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
Objective: To fabricate in vitro cell-dense, three-dimensional (3D) tumor models by employing a cell sheet technology for testing anti-cancer drug efficacy.
Results: The stratified liver tumor models were fabricated by stacking contiguous HepG2 cell sheets. Triple-layer (3L), double-layer (2L), single-layer (1L) cell sheet-based liver tumor models (CSLTMs) demonstrated 106, 96, 85% cell viability, respectively, after 3 days treatment of 10 µM doxorubicin hydrochloride (DOX), while cell viability in two-dimensional (2D) conventional culture (control) was 27%. After 7 days of DOX treatment, the viabilities of 3L, 2L, 1L, control were 24, 14, 3 and 4%, respectively. Probable explanations were blocked diffusion of DOX by the intact and multilayered structure and also hypoxia in the bottom of multilayered cell sheets.
Conclusion: CSLTMs showed a thickness-dependent cytotoxic efficacy of DOX and greater drug resistance than the control, thereby providing useful information toward the development of improved biomimetic tumor models.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s10529-017-2476-1 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!