Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1071789 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We used RNA sequencing to measure genome-wide gene expression in the cyanobacterium Synechococcus elongatus PCC 7942 grown under dynamic light regimes that mimic the variation in light intensity seen on a Clear Day in nature, or the rapid changes in light intensity that accompany changes in shading We compare these gene expression dynamics to those of a culture grown under a Low Light condition that mimics the standard laboratory conditions used for study of cyanobacteria. Our analysis reveals that naturally relevant light conditions drastically modify gene expression dynamics in cyanobacteria Notably, the expression of circadian clock-controlled genes is responsive to changes in light intensity, showing modulated dynamics that can allow cyanobacteria to adapt their metabolism to changing environmental conditions
2017-12-16 | GSE104203 | GEO
Project description:Cyanobacteria Mixed Culture
| PRJNA944785 | ENA
Project description:Human microbiome contains billions of microorganisms that play important roles in the biological system and different diseases. Due to its complexity, conventional culture-independent technology may underestimate the value of low-abundance bacteria, which calls for a highly efficient method for its enrichment and comprehensive analysis. In this study, we developed a recycling free-flow isoelectric focusing (RFFIEF) method-based electrophoresis method to separate salivary microbiome.
2021-03-10 | PXD024619 |
Project description:<p>Cyanobacterial harmful algal blooms (cHABs) dominated by <em>Microcystis aeruginosa</em> threaten the ecological integrity and beneficial uses of lakes globally. In addition to producing hepatotoxic microcystins (MC), <em>M. aeruginosa</em> exudates (MaE) contain various compounds with demonstrated toxicity to aquatic biota. Previously, we found that the ecotoxicity of MaE differed between MC-producing and MC-free strains at exponential (E-phase) and stationary (S-phase) growth phases. However, the components in these exudates and their specific harmful effects were unclear. In this study, we performed untargeted metabolomics based on liquid chromatography-mass spectrometry to reveal the constituents in MaE of a MC-producing and a MC-free strain at both E-phase and S-phase. A total of 409 metabolites were identified and quantified based on their relative abundance. These compounds included lipids, organoheterocyclic compounds, organic acid, benzenoids and organic oxygen compounds. Multivariate analysis revealed that strains and growth phases significantly influenced the metabolite profile. The MC-producing strain had greater total metabolites abundance than the MC-free strain at S-phase, whereas the MC-free strain released higher concentrations of benzenoids, lipids, organic oxygen, organic nitrogen and organoheterocyclic compounds than the MC-producing strain at E-phase. Total metabolites had higher abundance in S-phase than in E- phase in both strains. Analysis of differential metabolites (DMs) and pathways suggest that lipids metabolism and biosynthesis of secondary metabolites were more tightly coupled to growth phases than to strains. Abundance of some toxic lipids and benzenoids DMs were significantly higher in the MC-free strain than the MC-producing one. This study builds on the understanding of MaE chemicals and their biotoxicity, and adds to evidence that non-MC-producing strains of cyanobacteria may also pose a threat to ecosystem health.</p>
2023-01-16 | MTBLS6603 | MetaboLights
Project description:Determine in the context of a controlled crossover diet-intervention trial the role of taurocholic acid metabolism by gut bacteria in African American subjects at elevated risk for colorectal cancer (CRC). Two isocaloric diets, an animal-based diet high in taurine and saturated fat (HT-HSAT) and a plant-based, low in taurine and low saturated fat (LT-LSAT) will be used to determine the extent to which the relationship between diet (independent variable) and mucosal markers of CRC risk including epithelial proliferation, oxidative stress, DNA damage, and primary and secondary bile acid pools and biomarkers of inflammation (dependent variables) is explained by the abundance of sulfidogenic bacteria and hydrogen sulfide (H2S) concentrations &/or deoxycholic acid (DCA) and DCA-producing bacteria clostridium scindens (mediator variables).
| 2274903 | ecrin-mdr-crc
Project description:Data Independent Acquisition (DIA) is increasingly preferred over Data Dependent Acquisition (DDA) due to its higher throughput and fewer missing values. Whereas DDA often utilizes stable isotope labeling to improve quantification, DIA mostly relies on label-free approaches. Efforts to integrate DIA with isotope labeling include chemical methods like mTRAQ and dimethyl labeling, which, while effective, complicate sample preparation. Stable isotope labeling by amino acids in cell culture (SILAC) achieves high labeling efficiency through the metabolic incorporation of heavy labels into proteins in vivo. However, the need for metabolic incorporation limits the direct use in clinical scenarios. Spike-in SILAC methods utilize an externally generated heavy sample as an internal reference, enabling SILAC-based quantification even for samples that cannot be directly labeled. Here, we combine DIA with spike-in SILAC (DIA-SiS), leveraging the robust quantification of SILAC without the complexities associated with chemical labeling. We developed and rigorously validated DIA-SiS through a mixed-species benchmark to assess its performance in proteome coverage and quantification. We demonstrate that DIA-SiS significantly improves proteome coverage and quantification compared to label-free approaches and reduces the incidence of incorrectly quantified proteins. Additionally, DIA-SiS proves effective in analyzing proteins in low-input formalin-fixed paraffin-embedded (FFPE) tissue sections. DIA-SiS combines the precision of stable isotope-based quantification with the simplicity of label-free sample preparation, facilitating simple, accurate and comprehensive proteome profiling.
2024-10-14 | PXD052080 | Pride
Project description:Harmful algal blooms present severe environmental threats, impacting water quality, aquatic ecosystems, and human health. The frequency and intensity of these blooms are rising, largely driven by global warming and changing climatic conditions. There is an urgent need for innovative methods to monitor blue-green algae, also known as cyanobacteria, to enable the implementation of preventative measures. Here, we show that native mass spectrometry is an effective tool for detecting cyanobacteria directly from lake samples, both prior and during bloom formation. Our approach allows for the rapid characterization of cyanobacterial populations within lakes, offering valuable insights into the dynamics of cyanobacterial species associated with harmful algae blooms. Overall, we highlight the exceptional capability of native mass spectrometry in directly detecting and monitoring cyanobacterial blooms, which will support the development of more effective strategies to mitigate this growing environmental challenge.
2025-07-28 | PXD065745 | Pride
Project description:Here we present advancements in single-cell combinatorial indexed ATAC-seq (sciATAC) to measure chromatin accessibility that leverage nanowell chips to achieve atlas-scale cell throughput (>105) at low cost. Our optimized techniques also achieve a high fraction of reads that fall within called peaks (>80%) and low cell doublet rates. We also demonstrate an alternative workflow that achieves high cell coverage while retaining exceptional enrichment for open chromatin regions, enabling the assessment of >70,000 unique accessible loci per cell.
2023-02-08 | GSE218881 | GEO
Project description:Sequencing based approaches have led to new insights about DNA methylation. While many different techniques for genome-scale mapping of DNA methylation have been employed, throughput has been a key limitation for most. To further facilitate the mapping of DNA methylation, we describe a protocol for gel-free multiplexed reduced representation bisulfite sequencing (mRRBS) that reduces the workload dramatically and enables processing of 96 or more samples per week. mRRBS achieves similar CpG coverage as the original RRBS protocol, while the higher throughput and lower cost make it better suited for large-scale DNA methylation mapping studies including cohorts of cancer samples. Libraries of 96 human samples
2012-08-29 | E-GEOD-40429 | biostudies-arrayexpress