Project description:Genotypes of 1490 German Black Pied cows (DSN, "Deutsches Schwarzbuntes Niederungsrind") genotyped using Illumina? Bovine50SNP chip
Project description:Methods: RNA-sequencing was performed on matched samples obtained across several different gene expression measurement methods including: (a) fresh-frozen (FF) RNA samples by mRNA-seq, Ribo-zero and DSN and (b) FFPE samples by Ribo-zero and DSN. We also assayed the matched samples with Agilent microarray. RNA-seq data was compared on the rRNA-removal efficiency, genome profile, library complexity, coverage uniformity and quantitative cosinstency across protocols and with microarray data. Results: Compared to mRNA-seq, Ribo-zero provides equivalent percentage of rRNA component, genome-based mapped reads, and consistent quantification of transcripts. Moreover, Ribo-zero and DSN protocols achieve concordant transcript profiling in FFPE samples, and provide substantially more information on non-poly(A) RNA, which cannot be captured by mRNA-seq. Therefore, our study provides evidence that RNA-sequencing can generate accurate and reproducible transcript quantification using FFPE tissues. mRNA profile of 11 breast tumors were assayed by Agilent microarray, and by RNA-sequencing on libraries including: (a) fresh-frozen (FF) RNA samples by mRNA-seq, Ribo-zero and DSN and (b) FFPE samples by Ribo-zero and DSN, using Illunia HiSeq2000 2x50bp. RNA-Seq raw data is to be made available through dbGaP (controlled access) due to patient privacy concerns: http://www.ncbi.nlm.nih.gov/gap/?term=phs000676
Project description:We use DSN normalized RNA-seq to transcriptionally profile FACS sorted 16C ovarian follicle cells. These data provide insights into the developmental control of gene expression programmed gene amplificaton. Follicle cells were isolated from whole ovaries by trypsinization and filtering and stained with Hoescht. 16C follicle cells were isolated by FACS sorting based on DNA content (Hoescht). RNA was extracted with TRIzol reagent and 100ng of total RNA and used to generate a total library. This library was then subjected to DSN normalization prior to Illumina based sequencing.
Project description:High fertility and low fertility bulls were screened from the a 6000 bull database and then identify the sperm-derived DMR and DMC that assoiated with bull ferrtility via whole genome methtlation sequencing
Project description:high daughter fertility and low daughter fertility bulls were screened from the private bull database and then identify the sperm-derived DMR and DMC that associated with daughter fertility via whole genome methylation sequencing