Severity: Warning
Message: file_get_contents(https://...@gmail.com&api_key=61f08fa0b96a73de8c900d749fcb997acc09&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 197
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 197
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 271
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3165
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 597
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 511
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 317
Function: require_once
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Robotized high throughput screening allows for the assessment of autophagy in a large number of samples. Here, we describe a drug discovery platform for the phenotypic identification of novel autophagy inducers by means of automated cell biology workflows employing robotized cell culture, sample preparation and data acquisition. In this setting, fluorescent biosensor cells that express microtubule-associated proteins 1A/1B light chain 3B (best known as LC3) conjugated to green fluorescent protein (GFP), are utilized together with automated high content microscopy for the image-based assessment of autophagy. In sum, we detail a drug discovery screening workflow from high throughput sample preparation and processing to data acquisition and analysis.
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http://dx.doi.org/10.1016/bs.mcb.2020.12.011 | DOI Listing |