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Bakker, B.

Publications and source records attributed to Bakker, B..

13 recordsLinked to original sources

Tracking genome evolution in single cell clones reveals the rates and features of copy number alterations generated by ongoing chromosomal instability in cancer.

Cancer genomes exhibit extensive chromosomal alterations caused by ongoing Chromosomal Instability (CIN). The ensuing cell-cell heterogeneity facilitates evolution and cancer cell plasticity that can drive therapy resistance, yet cancer CIN driver mechanisms remain essentially uncharacterised. This lack of knowledge presents an untapped opportunity to target vulnerabilities associated with ongoing CIN for therapy. Existing methods to investigate the cellular mechanisms responsible for CIN rely on laborious functional assays, or inference from genomic alteration patterns from sequencing data. Current bulk sequencing derived copy number alteration pattern signatures lack the cell-cell resolution that would reveal recent genomic alterations caused by CIN. Large-scale single cell sequencing of cancer cell populations is now emerging. However, it is not known whether the effects of selection still obscure the spectrum of genomic alterations caused by recent CIN. To address this, we employed a single-cell whole-genome sequencing (scWGS) clonal outgrowth technique, that allows us to track the real-time evolution of cancer genomes at the single-cell level. Single cancer cells surprisingly re-establish heterogeneity that matches their parental population within [~]22 generations. By comparing the features of copy number alterations at different evolutionary timepoints we reveal that some alteration types are likely under negative selection and are thus only apparent in the most recent cell divisions, and not in the parental population. In one cell line we identify a particular chromosome subject to recurrent chromosomal deletions, and validated that this chromosome wasinvolved frequently in mis-segregation events during anaphase using fluorescence In-Situ hybridisation.

cancer biology↗

Predicting CIN rates from single-cell whole genome sequencing data using an in silico model

Chromosomal instability (CIN) drives the formation of karyotype aberrations in cancer cells and is a major contributor to intra-tumour heterogeneity, metastasis, and therapy resistance. Understanding how CIN contributes to tumour karyotype evolution requires quantification of CIN rates in primary tumours. Single-cell sequencing-based technologies enable the detection of karyotype heterogeneity, however deducing the actual CIN rates that underlie intra-tumour heterogeneity is still complicated. We have developed an in-silico model, called CINsim, to simulate the karyotype dynamics and validated our model in a murine mouse model for T-cell lymphoma (T-ALL) in which CIN is introduced by mutation of the Mps1 spindle assembly checkpoint protein. CINsim can simulate karyotype evolution within physiologically relevant timescales, across a range of CIN rates, and across a range of karyotype-imposed survival and proliferation effects. We find that CINsim can accurately predict the CIN rates in chromosomal instable mouse T-ALLs as well as in human colon cancer organoids as observed by live-cell time-lapse imaging. We conclude that CINsim is a powerful tool to estimate CIN rates from static single-cell DNA sequencing data by finding the most likely path from euploid founder cell to a heterogeneous tumour cell population.

cancer biology↗

Cancer tolerance to chromosomal instability is driven by Stat1 inactivation in vivo

Chromosomal instability is a hallmark of cancer, but also an instigator of aneuploidy-induced stress, reducing cellular fitness. To better understand how cells with CIN adjust to aneuploidy and adopt a malignant fate in vivo, we performed a genome-wide mutagenesis screen in mice. We find that specifically aneuploid tumors inactivate Stat1 signaling in combination with increased Myc activity. By contrast, loss of p53 is common, but not enriched in CIN tumors. Validation in another tissue type confirmed that CIN promotes immune cell infiltration, which is alleviated by Stat1 loss combined with Myc activation, but not with p53 inactivation, or Myc activation alone. Importantly, we find that this mechanism is preserved in human aneuploid cancers. We conclude that aneuploid cancers inactivate Stat1 signaling to circumvent immune surveillance.

cancer biology↗

A yeast with muscle does not run faster: full humanization of the glycolytic pathway in Saccharomyces cerevisiae

While transplantation of single genes in yeast plays a key role in elucidating gene functionality in metazoans, technical challenges hamper the humanization of full pathways and processes. Empowered by advances in synthetic biology, this study demonstrates the feasibility and implementation of full humanization of glycolysis in yeast. Single gene and full pathway transplantation revealed the remarkable conservation of both glycolytic and moonlighting functions and, combined with evolutionary strategies, brought to light novel, context-dependent responses. Remarkably, human hexokinase 1 and 2, but not 4, required mutations in their catalytic or allosteric sites for functionality in yeast, while hexokinase 3 was unable to complement its yeast ortholog. Comparison with human tissues cultures showed the preservation of turnover numbers of human glycolytic enzymes in yeast and human cell cultures. This demonstration of transplantation of an entire, essential pathway paves the way to the establishment of species, tissue and disease-specific metazoan models. One Sentence SummaryThis work demonstrates the successful humanization of an entire pathway in Saccharomyces cerevisiae and establishes an attractive strategy to study (human) glycolysis architecture and regulation. HighlightsO_LIThe successful humanization of the entire glycolytic pathway in yeast offers new microbial models for both fundamental and applied studies. C_LIO_LIBoth glycolytic and moonlighting functions and turnover numbers of glycolytic enzymes are highly conserved between yeast and human. C_LIO_LIFunctionality of human hexokinases 1 and 2 in yeast requires mutations in the catalytic or allosteric binding sites. C_LIO_LICombination of single gene and full transplantation with laboratory evolution reveals context-dependent activity and evolution of glycolytic enzymes. C_LI

systems biology↗

Monosomies, trisomies and segmental aneuploidies differentially affect chromosomal stability

