Novel Pathogenic Mutation Mapping of ASPM Gene in Consanguineous Pakistani Families with Primary Microcephaly

Identification of potential biomarkers for pancreatic ductal adenocarcinoma: a bioinformatics analysis

PDA is an aggressive cancer with a 5-year survival rate, which is very low. There is no effective prognosis or therapy for PDA because of the lack of target biomarkers. The objective of this article is to identify the target biomarkers for PDA using a bioinformatics approach. In this work, we have analysed the three microarray datasets from the NCBI GEO database. We used the Geo2R tool to analyse the microarray data with the Benjamini and Hochberg false discovery rate method, and the significance level cut-off was set to 0.05. We have identified 659 DEGs from the datasets. There are a total of 15 hub genes that were selected from the PPI network constructed using the STRING application. Furthermore, these 15 genes were evaluated on PDA patients using TCGA and GTEx databases in (GEPIA). The online tool DAVID was used to analyse the functional annotation information for the DEGs. The functional pathway enrichment was performed on the GO and KEGG. The hub genes were mainly enriched for cell division, chromosome segregation, protein binding and microtubule binding. Further, the gene alteration study was performed using the cBioportal tool and screened out six hub genes (ASPM, CENPF, BIRC5, TTK, DLGAP5, and TOP2A) with a high alteration rate in PDA samples. Furthermore, Kaplan-Meier survival analysis was performed on the six hub genes and identified poor-survival outcomes that may be involved in tumorigenesis and PDA development. So, this study concludes that, these six hub genes may be potential prognostic biomarkers for PDA.

Investigating the effects of a single ASPM variant (c.8508_8509) on brain architecture among siblings in a consanguineous Pakistani family

BACKGROUND

Autosomal Recessive Primary Microcephaly (MCPH) is a rare, neurodevelopmental disorder associated with mild to severe mental retardation. It is characterized by reduced cerebral cortex that ultimately leads to reduction in skull size less than - 3 S.D below the mean for normal individuals having same age and sex. Till date, 30 known loci have been reported for MCPH.

METHODS

In the present study, Sanger sequencing was performed followed by linkage analysis to validate the mutation in ASPM gene of the consanguineous Pakistani clans. Bioinformatics tools were also used to confirm the pathogenicity of the diseased variant in the gene. MRI scan was used to compare the brain structure of both the affected individuals (Aslam et al. in Kinnaird's 2nd International Conference on Science, Technology and Innovation, Lahore, 2023).

RESULTS

Our study described a consanguineous family with two patients with a known ASPM (MCPH5) variant c.8508_8509delGA causing a frameshift mutation in exon 18 which located in calmodulin-binding IQ domain of the ASPM protein. The salient feature of this study is that a single variant led to significantly distinct changes in the architecture of brain of both siblings which is further confirmed by MRI results. The computation analysis showed that the change in the conservation of this residue cause this variant highly pathogenic. Carrier screening and genetic counselling were also remarkable features of this study (Aslam et al. in Kinnaird's 2nd International Conference on Science, Technology and Innovation, Lahore, 2023).

CONCLUSION

This study explores the extraordinary influence of a single ASPM variant on divergent brain structure in consanguineous siblings and enable us to reduce the incidence of further microcephalic cases in this Pakistani family (Aslam et al. in Kinnaird's 2nd International Conference on Science, Technology and Innovation, Lahore, 2023).

The neurological and non-neurological roles of the primary microcephaly-associated protein ASPM

Primary microcephaly (MCPH), is a neurological disorder characterized by small brain size that results in numerous developmental problems, including intellectual disability, motor and speech delays, and seizures. Hitherto, over 30 MCPH causing genes (MCPHs) have been identified. Among these MCPHs, MCPH5, which encodes abnormal spindle-like microcephaly-associated protein (ASPM), is the most frequently mutated gene. ASPM regulates mitotic events, cell proliferation, replication stress response, DNA repair, and tumorigenesis. Moreover, using a data mining approach, we have confirmed that high levels of expression of ASPM correlate with poor prognosis in several types of tumors. Here, we summarize the neurological and non-neurological functions of ASPM and provide insight into its implications for the diagnosis and treatment of MCPH and cancer.

