In silico Evaluation of WWC1 in Melanoma Using  Bioinformatic Analyses

Kamer Çolak Dilara; Ünal Ufuk; Bolkent Sema

doi:https://dx.doi.org/10.26650/EurJBiol.2022.1168881

Research Article

DOI :10.26650/EurJBiol.2022.1168881 IUP :10.26650/EurJBiol.2022.1168881 Full Text (PDF)

In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses

Dilara Kamer Çolak, Ufuk Ünal, Sema Bolkent

Objective: It is suggested that WWC1 has an active role in melanoma progression. Therefore, it was aimed to evaluate the WWC1 gene expression profiles in melanoma, an aggressive malignant skin tumor.

Materials and Methods: Quantitative data from melanoma samples (n=592) were clinically evaluated using cBioPortal. Gene expression (GSE65904 and GSE22155) and gene methylation datasets (GSE120878) were retrieved from the Gene Expression Omnibus (GEO) database. Using the GeneMANIA database, the functions of given genes and pathways were evaluated. The STRING database achieved a protein-protein interaction (PPI) network was used to visualize it.

Results: Mutations in the WWC1 were found in 6.7% of all melanoma samples, 8% of skin cutaneous melanoma, and 2.8% of metastatic melanoma. When the GeneMANIA platform was used to analyze gene interactions, it was determined that the WWC1 gene shared common protein domains with three genes, was co-expressed with five genes, and interacted with 17 other genes. According to the function analysis results, the most effective of the ten functions of WWC1 was Hippo signaling, with a coverage value of 0.16 (p=0.009). In addition, it then played a role in Notch signaling and organ growth. When the protein-protein interactions were examined, it was determined that it interacted with ten proteins and was co-expressed with nine.

Conclusion: The findings demonstrated the potential of WWC1 to be effective in the progression of melanoma. Further research is needed to provide a more accurate analysis of WWC1 expression and methylation.

Keywords: Melanoma, WWC1, KIBRA, Bioinformatic mining, GEO

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APA

Kamer Çolak, D., Ünal, U., & Bolkent, S. (2022). In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses. European Journal of Biology, 81(2), 257-266. https://doi.org/10.26650/EurJBiol.2022.1168881

AMA

Kamer Çolak D, Ünal U, Bolkent S. In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses. European Journal of Biology. 2022;81(2):257-266. https://doi.org/10.26650/EurJBiol.2022.1168881

ABNT

Kamer Çolak, D.; Ünal, U.; Bolkent, S. In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses. European Journal of Biology, [Publisher Location], v. 81, n. 2, p. 257-266, 2022.

Chicago: Author-Date Style

Kamer Çolak, Dilara, and Ufuk Ünal and Sema Bolkent. 2022. “In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses.” European Journal of Biology 81, no. 2: 257-266. https://doi.org/10.26650/EurJBiol.2022.1168881

Chicago: Humanities Style

Kamer Çolak, Dilara, and Ufuk Ünal and Sema Bolkent. “In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses.” European Journal of Biology 81, no. 2 (Nov. 2024): 257-266. https://doi.org/10.26650/EurJBiol.2022.1168881

Harvard: Australian Style

Kamer Çolak, D & Ünal, U & Bolkent, S 2022, 'In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses', European Journal of Biology, vol. 81, no. 2, pp. 257-266, viewed 25 Nov. 2024, https://doi.org/10.26650/EurJBiol.2022.1168881

Harvard: Author-Date Style

Kamer Çolak, D. and Ünal, U. and Bolkent, S. (2022) ‘In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses’, European Journal of Biology, 81(2), pp. 257-266. https://doi.org/10.26650/EurJBiol.2022.1168881 (25 Nov. 2024).

MLA

Kamer Çolak, Dilara, and Ufuk Ünal and Sema Bolkent. “In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses.” European Journal of Biology, vol. 81, no. 2, 2022, pp. 257-266. [Database Container], https://doi.org/10.26650/EurJBiol.2022.1168881

Vancouver

Kamer Çolak D, Ünal U, Bolkent S. In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses. European Journal of Biology [Internet]. 25 Nov. 2024 [cited 25 Nov. 2024];81(2):257-266. Available from: https://doi.org/10.26650/EurJBiol.2022.1168881 doi: 10.26650/EurJBiol.2022.1168881

ISNAD

Kamer Çolak, Dilara - Ünal, Ufuk - Bolkent, Sema. “In silico Evaluation of WWC1 in Melanoma Using Bioinformatic Analyses”. European Journal of Biology 81/2 (Nov. 2024): 257-266. https://doi.org/10.26650/EurJBiol.2022.1168881

Volume 81, Issue 22022, P. 257-266

TIMELINE

Submitted	31.08.2022
Accepted	25.11.2022
Published Online	29.12.2022

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