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
98%
921
2 minutes
20
Circular Ribonucleic Acid (CircRNA) plays regulatory roles in many biological processes, such as tumors and metabolic diseases. Due to the fact that circRNA is more stable and conservative than linear RNA, circRNA has become a potential biomarker in early clinical diagnosis and biomedical research. Therefore, the quantification of circRNA expression level is of importance for understanding their functions and their applications for disease diagnosis and treatment. Nevertheless, due to the low abundance of circRNA, it is still a challenge for the analysis of circRNA in cells. Herein, we proposed a sensitive detection method for circRNA based on the T7 exonuclease-assisted cycling enzymatic amplification. The fluorescent sensor was constructed by a hairpin molecular beacon and T7 exonuclease. With the cycling enzymatic amplification process, this sensor achieved the limit of detection of 1 pM with a good linear correlation in the range of 0-100 pM (R = 0.9891) using circBART2.2 as a model. Furthermore, we applied the proposed method in the determination of circBART2.2 in cell lysates. The results demonstrated that this method has promising applications in early diagnosis of Epstein-Barr virus (EBV) infection-related diseases using circRNA as the biomarker.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.aca.2021.339210 | DOI Listing |