Biology subjects

Moin, A. T.

Publications and source records attributed to Moin, A. T..

5 recordsLinked to original sources

bioRxiv2023

Unravelling the Oncogenic Potential and Prognostic Significance of CKS1B in Human Lung Adenocarcinoma and Squamous Cell Carcinoma: A Comprehensive Computational Analysis

Lung cancer (LC) confers to radical malignancy with a limited recourse of therapy worldwide. Consequently, LC has become the leading cause of cancer deaths in both men and women globally. Non-small cell lung cancer (NSCLC), one of the major LC types and accountable for a greater share of these cancer-associated deaths, further branches out to adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC). A dearth of evident clinical symptoms coupled with the diagnosis feasibility only after advanced metastasis raises the need for precision in treatment apart from the existing chemical drug treatments. Precise guidance can be entailed by targeted therapies, utilizing the potential and thoroughly evaluated differentially expressed genes of cancer under speculation for tumor treatments. Cyclin-dependent kinase regulatory subunit 1B (CKS1B), a member of the conserved cyclin kinase subunit 1 (CKS1) protein family, regulates the cell cycle. Increasing evidence revealed that up-regulation of the CKS1B gene is associated with multiple human-related cancers, indicates its potential use as a targeted therapeutic for early detection and treatment. CKS1B has been found to be associated with poor prognosis in both LUAD and LUSC, while the prognostic significance of CKS1B in other types of cancer is not well established. Herein, we have performed a comprehensive bioinformatics analysis of factors involved in LUAD and LUSC with CKS1B and discussed its role as a potential biomarker for early lung cancer detection and treatment. While these evaluations demonstrate the immunotherapeutic features and prognostic value of CKS1B, further in vivo and in vitro studies are required to determine the accuracy of final applications.

cancer biology↗

bioRxiv2022

A Multi-omics Study on the Oncogenic Roles and Clinical Significance of Dynactin Family Gene (DCTN1-6) Expression in Liver Hepatocellular Carcinoma

In this study, we employed a comprehensive database mining approach to examine the possible oncogenic roles and clinical relevance of Dynactin family genes (DCTN1-6) in Liver Hepatocellular Carcinoma (LIHC). All the DCTNs were observed to be differentially expressed in LIHC tissues compared to the adjacent normal liver tissues. Most of the DCTNs were discovered to be aberrantly methylated (less methylated) and contain multiple somatic mutations (alteration frequency: 0.2-2.5%) in LIHC tissues. Overexpression of DCTNs was mostly associated with poor overall and relapse-free survival of LIHC patients. Alongside, all the DCTN genes were reported to be overexpressed across different demographic and clinical conditions, i.e., age, cancer stage, tumor grades, and metastatic stages of LIHC patients. DCTN expression was also associated with the infiltration levels of different immune cells, i.e., B cell, T cell, and macrophages in LIHC microenvironment. The co-expressed genes of DCTNs in the LIHC tissues were previously found to be involved in oncogenic processes in different cancer types and control crucial biological processes, i.e., nucleotide metabolism, RNA degradation, and chromosome organization. Later, the expression pattern of DCTNs was validated in two independent microarray datasets (i.e., GSE17856, GSE98383), which also supported our initial findings. All these findings suggest that DCTNs and their transcriptional and translational products are potential prognostic and therapeutic targets for LIHC diagnosis and treatment. This study will help further the development of DCTN-based diagnostic and therapeutic measures for LIHC and translate them into clinical implications.

genomics↗

bioRxiv2022

Identifying Proteasome 26S Subunit, ATPase (PSMC) Family Genes as the Prognostic Indicators and Therapeutic Targets in Lung Adenocarcinoma

