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Hum Genomics ; 15(1): 22, 2021 04 19.
Artigo em Inglês | MEDLINE | ID: mdl-33875006

RESUMO

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.


Assuntos
Antígenos CD40/genética , Chlamydia trachomatis/genética , Túnica Conjuntiva/metabolismo , Fator Estimulador de Colônias de Granulócitos e Macrófagos/genética , Infecções do Sistema Genital/genética , Chlamydia trachomatis/patogenicidade , Biologia Computacional , Túnica Conjuntiva/microbiologia , Túnica Conjuntiva/parasitologia , Tubas Uterinas/metabolismo , Tubas Uterinas/microbiologia , Tubas Uterinas/patologia , Feminino , Redes Reguladoras de Genes/genética , Interações Hospedeiro-Patógeno/genética , Humanos , MicroRNAs/genética , Mapas de Interação de Proteínas/genética , Infecções do Sistema Genital/microbiologia , Infecções do Sistema Genital/patologia , Transdução de Sinais/genética , Software
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