Project description:mzML files from the analysis of SPE-concentrated surface water samples collected in different rivers in Luxembourg between 2019 and 2022 through the collaborative work between the Environmental Cheminformatics Group (LCSB, University of Luxembourg) and the Luxembourg Administration de la gestion de l eau (AGE). The according sampling locations related to each file can be found in the supplementary xlsx file.
2023-06-21 | MSV000092221 | MassIVE
Project description:Viral diversity in Luxembourg soils
Project description:Data files generated from the analysis of SPE-concentrated surface water samples collected in different rivers in Luxembourg between 2019 and 2020 through the collaborative work between the Environmental Cheminformatics Group, Luxembourg Centre for Systems Biomedicine and the Luxembourg Water Management Agency.
Project description:mzML files from the analysis of SPE-concentrated surface water samples collected in different rivers in Luxembourg between 2019 and 2022 through the collaborative work between the Environmental Cheminformatics Group (LCSB, University of Luxembourg) and the Luxembourg Administration de la gestion de l eau (AGE). The according sampling locations related to each file can be found in the supplementary xlsx file.
Project description:IGR39 cells, seeded at a density of 6x104 cells/well in 12-well culture plates, were transfected with 5 nM of miR-211 mimic or negative control (NCM) as described in the main text. Samples for total RNA extraction were collected 48h after transfection. RNA quality was assessed using RNA 6000 NanoChips with the Agilent 2100 Bioanalyzer (Agilent, Paolo Alto, USA). Gene expression profiling experiments using GeneChipM-. Human Gene 2.0 ST arrays and miRNA profiling using GeneChipM-. miRNA arrays (Affymetrix, Santa Clara, CA, USA) were performed on two independent samples at the CRP-SantM-i Microarray Unit (Luxembourg) as described before (Reinsbach et al., 2012) and according to standard protocols. Standard pipeline from the PartekM-. Genomics SuiteTM (Partek GS) software was used for analysis of data files. Lists of genes were generated by pair-wise comparison of expression data sets (negative control vs. mimic treated samples at 48h).
Project description:Microbiome sequencing model is a Named Entity Recognition (NER) model that identifies and annotates microbiome nucleic acid sequencing method or platform in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with sequencing metadata from literature. For more information, please refer to the following blogs: http://blog.europepmc.org/2020/11/europe-pmc-publications-metagenomics-annotations.html https://www.ebi.ac.uk/about/news/service-news/enriched-metadata-fields-mgnify-based-text-mining-associated-publications