Amouda Venkatesan

Dr. Amouda Venkatesan

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Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

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

Representative Publications

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29 November 2018 in Journal of Cellular Physiology
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Journal Article
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LNLeimarembi Devi Naorem
Leimarembi Devi Naorem
MMMathavan Muthaiyan
Mathavan Muthaiyan
AVAmouda Venkatesan
Amouda Venkatesan

9 October 2018 in Journal of Cellular Biochemistry
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Journal Article
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LNLeimarembi Devi Naorem
Leimarembi Devi Naorem
MMMathavan Muthaiyan
Mathavan Muthaiyan
AVAmouda Venkatesan
Amouda Venkatesan

1 February 2020 in International Journal of Biological Macromolecules
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Journal Article
Closed access
LNLeimarembi Devi Naorem
Leimarembi Devi Naorem
VPVigneshwar Suriya Prakash
Vigneshwar Suriya Prakash
MMMathavan Muthaiyan
Mathavan Muthaiyan
AVAmouda Venkatesan
Amouda Venkatesan

1 January 2018 in Virology
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Journal Article
Closed access
SGSanathoi Gurumayum
Sanathoi Gurumayum
RBRahul Brahma
Rahul Brahma
LNLeimarembi Devi Naorem
Leimarembi Devi Naorem
MMMathavan Muthaiyan
Mathavan Muthaiyan
JGJeyakodi Gopal
Jeyakodi Gopal
AVAmouda Venkatesan
Amouda Venkatesan

1 March 2019 in Genes & Diseases
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Journal Article
Open access
PGPranavathiyani Gnanasekar
Pranavathiyani Gnanasekar
RTRaja Rajeswary Thanmalagan
Raja Rajeswary Thanmalagan
NDNaorem Leimarembi Devi
Naorem Leimarembi Devi
AVAmouda Venkatesan
Amouda Venkatesan
Breast cancer is the leading cause for mortality among women worldwide. Dysregulation of oncogenes and tumor suppressor genes is the major reason for the cause of cancer. Understanding these genes will provide clues and insights about their regulatory mechanism and their interplay in cancer. In the present study, an attempt is made to compare the functional characteristics and interactions of oncogenes and tumor suppressor genes to understand their biological role. 431 breast cancer samples from seven publicly available microarray datasets were collected and analysed using GEO2R tool. The identified 416 differentially expressed genes were classified into five gene sets as oncogenes (OG), tumor suppressor genes (TSG), druggable genes, essential genes and other genes. The gene sets were subjected to various analysis such as enrichment analysis (viz., GO, Pathways, Diseases and Drugs), network analysis, calculation of mutation frequencies and Guanine-Cytosine (GC) content. From the results, it was observed that the OG were having high GC content as well as high interactions than TSG. Moreover, the OG are found to have frequent mutations than TSG. The enrichment analysis results suggest that the oncogenes are involved in positive regulation of cellular protein metabolic process, macromolecule biosynthetic process and majorly in cell cycle and focal adhesion pathway in cancer. It was also found that these oncogenes are involved in other diseases such as skin diseases and viral infections. Collagenase, paclitaxel and docetaxel are some of the drugs found to be enriched for oncogenes.

1 January 2013 in Healthcare Informatics Research
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Journal Article
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AVAmouda Venkatesan
Amouda Venkatesan
JGJeyakodi Gopal
Jeyakodi Gopal
MCManimozhi Candavelou
Manimozhi Candavelou
SGSowjanya Gollapalli
Sowjanya Gollapalli
KKKayathri Karthikeyan
Kayathri Karthikeyan
Venkatesan A, et al. Healthc Inform Res. 2013 Jun;19(2):137-147. http://dx.doi.org/10.4258/hir.2013.19.2.137