Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein fingerprinting
- PMID: 20045516
- DOI: 10.1016/j.fertnstert.2009.08.061
Identification biomarkers of eutopic endometrium in endometriosis using artificial neural networks and protein fingerprinting
Abstract
Surface-enhanced laser desorption/ionization time-of-flight mass spectrometry (SELDI-TOF-MS) protein chip array technology was used to detect biomarkers of eutopic endometrium in endometriosis patients. Five potential biomarkers (6,898 m/z, 5,891 m/z, 5,385 m/z, 6,448 m/z, and 5,425 m/z) were found.
Copyright 2010 American Society for Reproductive Medicine. Published by Elsevier Inc. All rights reserved.
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