Project description:Proteomic analysis was performed, by means of MudPIT platform, on Lymphoblastoid cell lines (LCLs) immortalized from B-Lymphocytes. LCLs were collected from each subject of an italian family, native of a restricted area of northern Italy and consisted of seven components: two patients with homozygous C-to-T mutation at position 97 in exon 2 of TREM2 gene (Ho); four healthy carriers with heterozygous mutation (He), and one healthy individual (Wt).
Project description:In order to identify gene expression difference between marine and freshwater stickleback populations, we compared the transcriptomes of seven adult tissues (eye, gill, heart, hypothalumus, liver, pectoral muscle, telencephalon) between a marine population sampled from the mouth of the Little Campbell river in British Columbia (LITC) and a freshwater population (Fishtrap Creek, FTC) from northern Washington. For each population, the sampled individuals were the lab-reared progeny of a single pair of wild-caught parents.
2011-12-30 | GSE34783 | GEO
Project description:Metabarcoding stream macroinvertebrates and eDNA samples from streams in southern Ontario
Project description:Chemical analysis of the compounds present in sediment, although informative, often is not indicative of the downstream biological effects that these contaminants exert on resident aquatic organisms. More direct molecular methods are needed to determine if marine life is affected by exposure to sediments. In this study, we used an aquatic multispecies microarray and q-PCR to investigate the effects on gene expression in juvenile sea bream (Sparus aurata) of two contaminated sediments defined as sediment 1 and 2 respectively, from marine areas in Northern Italy.
Project description:An European eel-specific microarray platform was developed to identify genes involved in response to pollutants A comparative analysis of gene expression was conducted between European eel Anguilla anguilla individuals from high (Tiber river, Italy) and low pollution (Bolsena lake, Italy) environments. Gene expression profiling was performed using an European eel-specific oligo-DNA microarray of 14,913 probes based on single-colour detection (Cyanine-3 only). Microarrays were scanned with Agilent scanner G2565BA (barcode on the left, DNA on the back surface, scanned through the glass) at a resolution of 5 microns; all slides were scanned twice at two different sensitivity settings (XDRHi 100% and XDRLo 10%); the scanner software created a unique ID for each pair of XDR scans and saved it to both scan image files. Feature Extraction (FE) 9.5 used XDR ID to link the pairs of scans together automatically when extracting data. The signal left after all the FE processing steps have been completed is ProcessedSignal that contains the Multiplicatively Detrended, Background-Subtracted Signal.