Genetic Primary Microcephalies: When Centrosome Dysfunction Dictates Brain and Body Size

Primary microcephalies (PMs) are defects in brain growth that are detectable at or before birth and are responsible for neurodevelopmental disorders. Most are caused by biallelic or, more rarely, dominant mutations in one of the likely hundreds of genes encoding PM proteins, i.e., ubiquitous centrosome or microtubule-associated proteins required for the division of neural progenitor cells in the embryonic brain. Here, we provide an overview of the different types of PMs, i.e., isolated PMs with or without malformations of cortical development and PMs associated with short stature (microcephalic dwarfism) or sensorineural disorders. We present an overview of the genetic, developmental, neurological, and cognitive aspects characterizing the most representative PMs. The analysis of phenotypic similarities and differences among patients has led scientists to elucidate the roles of these PM proteins in humans. Phenotypic similarities indicate possible redundant functions of a few of these proteins, such as ASPM and WDR62, which play roles only in determining brain size and structure. However, the protein pericentrin (PCNT) is equally required for determining brain and body size. Other PM proteins perform both functions, albeit to different degrees. Finally, by comparing phenotypes, we considered the interrelationships among these proteins.

Integrated bioinformatics analysis of potential biomarkers for pancreatic cancer

BACKGROUND

Pancreatic cancer, particularly pancreatic ductal adenocarcinoma (PDA), is an aggressive malignancy associated with a low 5-year survival rate. Poor outcomes associated with PDA are attributable to late detection and inoperability. Most patients with PDA are diagnosed with locally advanced and metastatic disease. Such cases are primarily treated with chemotherapy and radiotherapy. Because of the lack of effective molecular targets, early diagnosis and successful therapies are limited. The purpose of this study was to screen key candidate genes for PDA using a bioinformatic approach and to research their potential functional, pathway mechanisms associated with PDA progression. It may help to understand the role of associated genes in the development and progression of PDA and identify relevant molecular markers with value for early diagnosis and targeted therapy.

MATERIALS AND METHODS

To identify novel genes associated with carcinogenesis and progression of PDA, we analyzed the microarray datasets GSE62165, GSE125158, and GSE71989 from the Gene Expression Omnibus (GEO) database. Differentially expressed genes (DEGs) were identified, and the Database for Annotation, Visualization, and Integrated Discovery (DAVID) was used for Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. A protein-protein interaction (PPI) network was constructed using STRING, and module analysis was performed using Cytoscape. Gene Expression Profiling Interactive Analysis (GEPIA) was used to evaluate the differential expression of hub genes in patients with PDA. In addition, we verified the expression of these genes in PDA cell lines and normal pancreatic epithelial cells.

RESULTS

A total of 202 DEGs were identified and these were found to be enriched for various functions and pathways, including cell adhesion, leukocyte migration, extracellular matrix organization, extracellular region, collagen trimer, membrane raft, fibronectin-binding, integrin binding, protein digestion, and absorption, and focal adhesion. Among these DEGs, 12 hub genes with high degrees of connectivity were selected. Survival analysis showed that the hub genes (HMMR, CEP55, CDK1, UHRF1, ASPM, RAD51AP1, DLGAP5, KIF11, SHCBP1, PBK, and HMGB2) may be involved in the tumorigenesis and development of PDA, highlighting their potential as diagnostic and therapeutic factors in PDA.

CONCLUSIONS

In summary, the DEGs and hub genes identified in the present study not only contribute to a better understanding of the molecular mechanisms underlying the carcinogenesis and progression of PDA but may also serve as potential new biomarkers and targets for PDA.

A Two-Base Pair Deletion in IQ Repeats in ASPM Underlies Microcephaly in a Pakistani Family

Aims: Autosomal recessive primary microcephaly (MCPH) is a clinically rare and genetically highly heterogeneous developmental disorder. Biallelic variants in the abnormal spindle-like microcephaly-associated (ASPM) gene account for 40% to 68% of all MCPH cases. This study was designed to elucidate the genetic basis of MCPH in an extended family. To highlight recurrent mutations useful in implementing genetic testing programs, we further aimed to carry out a descriptive review of the reported ASPM mutations. Materials and Methods: A large inbred kindred with seven affected members was investigated, and detailed clinical and behavioral assessments were carried out. Single nucleotide polymorphism (SNP)-based homozygosity mapping and exome sequencing were performed. Results: Affected individuals had characteristic features, including small head, receding forehead, mild to moderate intellectual disability, developmental delay, short stature, apraxia, and behavioral anomalies. We mapped the disease gene locus and detected a rare frameshift deletion c.6854_6855del (p.(Leu2285GlnfsTer32)) in exon 18 of ASPM. A total of 215 mutations in ASPM have been reported in at least 453 families, nearly 50% of which are of Pakistani origin. These mutations can be classified as recurrent, founder or private in Pakistani and other populations. Conclusion: SNP-based homozygosity mapping and exome sequencing are essential in delineating the genetically distinct microcephaly types. The highlighted recurrent mutations in ASPM could be useful in implementing genetic testing programs for MCPH.