APPLICATION OF BIOINFORMATICS FOR ANALYSIS OF CELLULAR SIGNAL TRANSDUCTION PATHWAYS

Authors

  • L.M. Kovalevska R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, NAS of Ukraine, Kyiv, Ukraine
  • A.S. Matvieieva R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, NAS of Ukraine, Kyiv, Ukraine
  • E.V. Kashuba R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology, NAS of Ukraine, Kyiv, Ukraine

DOI:

https://doi.org/10.32471/oncology.2663-7928.t-22-3-2020-g.9204

Keywords:

bioinformatics analysis, chronic lymphocytic leukemia, FunCoup, signal transduction pathways, transcription factors

Abstract

Aim: to perform a search for cellular signaling pathways that are altered in transformed B-lymphocytes at chronic lymphocytic leukemia (CLL). Object and methods: the FunCoup algorithm was used to search for genomic functional associations for SMAD and STAT family proteins. Results: using the FunCoup algorithm to analyze the functional relationships of SMAD and STAT family proteins, it was shown that SMAD4 and STAT5A proteins play the main role in these cellular signaling pathways. Moreover, the analysis showed that these signaling pathways intersect with the pathways, regulating chromatin structure. It is likely that the inactivity of the certain areas of chromatin might cause the inability to transactivate the SMAD4- and STAT5-dependent genes in transformed B-cells at CLL.

 

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Published

2020-12-24

How to Cite

Kovalevska , L., Matvieieva , A., & Kashuba , E. (2020). APPLICATION OF BIOINFORMATICS FOR ANALYSIS OF CELLULAR SIGNAL TRANSDUCTION PATHWAYS. Oncology, 22(3-4), 129–134. https://doi.org/10.32471/oncology.2663-7928.t-22-3-2020-g.9204

Issue

Section

Original investigations