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
Surrogate genetically encoded markers have been utilized in order to analyze gene transfer efficacy, location, and persistence. These marker genes have greatly accelerated the development of gene transfer vectors for the ultimate application of gene therapy using therapeutic genes. They have also been used in many other applications, such as gene marking in order to study developmental cell lineages, to track cell migration, and to study tumor growth and metastasis. This chapter aims to describe the analysis of several commonly used marker genes: green fluorescent protein (GFP), β-galactosidase, firefly luciferase, human factor IX, and alkaline phosphatase. The merits and disadvantages of each are briefly discussed. In addition a few short examples are provided for continual and endpoint analysis in different disease models including hemophilia, cystic fibrosis, ornithine transcarbamylase deficiency and Gaucher disease.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/978-1-61779-873-3_13 | DOI Listing |
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