OvHV2- Italy
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB33876 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available.
2013-09-20 | GSE51032 | GEO
Project description:This Series contains data from 845 participants (188 men and 657 women) in the EPIC-Italy cohort that was produced at the Human Genetics Foundation (HuGeF) in Turin, Italy. At the last follow-up (2010), 424 participants remained cancer-free, 235 had developed primary breast cancer, 166 had developed primary colorectal cancer, and 20 had developed other primary cancers. Anthropometric measurements, and dietary and lifestyle information obtained by questionnaire are also available. A total of 845 samples from the EPIC-Italy cohort were analyzed.
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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.
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Project description:Recent improvements in the analysis ancient biomolecules from human remains and associated dental calculus have provided new insights into the prehistoric diet and past genetic diversity of our species. Here we present a “multi-omics” study, integrating genomic and proteomic analyses of two post-Last Glacial Maximum (LGM) individuals from San Teodoro cave (Italy), to reconstruct their lifestyle and the post-LGM resettlement of Europe. Our analyses show genetic homogeneity in Sicily during the Palaeolithic, representing a hitherto unknown Italian genetic lineage within the previously identified “Villabruna cluster”. We argue that this lineage took refuge in Italy during the LGM, followed by a subsequent spread to central-western Europe. Analyses of dental calculus using genomics and proteomics showed a similar oral microbiome composition as Neandertals, but distinct from later foragers and farmers, revealing also a diet based on mammals, fish and plants. Our results demonstrate the power of using a multi-omics approach in the study of prehistoric human populations.
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Project description:The two Arabidopsis ecotypes that are adapted to Italy and Sweden, respectively, showed different degree of freezing tolerance. By comparing the low temperature transcriptomes of the IT and SW ecotypes with the CBF pathway being knocked out, we showed the CBF pathway plays a significant role in natural variation of freezing tolerance.
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