Aneuploidy and chromosomal instability are both commonly found in cancer. Chromosomal instability leads to karyotype heterogeneity in tumors and is associated with therapy resistance, metastasis and poor prognosis. It has been hypothesized that aneuploidy per se is sufficient to drive CIN, however due to limited models and heterogenous results, it has remained controversial which aspects of aneuploidy can drive CIN. In this study we systematically tested the impact of different types of aneuploidies on the induction of CIN. We generated a plethora of isogenic aneuploid clones harboring whole chromosome or segmental aneuploidies in human p53-deficient RPE-1 cells. We observed increased segregation errors in cells harboring trisomies that strongly correlated to the number of gained genes. Strikingly, we found that clones harboring only monosomies do not induce a CIN phenotype. Finally, we found that an initial chromosome breakage event and subsequent fusion can instigate breakage-fusion-bridge cycles in segmental aneuploidies. This suggests that monosomies, trisomies and segmental aneuploidies have fundamentally different effects on chromosomal instability and these results help us to decipher the complex relationship between aneuploidy and CIN.

cell biology↗

A synthetic lethal screen identifies HDAC4 as a potential target in MELK overexpressing cancers

Maternal embryonic leucine zipper kinase (MELK) is frequently overexpressed in cancer, but the role of MELK in cancer is still poorly understood. MELK was shown to have roles in many cancer-associated processes including tumor growth, chemotherapy resistance, and tumor recurrence. To determine whether the frequent overexpression of MELK can be exploited in therapy, we performed a high-throughput screen using a library of Saccharomyces cerevisiae mutants to identify genes whose functions become essential when MELK is overexpressed. We identified two such genes: LAG2 and HDA3. LAG2 encodes an inhibitor of the SCF ubiquitin-ligase complex, while HDA3 encodes a subunit of the HDA1 histone deacetylase complex. We find that one of these synthetic lethal interactions is conserved in mammalian cells, as inhibition of a human homolog of HDA3 (HDAC4) is synthetically toxic in MELK overexpression cells. Altogether, our work might provide a new angle of how to exploit MELK overexpression in cancers and might thus lead to novel intervention strategies.

genetics↗

Deletion of Serf2 shifts amyloid conformation in an Aβ amyloid mouse model

In age-related neurodegenerative disease, like Alzheimers and Parkinsons disease, disease-specific proteins become aggregation-prone and form amyloid-like deposits. Depletion of SERF proteins ameliorates this toxic process in worm- and human cell models for disease. Whether SERF modifies amyloid pathology in mammalian brain, however, has remained unknown. Here, we generated SERF2 brain-specific knockout mice which, unlike full body knockout mice, were viable, and showed no major behavioral and cognitive abnormalities. We combined these knockout mice with the APPPS1 mouse model for human amyloid beta aggregation. Using structure-specific amyloid dyes, previously used to distinguish amyloid polymorphisms in human brain, we show that knockout of SERF2 alters the structure of amyloid fibrils and deposits. Moreover, scanning transmission electron microscopy revealed thicker, shorter and more densely packed amyloid in absence of SERF2. Altogether, our data reveal pleiotropic functions of SERF in development and aging and support a function as a modifier of amyloid aggregation in mammalian brain. Our results indicate that single cellular factors like SERF can determine the structural outcome of amyloid aggregation, offering possibilities for polymorphism-based disease interventions.

