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CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach
by
Malik, Zubbair
, Sharma, Shubham
, Ray, Ashwini Kumar
, Bhattacharyya, Malini
, Soni, Aman
, Mukherjee, Atreyee
, Bhattacharyya, Nirjhar
, Gupta, Samriddhi
in
Bioinformatics
/ DNA microarrays
/ Gene regulation
/ Genes
/ Invasiveness
/ Lung cancer
/ Non-small cell lung carcinoma
/ Protein interaction
/ Small cell lung carcinoma
/ Systems Biology
2021
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CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach
by
Malik, Zubbair
, Sharma, Shubham
, Ray, Ashwini Kumar
, Bhattacharyya, Malini
, Soni, Aman
, Mukherjee, Atreyee
, Bhattacharyya, Nirjhar
, Gupta, Samriddhi
in
Bioinformatics
/ DNA microarrays
/ Gene regulation
/ Genes
/ Invasiveness
/ Lung cancer
/ Non-small cell lung carcinoma
/ Protein interaction
/ Small cell lung carcinoma
/ Systems Biology
2021
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CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach
by
Malik, Zubbair
, Sharma, Shubham
, Ray, Ashwini Kumar
, Bhattacharyya, Malini
, Soni, Aman
, Mukherjee, Atreyee
, Bhattacharyya, Nirjhar
, Gupta, Samriddhi
in
Bioinformatics
/ DNA microarrays
/ Gene regulation
/ Genes
/ Invasiveness
/ Lung cancer
/ Non-small cell lung carcinoma
/ Protein interaction
/ Small cell lung carcinoma
/ Systems Biology
2021
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CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach
Paper
CDK1 and HSP90AA1 appears as novel regulatory gene in Non-Small Cell Lung Cancer: A Bioinformatics Approach
2021
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Overview
Lung cancer is one of the most invasive cancer affecting over a million of population. Non-small cell lung cancer constitutes up to 85% of all lung cancer cases. Therefore, it is important to identify prognostic biomarkers of NSCLC for therapeutic purpose. The complex behaviour of the NSCLC gene-regulatory network interaction is investigated using a network theoretical approach. We used eight NSCLC microarray datasets GSE19188, GSE118370, GSE10072, GSE101929, GSE7670, GSE33532, GSE31547, GSE31210 and meta analyse them to find differentially expressed genes (DEGs), construct protein-protein interaction (PPI) network, analysed its topological properties, significant modules using network analyser with MCODE, construct a PPI-MCODE network using the genes of the significant modules. We used topological properties such as Maximal Clique Centrality (MCC) and bottleneck from the PPI-MCODE network. We compare them with hub genes (those with highest degrees) to find key regulator (KR) gene. This result is also validated by finding of common genes among top twenty hub genes, genes with highest betweenness, closeness centrality and eigenvector values. It was found that two genes, CDK1 and HSP90AA1 were common in PPI-MCODE combined analysis, and it was also found that CDK1, HSP90AA1 and HSPA8 were common among hub and bottle neck properties and suggesting significant regulatory role of CDK1 in non-small cell lung cancer. After validation, the common genes among top twenty hubs and centrality values like Betweenness Centrality, Closeness Centrality and eigen vector properties, CDK1 again appeared as the common gene. Our study as a summary suggested CDK1 as key regulator gene in complex NSCLC network interaction using network theoretical approach and described the complex topological properties of the network. Competing Interest Statement The authors have declared no competing interest.
Publisher
Cold Spring Harbor Laboratory Press,Cold Spring Harbor Laboratory
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