativus genotypes LS007 and Mahateora. These data were used in the functional annotation pipeline of the Rbp1.0 genome assembly of LS007. The multi-tissue transcriptome was also used to support gene candidate identification by mRNA abundance. Also included is Hi-C sequencing data used to scaffold the assembly into pseudochromosomes
Project description:Macaque species share over 93% genome homology with humans and develop many disease phenotypes similar to those of humans, making them valuable animal models for the study of human diseases (e.g.,HIV and neurodegenerative diseases). However, the quality of genome assembly and annotation for several macaque species lags behind the human genome effort. To close this gap and enhance functional genomics approaches, we employed a combination of de novo linked-read assembly and scaffolding using proximity ligation assay (HiC) to assemble the pig-tailed macaque (Macaca nemestrina) genome. This combinatorial method yielded large scaffolds at chromosome-level with a scaffold N50 of 127.5 Mb; the 23 largest scaffolds covered 90% of the entire genome. This assembly revealed large-scale rearrangements between pig-tailed macaque chromosomes 7, 12, and 13 and human chromosomes 2, 14, and 15. We subsequently annotated the genome using transcriptome and proteomics data from personalized induced pluripotent stem cells (iPSCs) derived from the same animal. Reconstruction of the evolutionary tree using whole genome annotation and orthologous comparisons among three macaque species, human and mouse genomes revealed extensive homology between human and pig-tailed macaques with regards to both pluripotent stem cell genes and innate immune gene pathways. Our results confirm that rhesus and cynomolgus macaques exhibit a closer evolutionary distance to each other than either species exhibits to humans or pig-tailed macaques. These findings demonstrate that pig-tailed macaques can serve as an excellent animal model for the study of many human diseases particularly with regards to pluripotency and innate immune pathways.
Project description:Transcriptionnal profile changes in ovary during the reproductive cycle of Solea senegalensis: from previtellogenic stage to vitellogenic stage obtained at different times during the annual reproductive cycle. An oligo microarray based on ESTs sequenced from S. senegalensis previously designed (Cerdà et al., 2008, BMC genomics) was used.
Project description:Transcriptionnal profile changes in ovary during the reproductive cycle of Solea senegalensis: from mature stage to atresia stage obtained at different times during the annual reproductive cycle. An oligo microarray based on ESTs sequenced from S. senegalensis previously designed (Cerdà et al., 2008, BMC genomics) was used.
Project description:Transcriptional profile changes in ovary during the reproductive cycle of Solea senegalensis: from vitellogenic stage to atresia stage obtained at different times during the annual reproductive cycle. An oligo microarray based on ESTs sequenced from S. senegalensis previously designed (Cerdà et al., 2008, BMC genomics) was used.