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: 3122
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
Analytics for host cell protein (HCP) analysis of therapeutic monoclonal antibody preparations have developed enormously. We consider how learnings from this can inform HCP analysis of gene therapy viral vector products. The application of mass spectrometry (MS) approaches for analysis of HCPs in viral vector preparations is being established, although such information remains limited and is yet to be widely applied into process or host cell line development to reduce HCP amounts or risk. As these MS approaches, and the data from them, are applied and become available, the process understanding created will speed process development activity. We describe technologies that have been, or can be, applied to viral vector HCP analysis to aid process development, reduce HCP amounts, identify critical HCPs and thus inform risk assessment and management based on a knowledge of specific HCPs, ultimately delivering safe and efficacious gene therapy products to the clinic.
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Source |
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http://dx.doi.org/10.1016/j.copbio.2021.06.026 | DOI Listing |
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