Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1282904 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR34261900.fastq.gz | Fastqsanger.gz | |||
| SRR34261901.fastq.gz | Fastqsanger.gz | |||
| SRR34261902.fastq.gz | Fastqsanger.gz | |||
| SRR34261903.fastq.gz | Fastqsanger.gz | |||
| SRR34261904.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 72 |
Similar Datasets
Project description:Heavy metals residue in the natural ecosystem had become one global environmental problem that was eager to solve. Due to the non-biodegradability, organism could deposit excessive heavy metals elements into tissues. Existing literature proposed that prolonged heavy metals enrichment had comprehensive toxicity to multi-organs of vertebrates. However, little research focus on the molecular mechanism for the hepatotoxicity of heavy metal enrichment to Chiroptera. In the present study, ten Hipposideros armiger individuals from Yingde City (YD, relatively pollution-free) and Chunwan City (CW, excessive heavy metals emission) were dissected while environment samples were also obtained. To corroborate the toxicity mechanism of heavy metals to bats liver, multi-omics, pathology and molecular biology methods were performed. Our results showed that more Cd and Pb elements were significantly enriched in bats liver and food sources in the CW group. In addition, prolonged heavy metals accumulation disturbed the hepatic transcription profiling associated with solute carriers family, ribosome pathway, ATP usage and heat shock proteins. Excessive heavy metals enrichment also altered the relative abundance of typical gut microbe taxa to inhibit the tight-junction protein expression. We also found that the levels of superoxide dismutase, glutathione peroxidase and glutathione were decreased while ROS density and malondialdehyde content were elevated after excessive heavy metals enrichment. Besides, hepatic fat accumulation and inflammation injury were also observed under the excessive heavy metals enrichment while the metabolism biomarkers contents were decreased. Therefore, prolonged heavy metals enrichment would induce a series of hepatotoxicity by disturbing the microbes-gut-liver axis and hepatic transcription modes, which could decrease the overall metabolism level in bats. Our study provided protection strategy for biodiversity conservation and raised public attention to environment pollution.
2024-01-28 | GSE254017 | GEO
Project description:Environmental contamination from heavy metals poses a global concern for the marine environment, as heavy metals are passed up the food chain and persist in the environment long after the pollution source is contained. Cnidarians, dating back to 700 million years ago, play an important role in shaping marine ecosystems, but environmental pollution profoundly affects their vitality. Among the cnidarians, the sea anemone Nematostella vectensis is an advantageous model for addressing questions in molecular ecology and toxicology as it tolerates extreme environments and its genome has been published. Here we employed a transcriptome-wide RNA-Seq approach to analyze N.vectensis molecular defense mechanisms against four heavy metals: Hg, Cu, Cd and Zn. Altogether, more than 5000 transcripts showed significant changes in gene expression, with Hg having the greatest impact on up-regulating transcripts, followed by Cu, Cd and Zn. We identified, for the first time, co-up-regulation of immediate-early transcription factors such as Egr1, AP1 and NF-κB. Time-course analysis of these genes revealed their early expression as rapidly as one hour after exposure to heavy metals, suggesting that they may complement or substitute for the roles of the metal mediating Mtf1 transcripton factor. We further characterized regulation of a large array of stress-response gene families including Hsp, ABC, CYP members and phytochelatin synthase that may regulate synthesis of the metal-binding phytochelatins instead of the methallothioneins that are absent from Cnidaria genome. This study provides mechanistic insight into heavy-metal toxicity in N.vectensis and sheds light on ancestral stress adaptations. 4 metals were tested in triplicates in comparison to control (4 replicates)
2015-12-22 | E-GEOD-58769 | biostudies-arrayexpress
Project description:Environmental contamination from heavy metals poses a global concern for the marine environment, as heavy metals are passed up the food chain and persist in the environment long after the pollution source is contained. Cnidarians, dating back to 700 million years ago, play an important role in shaping marine ecosystems, but environmental pollution profoundly affects their vitality. Among the cnidarians, the sea anemone Nematostella vectensis is an advantageous model for addressing questions in molecular ecology and toxicology as it tolerates extreme environments and its genome has been published. Here we employed a transcriptome-wide RNA-Seq approach to analyze N.vectensis molecular defense mechanisms against four heavy metals: Hg, Cu, Cd and Zn. Altogether, more than 5000 transcripts showed significant changes in gene expression, with Hg having the greatest impact on up-regulating transcripts, followed by Cu, Cd and Zn. We identified, for the first time, co-up-regulation of immediate-early transcription factors such as Egr1, AP1 and NF-κB. Time-course analysis of these genes revealed their early expression as rapidly as one hour after exposure to heavy metals, suggesting that they may complement or substitute for the roles of the metal mediating Mtf1 transcripton factor. We further characterized regulation of a large array of stress-response gene families including Hsp, ABC, CYP members and phytochelatin synthase that may regulate synthesis of the metal-binding phytochelatins instead of the methallothioneins that are absent from Cnidaria genome. This study provides mechanistic insight into heavy-metal toxicity in N.vectensis and sheds light on ancestral stress adaptations.
