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Introducing Critical Genes in Response to Photodynamic Therapy: A Network Analysis.
Mansouri, Vahid; Arjmand, Babak; Hamzeloo-Moghadam, Maryam; Rezaei Tavirani, Mostafa; Razzaghi, Zahra; Ahmadzadeh, Alireza; Rostami Nejad, Mohammad; Mohamoud Robati, Reza.
Afiliação
  • Mansouri V; Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Arjmand B; Cell Therapy and Regenerative Medicine Research Center, Endocrinology and Metabolism Molecular-Cellular Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Hamzeloo-Moghadam M; Iranian Cancer Control Center (MACSA), Tehran, Iran.
  • Rezaei Tavirani M; Traditional Medicine and Materia Medica Research Center, School of Traditional Medicine Shahid, Beheshti University of Medical Sciences, Tehran, Iran 5 Laser Application in Medical Sciences Research C.
  • Razzaghi Z; Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Ahmadzadeh A; Laser Application in Medical Sciences Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Rostami Nejad M; Proteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohamoud Robati R; Celiac Disease and Gluten Related Disorders Research Center, Research Institute for Gastroenterology and Liver Disease, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
J Lasers Med Sci ; 14: e25, 2023.
Article em En | MEDLINE | ID: mdl-37744009
ABSTRACT

Introduction:

Photodynamic therapy (PDT) is applied as an efficient method for preventing the progress of cancers. Light and a photosensitive compound which is known as photosensitizer (PS) are the main parts of PDT. In the present study, molecular events after using PDT in the presence of a super lethal dose of a PS were assessed via protein-protein interaction (PPI) analysis.

Methods:

Data were extracted from Gene Expression Omnibus (GEO). The gene expression profiles of the treated human Sk-Cha1 cells via PDT were compared with the control cells. Expressed change analysis and PPI network analysis were administrated via Cytoscape software v 3.7.2 to find the critical differentially expressed genes (DEGs). Regulatory relationships between the central DEGs were evaluated and the highlighted genes were identified.

Results:

The significant amounts of gene expression values were grouped and a few DEGs characterized by tremendously expressed values were identified. EGFR, CANX, HSPA5, MYC, JUN, ITGB1, APP, and CDH1 were highlighted as hub-bottleneck DEGs. EGFR, CDH1, and JUN appeared as a set of SEGs, which play a crucial role in response to PDT in the treated Sk-Cha1 cells.

Conclusion:

In conclusion, regulatory relationships between EGFR, CDH1, and JUN, which have an effect on the regulation of cellular survival, differentiation, and proliferation, were highlighted in the present investigation.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article