Biology subjects

Perampalam, P.

Publications and source records attributed to Perampalam, P..

5 recordsLinked to original sources

bioRxiv2026

WNT8B and -9B promote the survival and dissemination of dormant ovarian cancer cells

Cancer cell dormancy and the resultant resistance to conventional therapies present significant challenges for the successful treatment of high-grade serous ovarian cancer (HGSC). We used genome wide, and specialized sgRNA, libraries in CRISPR-based screens to identify critical cell survival mechanisms in dormancy and metastasis. Our findings demonstrate that low expression Wnt ligands WNT8B and WNT9B are essential for sustaining cell survival during prolonged dormant spheroid culture conditions. These Wnt ligands utilize non-canonical signaling to activate expression of stem cell genes such as ALDH1A1, CD44 and others during spheroid dormancy. The loss of WNT8B and WNT9B reduced survival of xenografted ovarian cancer cells during early dissemination of disease that extended survival. Furthermore, treatment of WNT8B/9B deficient xenografts with carboplatin demonstrated increased sensitivity that further reduced dissemination and extended survival. These findings reveal that rare Wnt ligands can possess outsized functions in cancer pathogenesis and offer new avenues for improving treatment outcomes for HGSC through their inhibition.

cancer biology↗

bioRxiv2025

The DREAM complex links somatic mutation, lifespan, and disease

The DREAM complex has emerged as a central repressor of DNA repair, raising questions as to whether such repression exerts long-term effects on human health. Here we establish that DREAM activity significantly impacts lifetime somatic mutation burden, and that such effects are linked to altered lifespan and age-related disease pathology. First, joint profiling of DREAM activity and somatic mutations across a single-cell atlas of 21 mouse tissues shows that cellular niches with lower DREAM activity have decreased mutation rates. Second, DREAM activity predicts the varied lifespans observed across 92 mammals, with low activity marking longer-lived species. Third, reduced DREAM activity in Alzheimers patients predicts late disease onset and decreased risk for severe neuropathology. Finally, we show DREAM knockout protects against mutation accumulation in vivo, reducing single-base substitutions by 4.2% and insertion/deletions by 19.6% in brains of mice. These findings position DREAM as a key regulator of aging.

bioinformatics↗

bioRxiv2023

Netrin signaling mediates survival of dormant epithelial ovarian cancer cells

Dormancy in cancer is a clinical state in which residual disease remains undetectable for a prolonged duration. At a cellular level, rare cancer cells cease proliferation and survive chemotherapy and disseminate disease. We created a suspension culture model of high grade serous ovarian cancer (HGSOC) dormancy and devised a novel CRISPR screening approach to identify survival genes in this context. In combination with RNA-seq, we discovered the Netrin signaling pathway as critical to dormant HGSOC cell survival. We demonstrate that Netrin-1, -3, and its receptors are essential for low level ERK activation to promote survival, and that Netrin activation of ERK is unable to induce proliferation. Deletion of all UNC5 family receptors blocks Netrin signaling in HGSOC cells and compromises viability during the dormancy step of dissemination in xenograft assays. Furthermore, we demonstrate that Netrin-1 and -3 overexpression in HGSOC correlates with poor outcome. Specifically, our experiments reveal that Netrin overexpression elevates cell survival in dormant culture conditions and contributes to greater spread of disease in a xenograft model of abdominal dissemination. This study highlights Netrin signaling as a key mediator HGSOC cancer cell dormancy and metastasis.

cancer biology↗

bioRxiv2022

A comprehensive Bioconductor ecosystem for the design of CRISPR guide RNAs across nucleases and technologies

The success of CRISPR-mediated gene perturbation studies is highly dependent on the quality of gRNAs, and several tools have been developed to enable optimal gRNA design. However, these tools are not all adaptable to the latest CRISPR modalities or nucleases, nor do they offer comprehensive annotation methods for advanced CRISPR applications. Here, we present a new ecosystem of R packages, called crispr-Verse, that enables efficient gRNA design and annotation for a multitude of CRISPR technologies. This includes CRISPR knockout (CRISPRko), CRISPR activation (CRISPRa), CRISPR interference (CRISPRi), CRISPR base editing (CRISPRbe) and CRISPR knockdown (CRISPRkd). The core package, crisprDesign, offers a comprehensive, user-friendly, and unified interface to add on- and off-target annotations via several alignment methods, rich gene and SNP annotations, and a dozen on- and off-target activity scores. These functionalities are enabled for any RNA- or DNA-targeting nucleases, including Cas9, Cas12, and Cas13. We illustrate the general applicability of our tools by designing optimal gRNAs for three case studies: tiling CRISPRbe library for BRCA1 using the base editor BE4max, tiling RNA-targeting libraries for CD46 and CD55 using CasRx, and activation of MMP7 using CRISPRa. The crisprVerse ecosystem is open-source and deployed through the Bioconductor project to facilitate its use by the CRISPR community (https://github.com/crisprVerse).

bioinformatics↗

bioRxiv2020

GO-CRISPR: a highly controlled workflow to discover gene essentiality in loss-of-function screens

Genome-wide CRISPR screens are an effective discovery tool for genes that underlie diverse cellular mechanisms that can be scored through cell fitness. Loss-of-function screens are particularly challenging compared to gain-of-function because of the limited dynamic range of decreased sgRNA sequence detection. Here we describe Guide-Only control CRISPR (GO-CRISPR), an improved loss-of-function screening workflow, and its companion software package, Toolset for the Ranked Analysis of GO-CRISPR Screens (TRACS). We demonstrate a typical GO-CRISPR workflow in a non-proliferative 3D spheroid model of dormant high grade serous ovarian cancer and demonstrate superior performance to standard screening methods. The unique integration of the pooled sgRNA library quality and guide-only controls allows TRACS to identify novel molecular pathways that were previously unidentified in tumor dormancy. Together, GO-CRISPR and TRACS can robustly improve the discovery of essential genes in challenging biological scenarios.

systems biology↗