Project description:Microplastics represent a growing environmental concern for the oceans due to their potential capability to adsorb different classes of pollutants, thus representing a still unexplored source of exposure for aquatic organisms. In this study polystyrene (PS) microplastics were characterized for their capability to adsorb pyrene (PYR) as model compound for polycyclic aromatic hydrocarbons, and transfer this chemical to filter feeding mussels Mytilus galloprovincialis. Gene expression analyses of Mytilus galloprovincialis exposed to polystyrene (PS) microplastics and to polystyrene contaminated with pyrene (PS-PYR) have been performed trough a DNA microarray platform.
Project description:Microplastics (MPs) are considered as one of the main reasons for male and female infertility. However, the reproductive toxicity and its related mechanisms are understood by animal models with acute exposure to MPs at present. In the study, we show the low-dose polystyrene microplastics (PSMPs) exposure results in severely abnormal reproduction in female, but not male in mouse model, exhibiting failed oocyte meiotic maturation. Mechanistically, the PSMPs exposure induces the over-activation of cell metabolism pathways, insufficient HDACs and H4K16 hyperacetylation in oocytes in vivo and in vitro. By addition of HDAC3 inhibitor, the failed oocyte maturation, over-activation of cell metabolism pathways and H4K16 hyperacetylation are recapitulated, and the overexpression of HDAC3 can rescue the defects of meiotic maturation induced by PSMPs. Our observations suggest a direct link of the maturation defects induced by PSMPs to HDAC3 insufficiency. Thus, we propose the potential treatments for therapy of the failed meiotic maturation of oocyte from women highly exposed to MPs by activating or supplying HDAC3.
Project description:Phosphorus is one of the most important macronutrients that is required for plant growth and development. However, stress under low-P conditions has become a limiting factor that affects crop yields and qualities. Plants have developed strategies to cope with this, while few genes associated with low-P tolerance have been identified in soybean. We used microarrays to detail the global programme of gene expression under different phosphorus treatments of two soybean accessions CD and YH with different phosphorus efficiency.
Project description:Phosphorus is one of the most important macronutrients that is required for plant growth and development. However, stress under low-P conditions has become a limiting factor that affects crop yields and qualities. Plants have developed strategies to cope with this, while few genes associated with low-P tolerance have been identified in soybean. We used microarrays to detail the global programme of gene expression under different phosphorus treatments of two soybean accessions CD and YH with different phosphorus efficiency. The roots and leaves of a low-P-tolerant accession and a low-P-sensitive accession were harvested after 10 days of hydroponics under different P treatments, each with three biological replicates.Then microarray chips were performed on the 24 samples. We sought to identify genes associated with low-P stress. To that end, we analyzed the differently expressed genes between different P treatments, different accessions and different tissues.
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.