molecular biology↗

Targeted cancer therapy induces APOBEC fuelling the evolution of drug resistance

Introductory paragraphThe clinical success of targeted cancer therapy is limited by drug resistance that renders cancers lethal in patients1-4. Human tumours can evolve therapy resistance by acquiring de novo genetic alterations and increased heterogeneity via mechanisms that remain incompletely understood1. Here, through parallel analysis of human clinical samples, tumour xenograft and cell line models and murine model systems, we uncover an unanticipated mechanism of therapy-induced adaptation that fuels the evolution of drug resistance. Targeted therapy directed against EGFR and ALK oncoproteins in lung cancer induced adaptations favoring apolipoprotein B mRNA-editing enzyme, catalytic polypeptide (APOBEC)-mediated genome mutagenesis. In human oncogenic EGFR-driven and ALK-driven lung cancers and preclinical models, EGFR or ALK inhibitor treatment induced the expression and DNA mutagenic activity of APOBEC3B via therapy-mediated activation of NF-{kappa}B signaling. Moreover, targeted therapy also mediated downregulation of certain DNA repair enzymes such as UNG2, which normally counteracts APOBEC-catalyzed DNA deamination events. In mutant EGFR-driven lung cancer mouse models, APOBEC3B was detrimental to tumour initiation and yet advantageous to tumour progression during EGFR targeted therapy, consistent with TRACERx data demonstrating subclonal enrichment of APOBEC-mediated mutagenesis. This study reveals how cancers adapt and drive genetic diversity in response to targeted therapy and identifies APOBEC deaminases as future targets for eliciting more durable clinical benefit to targeted cancer therapy.

cancer biology↗

Transient genomic instability drives tumorigenesis through accelerated clonal evolution

Abnormal numerical and structural chromosome content is frequently found in human cancer. To test the role of aneuploidy in tumor initiation and progression, we compared tumor development in mice with chronic chromosome instability (CIN) induced by inactivation of the spindle assembly checkpoint (produced by Mad2 deficiency) and mice with transient CIN through transiently increased expression of polo-like kinase 4 (PLK4), a master regulator of centrosome number. Tumors forming under chronic CIN gradually trended toward chromosomal gains producing a specific karyotype profile that could only be partially maintained in end-stage tumors, as determined by single-cell whole genome DNA sequencing. Short term CIN from transient PLK4 induction generated significant centrosome amplification and aneuploidy resulting in formation of aggressive T cell lymphomas in mice with heterozygous inactivation of one p53 allele or accelerated tumor development in the absence of p53. Transient CIN increased the frequency of lymphomainitiating cells (as revealed by T cell receptor sequencing) with a specific karyotype profile containing triploid chromosomes 4, 5, 14, and 15 occurring early in tumorigenesis. Overall, our evidence demonstrates that distinct CIN mechanisms drive cancers presenting specific, complex chromosomal alterations with transient CIN rapidly enhancing tumor formation by accelerating the generation of such events.

cancer biology↗

Replication Stress Generates Multiple Distinct Classes of Copy Number Alterations

BackgroundWe previously showed that a major driver of cancer chromosomal instability (CIN) is replication stress, the slowing or stalling of DNA replication. However, the precise drivers of replication stress in cancer and the mechanisms by which these cause CIN and influence tumour evolution remain unclear. Common fragile sites are well-known genomic locations of breakage after aphidicolin-induced replication stress, but their precise causes of fragility are debated, and additional genomic consequences of replication stress are not fully explored. ResultsUsing single cell sequencing we detected DNA copy number alterations (CNAs) caused by one cell cycle under replication stress in diploid non-transformed cells. Aphidicolin-induced replication stress caused multiple types of CNAs associated with different genomic regions and features. Coupling cell type-specific analysis of CNAs to gene expression and single cell replication timing analyses allowed us to pinpoint the causative large genes of the most recurrent chromosome-scale CNAs. In RPE1 cells these were largely confined to three sites on chromosomes 1, 2 and 7 and generated acentric lagging chromatin and micronuclei containing these chromosomes. Different replicative stresses generated distinct profiles of CNAs providing the potential to interpret specific replication stress mechanisms from cancer cells. ConclusionsChromosomal instability driven by replication stress occurs via focal CNAs and chromosome arm-scale changes, with the latter confined to a very small subset of chromosome regions, potentially heavily skewing cancer genome evolution trajectories. Single cell CNA analysis thus reveals new insights into the impact of replication stress on the genome and provides a platform to further dissect molecular mechanisms involved in the replication stress response and to gain insights into how replication stress fuels chromosomal instability in cancer.

molecular biology↗

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↗

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↗

Molecular basis of mitotic decline during human aging

Aneuploidy, an abnormal chromosome number, has been linked to aging and age-associated diseases, but the underlying molecular mechanisms remain unknown. Supported by direct live-cell imaging of young, middle-aged and old-aged primary human dermal fibroblasts, we found that aneuploidy increases with aging due to general dysfunction of the mitotic machinery. Increased chromosome segregation defects in elderly mitotic cells correlated with an early senescence-associated secretory phenotype (SASP) and repression of Forkhead box M1 (FoxM1), the transcription factor that drives expression of most G2/M genes. By restoring FoxM1 levels in elderly and Hutchison-Gilford Progeria Syndrome fibroblasts we prevented aneuploidy and, importantly, ameliorated cellular phenotypes associated with aging. Moreover, senescent fibroblasts isolated from elderly donors cultures were mostly aneuploid, suggesting that aneuploidy is a key player in the progression into full senescence phenotypes. Based on this feedback loop between cellular aging and aneuploidy, we propose modulation of mitotic efficiency through FoxM1 as a potential strategy against aging and progeria syndromes.

cell biology↗