Project description:The study aimed to investigate the effect of pH on Bacillus subtilis secretome into cell-free supernatant which is used as plant growth biostimulant
Project description:Frequently observed in tropical and sub-tropical regions, crops contamination by aflatoxin B1 (AFB1) produced by Aspergillus flavus, is emerging in Europe, due to climate change. Many alternative methods are currently developed to reduce the use of chemical inputs to prevent mycotoxin contamination, such as biocontrol agents (BCAs). Actinobacteria are known to produce many bioactive compounds and some of them are able to reduce in vitro AFB1 concentration. In this context, the present study aims to analyze the effect of a cell free supernatant (CFS) from Streptomyces roseolus liquid culture on A. flavus development, as well as on its transcriptome profile using microarray assay and its impact on AFB1 concentration. To study the impact of Streptomyces roseolus cell free supernatant on global transcriptome of Aspergillus flavus we have employed whole genome microarray expression profiling.
Project description:Analysis of gene expression in RAW264.7 cells stimulated for osteoclastogenesis and then treated with cell culture supernatant from Lactobacillus reuteri. Results will offer insight into targeted mechanisms suppressing osteoclastogenesis
Project description:To build a reference proteome, we established a BV-2 microglial proteome to a depth of 5494 unique protein groups using a novel strategy that combined FASP, StageTip-based high pH fractionation, and high-resolution mass spectrometry quickly and cost-efficiently. By bioinformatics analysis, the BV-2 proteome is a valuable resource for studies of microglial function, such as in the immune response, inflammatory response, and phagocytosis. Raw files were processed in MaxQuant version 1.2.2.5 and the Andromeda search engine against the IPI mouse database (version 3.87, 59,534 entries) containing both forward and reverse proteins sequences. Carbamidomethylation of cysteines was set as the fixed modification. Oxidation of methionine and acetylation of protein N-term was employed as a variable modification. The first search tolerance was set to 20 ppm, followed by a main search tolerance of 6 ppm. HCD fragment ion mass tolerance was set to 20 ppm. Peptides with a minimum of 6 amino acids were considered for identification. The false discovery rate (FDR) for all peptides, modification sites, and protein identifications were set to 0.01. Gene ontology of identified proteins at FDR < 1% was annotated using the DAVID bioinformatics resource tool and UniprotKB database. Pathway analysis was performed using the KEGG pathway database and Panther pathway database.