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
Knockout CRISPR screening enables the unbiased discovery of genes with a functional role in almost any cellular or molecular process of interest. The approach couples a genome-scale library of guide RNA (gRNA), the Cas9 endonuclease, and a faithful phenotypic read-out to systematically identify candidate genes via their loss-of-function effect. Here we provide a detailed description of the CRISPR screen protocol and outline how to apply it to decipher the gene networks that underlie developmental cell fate decisions. As a paradigm we use the in vitro model of cell state transition(s) from naive pluripotency to primordial germ cell (PGC) fate, exploiting the Stella-GFP:Esg1-tdTomato (SGET) mouse ESC line. The principles in this protocol can be readily adapted to characterize lineage regulators for other cell fate models and/or for other species.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/978-1-0716-0958-3_7 | DOI Listing |
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!