Project description:We studied the lipidome (236 individual lipid species including sphingolipids, ceramides, cholesterol, gangliosides, phosphatidylethanolamines) in basal and LPS-stimulated human monocyte derived macrophages (MDMs) over a time-course by LC-MS (30min, 3h, 8h, 16h; n=12 human donors). In order to explore how transcriptomic changes induced by LPS stimulation can correlate with changes in the lipidome, we performed RNAsequencing on MDMs from 4 donors over a time-course (30min, 3h, 8h, 16h)
Project description:We used a comprehensive approach that combined proteome, lipidome, and metabolome data to investigate the segmentation atlas of hepatocellular carcinoma (HCC).
Project description:Genomicus (http://www.dyogen.ens.fr/genomicus/) is a database and an online tool that allows easy comparative genomic visualization in >150 eukaryote genomes. It provides a way to explore spatial information related to gene organization within and between genomes and temporal relationships related to gene and genome evolution. For the specific vertebrate phylum, it also provides access to ancestral gene order reconstructions and conserved non-coding elements information. We extended the Genomicus database originally dedicated to vertebrate to four new clades, including plants, non-vertebrate metazoa, protists and fungi. This visualization tool allows evolutionary phylogenomics analysis and exploration. Here, we describe the graphical modules of Genomicus and show how it is capable of revealing differential gene loss and gain, segmental or genome duplications and study the evolution of a locus through homology relationships.
Project description:We provide an atlas of gene and protein expression in Arabidopsis root hair cells, generated by paired-end RNA-seq and LC/MS-MS analysis from protoplasts that carry the root hair-specific pEXP7-GFP reporter construct. In total, transcripts from 23,234 genes were detected in root hairs; those related to cell wall biosynthesis and translation differed most dramatically in abundance when compared to non-GFP root protoplasts.
Project description:Amylase is one of the earliest characterized enzymes and has many applications in clinical and industrial settings. In biotechnological industries, the amylase activity is enhanced through modifying amylase structure and through cloning and expressing targeted amylases in different species. It is important to understand how engineered amylases can survive from generation to generation. This study used phylogenetic and statistical approaches to explore general patterns of amylases evolution, including 3118 ?-amylases and 280 ?-amylases from archaea, eukaryota and bacteria with fully documented taxonomic lineage. First, the phylogenetic tree was created to analyze the evolution of amylases with focus on individual amylases used in biofuel industry. Second, the average pairwise p-distance was computed for each kingdom, phylum, class, order, family and genus, and its diversity implies multi-time and multi-clan evolution. Finally, the variance was further partitioned into inter-clan variance and intra-clan variance for each taxonomic group, and they represent horizontal and vertical gene transfer. Theoretically, the results show a full picture on the evolution of amylases in manners of vertical and horizontal gene transfer, and multi-time and multi-clan evolution as well. Practically, this study provides the information on the surviving chance of desired amylase in a given taxonomic group, which may potentially enhance the successful rate of cloning and expression of amylase gene in different species.