Ontology highlight
ABSTRACT:
PROVIDER: PRJNA592951 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR10569100_1.fastq.gz | Fastqsanger.gz | |||
| SRR10569100_2.fastq.gz | Fastqsanger.gz | |||
| SRR10569101_1.fastq.gz | Fastqsanger.gz | |||
| SRR10569101_2.fastq.gz | Fastqsanger.gz | |||
| SRR10569102_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 36 |
Similar Datasets
Project description:A functional microarray targeting 24 genes involved in chlorinated solvent biodegradation pathways has been developed and used to monitor the gene expression in a contaminated site (site B) under ERD (enhanced reductive dechlorination) treatment. The microarray format provided by NimbleGen and used in this study is 12x135K. 4 M-BM-5g of labelled antisense mRNA from 3 groundwater samples were hybridized on the microarray. A 3-chip study was performed, each corresponding to hybridization with 4 M-BM-5g of labelled antisense mRNA retrieved from a monitoring well of a contaminated site (site B). Each probe (760nt) on the microarray was synthesized in eight replicates, and a total of 5,707 random probes was used to determine the background noise. Groundwater samples were collected from a contaminated site (site B) from three monitoring wells (P1, P2 and P3). P1: well located upstream to the contamination source. P2: well in the contamination source. P3 : well located downstream to the contamination source.
2012-04-02 | E-GEOD-28608 | biostudies-arrayexpress
Project description:A functional microarray targeting 24 genes involved in chlorinated solvent biodegradation pathways has been developed and used to monitor the gene diversity present in four trichloroethylene (TCE) contaminated sites under ERD (enhanced reductive dechlorination) treatment. The microarray format provided by NimbleGen and used in this study is 12x135K. 2 M-BM-5g of labelled gDNA from 30 groundwater samples were hybridized on the microarrays. A 30-chip study was performed, each chip corresponding to hybridization with 2 M-BM-5g of labelled gDNA retrieved from a monitoring well from one of the four contaminated sites. Each probe (760nt) on the microarray was synthesized in eight replicates, and a total of 5,707 random probes was used to determine the background noise. Groundwater samples were collected from four contaminated sites (B, F, G and H), four monitoring wells per site (P1, P2, P3 and P4). P1: well located upstream to the contamination source. P2: well in the contamination source. P3 and P4: wells located downstream to the contamination source. For site B, the monitoring of ERD demonstration was performed through a total of 5 sampling campaigns: C1 (T=0), C2 (T=104 days), C3 (T=231 days), C4 (T=291 days) and C5 (T=378 days). For the three other sites (F, G and H), only one sampling campaign was performed after the treatment.
2012-04-02 | E-GEOD-28606 | biostudies-arrayexpress
Project description:A functional microarray targeting 24 genes involved in chlorinated solvent biodegradation pathways has been developed and used to monitor the gene diversity present in four trichloroethylene (TCE) contaminated sites under ERD (enhanced reductive dechlorination) treatment. The microarray format provided by NimbleGen and used in this study is 12x135K. 2 µg of labelled gDNA from 30 groundwater samples were hybridized on the microarrays.
2012-04-03 | GSE28606 | GEO
Project description:A functional microarray targeting 24 genes involved in chlorinated solvent biodegradation pathways has been developed and used to monitor the gene expression in a contaminated site (site B) under ERD (enhanced reductive dechlorination) treatment. The microarray format provided by NimbleGen and used in this study is 12x135K. 4 µg of labelled antisense mRNA from 3 groundwater samples were hybridized on the microarray.
2012-04-03 | GSE28608 | GEO
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples.
2016-04-01 | GSE55293 | GEO
Project description:Samples of oil and production water were collected from five wells of the Qinghai Oilfield, China, and subjected to GeoChip hybridization experiments for microbial functional diversity profiling. Unexpectedly, a remarkable microbial diversity in oil samples, which was higher than that in the corresponding water samples, was observed, thus challenging previously believed assumptions about the microbial diversity in this ecosystem. Hierarchical clustering separated oil and water samples, thereby indicating distinct functional structures in the samples. Genes involved in the degradation of hydrocarbons, organic remediation, stress response, and carbon cycling were significantly abundant in crude oil, which is consistent with their important roles in residing in oil. Association analysis with environmental variables suggested that oil components comprising aromatic hydrocarbons, aliphatic hydrocarbons, and a polar fraction with nitrogen-, sulfur-, and oxygen-containing compounds were mainly influential on the structure of the microbial community. Furthermore, a comparison of microbial communities in oil samples indicated that the structures were depth/temperature-dependent. To our knowledge, this is the first thorough study to profile microbial functional diversity in crude oil samples. From the Qinghai Oilfield located in the Tibetan Plateau, northwest China, oil production mixtures were taken from four oil production wells (No. 813, 516, 48 and 27) and one injection well (No. 517) in the Yue-II block. The floating oil and water phases of the production mixtures were separated overnight by gravitational separation. Subsequently, the microbial community and the characteristics of the water solution (W813, W516, W48, and W27) and floating crude oil (O813, O516, O48, and O27) samples were analyzed. A similar analysis was performed with the injection water solution (W517).
2016-04-01 | E-GEOD-55293 | biostudies-arrayexpress
Project description:Oil-contaminated microbial community diversity
| PRJNA290823 | ENA