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Co-expression network analysis of placental transcriptome as the basis for searching signal ways and preeclampsia biomarkers

https://doi.org/10.25557/2073-7998.2020.11.71-72

Abstract

The problem of prevention and early diagnosis of preeclampsia continues to be one of the leading in obstetrics. It`s a major problem that contributes substantially to maternal and perinatal morbidity and mortality worldwide . Gene expression contributes significantly to the pathogenesis of placental diseases. Traditional methods of studying gene expression are based on the search of differentially expressed genes in a disease, but this approach considers genes in isolation. Coexpression analysis describes the genes involved in the unified biological pathways of the pathological process and also allows you to select in each of the clusters the most functionally significant gene in the network - the hub gene.

About the Authors

A. A. Babovskaya
Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation


E. A. Trifonova
Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation


A. A. Zarubin
Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation


A. V. Markov
Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation


V. A. Stepanov
Research Institute of Medical Genetics, Tomsk National Research Medical Center, Russian Academy of Sciences
Russian Federation


References

1. Gene Expression Omnibus. URL: https://www.ncbi.nlm.nih.gov/geo/

2. DAVID Bioinformatics Resources 6.8. URL: https://david.ncifcrf.gov/

3. STRING. URL: https://string-db.org/

4. Wu Y. et al. Identification of novel biomarkers for preeclampsia on the basis of differential expression network analysisю Experimental and therapeutic medicine 2016; 12(1): 201-207.


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For citations:


Babovskaya A.A., Trifonova E.A., Zarubin A.A., Markov A.V., Stepanov V.A. Co-expression network analysis of placental transcriptome as the basis for searching signal ways and preeclampsia biomarkers. Medical Genetics. 2020;19(11):71-72. (In Russ.) https://doi.org/10.25557/2073-7998.2020.11.71-72

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ISSN 2073-7998 (Print)