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Bioinformatic prediction of signaling pathways for apurinic/apyrimidinic endodeoxyribonuclease 1 (Apex1) and its role in cholangiocarcinoma cells
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Metadata
Document Title
Bioinformatic prediction of signaling pathways for apurinic/apyrimidinic endodeoxyribonuclease 1 (Apex1) and its role in cholangiocarcinoma cells
Author
Tummanatsakun D., Proungvitaya T., Roytrakul S., Proungvitaya S.
Name from Authors Collection
Affiliations
Centre of Research and Development of Medical Diagnostic Laboratories (CMDL), Faculty of Associated Medical Sciences, KhonKaen University, KhonKaen, 40002, Thailand; National Center for Genetic Engineering and Biotechnology (BIOTEC), Functional Ingredients and Food Innovation Research Group, National Science and Technology Development Agency (NSTDA), Pathumthani, 12120, Thailand; Cholangiocarcinoma Research Institute (CARI), Faculty of Medicine, KhonKaen University, KhonKaen, 40002, Thailand
Type
Article
Source Title
Molecules
ISSN
14203049
Year
2021
Volume
26
Issue
9
Open Access
All Open Access, Gold, Green
Publisher
MDPI AG
DOI
10.3390/molecules26092587
Format
Abstract
Apurinic/apyrimidinic endodeoxyribonuclease 1 (APEX1) is involved in the DNA damage repair pathways and associates with the metastasis of several human cancers. However, the signaling pathway of APEX1 in cholangiocarcinoma (CCA) has never been reported. In this study, to predict the signaling pathways of APEX1 and related proteins and their functions, the effects of APEX1 gene silencing on APEX1 and related protein expression in CCA cell lines were investigated using mass spectrometry and bioinformatics tools. Bioinformatic analyses predicted that APEX1 might interact with cell division cycle 42 (CDC42) and son of sevenless homolog 1 (SOS1), which are involved in tumor metastasis. RNA and protein expression levels of APEX1 and its related proteins, retrieved from the Gene Expression Profiling Interactive Analysis (GEPIA) and the Human Protein Atlas databases, revealed that their expressions were higher in CCA than in the normal group. Moreover, higher levels of APEX1 expression and its related proteins were correlated with shorter survival time. In conclusion, the signaling pathway of APEX1 in metastasis might be mediated via CDC42 and SOS1. Furthermore, expression of APEX1 and related proteins is able to predict poor survival of CCA patients. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Keyword
APEX1 | Bioinformatics | CCA | Mass spectrometry | Signaling pathway
Industrial Classification
Knowledge Taxonomy Level 1
Knowledge Taxonomy Level 2
Knowledge Taxonomy Level 3
Funding Sponsor
Khon Kaen University
License
N/A
Rights
N/A
Publication Source
Scopus