Gurudeeban Selvaraj

Prof. Dr. Gurudeeban Selvaraj

Centre for Research in Molecular Modeling (CERMM), Concordia University, Montréal, Quebec, Canada
orcid

Research Focus & Metrics

Academic Career Length

17Years (2010-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
26 September 2011 in Journal of Nanobiotechnology
Verified
Journal Article
Open access
PDF file
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
RTRamanathan Thirugnanasambandam
Ramanathan Thirugnanasambandam
BTBalasubramanian T
Balasubramanian T
Background: An increasingly common application is the use of silver nanoparticles for antimicrobial coatings, wound dressings, and biomedical devices. In this present investigation, we report, biomedical potential of silver nanopaticles synthesized from calli extract of Citrullus colocynthis on Human epidermoid larynx carcinoma (HEp -2) cell line. Methods: The callus extract react with silver nitrate solution confirmed silver nanoparticles synthesis through the steady change of greenish colour to reddish brown and characterized by using FT-IR, AFM. Toxicity on HEp 2 cell line assessed using MTT assay, caspase -3 assay, Lactate dehydrogenase leakage assay and DNA fragmentation assay. Results: The synthesized silver nanoparticles were generally found to be spherical in shape with size 31 nm by AFM. The molar concentration of the silver nanoparticles solution in our present study is 1100 nM/10 mL. The results exhibit that silver nanoparticles mediate a dose-dependent toxicity for the cell tested, and the silver nanoparticles at 500 nM decreased the viability of HEp 2 cells to 50% of the initial level. LDH activities found to be significantly elevated after 48 h of exposure in the medium containing silver nanoparticles when compared to the control and Caspase 3 activation suggested that silver nanoparticles caused cell death through apoptosis, which was further supported by cellular DNA fragmentation, showed that the silver nanoparticles treated HEp2 cells exhibited extensive double strand breaks, thereby yielding a ladder appearance (Lane 2), while the DNA of control HEp2 cells supplemented with 10% serum exhibited minimum breakage (Lane 1). This study revealed completely would eliminate the use of expensive drug for cancer treatment.

31 July 2020 in Frontiers in Pharmacology
Verified
Journal Article
Open access
ANAsma Sindhoo Nangraj
Asma Sindhoo Nangraj
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
AKAman Chandra Kaushik
Aman Chandra Kaushik
William C. ChoWilliam C. Cho
William C. Cho
DWDong-Qing Wei
Dong-Qing Wei
Esophageal adenocarcinoma (EAC) is one of the highest death-causing cancer types, especially in economically advanced countries, while Barrett’s esophagus (BE) is reported to be a precursor that immensely increases the risk of EAC. Due to the complexity of these diseases, their molecular mechanisms are not revealed clearly. This study aims to explore the shared gene signatures between BE and EAC based on integrated network analysis. We obtained EAC- and BE-associated microarray datasets GSE26886, GSE1420, GSE37200, and GSE37203 using systematic meta-analysis from Gene expression omnibus (GEO) and Array express. These data are accompanied by clinical data and RNAseq data from TCGA. Weighted gene co-expression network analysis (WGCNA) and differentially expressed gene (DEG) analysis were conducted to explore the relationship between gene sets and clinical traits, and to discover the key relationships hidden under the co-expression modules. Differentially expressed genes-based protein–protein interaction (PIP) complex was used to deeply extract hub genes through Cytoscape plugins. The results demonstrated that 403 DEGs were excavated, including 236 upregulated and 167 downregulated genes, which are enriched in the cell cycle and replication pathways. There are 40 key genes identified using modules of MCODE, CytoHubba, and CytoNCA with different algorithms. A dark gray module with 207 genes was identified through high correlation with phenotype (gender) from the weighted gene co-expression network analysis (WGCNA). Finally, five shared hub gene signatures (SHGS), namely, pre-mRNA processing factor 4 (PRPF4), serine and arginine-rich splicing factor 1 (SRSF1), heterogeneous nuclear ribonucleoprotein M (HNRNPM), DExH-Box Helicase 9 (DHX9), and origin recognition complex subunit 2 (ORC2) were identified between BE and EAC. SHGS enrichment denotes that RNA metabolism and splicosomes play a key role in esophageal cancer development and progress. We conclude that the PPI network complex and WGCNA co-expression network highlight the importance of phenotypic variants on BE and EAC biomarkers for prognosis and treatment.

1 October 2018 in Journal of Biomedical Informatics
Verified
Journal Article
Closed access
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
AKAman Chandra Kaushik
Aman Chandra Kaushik
AKAbbas Khan
Abbas Khan
YWYong-Kai Wei
Yong-Kai Wei
DWDong-Qing Wei
Dong-Qing Wei

15 September 2010 in Asian Journal of Plant Sciences
Verified
Journal Article
Closed access
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
RTRamanathan Thirugnanasambandam
Ramanathan Thirugnanasambandam

14 October 2019 in Journal of Biomolecular Structure and Dynamics
Verified
Journal Article
Closed access
SCSathishkumar Chinnasamy
Sathishkumar Chinnasamy
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
AKAman Chandra Kaushik
Aman Chandra Kaushik
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
Chandrabose SelvarajChandrabose Selvaraj
Chandrabose Selvaraj
DWDong-Qing Wei
Dong-Qing Wei
Aurora kinase (AURK) is a normal cell proliferation-inducing enzyme encoded by AURK gene in humans. It belongs to the family of serine/threonine kinase. Based on its function, AURK is divided into ...

1 October 2019 in Process Biochemistry
Verified
Journal Article
Closed access
Satyavani KaliamurthiSatyavani Kaliamurthi
Satyavani Kaliamurthi
Gurudeeban SelvarajGurudeeban Selvaraj
Gurudeeban Selvaraj
ZCZeynep Elibol Cakmak
Zeynep Elibol Cakmak
AKAyse Demir Korkmaz
Ayse Demir Korkmaz
TCTurgay Cakmak
Turgay Cakmak