Project description:The cattle industry is the largest of the agricultural commodities in the United States and generated over $101 billion in farm cash receipts during 2016; 28% of all US farm cash receipts. Although the sequence of the bovine reference genome has been publicly available since 2009, annotation of functional genome elements is largely incomplete, resulting in limitations for exploiting the genome to phenome relationship. This project generate high-quality detailed transcript and miRNA status datasets from a comprehensive set of bovine tissues, developmental stages, and cells through a set of rationally selected assays.
Project description:The development of massively parallel sequencing technologies enables the sequencing of total cDNA to identify unigene expression and to discover novel regions of transcription. Here, we report the first use of RNA-Seq to find the digital gene expression profiles (DGEs) associated with the growth and development of muscle in both Chinese Luxi and Angus beef cattle. More than 9,243,921 clean reads were found in samples of muscle tissue. We found 232 DGEs between Luxi cattle and Angus cattle (FDR≤0.001 AND |log2Ratio|≥1). Among the DGEs, we determined that 147 genes were down-regulated and 85 genes were up-regulated. GO and Pathway analysis were performed to analyze the biological role of the DGEs and determine their contribution to the differences seen in muscle growth and development between local Chinese Luxi cattle and the introduced Angus cattle. This article suggests that RNA-Seq is a useful tool for predicting differences in gene expression between Luxi and Angus beef cattle; moreover, our result provides unprecedented resolution of mRNAs that are expressed across the two breeds.
Project description:The development of massively parallel sequencing technologies enables the sequencing of total cDNA to identify unigene expression and to discover novel regions of transcription. Here, we report the first use of RNA-Seq to find the digital gene expression profiles (DGEs) associated with the growth and development of muscle in both Chinese Luxi and Angus beef cattle. More than 9,243,921 clean reads were found in samples of muscle tissue. We found 232 DGEs between Luxi cattle and Angus cattle (FDRM-bM-^IM-$0.001 AND |log2Ratio|M-bM-^IM-%1). Among the DGEs, we determined that 147 genes were down-regulated and 85 genes were up-regulated. GO and Pathway analysis were performed to analyze the biological role of the DGEs and determine their contribution to the differences seen in muscle growth and development between local Chinese Luxi cattle and the introduced Angus cattle. This article suggests that RNA-Seq is a useful tool for predicting differences in gene expression between Luxi and Angus beef cattle; moreover, our result provides unprecedented resolution of mRNAs that are expressed across the two breeds. Three Luxi and three Angus cattle that were eighteen months of age were generated by RNA-Seq
Project description:Long non-coding RNAs (lncRNAs) have been identified in various tissues and cell types from human, monkey, porcine and mouse. However, expression profile of lncRNAs across Guangxi native cattle and swamp buffalo muscle development has never been investigated. Here, we examine the expression of lncRNA in cattle and buffalo muscle at adult stage(12 months), exhibiting the first report of lncRNA in the Guangxi native cattle and swamp buffalo muscle development of a large animal. 16,236 lncRNA candidates were obtained from buffalo skeletal muscle samples, of which a number of lncRNAs were highly abundant, and 2,161 lncRNAs were differentially expressed between buffalo and cattle. Real-time quantitative PCR (qPCR) analysis confirmed the expression profile of these lncRNAs, including several highly abundant lncRNAs, and a subset of differently expressed lncRNAs according to the high-throughput RNA sequencing (RNA-seq) data. These results indicate that abundant lncRNA is differentially expressed in bovine muscle, indicating important and diverse functions in mammalian muscle development.
Project description:Sexual dimorphism is one of the important topic in mammal species because appearance of males and females is obvious different in all mammal species. In addition to this, molecular mechanisms also very different each other. Furthermore, it is important to employ a variety of tissues in RNA-seq experiment because recent studies imply gene expression pattern are highly tissue specific. Although previous related studies discovered numerous sexually dimorphic mechanism in mammal species, but still, many mechanisms are undiscovered in case of non-model organisms. One of the representative mammal organism is a cattle which is less researched about sexual dimorphism. For investigate bovine sexual dimorphism, we generated two-way factorial designed 40 samples RNA-seq data composed with two factors such as gender and tissues. Two statistical approaches are employed for identifying bovine sexually dimorphic genes using such two-way factorial designed RNA-seq data. As a result, we observed that detected sexually dimorphic genes exhibited strong tissue specific pattern, but fat tissue showed relatively small tissue specificity than the others. In addition, we observed that sex-related genes are shared in two mammal species such as cattle and rat through qRT-PCR experiments. Finally, we investigated pros and cons of two statistical approaches for complex structured RNA-seq analysis.
Project description:This project aimed to discover the protein-based biomarkers for tick resistance in cattle using cattle serum samples. The cattle were phenotyped into two groups, tick-resistant and susceptible after an artificial tick challenge. Mean tick scores were used to categorise cattle. The SWATH analysis was sued to measure the relative abundance of proteins in skin samples of the two groups at different time points.
Project description:This project aimed to discover the protein-based biomarkers for tick resistance in cattle using cattle skin samples. The cattle were phenotyped into two groups, tick-resistant and susceptible after artificial tick challenge. Mean tick scores were used to categorise cattle. The SWATH analysis was sued to measure the relative abundance of proteins in skin samples of the two groups at different time points.
Project description:We aimed to create an ovary cell atlas using publicly available RNA-seq data. To complement the data we sequenced 2 ovary tissue samples from patients undergoing elective surgery at the JR hospital in Oxford. We applied single-nucei sequencing using the 10x Chromium technology.