Biology subjects

Spierings, D. C. J.

Publications and source records attributed to Spierings, D. C. J..

23 records · Page 2Linked to original sources

bioRxiv2019

Improved assembly and variant detection of a haploid human genome using single-molecule, high-fidelity long reads

The sequence and assembly of human genomes using long-read sequencing technologies has revolutionized our understanding of structural variation and genome organization. We compared the accuracy, continuity, and gene annotation of genome assemblies generated from either high-fidelity (HiFi) or continuous long-read (CLR) datasets from the same complete hydatidiform mole human genome. We find that the HiFi sequence data assemble an additional 10% of duplicated regions and more accurately represent the structure of tandem repeats, as validated with orthogonal analyses. As a result, an additional 5 Mbp of pericentromeric sequences are recovered in the HiFi assembly, resulting in a 2.5-fold increase in the NG50 within 1 Mbp of the centromere (HiFi 480.6 kbp, CLR 191.5 kbp). Additionally, the HiFi genome assembly was generated in significantly less time with fewer computational resources than the CLR assembly. Although the HiFi assembly has significantly improved continuity and accuracy in many complex regions of the genome, it still falls short of the assembly of centromeric DNA and the largest regions of segmental duplication using existing assemblers. Despite these shortcomings, our results suggest that HiFi may be the most effective stand-alone technology for de novo assembly of human genomes.

genomics↗

bioRxiv2018

Single cell DNA sequencing reveals distinct molecular types of basal cell carcinoma with unique transcriptome features

Background: Aneuploidy, a hallmark of cancer, is the result of chromosomal instability (CIN) during mitosis. While some aneuploid cancers display stable karyotypes, other tumours display cell-to-cell karyotype variability indicative of CIN. CIN cancers are typically associated with poor clinical outcome, as they are endowed with the potential to adjust their genomes to changing conditions including therapy. To further explore this, we assessed the degree of aneuploidy and CIN in basal cell carcinoma (BCC) and investigated whether the karyotypic makeup of tumours was associated with distinct transcriptional responses. Patients and Methods: Samples from 11 BCC patients were processed for single-cell whole genome sequencing (scWGS) to measure aneuploidy and karyotype heterogeneity. In parallel, samples were processed for transcriptome analysis. Results: scWGS revealed different grades of aneuploidy between BCCs, ranging from euploidy to tumours with up to 7 aneusomic chromosomes. Importantly, a subset of BCCs displayed intratumour karyotype heterogeneity, indicating that CIN can play a role in BCC. Samples were clustered into three groups based on the level of aneuploidy and intratumour karyotype heterogeneity. Karyotype-driven group classification was also reflected by the tumour transcriptomes and revealed distinct gene expression signatures related to metabolism for aneuploid BCCs and a DNA damage signature for CIN BCCs. Conclusions: While BCCs are typically classified based on histopathological features, we find that BCCs can be stratified based on karyotypic landscape. Importantly, this classification is linked to distinct molecular features and could thus be the starting point of a molecular classification system for BCC including a readout for CIN. Importantly, the approach that we have developed is broadly applicable and could therefore also improve the diagnosis and treatment of other cancer types.

cancer biology↗

bioRxiv2018

Non-Random Mis-Segregation of Human Chromosomes.

Recurrent patterns of chromosomal changes (aneuploidy) are widespread in cancer. These patterns are mainly attributed to selection processes due to an assumption that human chromosomes carry equal chance of being mis-segregated into daughter cells when fidelity of cell division is compromised. Human chromosomes vary widely in size, gene density and other parameters that might generate bias in mis-segregation rates, however technological limitations have precluded a systematic and high throughput analysis of chromosome-specific aneuploidy. Here, using fluorescence In-Situ hybridization (FISH) imaging of specific centromeres coupled with high-throughput single cell analysis, as well as single-cell sequencing we show that human chromosome mis-segregation is non-random. Merotelic kinetochore attachment induced by nocodazole washout leads to elevated aneuploidy of a subset of chromosomes, and high rates of anaphase lagging of chromosomes 1 and 2. Mechanistically, we show that these chromosomes are prone to cohesion fatigue that results in anaphase lagging upon release from nocodazole or Eg5 inhibition. Our findings suggest that inherent properties of specific chromosomes can influence chromosome mis-segregation and aneuploidy, with implications for studies on aneuploidy in human disease.

cell biology↗

bioRxiv2017

BLM helicase suppresses recombination at G-quadruplex motifs in transcribed genes

Bloom syndrome is a cancer predisposition disorder caused by mutations in the BLM helicase gene. Cells from persons with Bloom syndrome exhibit striking genomic instability characterized by excessive sister chromatid exchange events (SCEs). We applied single-cell DNA template strand-sequencing (Strand-seq) to map the genomic locations of SCEs at a resolution that is orders of magnitude better than was previously possible. Our results show that, in the absence of BLM, sister chromatid exchanges in human and murine cells do not occur randomly throughout the genome but are strikingly enriched at coding regions, specifically at sites of putative guanine quadruplex (G4) motifs in transcribed genes. We propose that BLM protects against genome instability by suppressing recombination at sites of G4 structures, particularly in transcribed regions of the genome.

cell biology↗

bioRxiv2017

Double-strand breaks are not the main cause of spontaneous sister chromatid exchange in wild-type yeast cells

SummaryHomologous recombination involving sister chromatids is the most accurate, and thus most frequently used, form of recombination-mediated DNA repair. Despite its importance, sister chromatid recombination is not easily studied because it does not result in a change in DNA sequence, making recombination between sister chromatids difficult to detect. We have previously developed a novel DNA template strand sequencing technique, called Strand-seq, that can be used to map sister chromatid exchange (SCE) events genome-wide in single cells. An increase in the rate of SCE is an indicator of elevated recombination activity and of genome instability, which is a hallmark of cancer. In this study, we have adapted Strand-seq to detect SCE in the yeast Saccharomyces cerevisiae. Contrary to what is commonly thought, we find that most spontaneous SCE events are not due to the repair of DNA double-strand breaks.

molecular biology↗