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Alam, M. R.

Publications and source records attributed to Alam, M. R..

3 recordsLinked to original sources

Differential Proteomic Analysis of DEN-Induced Hepatocellular Carcinoma in Male and Female Balb/c Mice Reveals Novel Gender Specific Markers

BackgroundHepatocellular carcinoma (HCC) is one of the leading causes of hepatic malignancy with a higher prevalence in males compared to females, however, the distinct underlying mechanisms contributing to this disparity remain poorly understood. MethodsIn this study, we aimed to investigate comparative proteome profiling of a diethylnitrosamine (DEN) induced HCC model in male and female Balb/c mice. We extracted proteins from liver tissue of DEN treated male and female mice and their corresponding controls and subjected them to mass spectrometry and subsequent bioinformatics analyses. ResultsWe identified 170 and 233 differentially expressed proteins (DEPs) in female and male mice, respectively. We identified chemical carcinogenesis and cortical cytoskeleton as the shared pathways between the two groups. In addition, we identified distinct signaling pathways in DEN-treated male and female mice. Female mice showed enrichment in oxidative phosphorylation, fatty acid biosynthesis, metabolism and degradation and cytochrome P450 clusters. In contrast, in male mice, these pathways were enriched in cholesterol metabolism, coagulation and mRNA processing. Further, we identified top ten genes ranked by highest maximal clique centrality, by protein-protein interaction analysis of differentially expressed proteins (DEPs) in both sexes. Of these hub genes, female mice showed upregulation of NDUFA8 and ATP5H and were associated with poor patient survival. On the other hand, In DEN-treated male mice upregulation of FGG, FGA, HPX and SERPINC1 were associated with poor survival. ConclusionIn conclusion, our research provides gender-specific proteomic signatures in DEN-induced HCC. The identification of proteins associated cholesterol metabolism and coagulation in males, and mitochondrial complex I proteins in females as prognostic markers suggests novel therapeutic targets that may inform gender-tailored treatment strategies for HCC. Simple SummaryHepatocellular carcinoma (HCC) is a common and deadly liver cancer that affects men more than women. To understand the biological reasons behind this difference, we developed a liver cancer model in male and female mice using a chemical called diethylnitrosamine (DEN). We then studied the proteins involved in tumor development using advanced techniques like mass spectrometry and bioinformatics. We found that different sets of proteins and biological pathways were active in males and females. In males, ribosomal and RNA-binding proteins were linked to worse survival, while in females, mitochondrial proteins were more important. These findings suggest that men and women may need different strategies for diagnosing and treating HCC, and they offer new gender-specific targets for future therapies.

cancer biology↗

A Computational Approach for Structural and Functional Analyses of Disease-associated Mutations in the Human CYLD Gene

Tumor suppressor Cylindromatosis protein (CYLD) regulates NF- {kappa}B and JNK signaling pathway by cleaving K63 linked poly-ubiquitin chain from its substrate molecules and thus preventing the progression of tumorigenesis and metastasis of the cancer cells. Mutations in CYLD can cause aberrant structure and abnormal functionality leading to tumor formation. In this study, we utilized several computational tools such as PANTHER, PROVEAN, PREDICT- SNP, POLYPHEN 2, PHD SNP, PON P2, and SIFT to find out deleterious nsSNPs. We also highlighted the damaging impact of those deleterious nsSNPs on the structure and function of the CYLD utilizing Consurf, I-Mutant, SDM, Phyre2, HOPE, Swiss PDB Viewer, and Mutation 3D. We shortlisted 18 high-risk nsSNPs from a total of 446 nsSNPs recorded in the NCBI database. Based on the conservation profile, stability status, and structural impact analysis we finalized 13nsSNPs. Molecular docking analysis and molecular dynamic simulation concluded the study with the findings of two significant nsSNPs (R830K, H827R) which have a remarkable impact on binding affinity, RMSD, RMSF, Radius of gyration, and hydrogen bond formation during CYLD-ubiquitin interaction. The principal component analysis compared native and two mutants R830K, H827R of CYLD that signifies structural and energy profile fluctuations during molecular dynamic (MD) simulation. Finally, the Protein-protein interaction network showed CYLD interacts with 20 proteins involved in several biological pathways that mutations can impair. Considering all these in silico analyses, our study recommended conducting large-scale association studies of nsSNPs of CYLD with cancer as well as designing precise medications against diseases associated with these polymorphisms.

bioinformatics↗

Multi-epitope Based Peptide Vaccine Design Using Three Structural Proteins (S, E, and M) of SARS-CoV-2: An In Silico Approach

Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2) is the novel coronavirus responsible for the ongoing pandemic of coronavirus disease (COVID-19). No sustainable treatment option is available so far to tackle such a public health threat. Therefore, designing a suitable vaccine to overcome this hurdle asks for immediate attention. In this study, we targeted for a design of multi-epitope based vaccine using immunoinformatics tools. We considered the structural proteins S, E and, M of SARS-CoV-2, since they facilitate the infection of the virus into host cell and using different bioinformatics tools and servers, we predicted multiple B-cell and T-cell epitopes having potential for the required vaccine design. Phylogenetic analysis provided insight on ancestral molecular changes and molecular evolutionary relationship of S, E, and M proteins. Based on the antigenicity and surface accessibility of these proteins, eight epitopes were selected by various B cell and T cell epitope prediction tools. Molecular docking was executed to interpret the binding interactions of these epitopes and three potential epitopes WTAGAAAYY, YVYSRVKNL, and GTITVEELK were selected for their noticeable higher binding affinity scores -9.1, -7.4, and -7.0 kcal/mol, respectively. Targeted epitopes had 91.09% population coverage worldwide. In summary, we identified three epitopes having the most significant properties of designing the peptide-based vaccine against SARS-CoV-2.

bioinformatics↗