2015-12-22 | GSE58769 | GEO
Project description:Verbena bonariensis is a species with excellent garden plant, good environmental adaptability and great potential for future development.Cadmium has caused serious heavy metal pollution in the soil, which has posed a great threat to plant growth. In this study, Illumina sequencing technology was used to sequence the transcriptome of Verbena bonariensis leaf under normal and Cd stress, respectively. In total, 95,013 transcripts and 63021 genes with an average length of 923 bp and 1,246 bp were constructed from the clean sequence reads, respectively. And 1037 DEGs were found in response to cadmium treatment, of which 10 were selected for qRT-PCR. In conclusion, this study first identified the Verbena bonariensis as a heavy metal tolerant plant and provided the first large-scale transcriptional data set in response to cadmium stress. Our research will help to understand the mechanism of resistance to Cd in the Verbena bonariensis and provide clues for further studies on the relationships between plants and heavy metals in other Verbenaceae plants.
2018-01-18 | GSE101600 | GEO
Project description:For environmental safety, the high concentration of heavy metals in the soil should be removed. Cadmium (Cd), one of the heavy metals polluting the soil while its concentration exceeds 3.4 mg/kg in soil. Potential use of cotton for remediating heavy Cd-polluted soils is available while its molecular mechanisms of Cd tolerance remains unclear in cotton. In this study, transcriptome analysis was used to identify the Cd tolerance genes and their potential mechanism in cotton. Finally 4,627 differentially expressed genes (DEGs) in the root, 3,022 DEGs in the stem and 3,854 DEGs in leaves were identified through RNA-Seq analysis, respectively. These genes contained heavy metal transporter genes (ABC, CDF, HMA, etc.), annexin genes, heat shock genes (HSP) amongst others. Gene ontology (GO) analysis showed that the DEGs were mainly involved in the oxidation-reduction process and metal ion binding. The DEGs mainly enriched in two pathways, the influenza A and the pyruvate pathway. GhHMAD5 protein, containing a heavy-metal domain, was identified in the pathway to transport or to detoxify the heavy ion. GhHMAD5-overexpressed plants of Arabidopsis thaliana showed the longer roots compared with the control. Meanwhile, GhHMAD5-silenced cotton plants showed more sensitive to Cd stress compared with the control. The results indicated that GhHMAD5 gene is remarkably involved in Cd tolerance, which gives us a preliminary understanding of Cd tolerance mechanisms in upland cotton. Overall, this study provides valuable information for the use of cotton to remediate the soil polluted with heavy metals.
2019-04-25 | GSE126671 | GEO
Project description:Environmental pollution is a worldwide problem, and metals are the largest group of contaminants in soil. Microarray toxicogenomic studies with ecologically relevant organisms such as springtails, supplement traditional ecotoxicological research, but are presently rather descriptive. Classifier analysis, a more analytical application of the microarray technique, is able to predict biological classes of unknown samples. We used the uncorrelated shrunken centroid (USC) method to classify gene expression profiles of the springtail Folsomia candida exposed to soil spiked with six different metals (barium, cadmium, cobalt, chromium, lead, and zinc). We identified a gene set (classifier) of 188 genes that can discriminate between six different metals present in soil, which allowed us to predict the correct classes for samples of an independent test set with an accuracy of 83% (error rate = 0.17). This study shows further that in order to apply classifier analysis to actual contaminated field soil samples, more insight and information is needed on the transcriptional responses of soil organisms to different soil types (properties) and mixtures of contaminants.
