Project description:The goal of this study was to evaluate the biological effect of microplastic fibres on nasal epithelium from healthy subjects, as well as asthma and COPD pateients. We demonstrated the distinct biological response of asthmatic and COPD epithelial cells to microplastic fibers stimulation compared to healthy epithelial cells. ANKRD36, BCL2L15, C15orf48, CAPN14, FCGBP, FST, IL-19, MAFF, PGBD5, PKP1 and PTPRH are important markers of epithelial response after microplastic stimulation in obstructive lung disaeses. These mediators are linked to Th2 inflammation, alleviation of stress response, and, most notably, carcinogenesis. We demonstrated the distinct biological response of asthmatic and COPD epithelial cells to microplastic fibers stimulation compared to healthy epithelial cells. ANKRD36, BCL2L15, C15orf48, CAPN14, FCGBP, FST, IL-19, MAFF, PGBD5, PKP1 and PTPRH are important markers of epithelial response after microplastic stimulation in obstructive lung disaeses. These mediators are linked to Th2 inflammation, alleviation of stress response, and, most notably, carcinogenesis. Microplastic stimulation differently modified the response of airway epithelial cells in obstructive lung diseases than in controls. Asthmatic and COPD epithelial cells are more prone to damage after microplastic fibre exposure.
2025-02-12 | GSE273262 | GEO
Project description:A study of soil microbiome under microplastic addition
Project description:Nipponbare performs poorly in phosphorus (P) deficient soil whereas a Nipponbare-derived NIL containing the Pup1 allele of donor parent Kasalath is tolerant to P deficiency. In this experiment we compared gene expression patterns in roots of this NIL to Nipponbare, grown either in a P deficient or P fertilized soil. The aim is to separate constitutive differences in expression from those induced by P deficiency. Experiment Overall Design: Total RNA was extrancted from root that were grown under two conditions and prepared three biological replicant in each line (total 6 samples in each line). Experiment Overall Design: We used 6 slides for this experiment, in each slide, Nipponbare and 6-4 samples grown under same condition were hybridized.
Project description:To study whether and how soil nitrogen conditions affect the ecological effects of long-term elevated CO2 on microbial community and soil ecoprocess, here we investigated soil microbial community in a grassland ecosystem subjected to ambient CO2 (aCO2, 368 ppm), elevated CO2 (eCO2, 560 ppm), ambient nitrogen deposition (aN) or elevated nitrogen deposition (eN) treatments for a decade. Under the aN condition, a majority of microbial function genes, as measured by GeoChip 4.0, were increased in relative abundance or remained unchanged by eCO2. Under the eN condition, most of functional genes associated with carbon, nitrogen and sulfur cycling, energy processes, organic remediation and stress responses were decreased or remained unchanged by eCO2, while genes associated with antibiotics and metal resistance were increased. The eCO2 effects on fungi and archaea were largely similar under both nitrogen conditions, but differed substantially for bacteria. Coupling of microbial carbon or nitrogen cycling genes, represented by positive percentage and density of gene interaction in association networks, was higher under the aN condition. In accordance, changes of soil CO2 flux, net N mineralization, ammonification and nitrification was higher under the aN condition. Collectively, these results demonstrated that eCO2 effects are contingent on nitrogen conditions, underscoring the difficulty toward predictive modeling of soil ecosystem and ecoprocesses under future climate scenarios and necessitating more detailed studies.
2015-04-03 | GSE67531 | GEO
Project description:Epigenomic changes under cellular stress
Project description:Transcriptome analysis in cotton under drought stress. To study the molecular response of drought stress in cotton under field condition global gene expression analysis was carried out in leaf tissue. Gossypium hirsutum cv. Bikaneri Nerma was used for the gene expression analysis. Cotton plants were subjected to drought stress at peak flowering stage. Leaf samples were collected when the soil moisture content was 19.5% which is 50% of the normal control plots. Gene expression profiles in drought induced and their respective control samples were analyzed using Affymertix cotton Genechip Genome arrays to study the global changes in the expression of genome.
Project description:Nipponbare performs poorly in phosphorus (P) deficient soil whereas a Nipponbare-derived NIL containing the Pup1 allele of donor parent Kasalath is tolerant to P deficiency. In this experiment we compared gene expression patterns in roots of this NIL to Nipponbare, grown either in a P deficient or P fertilized soil. The aim is to separate constitutive differences in expression from those induced by P deficiency. Keywords: genotype comparison, constitutive differential expression
Project description:Incomplete antibiotic removal in pharmaceutical wastewater treatment plants (PWWTPs) could lead to the development and spread of antibiotic-resistant bacteria (ARBs) and genes (ARGs) in the environment, posing a growing public health threat. In this study, two multiantibiotic-resistant bacteria, Ochrobactrum intermedium (N1) and Stenotrophomonas acidaminiphila (N2), were isolated from the sludge of a PWWTP in Guangzhou, China. The N1 strain was highly resistant to ampicillin, cefazolin, chloramphenicol, tetracycline, and norfloxacin, while the N2 strain exhibited high resistance to ampicillin, chloramphenicol, and cefazolin. Whole-genome sequencing revealed that N1 and N2 had genome sizes of 0.52 Mb and 0.37 Mb, respectively, and harbored 33 and 24 ARGs, respectively. The main resistance mechanism in the identified ARGs included efflux pumps, enzymatic degradation, and target bypass, with the N1 strain possessing more multidrug-resistant efflux pumps than the N2 strain (22 vs 12). This also accounts for the broader resistance spectrum of N1 than of N2 in antimicrobial susceptibility tests. Additionally, both genomes contain numerous mobile genetic elements (89 and 21 genes, respectively) and virulence factors (276 and 250 factors, respectively), suggesting their potential for horizontal transfer and pathogenicity. Overall, this research provides insights into the potential risks posed by ARBs in pharmaceutical wastewater and emphasizes the need for further studies on their impact and mitigation strategies.
Project description:Soil salinity is a major production constrain for agricultural crops, especially in Oryza sativa (rice). Analyzing physiological effect and molecular mechanism under salt stress is key for developing stress-tolerant plants. Roots system has a major role in coping with the osmotic change impacted by salinity and few salt-stress-related transcriptome studies in rice have been previously reported. However, transcriptome data sets using rice roots grown in soil condition are more relevant for further applications, but have not yet been available. The present work analyzed rice root and shoot physiological characteristics in response to salt stress using 250 mM NaCl for different timepoints. Subsequently, we identified that 5 day treatment is critical timepoint for stress response in the specific experimental design. We then generated RNA-Seq-based transcriptome data set with rice roots treated with 250 mM NaCl for 5 days along with untreated controls in soil condition using rice japonica cultivar Chilbo. We identified 447 upregulated genes under salt stress with more than fourfold changes (p value < 0.05, FDR < 0.05) and used qRT-PCR for six genes to confirm their salt-dependent induction patterns. GO-enrichment analysis indicated that carbohydrate and amino-acid metabolic process are significantly affected by the salt stress. MapMan overview analysis indicated that secondary metabolite-related genes are induced under salt stress. Metabolites profiling analysis confirmed that phenolics and flavonoids accumulate in root under salt stress. We further constructed a functional network consisting of regulatory genes based on predicted protein–protein interactions, suggesting useful regulatory molecular network for future applications.