Project description:We sequenced the miRNAs in the liver tissues of goats to further enrich and elucidate the miRNA expression profile in their physiological cycle. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats. This study identified 1255 miRNAs.
Project description:Laiwu black goat kid liver mRNA expression profile were sequenced with novaSeq 6000. The liver tissues were procured at 5-time points from the Laiwu black goats of 1 day, 2 weeks, 4 weeks, 8 weeks, and 12 weeks of age, respectively with 5 goats per time point, for a total of 25 goats.
2022-01-28 | GSE194190 | GEO
Project description:67 SNPs of Dazu Black goat
| PRJEB33934 | ENA
Project description:Skin transcriptome of 33 Dazu black goats
| PRJNA1133193 | ENA
Project description:Dazu black and Hechuan white goat
Project description:We deep sequenced and analyzed circRNA using deep RNA sequencing (RNA-seq) in pre-ovulatory follicle samples of Macheng black goats and Boer goats. We analyzed the RNA-seq data with 301 million reads and 288 million reads, and reveal the expression profiles of circRNAs and predicted 13,950 circRNAs. 827 circRNA host genes, mostly related to transferase activity and metabolic process. Twenty-four circRNAs were upregulated and 13 were downregulated in the pre-ovulatory follicles of the Boer group compared to their expression in the Macheng group.
Project description:we compared the skin transcriptomes of the black- and white-coated region from the Boer and Macheng Black crossbred goat with black head and white body using the Illumina RNA-Seq method. Six cDNA libraries derived from skin samples of the white coat region (n = 3) and black coat region (n = 3) were constructed from three full-sib goats. On average, we obtained approximately 76.5 and 73.5 million reads for each skin sample of black coat and white coat, respectively, of which 75.39% and 76.05% reads were covered in the genome database. Our study provides insight into the transcriptional regulation of two distinct coat color that might serve as a key resource for understanding coat color pigmentation of goat.