Biology subjects

Wheelan, S. J.

Publications and source records attributed to Wheelan, S. J..

5 recordsLinked to original sources

bioRxiv2024

Islands of genomic stability in the face of genetically unstable metastatic cancer

AbstractO_ST_ABSIntroductionC_ST_ABSMetastatic cancer affects millions of people worldwide annually and is the leading cause of cancer-related deaths. Most patients with metastatic disease are not eligible for surgical resection, and current therapeutic regimens have varying success rates, some with 5-year survival rates below 5%. Here we test the hypothesis that metastatic cancer can be genetically targeted by exploiting single base substitution mutations unique to individual cells that occur as part of normal aging prior to transformation. These mutations are targetable because [~]10% of them form novel tumor-specific "NGG" protospacer adjacent motif (PAM) sites targetable by CRISPR-Cas9. MethodsWhole genome sequencing was performed on five rapid autopsy cases of patient-matched primary tumor, normal and metastatic tissue from pancreatic ductal adenocarcinoma decedents. CRISPR-Cas9 PAM targets were determined by bioinformatic tumor-normal subtraction for each patient and verified in metastatic samples by high-depth capture-based sequencing. ResultsWe found that 90% of PAM targets were maintained between primary carcinomas and metastases overall. We identified rules that predict PAM loss or retention, where PAMs located in heterozygous regions in the primary tumor can be lost in metastases (private LOH), but PAMs occurring in regions of loss of heterozygosity (LOH) in the primary tumor were universally conserved in metastases. ConclusionsRegions of truncal LOH are strongly retained in the presence of genetic instability, and therefore represent genetic vulnerabilities in pancreatic adenocarcinomas. A CRISPR-based gene therapy approach targeting these regions may be a novel way to genetically target metastatic cancer.

cancer biology↗

bioRxiv2022

Single-cell atlas of epithelial and stromal cell heterogeneity by lobe and strain in the mouse prostate

Evaluating the complex interplay of cell types in the tissue microenvironment is critical to understanding the origin and progression of diseases in the prostate and potential opportunities for intervention. Mouse models are an essential tool to investigate the molecular and cell-type-specific contributions of prostate disease at an organismal level. While there are well-documented differences in the extent, timing, and nature of disease development in various genetically engineered mouse models in different mouse strains and prostate lobes within each mouse strain, yet, the underlying molecular phenotypic differences in cell types across mouse strains and prostate lobes are incompletely understood. To address this, we examined the single-cell transcriptomes of individual mouse prostate lobes from two commonly used mouse strains, FVB/NJ and C57BL/6J. Data dimensionality reduction and clustering analysis revealed that basal and luminal cells possessed strain-specific transcriptomic differences, with luminal cells also displaying marked lobe-specific differences. Additionally, three rare populations of epithelial cells clustered independently of strain and lobe: one population of luminal cells expressing Foxi1 and components of the vacuolar ATPase proton pump (Atp6v0d2 and Atp6v1g3), another population expressing Psca and other stem cell-associated genes (Ly6a/Sca-1, Tacstd2/Trop-2), and a neuroendocrine population expressing Chga, Chgb, and Syp. In contrast, stromal cell clusters, including fibroblasts, smooth muscle cells, endothelial cells, pericytes, and immune cell types, were conserved across strain and lobe, clustering largely by cell type and not by strain or lobe. One notable exception to this was the identification of two distinct fibroblast populations that we term subglandular fibroblasts and interstitial fibroblasts based on their strikingly distinct spatial distribution in the mouse prostate. Altogether, these data provide a practical reference of the transcriptional profiles of mouse prostate from two commonly used mouse strains and across all four prostate lobes.

cell biology↗

bioRxiv2021

Hobotnica: exploring molecular signature quality

A Molecular Features Set (MFS), is a result of vast diversity of bioinformatics pipelines. In case when MFS is used for further analysis to distinguish between phenotypes, it is often referred to as a signature. Lack of the "gold standard" for most experimental data modalities makes it hard to provide valid estimation for a particular MFSs quality. Yet, this goal can partially be achieved by analyzing inner-sample Distance Matrix (DM) and their power to distinguish between phenotypes. The quality of a DM can be assessed by summarizing its power to quantify the differences of inner-phenotype and outer-phenotype distances. This estimation of the DM quality can be construed as a measure of the MFSs quality. Here we propose Hobotnica, an approach to estimate MFSs quality by their ability to stratify data, and assign them significance scores, that allows for collating various signatures and comparing their quality for contrasting groups.

bioinformatics↗

bioRxiv2021

Phased Mutations and Complex Rearrangements in Human Prostate Cancer Cell Lines through Linked-Read Whole Genome Sequencing

A limited number of cell lines have fueled the majority of preclinical Prostate cancer (PCa) research. Despite tremendous effort in characterizing their molecular profiles, comprehensive whole genome sequencing with allelic phasing of somatic genome alterations has not been undertaken to date. Here, we utilized whole genome Linked-read sequencing to obtain haplotype information from the seven most commonly used PCa cell lines (PC3, LNCaP, DU145, CWR22Rv1, VCaP, LAPC4, MDA-PCa-2b), four castrate resistant (CR) subclones (LNCaP_Abl, LNCaP_C42b, VCaP-CR, LAPC4-CR), and an immortalized prostate epithelial line RWPE-1. Phasing of mutations allowed derivation of "Gene-level Haplotype" to assess whether a gene harbored heterozygous mutations in one or both alleles, providing a comprehensive catalogue of mono or bi-allelically inactivated genes. Phased structural variant analysis allowed identification of complex rearrangement chains consistent with chromothripsis and chromoplexy, with breakpoints occurred across a single allele, providing further evidence that complex SVs occurred in a concerted event, rather than through accumulation of multiple independent rearrangements. Additionally, comparison of parental and CR subclones revealed previously known and novel genomic alterations associated with the CR clones. This study therefore comprehensively characterized phased genomic alterations in the commonly used PCa cell lines and provided a useful resource for future cancer research.

cancer biology↗

bioRxiv2020

Pervasive promoter hypermethylation of silenced TERT alleles in human cancers

In cancers, maintenance of telomeres often occurs through activation of the catalytic subunit of telomerase, encoded by TERT. Yet, most cancers show only modest levels of telomerase gene expression, even in the context of activating hotspot promoter mutations (C228T and C250T). The role of epigenetic mechanisms, including DNA methylation, in regulating telomerase gene expression in cancer cells is not fully understood. Here, we have carried out the most comprehensive characterization to date of TERT promoter methylation using ultra-deep bisulfite sequencing spanning the CpG island surrounding the core TERT promoter in 96 different human cell lines. In general, we observed that immortalized and cancer cell lines were hypermethylated in a region upstream of the recurrent C228T and C250T TERT promoter mutations, while non-malignant primary cells were comparatively hypomethylated in this region. However, at the allele-level, we generally observe hypermethylation of promoter sequences in cancer cells is associated with repressed expression, and the remaining unmethylated alleles marked with open chromatin are largely responsible for the observed TERT expression in cancer cells. Our findings suggest that hypermethylation of the TERT promoter alleles signals transcriptional repression of those alleles, leading to the attenuation of TERT activation in cancer cells. SIGNIFICANCEHypermethylation of the TERT promoter alleles to attenuate TERT activation in cancer cells may account for the modest activation of TERT expression in most cancers.

cancer biology↗