This study explored the prognostic and therapeutic potentials of multiple Proteasome 26S Subunit, ATPase (PSMC) family of genes (PSMC1-5) in lung adenocarcinoma (LUAD) diagnosis and treatment. All the PSMCs were found to be differentially expressed (upregulated) at the mRNA and protein levels in LUAD tissues. The promoter and multiple coding regions of PSMCs were reported to be differentially and distinctly methylated, which may serve in the methylation-sensitive diagnosis of LUAD patients. Multiple somatic mutations (alteration frequency: 0.6-2%) were observed along the PSMCs coding regions in LUAD tissues that could assist in the high-throughput screening of LUAD patients. A significant association between PSMCs overexpression and LUAD patients poor overall and relapse-free survival (p<0.05, HR:>1.3) and individual cancer stages (p<0.001) was discovered, which justifies PSMCs as the ideal targets for LUAD diagnosis. Multiple immune cells and modulators (i.e., CD274, IDO1) were found to be associated with PSMCs expression in LUAD tissues that could aid in formulating PSMC-based diagnostic measures and therapeutic interventions for LUAD. Functional enrichment analysis of neighbor genes of PSMCs in LUAD tissues revealed different genes (i.e., SLIRP, PSMA2, NUDSF3) previously known to be involved in oncogenic processes and metastasis co-expressed with PSMCs, which could also be investigated further. Overall, this study recommends that PSMCs and their transcriptional and translational products are potential candidates for LUAD diagnostic and therapeutic measure discovery. However, further laboratory research is needed to validate the findings of this experiment.

cancer biology↗

bioRxiv2022

Expression Analysis, Molecular Characterization and Prognostic Evaluation on TMED4 and TMED9 Gene Expression in Glioma

Here, we utilized a database mining approach to unfold the prognostic and therapeutic potentials of Transmembrane EmP24 Trafficking Protein 4 (TMED4) and 9 (TMED) coding gene expressions in glioma. Both the genes were found to be overexpressed at the mRNA and protein level in low grade glioma (LGG) and glioblastoma multiforme (GBM) tissues including different glioma cell lines. Significant increase in the expression level of these genes with advancing glioma patients age, glioma grades and histological subtypes was observed. Differential and distinct promoter and coding sequence methylation pattern of TMED4 and TMED9 was observed in LGG and GBM tissues that may aid in methylation-sensitive diagnosis of glioma patients. The presence of multiple heterozygous genetic alterations (frequency: 0.4-1.1%) in those genes unveiled their potentials in high-throughput screening of glioma patients. The overexpression of TMED4 and TMED9 genes was associated with poor overall survival (OS) of LGG and GBM patients (HR:>1.6). Association of the expression levels of these genes with different immune cell infiltration levels i.e., B cell and T cell and modulators like CD274 and IL10RB was observed providing assurance in TMED-based diagnostic measure and therapeutic intervention discovery. Furthermore, functional enrichment analysis of the neighbor genes of TMED4 and TMED9 revealed that they are involved in metal ion binding, focal adhesion of cells and protein processing, and the deregulation of these activities are associated with gliomagenesis. Altogether, this study suggests that TMED4 and TMED9 are potential prognostic and therapeutic targets for glioma. However, further laboratory research is warranted.

cancer biology↗

bioRxiv2022

Exploring different virulent proteins of human respiratory syncytial virus for designing a novel epitope-based polyvalent vaccine: Immunoinformatics and molecular dynamics approaches

Human Respiratory Syncytial Virus (RSV) is one of the most prominent causes of lower respiratory tract infections (LRTI), contributory to infecting people from all age groups - a majority of which comprises infants and children. The implicated severe RSV infections lead to numerous deaths of multitudes of the overall population, predominantly the children, every year. Consequently, despite several distinctive efforts to develop a vaccine against the RSV as a potential countermeasure, there is no approved or licensed vaccine available yet, to control the RSV infection effectively. Therefore, through the utilization of immunoinformatics tools, a computational approach was taken in this study, to design and construct a multi-epitope polyvalent vaccine against the RSV-A and RSV-B strains of the virus. Potential predictions of the T-cell and B-cell epitopes were followed by extensive tests of antigenicity, allergenicity, toxicity, conservancy, homology to human proteome, transmembrane topology, and cytokine-inducing ability. The most promising epitopes (i.e. 13 CTL epitopes, 9 HTL epitopes, and 10 LBL epitopes) exhibiting full conservancy were then selected for designing the peptide fusion with appropriate linkers, having hBD-3 as the adjuvant. The peptide vaccine was modeled, refined, and validated to further improve the structural attributes. Following this, molecular docking analysis with specific TLRs was carried out which revealed excellent interactions and global binding energies. Additionally, molecular dynamics (MD) simulation was conducted which ensured the stability of the interactions between vaccine and TLR. Furthermore, mechanistic approaches to imitate and predict the potential immune response generated by the administration of vaccines were determined through immune simulations. Owing to an overall evaluation, in silico cloning was carried out in efforts to generate recombinant pETite plasmid vectors for subsequent mass production of the vaccine peptide, incorporated within E.coli. However, more in vitro and in vivo experiments can further validate its efficacy against RSV infections.

immunology↗