Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes

Joint Authors

Ye, Xiaofeng
Zeng, Tianshu
Kong, Wen
Chen, Lu-lu

Source

Journal of Immunology Research

Issue

Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2020-10-06

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Biology

Abstract EN

Objective.

Fulminant type 1 diabetes (FT1D) is a type of type 1 diabetes, which is characterized by rapid onset of disease and severe metabolic disorders.

We intend to screen for crucial genes and potential molecular mechanisms in FT1D in this study.

Method.

We downloaded GSE44314, which includes six healthy controls and five patients with FT1D, from the GEO database.

Identification of differentially expressed genes (DEGs) was performed by NetworkAnalyst.

The Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of DEGs were screened by an online tool—Database for Annotation, Visualization, and Integration Discovery (DAVID).

Protein-protein interaction (PPI) network and hub genes among DEGs were analyzed by NetworkAnalyst.

And we also use NetworkAnalyst to find out the microRNAs (miRNAs) and transcription factors (TFs) which regulate the expression of DEGs.

Result.

We identified 130 DEGs (60 upregulated and 70 downregulated DEGs) between healthy controls and FT1D patients.

GO analysis results revealed that DEGs were mostly enriched in generation of precursor metabolites and energy, neurohypophyseal hormone activity, and mitochondrial inner membrane.

KEGG pathway analysis demonstrated that DEGs were mostly involved in nonalcoholic fatty liver disease.

Results indicated that NCOA1, SRF, ERBB3, EST1, TOP1, UBE2S, INO80, COX7C, ITGAV, and COX6C were the top hub genes in the PPI network.

Furthermore, we recognized that LDLR, POTEM, IFNAR2, BAZ2A, and SRF were the top hub genes in the miRNA-target gene network, and SRF, TSPAN4, CD59, ETS1, and SLC25A25 were the top hub genes in the TF-target gene network.

Conclusion.

Our study pinpoints key genes and pathways associated with FT1D by a sequence of bioinformatics analysis on DEGs.

These identified genes and pathways provide more detailed molecular mechanisms of FT1D and may provide novel therapeutic targets.

American Psychological Association (APA)

Ye, Xiaofeng& Zeng, Tianshu& Kong, Wen& Chen, Lu-lu. 2020. Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes. Journal of Immunology Research،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186871

Modern Language Association (MLA)

Ye, Xiaofeng…[et al.]. Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes. Journal of Immunology Research No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1186871

American Medical Association (AMA)

Ye, Xiaofeng& Zeng, Tianshu& Kong, Wen& Chen, Lu-lu. Integrative Analyses of Genes Associated with Fulminant Type 1 Diabetes. Journal of Immunology Research. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1186871

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1186871