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: 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
Conclusion: The results of this study demonstrate that proteomic analysis can be successfully performed on formalin-fixed celloidin-embedded (FFCE) archival human cochlear tissues.
Objective: To investigate the feasibility of analyzing protein expression in archival cochlear tissues.
Material And Methods: A new methodology, referred to as Liquid Tissue(TM), was used to extract proteins from human cochlear tissue sections and spiral ganglion tissue isolated by laser microdissection (LMD). Protein identification was performed by bioinformatic analysis of high resolution tandem mass spectrometric data from fractionated tryptic peptide samples.
Results: Twenty-six proteins were identified with a minimum of 2 unique peptides and 450 proteins were identified with 1 unique peptide at a confidence level of 95% in cochlear tissue. Ten proteins were identified with a minimum of 2 unique peptides and 485 proteins were identified with 1 unique peptide at a confidence level of 95% in spiral ganglion tissue.
Download full-text PDF |
Source |
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http://dx.doi.org/10.3109/00016481003591749 | DOI Listing |
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