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:(1) Introduction: The ovaries are the reproductive organs of female animals and play a key role in fertility and maintaining endocrine balance. Gonadal development is a complex process that involves sex determination and subsequent maturation into the ovaries or testes. At present, the understanding of the mechanisms of donkey gonad development is still limited. (2) Objectives: This study explores the comprehensive single-cell transcriptomics of donkey gonads, providing insights into the cellular and molecular events behind sex norms and gonad differentiation. (3) Methods: We used single-cell sequencing technology to construct a high-resolution map of fetal donkey gonad development, analyze the diversity and complexity of the cell composition of donkey gonads at different developmental stages, and reveal the characteristics of key cell types and gene expression patterns. (4) Results: The different cell states and active molecular pathways during the development of donkey gonadal tissue were revealed, and the gonadal ridge developed into ovary at 4-8 weeks. (5) Conclusions: This study provides a foundational resource for understanding the complex biology of donkey gonadal development and may have implications for donkey reproductive health and fertility.
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: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: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.
