Biology subjects

Roychoudhury, S.

Publications and source records attributed to Roychoudhury, S..

4 recordsLinked to original sources

bioRxiv2026

The TIRR–53BP1 axis controls PLK1 spatiotemporal regulation during mitosis

p53-binding protein 1 (53BP1) is a key mediator of the DNA damage response and genome stability. While its interphase function is well-characterized, its mitotic role remains less understood. Here we show that aberrant activation of 53BP1 through the loss of its negative regulator, TIRR, leads to mitotic abnormalities including altered spindle geometry, kinetochore-microtubule (k-MT) attachment errors and whole chromosome missegregation. We demonstrate that loss of TIRR results in excess interaction between 53BP1 and the key mitotic kinase Polo-like kinase 1 (PLK1), altering PLK1s activation, spatial distribution, and its interaction with known PLK1 substrates at multiple mitotic stages. Moreover, due to PLK1s established role in CENP-A loading, hyperactivation of 53BP1 compromises CENP-A loading, triggers gradual loss of CENP-A from centromeres and generates severe kinetochore assembly defects. These findings uncover a non-canonical mitotic function of 53BP1 as a key regulator of PLK1 activity and chromosome segregation fidelity.

Cell Biology↗

bioRxiv2023

Reversal of drug resistance by disruption of a Gain-of-Function mutant p53 and transcriptional co-activator PC4 interaction

The positive coactivator 4 or PC4 is a chromatin-associated protein whose role in gene regulation by wild-type p53 is now well-known. During tumorigenesis, p53 is often mutated resulting in its loss of function. A sub-class of these mutants gain new pro-proliferation properties which occur largely due to the upregulation of many pro-proliferation genes. Little is known about the roles of PC4 in tumor cells bearing mutant p53 genes. In this article, we show that PC4 associates with one of the tumor-associated gain-of-function p53 mutants, R273H. This association drives its recruitment to two promoters, UBE2C, and MDR1, known to be responsible for imparting aggressive growth and resistance to many drugs. A previously reported peptide that disrupts PC4-wild-type p53 interaction also disrupts the PC4-R273Hp53 protein-protein interaction. The introduction of this peptide to tumor cells bearing the R273HTP53 gene resulted in a lowering of MDR1 expression and abrogation of drug resistance. Interestingly, cells bearing another gain-of-function mutant R248W do not show the same type of response, suggesting that the action of PC4 on mutant p53s may differ for different GOF mutants. The results presented here suggest that PC4-R273H interaction may be a promising target for reducing proliferation and tumor drug resistance.

molecular biology↗

bioRxiv2020

Red Panda: A novel method for detecting variants in single-cell RNA sequencing

Single-cell sequencing enables us to better understand genetic diseases, such as cancer or autoimmune disorders, which are often affected by changes in rare cells. Currently, no existing software is aimed at identifying single nucleotide variations or micro (1-50bp) insertions and deletions in single-cell RNA sequencing (scRNA-seq) data. Generating high-quality variant data is vital to the study of the aforementioned diseases, among others. In this study, we report the design and implementation of Red Panda, a novel method to accurately identify variants in scRNA-seq data. Variants were called on scRNA-seq data from human articular chondrocytes, mouse embryonic fibroblasts (MEFs), and simulated data stemming from the MEF alignments. Red Panda had the highest Positive Predictive Value at 45.0%, while other tools--FreeBayes, GATK HaplotypeCaller, GATK UnifiedGenotyper, Monovar, and Platypus--ranged from 5.8%-41.53%. From the simulated data, Red Panda had the highest sensitivity at 72.44%. We show that our method provides a novel and improved mechanism to identify variants in scRNA-seq as compared to currently-existing software. AvailabilitySource code freely available under the MIT License at https://github.com/adambioi/red_panda, and is supported on Linux

bioinformatics↗

bioRxiv2018

MiR-146a-dependent regulation of CD24/AKT/β-catenin axis drives stem cell phenotype in oral cancer

Cancer stem cells (CSCs) are known to potentiate tumor initiation and maintenance in Oral Squamous Cell Carcinoma (OSCC). Increasing evidences suggest that CD44highCD24low population in OSCC are potential CSCs. MicroRNAs (miRNAs) have emerged as crucial players in tumor development. However, their role in maintenance of OSCC stem cells remains unclear. Here we report that CD44highCD24low population within OSCC cells and primary HNSCC tumors have an elevated expression of miR-146a. Moreover, over-expression of miR-146a results in enhanced stemness phenotype by augmenting CD44highCD24low population. We demonstrate that miR-146a induces stemness by stabilizing {beta}-catenin with concomitant loss of E-cadherin and CD24. Interestingly, CD24 is identified as a novel functional target of miR-146a and ectopic expression of CD24 abrogates miR-146a driven potential CSC phenotype. Mechanistic analysis reveals that higher CD24 levels inhibit AKT phosphorylation leading to {beta}-catenin degradation. Using stably expressing miR-146a/CD24 OSCC cell lines, we also validate that the miR-146a/ CD24/AKT loop significantly alters tumorigenic ability in vivo. Furthermore, we confirmed that {beta}-catenin trans-activates miR-146a, thereby forming a positive feedback loop contributing to stem cell maintenance. Collectively, our study demonstrates that miR-146a regulate CSCs in OSCC through CD24-AKT-{beta}-catenin axis.\n\nHighlightsO_LIMiR-146a induces cancer stem cell characteristics in OSCC by targeting CD24\nC_LIO_LICD24 abrogates miR-146a mediated stemness via {beta}-catenin degradation in non-CSCs\nC_LIO_LIAkt/Wnt pathway is critical for sustenance of miR-146a driven potential CSCs\nC_LIO_LIThe miR-146a/CD24/AKT loop significantly alters tumorigenic ability in vivo\nC_LI

cancer biology↗