Project description:Morphological characters are the result of developmental gene expression. Hence the identity of a character is ultimately grounded in the gene regulatory network directing development and thus whole genome gene expression data can provide evidence about character identity. Here we use transcriptomic data to address one of the most enduring paradoxes in evolutionary biology, the identity of the avian wing digits. Deep Sequencing of mRNA from embryonic chicken digits is performed and the gene expression profiles are analyzed. Analysis of mRNA-seq data from 16 samples of chicken digits covering two embryonic stages.
Project description:Morphological characters are the result of developmental gene expression. Hence the identity of a character is ultimately grounded in the gene regulatory network directing development and thus whole genome gene expression data can provide evidence about character identity. Here we use transcriptomic data to address one of the most enduring paradoxes in evolutionary biology, the identity of the avian wing digits. Deep Sequencing of mRNA from embryonic chicken digits is performed and the gene expression profiles are analyzed.
Project description:Single-nucleus RNA sequencing (snRNA-seq) was used to profile the transcriptome of 8,413 nuclei in chicken adult testis. This dataset includes two samples from two different individuals. This dataset is part of a larger evolutionary study of adult testis at the single-nucleus level (97,521 single-nuclei in total) across mammals including 10 representatives of the three main mammalian lineages: human, chimpanzee, bonobo, gorilla, gibbon, rhesus macaque, marmoset, mouse (placental mammals); grey short-tailed opossum (marsupials); and platypus (egg-laying monotremes). Corresponding data were generated for a bird (red junglefowl, the progenitor of domestic chicken), to be used as an evolutionary outgroup.
Project description:We report the transcriptomes of 10 different chicken (Gallus gallus) cell/tissue types. The goal of this project was to determine similarities and differences between different cell/tissue types, with respect to protein coding genes, lncRNA, isoform counts, and differential gene expression. We provide raw data and bigWig files for UCSC visualization. The findings described here will be useful towards a complete annotation of chicken tissue and cellular transcriptomes.