Project description:Characterization of a metagenomic regulatory sequence library derived from M. xanthus, E. coli, and O. urethralis genomes in strains expressing different RpoD ortholog variants. Targeted DNA and RNA seq used to profile relative DNA and RNA abundances, respectively of each regulatory sequence construct in the library.
Project description:With the increasing demand for donkey production, there has been a growing focus on the breeding of donkeys. However, our current understanding of the mechanisms underlying spermatogenesis and maturation in donkeys during reproduction remains limited.In this study, we constructed a single-cell RNA dataset to study the single-cell landscape of donkey spermatogenesis and maturation. This method allows us to analyze the cell composition in testicular and epididymal tissue, providing insights into the changes that occur during donkey spermatogenesis and maturation. In addition, different gene expression signatures associated with various spermatogenic cell types were found
Project description:Next-Generation-Sequencing (NGS) technologies have led to important improvement in the detection of new or unrecognized infective agents, related to infectious diseases. In this context, NGS high-throughput technology can be used to achieve a comprehensive and unbiased sequencing of the nucleic acids present in a clinical sample (i.e. tissues). Metagenomic shotgun sequencing has emerged as powerful high-throughput approaches to analyze and survey microbial composition in the field of infectious diseases. By directly sequencing millions of nucleic acid molecules in a sample and matching the sequences to those available in databases, pathogens of an infectious disease can be inferred. Despite the large amount of metagenomic shotgun data produced, there is a lack of a comprehensive and easy-use pipeline for data analysis that avoid annoying and complicated bioinformatics steps. Here we present HOME-BIO, a modular and exhaustive pipeline for analysis of biological entity estimation, specific designed for shotgun sequenced clinical samples. HOME-BIO analysis provides comprehensive taxonomy classification by querying different source database and carry out main steps in metagenomic investigation. HOME-BIO is a powerful tool in the hand of biologist without computational experience, which are focused on metagenomic analysis. Its easy-to-use intrinsic characteristic allows users to simply import raw sequenced reads file and obtain taxonomy profile of their samples.
Project description:Donkey milk (DM) has been considered a valuable alternative to human and bovine coun-terparts as well as to infant formulas. Milk extracellular vesicles (EVs) have been proposed to influence key biological processes. The purpose of this study is to provide a compre-hensive characterization of the protein composition of extracellular vesicles (EVs) by ex-tending quantitative proteomic comparisons to EVs derived from donkey colostrum (DC) and mature donkey milk (MDM). The EVs were isolated from DC and MDM samples, characterized, and subjected to proteomic analysis using the tandem mass tag-based quantitative approach
Project description:We investigated the biological effects of ZEA exposure on donkey granulosa cells by using RNA-seq analysis. ZEA at 10 and 30 μM were administered to granulosa cells within 72 hours of in vitro culture. ZEA at 10 μM significantly altered the tumorigenesis associated genes in donkey granulosa cells. Exposure to 10 and 30 μM ZEA treatment significantly reduced mRNA expression of PTEN, TGFβ, ATM, and CDK2 genes, particularly, the ZEA treatment significantly increased the expression of PI3K and AKT genes. Furthermore, immunofluorescence, RT-qPCR, and Western blot analysis verified the gene expression of ZEA-exposed granulosa cells. Collectively, these results demonstrated the deleterious effect of ZEA exposure on the induction of ovarian cancer related genes via the PTEN/PI3K/AKT signaling pathway in donkey granulosa cells in vitro.
Project description:In this study, 3,869 donkey skeletal muscle lncRNAs were identified using RNA-Seq along with a stringent screening procedure in the longissimus dorsi (LD) and gluteal (G) muscles. These lncRNAs share many characteristics with other mammalian lncRNAs, such as shorter open reading frames (ORFs) and lower expression levels than mRNAs. Furthermore, in pairwise comparisons between libraries of the same stage for two genetic types of male Dezhou donkey, 73 differentially expressed lncRNAs were common to all muscle tissues.
