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Alzahrani FA, Ahmed F, Sharma M, Rehan M, Mahfuz M, Baeshen MN, Hawsawi Y, Almatrafi A, Alsagaby SA, Kamal MA, Warsi MK, Choudhry H, Jamal MS. Investigating the pathogenic SNPs in BLM helicase and their biological consequences by computational approach. Sci Rep 2020; 10:12377. [PMID: 32704157 PMCID: PMC7378827 DOI: 10.1038/s41598-020-69033-8] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2018] [Accepted: 07/06/2020] [Indexed: 12/15/2022] Open
Abstract
The BLM helicase protein plays a vital role in DNA replication and the maintenance of genomic integrity. Variation in the BLM helicase gene resulted in defects in the DNA repair mechanism and was reported to be associated with Bloom syndrome (BS) and cancer. Despite extensive investigation of helicase proteins in humans, no attempt has previously been made to comprehensively analyse the single nucleotide polymorphism (SNPs) of the BLM gene. In this study, a comprehensive analysis of SNPs on the BLM gene was performed to identify, characterize and validate the pathogenic SNPs using computational approaches. We obtained SNP data from the dbSNP database version 150 and mapped these data to the genomic coordinates of the "NM_000057.3" transcript expressing BLM helicase (P54132). There were 607 SNPs mapped to missense, 29 SNPs mapped to nonsense, and 19 SNPs mapped to 3'-UTR regions. Initially, we used many consensus tools of SIFT, PROVEAN, Condel, and PolyPhen-2, which together increased the accuracy of prediction and identified 18 highly pathogenic non-synonymous SNPs (nsSNPs) out of 607 SNPs. Subsequently, these 18 high-confidence pathogenic nsSNPs were analysed for BLM protein stability, structure-function relationships and disease associations using various bioinformatics tools. These 18 mutants of the BLM protein along with the native protein were further investigated using molecular dynamics simulations to examine the structural consequences of the mutations, which might reveal their malfunction and contribution to disease. In addition, 28 SNPs were predicted as "stop gained" nonsense SNPs and one SNP was predicted as "start lost". Two SNPs in the 3'UTR were found to abolish miRNA binding and thus may enhance the expression of BLM. Interestingly, we found that BLM mRNA overexpression is associated with different types of cancers. Further investigation showed that the dysregulation of BLM is associated with poor overall survival (OS) for lung and gastric cancer patients and hence led to the conclusion that BLM has the potential to be used as an important prognostic marker for the detection of lung and gastric cancer.
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Affiliation(s)
- Faisal A Alzahrani
- Department of Biochemistry, Faculty of Science, Stem Cells Unit, King Fahd Medical Research Center, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
- Aston Medical Research Institute, Aston Medical School, Aston University, Birmingham, B4 7ET, UK
| | - Firoz Ahmed
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia.
- University of Jeddah Centre for Scientific and Medical Research (UJ-CSMR), University of Jeddah, Jeddah, 21589, Saudi Arabia.
| | - Monika Sharma
- Department of Chemical Sciences, Indian Institute of Science Education and Research (IISER), Mohali, India
| | - Mohd Rehan
- King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Maryam Mahfuz
- Department of Computer Science, Jamia Millia Islamia, New Delhi, Delhi, India
| | - Mohammed N Baeshen
- Department of Biology, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia
| | - Yousef Hawsawi
- Department of Genetics, Research Center, King Faisal Specialist Hospital, and Research Center, MBC-03, PO Box 3354, Riyadh, 11211, Saudi Arabia
| | - Ahmed Almatrafi
- Department of Biology, Faculty of Science, University of Taibah, Medinah, Saudi Arabia
| | - Suliman Abdallah Alsagaby
- Department of Medical Laboratories, Central Biosciences Research Laboratories, College of Science in Al Zulfi, Majmaah University, Al Majma'ah, Saudi Arabia
| | - Mohammad Azhar Kamal
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia
- University of Jeddah Centre for Scientific and Medical Research (UJ-CSMR), University of Jeddah, Jeddah, 21589, Saudi Arabia
| | - Mohiuddin Khan Warsi
- Department of Biochemistry, College of Science, University of Jeddah, Jeddah, 21589, Saudi Arabia
- University of Jeddah Centre for Scientific and Medical Research (UJ-CSMR), University of Jeddah, Jeddah, 21589, Saudi Arabia
| | - Hani Choudhry
- Department of Biochemistry, Cancer Metabolism and Epigenetic Unit, Faculty of Science, Cancer and Mutagenesis Unit, King Fahd Center for Medical Research, King Abdulaziz University, Jeddah, Saudi Arabia
| | - Mohammad Sarwar Jamal
- King Fahd Medical Research Center, King Abdulaziz University, Jeddah, Saudi Arabia.
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia.
- Integrative Biosciences Center, Wayne State University, Detroit, MI, 48202, USA.
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Jailkhani N, Ravichandran S, Hegde SR, Siddiqui Z, Mande SC, Rao KVS. Delineation of key regulatory elements identifies points of vulnerability in the mitogen-activated signaling network. Genome Res 2011; 21:2067-81. [PMID: 21865350 DOI: 10.1101/gr.116145.110] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Drug development efforts against cancer are often hampered by the complex properties of signaling networks. Here we combined the results of an RNAi screen targeting the cellular signaling machinery, with graph theoretical analysis to extract the core modules that process both mitogenic and oncogenic signals to drive cell cycle progression. These modules encapsulated mechanisms for coordinating seamless transition of cells through the individual cell cycle stages and, importantly, were functionally conserved across different cancer cell types. Further analysis also enabled extraction of the core signaling axes that progressively guide commitment of cells to the division cycle. Importantly, pharmacological targeting of the least redundant nodes in these axes yielded a synergistic disruption of the cell cycle in a tissue-type-independent manner. Thus, the core elements that regulate temporally distinct stages of the cell cycle provide attractive targets for the development of multi-module-based chemotherapeutic strategies.
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Affiliation(s)
- Noor Jailkhani
- International Centre for Genetic Engineering and Biotechnology, Aruna Asaf Ali Marg, New Delhi 110067, India
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