Author/Authors :
Arjmand, Babak Cell Therapy and Regenerative Medicine Research Center - Endocrinology and Metabolism Molecular-Cellular Sciences Institute - Tehran University of Medical Sciences, Tehran, Iran , Vafaee, Reza Proteomics Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Razzaghi, Mohhamadreza Laser Application in Medical Sciences Research Center - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei-Tavirani, Mostafa Faculty of Paramedical Sciences - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Ahmadzadeh, Alireza Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Rezaei-Tavirani, Sina Gastroenterology and Liver Diseases Research Center - Research Institute for Gastroenterology and Liver Diseases - Shahid Beheshti University of Medical Sciences, Tehran, Iran , Hamdieh, Mostafa Department of Psychosomatic - Taleghani Hospital - Faculty of Medicine - Shahid Beheshti University of Medical Sciences, Tehran, Iran
Abstract :
Background: Low level laser therapy (LLLT) is accompanied with protein expression change in body. There are many efforts to find the clear relationship between the differentially expressed proteins.
Aim: Finding the central differentiated expressed proteins of plasma after LLLT is the aim of this study.
Methods: Numbers of 6 proteins are extracted from a proteomics study and the network including these query proteins plus 100 first neighbors was constructed. The central proteins were determined based on degree value, betweenness centrality, closeness centrality, and stress.
Results: Among 106 nodes of the network, 10 proteins were characterized with the most values of degree, betweenness centrality, closeness centrality, and stress. These proteins were determined as central proteins in response to LLLT in plasma.
Conclusion: three query proteins; AHSG, FGG, and SERPINA1 plus seven first neighbors; FGA, ALB, KNG1, FN1, APP, TIMP1, and F5 were identified as central proteins which were dysregulated
Keywords :
Low level laser therapy , Bioinformatics , Plasma , Central protein , Network analysis , Bioinformatics
