Project description:We reported the retinal transcriptome and methylome profiles of spaceflight and habitat control mice. The retinal transcrtiome was generated including 764 million paired-end 75x2 bp RNA-seq data. The methylome was generated including 788 million 75-bp RRBS DNA methylation data. We identified 177 differentially expressed genes (DEGs) induced by spaceflight based on the RNA-seq dataset, and 643 differentially methylated genes (DMGs) based on RRBS dataset. Functional enrichement analysis based on DEGs and DMGs revealed that spaceflight altered extracellular matrix component (EMC), cell to cell junction, inflammation pathway, wound-healing process, etc. Integration analysis based on transcriptome and methylome suggested that modifications on DNA methylation were correlated with transcriptome changes for several significant biological processes and/or pathways.
Project description:We reported the kidney transcriptome and methylome profiles of rat Brown Norway (BN) and Sprague Dawley (CD) strains at late pregnancy (day 18/21) compared to non-pregnancy. The renal transcriptome was characterized from 326 million single-end 100bp RNA-seq data. The methylome dataset included 234 million 75-bp RRBS DNA methylation reads. We identified 297 differentially expressed genes (DEGs) induced by pregnancy in CD rats and 174 DEGs induced in BN rats, based on the RNA-seq dataset. 237 of the 297 DEGs in CD pregnant rats and 114 of the 174 DEGs in BN pregnant rats are strain specific, indicating differential adaptation to pregnancy. Methylome data reveals that strain differences is the major factor in determining methylation differences. We also found that pregant BN showed higher methylation than non-pregnant BN at transcription starter site (TSS) and promoter regions. Functional analysis based on DEGs and DMGs revealed that pregnant BN rats showed renal transcriptomic changes that induce vitamin D deficiency and renal pro-inflammatory gene expression that can partly explain pregnancy-specific proteinuria. Integrated analysis based on transcriptome and methylome suggested that modifications on DNA methylation were correlated with transcriptome changes for several significant biological processes and/or pathways.
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2)
Project description:Since CNVs play a vital role in genomic studies, it is an imperative need to develop a comprehensive, more accurate and higher resolution porcine CNV map with practical significance in follow-up CNV functional analyses To detect CNV of pigs, we performed high density aCGH data of diverse pig breeds in the framework of the pig draft genome sequence (Sscrofa10.2)
