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
Striving to achieve greater clinical relevance, researchers in basic science and in drug discovery are transitioning from biochemical investigations using cell lines to technologies that garner mechanistic information from primary patient material. Such studies can be broad in scope, despite limited sample material and cell-type heterogeneity. The development of flow cytometry for following intracellular signaling has met some of these demands and opened new avenues for mechanistic exploration. This review covers some of the most recent research to leverage this new technology and follows two new developments: increasing interest in JAK/STAT signaling, and experimental strategies that reveal disease-induced modulation of signaling networks.
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