Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1250274 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR33120655_1.fastq.gz | Fastqsanger.gz | |||
| SRR33120656_1.fastq.gz | Fastqsanger.gz | |||
| SRR33120657_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 3 of 3 |
Similar Datasets
Project description:microbial electrochemical system Metagenome
| PRJNA275936 | ENA
Project description:Neural proliferation and differentiation fates of pluripotent stem cells are influenced by external natural forces. Despite the presence of biogenic magnetite nanoparticles in the central nervous system and constant exposure to Earth’s magnetic fields and other sources, there has been scant knowledge regarding the role of electromagnetic stimuli in neurogenesis. Moreover, the emerging application of electrical and magnetic stimulation to treat neurological disorders emphasizes the relevance of understanding the impact and mechanisms behind these stimuli. Here, the effects of magnetic nanoparticles (MNPs) contained in polymeric coatings and the static external magnetic field (EMF, 0.4 Tesla) were investigated on neural induction of murine embryonic stem cells (mESCs) and human induced pluripotent stem cells (hiPSCs) into induced dopaminergic neurons (iDA).
2021-12-17 | GSE190686 | GEO
Project description:A Transcriptomics Approach to Study the Biocompatibility and Finding out the Potential Applications of Magnetite (Fe3O4) Nanoparticles Here in this study, we examine the molecular effects of uptake of Fe3O4 nanoparticles using a whole genome microarray study in human epithelial cancer cell line. 38 genes (55%) out of 69 downregulated genes were found to be associated with TGF-beta or BMP signaling including six genes, Id1, Id2, Id3, Caspase-9, Smad6 and SMAD7, important negative regulators of these signaling pathways involved in development and tumorigenesis.
2010-03-13 | GSE15248 | GEO
Project description:. In this study we show successful use of SWATH-MS for quantitative proteomic analysis of a microbial electrochemically active biofilm. Shewanella oneidensis MR-1 was grown on carbon cloth electrodes under continuous anodic electrochemical polarizations in a bioelectrochemical system. Using lactate as the electron donor, anodes serving as terminal microbial electron acceptors were operated at three different electrode potentials (+0.71V, +0.21V & -0.19V vs. SHE) and the development of catalytic activity was monitored by measuring the current traces over time. Once maximum current was reached (usually within 21-29 hours) the electrochemical systems were shut off and biofilm proteins were extracted from the electrodes for proteomic assessment.
2016-08-10 | PXD001472 | Pride
Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.
2012-12-01 | GSE38004 | GEO
Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically. Agilent one-color CGH experiment and one-color Gene Expresssion expereiment,Organism: Genotypic designed Agilent-17159 Genotypic designed Agilent Multibacterial 8x15k Array , Labeling kits: Agilent Genomic DNA labeling Kit (Part Number: 5190-0453) and Agilent Quick Amp Kit PLUS (Part number: 5190-0442).
2012-12-01 | E-GEOD-38004 | biostudies-arrayexpress