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Hum Genomics ; 15(1): 22, 2021 04 19.
Artículo en Inglés | MEDLINE | ID: mdl-33875006

RESUMEN

BACKGROUND: Currently, Chlamydia trachomatis-specific host defense mechanisms in humans remain poorly defined. To study the characteristics of host cells infected early with Chlamydia trachomatis, we used bioinformatics methods to analyze the RNA transcription profiles of the conjunctiva, fallopian tubes, and endometrium in humans infected with Chlamydia trachomatis. METHOD: The gene expression profiles of GSE20430, GSE20436, GSE26692, and GSE41075 were downloaded from the Gene Expression Synthesis (GEO) database. Then, we obtained the differentially expressed genes (DEGs) through the R 4.0.1 software. STRING was used to construct protein-protein interaction (PPI) networks; then, the Cytoscape 3.7.2 software was used to visualize the PPI and screen hub genes. GraphPad Prism 8.0 software was used to verify the expression of the hub gene. In addition, the gene-miRNA interaction was constructed on the NetworkAnalyst 3.0 platform using the miRTarBase v8.0 database. RESULTS: A total of 600 and 135 DEGs were screened out in the conjunctival infection group and the reproductive tract infection group, respectively. After constructing a PPI network and verifying the hub genes, CSF2, CD40, and CSF3 in the reproductive tract infection group proved to have considerable statistical significance. CONCLUSION: In our research, the key genes in the biological process of reproductive tract infection with Chlamydia trachomatis were clarified through bioinformatics analysis. These hub genes may be further used in clinical treatment and clinical diagnosis.


Asunto(s)
Antígenos CD40/genética , Chlamydia trachomatis/genética , Conjuntiva/metabolismo , Factor Estimulante de Colonias de Granulocitos y Macrófagos/genética , Infecciones del Sistema Genital/genética , Chlamydia trachomatis/patogenicidad , Biología Computacional , Conjuntiva/microbiología , Conjuntiva/parasitología , Trompas Uterinas/metabolismo , Trompas Uterinas/microbiología , Trompas Uterinas/patología , Femenino , Redes Reguladoras de Genes/genética , Interacciones Huésped-Patógeno/genética , Humanos , MicroARNs/genética , Mapas de Interacción de Proteínas/genética , Infecciones del Sistema Genital/microbiología , Infecciones del Sistema Genital/patología , Transducción de Señal/genética , Programas Informáticos
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