Ontology highlight
ABSTRACT:
PROVIDER: PRJEB33462 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Acidophilic autotrophic biocathode Raw sequence reads
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Project description:<p>Microplastics, antibiotics, and heavy metals are co-occurring pollutants in wastewater, posing significant environmental risks and potential threats to human health. However, there is currently no effective wastewater treatment method for this type of combined pollution. This study establishes a novel dual-chamber fungal system by leveraging fungi’s remarkable capacity to degrade multiple pollutants in complex environments and their responsiveness to micro-voltage stimulation. Following treatment with this system, up to 84.28±2.85% of enrofloxacin (ENR) and 95.52±1.77% of Pb were removed. Meanwhile, under the trapping effect of fungal mycelium, more than 95% of polypropylene, polystyrene and polyvinyl chloride microplastics distributed in different water layer areas were removed. Multi-omics analysis revealed that micro-voltage enhanced fungal energy, amino acid, and cofactor metabolism, thereby altering fungal surface structural properties and increasing extracellular oxidase activity. These alterations improved the entrapment and aging of microplastics by fungal, while simultaneously promoting the decomposition of ENR and the mineralization/adsorption of Pb on the fungal surface. Furthermore, experiments conducted in genuine wastewater confirmed the stability and security of the micro-voltage driven fungal system under practical operating conditions, including organic load and ammonia nitrogen shocks. This study offers novel insights and promising avenues for addressing combined pollution.</p>
2026-01-05 | MTBLS13609 | MetaboLights
Project description:In-depth organic mass cytometry reveals differential contents of 3-hydroxybutanoic acid on single cell level. Single-cell transcriptome indicates the expression difference of BHB downstream anti-oxidative stress proteins such as MT2A while Fluorescence Activated Cell Sorting (FACS) assay validates positive relationship between BHB and target proteins, which suggests that contents heterogeneity of BHB may endow cancer cells with variant ability to resist surrounding oxidative stress. Our ID-organic cytoMS paves the way for deep single-cell metabolome profiling and the investigation of cancer physiological and pathological processes. Comprehensive single-cell metabolic profiling is critical for revealing phenotypic heterogeneity and elucidating molecular mechanisms of biological processes. However, single-cell metabolomics remains challenging because of the limited metabolites coverage and disability of isomer discrimination. Herein, we establish a novel single-cell metabolomics platform of in-depth organic mass cytometry (ID-organic cytoMS). Extended single-cell analysis time guarantees sufficient MS/MS acquisition for metabolites identification and the isomers discrimination with online high-throughput analysis, achieving the largest number of about 600 metabolites identified in single cells. Fine sub-typing of MCF-7 cells are first demonstrated by differential contents of 3-hydroxybutanoic acid (BHB) among clusters. Single-cell transcriptome indicates the expression difference of BHB downstream anti-oxidative stress proteins such as MT2A while Fluorescence Activated Cell Sorting (FACS) assay validates positive relationship between BHB and target proteins, which suggests that contents heterogeneity of BHB may endow cancer cells with variant ability to resist surrounding oxidative stress. Our ID-organic cytoMS paves the way for deep single-cell metabolome profiling and the investigation of cancer physiological and pathological processes.
2024-03-31 | GSE262591 | GEO