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:Soybean is one of the main sources of oil worldwide. Salinity severely affect its yield. GmSIN1 is a NAC transcription factor coding gene. Its overexpression (OE) transgenic lines greatly improved the yield in both common and saline fields. This study focuses on founding changes genes between GmSIN1 OE transgenic seedlings and control seedlings under salt stress or non-salt stress conditions. Illumina Solexa sequencing platform was used for the comparative analysis of transcriptome profiles in the roots and leaves of GmSIN1 OE transgenic seedlings and WEI6823 (control) seedlings under mock or 150 mM NaCl treatment for 6 hrs.
Project description:MicroRNA-sequencing of the bone marrow samples from Brazilian pediatric patients with B-cell acute lymphoblastic leukemia (B-ALL) and T-cell acute lymphoblastic leukemia (T-ALL).
Project description:The development of precision medicine strategies requires prior knowledge of the genetic background of the target population. However, despite the availability of data from admixed Americans within large reference population databases, we cannot use these data as a surrogate for that of the Brazilian population. This lack of transferability is mainly due to differences between ancestry proportions of Brazilian and other admixed American populations. To address the issue, a coalition of research centres created the Brazilian Initiative on Precision Medicine (BIPMed), an initiative of five Research Innovation and Dissemination Centers (RIDCs) supported by FAPESP.
Project description:We showed that Brazilian green propolis attenuated Aβ-induced memory and learning impairment. Comprehensive gene expression analysis demonstrated that Brazilian green propolis treatment suppressed inflammation and immune responses via immune cells such as microglia and astrocytes in the brain. These results indicate the potential of Brazilian green propolis as a promising ingredient for preventing AD-type dementia.
Project description:Purpose:To help identify molecular regulatory mechanisms of developmental toxicity for fish exposed to Deepwater Horizon (DWH) oil, microRNA profiles in red drum larvae exposed to different DWH oils (source/mass and artificially weathered oil) were evaluated using High Throughput Sequencing (HTS). Methods:Total microRNA profiles of 48 hpf red drum larvae after source oil (0.135%, 0.27%, and 0.54%) and slick oil (1.25%, 2.5% and 5%) exposure were generated by deep sequencing, in triplicate, using Illumina NextSeq 500. Results: Source and slick oil significantly dysregulated the expression of miR-18a, miR-27b, and miR-203a across all exposure concentrations. The target genes of these miRNAs were predominantly involved in the neuro-cardio system development processes and associated key signaling pathways such as axonal guidance signaling, CREB signaling in neurons, synaptic long-term potentiation pathway, calcium signaling and role of NFAT in cardiac hypertrophy.
Project description:Oil palm (Elaeis guineensis Jacq.) is one of the most important oil-producing crops in the world. However, the demand for oil from this crop will increase in the future. A comparative gene expression profile of the oil palm leaves was needed in order to understand the key factors that influence the oil production. Here, we reported an RNA-seq dataset from three different oil yields and three different genetic populations of oil palm. All raw sequencing reads were obtained from an Illumina NextSeq 500 platform. We also provide a list of the genes and their expression levels resulting from the RNA-sequencing. This transcriptomic dataset will provide a valuable resource for increasing oil yield.