2010-02-05 | GSE19353 | GEO
Project description:Background: The high number of heavy metal resistance genes in the soil bacterium Cupriavidus metallidurans CH34 makes it an interesting model organism to study microbial responses to heavy metals. Results: In this study the transcriptional response of this bacterium was measured after challenging it to a wide range of sub-lethal concentrations of various essential or toxic metals. Considering the global transcriptional responses for each challenge as well as by identifying the overlap in upregulated genes between different metal responses, the sixteen metals could be clustered in three different groups. Additionally, next to the assessment of the transcriptional response of already known metal resistance genes, new metal response gene clusters were identified. The majority of the metal response loci showed similar expression profiles when cells were exposed to different metals, suggesting complex cross-talk at transcriptional level between the different metal responses. The highly redundant nature of these metal resistant regions – illustrated by the large number of paralogous genes – combined with the phylogenetic distribution of these metal response regions within evolutionary related and other metal resistant bacteria, provides important insights on the recent evolution of this naturally soil dwelling bacterium towards a highly metal-resistant strain found in harsh and anthropogenic environments. Conclusions: The metal-resistant soil bacterium Cupriavidus metallidurans CH34 displays myriads of gene expression patterns when exposed to a wide range of heavy metals at non-lethal concentrations. The interplay between the different gene expression clusters points towards a complex cross-regulated regulatory network governing heavy metal resistance in C. metallidurans CH34. Keywords: Cupriavidus metallidurans CH34, transcriptional regulation, heavy metal resistance
2011-06-28 | GSE23876 | GEO
Project description:Background: The high number of heavy metal resistance genes in the soil bacterium Cupriavidus metallidurans CH34 makes it an interesting model organism to study microbial responses to heavy metals. Results: In this study the transcriptional response of this bacterium was measured after challenging it to a wide range of sub-lethal concentrations of various essential or toxic metals. Considering the global transcriptional responses for each challenge as well as by identifying the overlap in upregulated genes between different metal responses, the sixteen metals could be clustered in three different groups. Additionally, next to the assessment of the transcriptional response of already known metal resistance genes, new metal response gene clusters were identified. The majority of the metal response loci showed similar expression profiles when cells were exposed to different metals, suggesting complex cross-talk at transcriptional level between the different metal responses. The highly redundant nature of these metal resistant regions – illustrated by the large number of paralogous genes – combined with the phylogenetic distribution of these metal response regions within evolutionary related and other metal resistant bacteria, provides important insights on the recent evolution of this naturally soil dwelling bacterium towards a highly metal-resistant strain found in harsh and anthropogenic environments. Conclusions: The metal-resistant soil bacterium Cupriavidus metallidurans CH34 displays myriads of gene expression patterns when exposed to a wide range of heavy metals at non-lethal concentrations. The interplay between the different gene expression clusters points towards a complex cross-regulated regulatory network governing heavy metal resistance in C. metallidurans CH34. Keywords: Cupriavidus metallidurans CH34, transcriptional regulation, heavy metal resistance Two-condition experiments. Comparing samples after induction with heavy metals versus non-induced samples. Biological duplicate or triplicate. Each array contains 3 or 4 technical replicates.
2011-06-28 | E-GEOD-23876 | biostudies-arrayexpress
Project description:The goals of this study are to compare NGS-derived transcriptome of ampullate gland and cerebral ganglia under single and combined exposure to cadmium (Cd) and lead (Pb). The upregulated ampullate spidroin genes, downregulated protein anabolic genes, upregulated Far genes, and downregulated TUBA genes exhibit promising potential as biomarkers for silk protein synthesis and cellular degeneration, respectively. Moreover, the overexpression of AChE, Glu, and Unc13a genes may induce crucial neurotransmitters. This study offers an enormous capability for comprehensively understanding of the eco-toxicological effects and mechanisms of multi-heavy metals pollution.
2023-08-15 | GSE240836 | GEO
Project description:Environmental pollution is a worldwide problem, and metals are the largest group of contaminants in soil. Microarray toxicogenomic studies with ecologically relevant organisms such as springtails, supplement traditional ecotoxicological research, but are presently rather descriptive. Classifier analysis, a more analytical application of the microarray technique, is able to predict biological classes of unknown samples. We used the uncorrelated shrunken centroid (USC) method to classify gene expression profiles of the springtail Folsomia candida exposed to soil spiked with six different metals (barium, cadmium, cobalt, chromium, lead, and zinc). We identified a gene set (classifier) of 188 genes that can discriminate between six different metals present in soil, which allowed us to predict the correct classes for samples of an independent test set with an accuracy of 83% (error rate = 0.17). This study shows further that in order to apply classifier analysis to actual contaminated field soil samples, more insight and information is needed on the transcriptional responses of soil organisms to different soil types (properties) and mixtures of contaminants. Gene expression was measured in springtails after exposure of 2 days to soil containing either EC10 or EC50 of 6 different metals. The exposure experiment was performed in two separate series (1 and 2), both containing a separate non-spiked (LUFA 2.2) soil control. Also, two field soil samples were tested. The samples were divided into a separate training set and a validation set for USC classifier analysis.
2010-02-04 | E-GEOD-19353 | biostudies-arrayexpress