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
Medicago truncatula has become the focus of systems biology research for improved legume crop breeding. In plant systems biology, several comparative studies have been carried out using liquid chromatography shotgun mass spectrometry (LC-MS/MS) and database-dependent protein identification analyses in combination with the spectral count for relative quantification. In order to receive optimal protein identification rates and spectral count quantification, data-dependent tandem mass spectrometry with LC separation of more than 1 h is required. Thus LC-MS/MS analyses time is the bottleneck for high-throughput research of experiments with high sample number.We describe a novel method, called full-scan (FS) selective peptide extraction, that allows for comparative quantification of target peptides combined with a significant reduction in LC-MS analysis time. In future, it will be a useful tool to detect (15)N-labeled selected peptide patterns for the targeted analysis of protein turnover and synthesis. We provide a first reference library of selected target peptides generated for M. truncatula leaf tissue. These peptides are also suitable candidates for selective reaction monitoring approaches.
Download full-text PDF |
Source |
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http://dx.doi.org/10.1007/978-1-62703-631-3_22 | DOI Listing |
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