<HashMap><database>iProX</database><scores/><additional><omics_type>Proteomics</omics_type><submitter>Yaping Jin</submitter><species>Capra Hircus</species><full_dataset_link>http://www.iprox.org/page/project.html?id=IPX0004443000</full_dataset_link><submitter_email>yapingjin@163.com</submitter_email><submitter_affiliation>College of Veterinary Medicine, Northwest A&amp;amp;F University</submitter_affiliation><sample_protocol></sample_protocol><repository>iProX</repository><data_protocol></data_protocol><pubmed_abstract>The inflammatory system activated by uterine infection is associated with decreased fertility. Diseases can be detected in advance by identifying biomarkers of several uterine diseases. Escherichia coli is one of the most frequent bacteria that is involved in pathogenic processes in dairy goats. The purpose of this study was to investigate the effect of endotoxin on protein expression in goat endometrial epithelial cells. In this study, the LC-MS/MS approach was employed to investigate the proteome profile of goat endometrial epithelial cells. A total of 1180 proteins were identified in the goat Endometrial Epithelial Cells and LPS-treated goat Endometrial Epithelial Cell groups, of which, 313 differentially expressed proteins were accurately screened. The proteomic results were independently verified by WB, TEM and IF techniques, and the same conclusion was obtained. To conclude, this model is suitable for the further study of infertility caused by endometrial damage caused by endotoxin. These findings may provide useful information for the prevention and treatment of endometritis.</pubmed_abstract><pubmed_title>A Comparative Proteomic Analysis to Explore the Influencing Factors on Endometritis Using LC-MS/MS.</pubmed_title><pubmed_authors>Jiang Xingcan X, Li Ziyuan Z, Chang Xiyv X, Lian Zhengjie Z, Wang Aihua A, Lin Pengfei P, Chen Huatao H, Zhou Dong D, Tang Keqiong K, Jin Yaping Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Label-free proteomics of endometrial epithelial cell for identification of presumptive biomarkers of endometritis</name><description>A total of 1180 proteins were identified in the control group and endometritis model group, of which 313 differential proteins were accurately quantified. The proteomic results were verified by WB, TEC and IF techniques, and the same conclusion was obtained.</description><dates><publication>Wed May 18 00:00:00 BST 2022</publication></dates><accession>PXD033950</accession><cross_references><TAXONOMY>9925</TAXONOMY><pubmed>37373165</pubmed></cross_references></HashMap>