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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Traditional enzyme characterization methods are low-throughput and therefore limit engineering efforts in synthetic biology and biotechnology. Here, we propose a DNA-linked enzyme-coupled assay (DLEnCA) to monitor enzyme reactions in a high-throughput manner. Throughput is improved by removing the need for protein purification and by limiting the need for liquid chromatography mass spectrometry (LCMS) product detection by linking enzymatic function to DNA modification. We demonstrate the DLEnCA methodology using glucosyltransferases as an illustration. The assay utilizes cell free transcription/translation systems to produce enzymes of interest, while UDP-glucose and T4-β-glucosyltransferase are used to modify DNA, which is detected postreaction using qPCR or a similar means of DNA analysis. OleD and two glucosyltransferases from Arabidopsis were used to verify the assay's generality toward glucosyltransferases. We further show DLEnCA's utility by mapping out the substrate specificity for these enzymes.
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http://dx.doi.org/10.1021/sb500341a | DOI Listing |