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Biology subjects

Kasera, H.

Publications and source records attributed to Kasera, H..

2 recordsLinked to original sources

PLK4 homodimerization is required for CEP152 centrosome localization and spindle organization

Polo-Like Kinase 4 (PLK4) is a unique serine/threonine kinase family member that homodimerizes using its cryptic polo-box (CPB) region. Homodimerization of PLK4 causes transphosphorylation, which activates its ubiquitin-mediated degradation. Interestingly, CPB is also involved in interaction with the upstream centrosome recruiters, CEP152 and CEP192 in human cells. However, the effect of PLK4 homodimerization on the CEP192-CEP152 network remains unexplored. In this work, we identified a frequently occurring cancerous PLK4 variant (E774*), which truncated the protein at the 774 position. The truncated PLK4 is unable to homodimerize and interact with CEP152 and CEP192. During the S-phase progression, we show that CEP152 recruits PLK4 to centrosomes. The homodimerization of PLK4, in turn, is needed for maintaining CEP152 centrosome levels. CEP152 levels correlate to pericentrin at S-phase centrosomes, which generate focused spindles by the M-phase. The homodimerization mutant exhibits reduced levels of CEP152 and pericentrin at S-phase centrosomes, which causes unfocused spindles at the M-phase and reduces cell viability. This work shows the requirement of PLK4 homodimerization for proper centrosome and spindle organization, which is disrupted in cancer.

cell biology↗

Gene expression profiling and protein-protein network analysis revealed prognostic hub biomarkers linking cancer risk in type 2 diabetic patients

Type 2 diabetes mellitus (T2DM) and cancer are highly prevalent diseases imposing major health burden globally. Several epidemiological studies indicate increased susceptibility to cancer in T2DM patients. However, genetic factors linking T2DM with cancer are poorly studied so far. We used computational approach on the raw gene expression data of peripheral blood mononuclear cells of Homo sapiens available at the gene expression omnibus (GEO) database, to identify shared differentially expressed genes (DEGs) in T2DM and three common cancer types namely, pancreatic (PC), liver (LC) and breast cancer (BC). Additional functional and pathway enrichment analysis of identified common DEGs highlighted involvement of important biological pathways including cell cycle events, immune system process, cell morphogenesis, gene expression and metabolism. Furthermore, we retrieved the PPI network for crucial DEGs obtained from above analysis to deduce molecular level interactions. Based on the result of network analysis, we found 8, 5 and 9 common hub genes in T2DM vs PC, T2DM vs LC and T2DM vs BC, respectively. Overall, our analysis identified important genetic markers potentially able to predict the chances of pancreatic, liver and breast cancer onset in T2DM patients.

bioinformatics↗