Project description:The wide application of pig disease model has caused a surge of interest in the study of derivation of pig induced pluripotent cells (iPSCs). Here we performed genome-wide analysis of gene expression profiling by RNA-seq and small RNA-seq and DNA methylation profile by MeDIP-seq in pig iPSCs through comparison with somatic cells. We identified mRNA and microRNA transcripts that were specifically expressed in pig iPSCs. We then pursued comprehensive bioinformatics analyses, including functional annotation of the generated data within the context of biological pathways, to uncover novel biological functions associated with maintenance of pluripotency in pig. This result supports that pig iPS have transcript profiles linked to ribosome, chromatin remodeling, and genes involved in cell cycle that may be critical to maintain their pluripotency, plasticity, and stem cell function. Our analysis demonstrates the key role of RNA splicing in regulating the pluripotency phenotype of pig cells. Specifically, the data indicate distinctive expression patterns for SALL4 spliced variants in different pig cell types and highlight the necessity of defining the type of SALL4 when addressing the expression of this gene in pig cells. MeDIP-seq data revealed that the distribution patterns of methylation signals in pig iPS and somatic cells along the genome. We identify 25 novel porcine miRNA, including pluripotency-related miR-302/367cluster up-regulated in pig iPSCs. At last, we profile the dynamic gene expression signature of pluripotent genes in the preimplantation development embryo of pig. The resulting comprehensive data allowed us to compare various different subsets of pig pluripotent cell. This information provided by our analysis will ultimately advance the efforts at generating stable naive pluripotency in pig cells.
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:Pig breeds have different attitude to traits like growth rate, carcass composition and reproduction parameters as well as other traits. These traits considered as external traits or end phenotypes are the outcome of complex biological processes and interactions. The main goal of pig breeding programs and the basis for crossbreeding is finding a balance between these traits. In pig production, Large White and Duroc breeds are commonly used to optimise respectively fertility and growth ability and differ on several production traits, indeed the first breed as a high fertility characters whereas Duroc is used as terminal sire for her growth performance and good carcass quality traits. In this study, we have used a quantitative label-free LC-MS proteomics approach to characterise and compare the liver proteome of two heavy Italian pig breeds, Italian Duroc and Italian Large White to identify difference due to their different genetic background. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 703094.
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) 9 Chinese indigenous pig, one Chinese wild boar and 2 commercial pigs were detected using one pig of Duroc as reference. These 12 animals include 1 wild pig, 2 pigs each from Yorkshire and Landrace as the representatives of modern commercial breeds and 9 unrelated individuals selected from 6 Chinese indigenous breeds (2- Tibetan pig, 2- Diannan small-ear pig, 2-Meishan pig, 1- Min pig, 1-Daweizi pig, and 1-Rongchang pig).
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) 9 Chinese indigenous pig, 2 commercial pigs, 1 wild pig were detected using one pig of Duroc as reference.
Project description:Although the well-known importance of pig in agriculture, as well as a model for human biology, the miRNA catalog of pig has been largely undefined. Identification and preliminary characterization of adipose- and muscle-specific miRNAs would be a prerequisite for a thorough understanding of their roles in regulating adipose deposition and muscle growth. In the present study, we get insight into the miRNA transcriptome in eight adipose tissues, two skeletal muscles and cardiac muscle of pig using deep sequencing technology, and to elucidate their characteristic tissue-specific profiles and genomic context.