Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 1034
Function: getPubMedXML
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3152
Function: GetPubMedArticleOutput_2016
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
To characterize the specificity of synthetic compounds for peroxisome proliferator-activated receptors (PPARs), three stable cell lines expressing the ligand binding domain (LBD) of human PPARalpha, PPARdelta, or PPARgamma fused to the yeast GAL4 DNA binding domain (DBD) were developed. These reporter cell lines were generated by a two-step transfection procedure. First, a stable cell line, HG5LN, expressing the reporter gene was developed. These cells were then transfected with the different receptor genes. With the help of the three PPAR reporter cell lines, we assessed the selectivity and activity of PPAR agonists GW7647, WY-14-643, L-165041, GW501516, BRL49653, ciglitazone, and pioglitazone. GW7647, L-165041, and BRL49653 were the most potent and selective agonists for hPPARalpha, hPPARdelta, and hPPARgamma, respectively. Two PPAR antagonists, GW9662 and BADGE, were also tested. GW9662 was a selective PPARgamma antagonist, whereas BADGE was a low-affinity PPAR ligand. Furthermore, GW9662 was a full antagonist on PPARgamma and PPARdelta, whereas it showed partial agonism on PPARalpha. We conclude that our stable models allow specific and sensitive measurement of PPAR ligand activities and are a high-throughput, cell-based screening tool for identifying and characterizing PPAR ligands.
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Source |
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http://dx.doi.org/10.1016/j.ab.2005.06.010 | DOI Listing |
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