Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 144
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 144
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 212
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3106
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Surface water samples constantly receive a vast mixture of micropollutants mainly originating from wastewater treatment plants (WWTPs). High-throughput live cell arrays provide a promising method for the characterization of the effects of chemicals and the associated molecular mechanisms. In the present study, this test system was evaluated for the first time for the characterization of a set of typical surface water extracts receiving effluent from WWTPs. The extracts containing complex mixtures of micropollutants were analyzed for the expression of 90 stress responsive genes in the Escherichia coli reporter gene assay. The most affected pathways and the genes most sensitive to surface water samples suggested prominent stress-responsive pathways for wastewater-impacted surface water, such as oxidative stress, DNA damage, and drug resistance. Samples strongly affecting particular pathways were identified by statistical analysis of gene expression. Transcription data were correlated with contamination data from chemical screening and percentages of wastewater in the samples. Samples with particular effects and outstanding chemical composition were analyzed. For these samples, hypotheses on the alteration of the transcription of genes involved in drug resistance and DNA repair attributable to the presence of pharmaceuticals were drawn.
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Source |
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http://dx.doi.org/10.1002/etc.3083 | DOI Listing |
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