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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Renewable and scalable human liver tissue platforms are a powerful tool to study organ physiology and model diseases, such as cancer. Stem cell-derived models provide an alternative to cell lines, which can display limited relevance to primary cells and tissue. Historically, two-dimensional (2D) cultures have been used to model liver biology as they are easy to scale and deploy. However, 2D liver models lack functional diversity and phenotypic stability in long-term culture. To address those issues, protocols for generating the three-dimensional (3D) tissue aggregates have been developed. Here, we describe a methodology to generate 3D liver spheres from pluripotent stem cells. Liver spheres are composed of three key liver cell types (hepatic progenitor cells, endothelial cells, and hepatic stellate cells) and have been used to study human cancer cell metastasis.
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http://dx.doi.org/10.1007/978-1-0716-3056-3_11 | DOI Listing |