Project description:Fe'i banana (Musa troglodytarum) fruit is carotenoid-rich and has been proposed to be utilized as a functional food. We report the first transcriptome of zebrafish (Danio rerio) intestine that were subjected to 8 weeks of Fe'i banana and Cavendish (Musa acuminata) diet. We found that Fe'i consumption in zebrafish modulated genes related to innate immunity.
Project description:Passiflora mollissima commonly known as “banana passion fruit” is usually consumed as fresh food or processed products, being seeds and peel the main by-products of the industrial processing. The potentially bioactive metabolites from banana passion fruit PLE-extract seeds have been recently characterized by HPLC-HRMS after sequential pressurized liquid extraction (PLE) To apply a Foodomics approach to study the effects of a banana passion fruit seeds PLE-extract (with high antioxidant capacity and enriched in phenolic-type compounds) on the transcriptome and metabolome of HT-29 colon cancer cells.
2022-05-24 | GSE133686 | GEO
Project description:Metagenomics library datasets of alcohol sprayed banana during fruit ripening
Project description:Microbiome LS (Library Source/Strategy) model is a Named Entity Recognition (NER) model that identifies and annotates microbiome DNA library source or strategy in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with LS 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:Microbiome LCM (Library Consturction Method) model is a Named Entity Recognition (NER) model that identifies and annotates microbiome DNA library construction method or layout in texts. This is the final model version used to annotate metagenomics publications in Europe PMC and enrich metagenomics studies in MGnify with LCM 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:MicroRNAs (miRNAs) are a class of endogenous non-coding small RNAs that regulate targeted mRNAs by degrading or repressing translation, considered as post-transcrption regulators. So far, a large number of miRNAs have been discovered in model plants, but little information is available on miRNAs in banana. In this study, by sequencing the small RNA (sRNA) transcriptomes of Fusarium wilt resistant and susceptible banana varieties, 139 members in 38 miRNA families were discovered, and six out of eight new miRNAs were confirmed by RT-PCR. According to the analysis of sRNA transcriptome data and qRT-PCR verification, some miRNAs were differentially expressed between Fusarium wilt resistant and susceptible banana varieties. Two hundred and ninety-nine and 31 target genes were predicted based on the draft maps of banana B genome and Fusarium oxysporum (FOC1, FOC4) genomes respectively. Specifically, two important pathogenic genes in Fusarium oxysporum genomes, feruloyl esterase gene and proline iminopeptidase gene, were targeted by banana miRNAs. These novel findings may provide a new strategy for the prevention and control of Fusarium wilt in banana.
2016-10-14 | GSE74005 | GEO
Project description:Metatranscriptomic Datasets of Chitosan-Coated and Uncoated Cavendish Banana Undergoing Ripening
Project description:The Khakh laboratory used astrocyte selective AAVs expressing Rpl22-HA along with bARK for attenuating Gq pathway signaling in the dorsal striatum. In the control group, bARK(D110A), which is a mutated control of bARK was expressed instead of bARK. The mouse striatum expressing either bARK or bARK(D110A) was subjected to RNA-seq in order to compare striatal astrocyte transcriptomes with and without Gq-GPCR signaling attenuation.