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
Project description:Interventions: Genomic test CANCERPLEX-JP OncoGuide NCC oncopanel system FndationONe CDx genome profile GUARDANT360 MSI Analysis System BRACAnalysis
Primary outcome(s): Development of genome database
Study Design: Single arm Non-randomized
Project description:<p><strong>BACKGROUND:</strong> Amaranth (<em>Amaranthus spp.</em>) has high nutritional quality, with edible grain and leaves, and many agronomic advantages, making it a promising part of the solution for global food insecurity. However, we lack comprehensive metabolomic and genome sequence data for many cultivars. To support the improvement of this versatile, sustainable crop, a detailed metabolome profiling of the edible grains and leaves and genome sequencing resources is required for the widely cultivated grain amaranth cultivars such as Coral Fountain (CF), Emerald Tassels (ET), Golden Giant (GG), Hopi Red Dye (HR), and New Mexico (NM).</p><p><strong>RESULTS:</strong> Through a non-targeted high-throughput metabolic profiling using ultra-performance liquid chromatography-tandem mass spectrometry, we precisely determined the whole-grain and leaf metabolites of these five cultivars. This analysis identified 426 and 420 metabolites with known chemical structures in the grain and leaf, respectively. The five amaranth cultivars differed significantly in the levels of several nutritionally valuable compounds in grains and leaves, including sulfur amino acids, vitamins, and chlorogenic acids, as well as potentially anti-nutritive compounds, such as oxalate and raffinose family oligosaccharides. On average, the cultivars CF and ET had more favorable levels of most identified health-promoting compounds compared to GG, HR, and NM. In addition, we provide high-quality reference genome sequences for the five cultivars using the PacBio Sequel II sequencing platform with an estimated genome size of 465-483 Mb comprising 46.9-48.7% repetitive elements. We generated an iso-seq library from different amaranth plant parts and utilized it to predict the amaranth genes and annotate their function into their respective gene ontology terms.</p><p><strong>CONCLUSIONS:</strong> These resources will assist in breeding improved amaranth varieties and identifying targeted genes for trait modification and advancement through genome editing and engineering technologies.</p><p><br></p><p><strong>Leaf assays</strong> are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS3498' rel='noopener noreferrer' target='_blank'><strong>MTBLS3498</strong></a>.</p><p><strong>Seed assays</strong> are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS815' rel='noopener noreferrer' target='_blank'><strong>MTBLS815</strong></a>.</p>
Project description:<p><strong>BACKGROUND:</strong> Amaranth (<em>Amaranthus spp.</em>) has high nutritional quality, with edible grain and leaves, and many agronomic advantages, making it a promising part of the solution for global food insecurity. However, we lack comprehensive metabolomic and genome sequence data for many cultivars. To support the improvement of this versatile, sustainable crop, a detailed metabolome profiling of the edible grains and leaves and genome sequencing resources is required for the widely cultivated grain amaranth cultivars such as Coral Fountain (CF), Emerald Tassels (ET), Golden Giant (GG), Hopi Red Dye (HR), and New Mexico (NM).</p><p><strong>RESULTS:</strong> Through a non-targeted high-throughput metabolic profiling using ultra-performance liquid chromatography-tandem mass spectrometry, we precisely determined the whole-grain and leaf metabolites of these five cultivars. This analysis identified 426 and 420 metabolites with known chemical structures in the grain and leaf, respectively. The five amaranth cultivars differed significantly in the levels of several nutritionally valuable compounds in grains and leaves, including sulfur amino acids, vitamins, and chlorogenic acids, as well as potentially anti-nutritive compounds, such as oxalate and raffinose family oligosaccharides. On average, the cultivars CF and ET had more favorable levels of most identified health-promoting compounds compared to GG, HR, and NM. In addition, we provide high-quality reference genome sequences for the five cultivars using the PacBio Sequel II sequencing platform with an estimated genome size of 465-483 Mb comprising 46.9-48.7% repetitive elements. We generated an iso-seq library from different amaranth plant parts and utilized it to predict the amaranth genes and annotate their function into their respective gene ontology terms.</p><p><strong>CONCLUSIONS:</strong> These resources will assist in breeding improved amaranth varieties and identifying targeted genes for trait modification and advancement through genome editing and engineering technologies.</p><p><br></p><p><strong>Seed assays</strong> are reported in the current study <a href='https://www.ebi.ac.uk/metabolights/MTBLS815' rel='noopener noreferrer' target='_blank'><strong>MTBLS815</strong></a><strong>.</strong></p><p><strong>Leaf assays</strong> are reported in <a href='https://www.ebi.ac.uk/metabolights/MTBLS3498' rel='noopener noreferrer' target='_blank'><strong>MTBLS3498</strong></a><strong>.</strong></p>
Project description:NUCKS has a DNA binding domain at C-terminal region. We found that NUCKS has important roles in regulating glucose homeostasis. To get an unbiased handle on the plausible mechanism(s) of NUCKS action, we performed a genome-wide Chromatin Immunoprecipitation (ChIP)-sequencing for NUCKS in primary hepatocytes. We successfully mapped 25mln reads to the mm9 genome and detected NUCKS binding at 10203 sites, 60% of which were located in the proximity of a Transcription Start Sites (TSS). The peaks of NUCKS occupancy were often broad with some around 1Kb, suggesting that multiple NUCKS molecules could bind cooperatively to the same genomic loci. This study provides information of NUCKS binding sites in Mus musculus genome. Examination of NUCKS binding in mouse primary hepatocytes by Chromatin immunoprecipitation followed by deep sequencing.
Project description:The draft genome of L. sativa (lettuce) cv. Tizian was sequenced in two Illumina sequencing runs, mate pair and shotgun. This entry contains the RAW sequencing data.
Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).