A bioinformatics approach revealed the transcription factors of Helicobacter pylori pathogenic genes and their regulatory network nodes
Electron. j. biotechnol
;
45: 53-59, May 15, 2020. tab, ilus
Artigo
em Inglês
| LILACS
| ID: biblio-1177447
ABSTRACT
BACKGROUND:
Helicobacter pylori is a chronic pathogenic bacteria that causes gastric mucosal damage through various host-related and pathogen-related factors. Thus, a single gene research cannot fully explain its pathogenicity. PURPOSE OF STUDY It is necessary to establish a Helicobacter pylori pathogenic gene transcription factor regulatory network (TFRN) and study its central nodes.RESULTS:
The expression data of Helicobacter pylori pathogenic genes were obtained through GEO Datasets of NCBI. The genes were screened using linear model-empirical Bayesian statistics in R language Limma package combined with the conventional t-test; the results identified 1231 differentially expressed genes. The functional analysis (gene ontology-analysis) and signal pathway analysis (pathway-analysis) of differentially expressed genes were performed using the DAVID and KEGG databases, respectively. The pathogenic gene regulatory network was constructed by integrating transcriptional regulatory element database (TRED); the disease-related analysis of the pathogenic genes was conducted using the DAVID annotation tool. Five pathogenic genes (Nos2, Il5, Colla1, Tnf, and Nfkb1) and their transcription factors (Jun, Cebpa, Egrl, Ppara, and Il6) were found to suppress the host immune function and enhance the pathogenicity of Helicobacter pylori by regulating the host immune system.CONCLUSIONS:
This effect was largely mediated via three signaling pathways Tnf pathway, PI3K Akt pathway, and JakSTAT pathway. The pathogenicity of Helicobacter pylori is closely related to the body's immune and inflammatory system. A better understanding of the correlation of the pathogenic factors with the host immune and inflammatory factors may help to determine the precise pathogenic mechanism of H. pylori infection.
Texto completo:
DisponíveL
Índice:
LILACS (Américas)
Assunto principal:
Helicobacter pylori
/
Biologia Computacional
Tipo de estudo:
Estudo prognóstico
Idioma:
Inglês
Revista:
Electron. j. biotechnol
Assunto da revista:
Biotecnologia
Ano de publicação:
2020
Tipo de documento:
Artigo
País de afiliação:
China
Instituição/País de afiliação:
Beihua University/CN
/
Jilin Medical University/CN
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