Biology subjects

Brors, B.

Publications and source records attributed to Brors, B..

At least 19 recordsLinked to original sources

bioRxiv2026

Alternative lengthening of telomeres stratifies complex karyotype sarcomas into distinct genomic and transcriptomic states

Complex karyotype sarcomas (CKS) are heterogeneous mesenchymal malignancies that typically lack recurrent actionable oncogenic drivers and remain therapeutically challenging. Loss of ATRX is a recurrent feature of CKS and defines a particularly high-risk subgroup. ATRX loss is also associated with activation of the alternative lengthening of telomeres (ALT) pathway, and ALT-positive sarcomas have been linked to poor clinical outcomes. However, the molecular underpinnings underlying ALT-status-dependent differences in CKS, as well as the therapeutic vulnerabilities associated with ALT, remain poorly defined. By integrating C-circle-based ALT detection across 776 sarcoma samples with multi-modal sequencing of five CKS subtypes, we find that ALT activity is associated with enriched hallmarks of genomic instability. ALT-positive transcriptomes are dominated by a coordinated DNA damage response and mitotic program, in contrast to oncogenic signaling pathways that drive TERT activation in ALT-negative tumors. Long-read sequencing reveals telomere repeat clusters and telomere-mediated healing at structural breakpoints in ALT-positive tumors. These events also occur on extrachromosomal DNA (ecDNA), linking ALT activity to ecDNA biology. Together, our findings position ALT status as an important stratifying feature of CKS and identify ALT-associated transcriptional programs as potential therapeutic targets.

cancer biology↗

bioRxiv2026

Dormancy, not apoptosis, restricts hematopoietic stem cell mutagenesis during aging

Genome instability and mutagenesis are hallmarks of aging, acting as drivers of some age-associated pathologies, including cancer1-3. Somatic cells engage multiple layers of protection against mutagenesis, including detoxification of genotoxic metabolites; repair of DNA damage; and elimination of cells which suffer excessive damage4-7. In this context, the intrinsic apoptotic pathway is engaged in response to activation of the DNA damage response (DDR) and is thought to play a major role in limiting accumulation of mutations, particularly in cells that act as an origin for cancer, such as somatic stem cells8,9. However, the dissection of the relative contribution of different protective mechanisms that restrict mutagenesis in such cells is confounded by the long time frame of experiments; relatively low mutation burden in non-malignant cells; and high variance across individuals due to differences in germ line and environment. Here we employ deep whole-genome sequencing (WGS) combined with extended time-course sampling from a range of experimental mouse models to study mutation acquisition in hematopoietic stem cells (HSCs) during aging. Having validated that murine HSCs recapitulate mutation acquisition patterns observed in aged human HSCs, we made the surprising discovery that apoptosis has a negligible role in restricting mutagenesis. Instead, we found that HSC dormancy inhibits mutagenesis during normal aging, with dormant HSCs from old mice demonstrating a mutation burden akin to their young counterparts. Importantly, breaking HSC dormancy via induction of sterile inflammation led to a dramatic acceleration in mutation rate, demonstrating that non-genotoxic environmental stimuli can modulate genome stability. These findings provide new insights into the correlation between inflammation and both aging and carcinogenesis.

cell biology↗

bioRxiv2025

Nanopore whole-genome sequencing reveals conserved chromosome-specific telomere architecture across tissues and populations

Telomeres are repetitive nucleoprotein structures that cap the ends of linear chromosomes and are essential for maintaining genomic stability. While individual chromosome ends maintain distinct telomere lengths, the extent of this conservation across tissues and populations remains unclear due to the difficulty of analyzing repetitive telomeric sequences. Here, we show that high-coverage whole-genome Nanopore sequencing enables robust measurement of telomere length at the level of individual chromosomes. Nanopore reads yield reproducible telomere length estimates across replicates, in contrast to PacBio HiFi reads. Across > 250 individuals from 1000 Genomes and the SMaHT projects, chromosome-specific telomere length patterns are conserved across individuals and tissues, with tissues from the same individual showing highly similar patterns. This conserved landscape suggests coordinated regulation, whose disruption may contribute to genomic instability. Nanopore sequencing also allows simultaneous detection of structural variants, including disruption of TERT and NHP2 that drive global telomere shortening. Furthermore, our quantification of telomere variant repeats in positional context indicates active telomerase-mediated elongation. Our integrated profiling of telomere length and structural variation enables inference of variant effects on chromosome-specific telomere dynamics and may uncover risk factors for short telomere syndromes and cancer. Importantly, positionally fully resolved telomeric variant repeat patterns may predict activated telomere maintenance mechanisms with high accuracy. SignificanceResolving chromosome-specific telomere length and variant-repeat architecture across tissues and individuals provides a framework to dissect coordinated telomere maintenance, its disruption by genetic variants, and how this shapes telomere mosaicism and disease risk.

genomics↗

bioRxiv2025

Single-cell chromatin landscape and DNA methylation patterns reveal shared molecular programs in human tumor and non-tumor tissue CCR8+ Treg cells

Regulatory T (Treg) cells, a subset of CD4+ T cells, play a crucial role in immunoregulation. Notably, CCR8-expressing Treg cells in tissues also contribute to organ homeostasis and repair. To determine whether these tissue-regenerative programs are active in the tumor microenvironment, we employed single-cell chromatin accessibility and genome-wide DNA methylation analyses to investigate CCR8+ tissue Treg cells isolated from human tumor and adjacent tumor-free tissues. Our findings indicate that CCR8+ tissue Treg cells from tumor and corresponding tumor-free tissues exhibit a high degree of similarity, suggesting that the tumor microenvironment may harbor highly activated tissue Treg cells. This observation was consistent across various tumor types and origins, including primary tumors and metastases. Using quantitative proteomics, we identified several candidate factors associated with the regenerative and suppressive programs of Treg cells, which may serve as potential reservoir of druggable targets for future therapeutic interventions.

immunology↗

bioRxiv2025

Somatic mutations in ALS genes in the motor cortex of sporadic ALS patients

Amyotrophic lateral sclerosis (ALS) is characterized by the progressive degeneration of cortical and spinal motor neurons. Mendelian germline mutations often cause familial ALS (fALS) but only approximately ten percent of sporadic ALS cases (sALS). We leveraged DNA and single cell RNA-sequencing data from autopsy tissue to explore the presence of somatic mosaic variants in sALS cases. Deep targeted panel sequencing of known ALS disease genes in motor cortex tissue revealed an enrichment of low allele frequency variants in sALS, but not in fALS with an identified monogenic cause. In silico analysis predicted increased pathogenicity of mosaic mutations in various known ALS mutational hot spots. In particular, we identified the somatic FUS variant p.E516X, located in an established hot spot for germline ALS mutations, which leads to nucleo-cytoplasmic mislocalization and aggregation typical for ALS FUS pathology. Additionally, we performed somatic variant calling on single cell RNA-sequencing data from sALS tissue and revealed a specific accumulation of somatic variants in excitatory neurons, reinforcing a neuron-autonomous disease initiation. Collectively, this study indicates that somatic mutations within the motor cortex, especially in excitatory neurons, may contribute to sALS development.

genetics↗

bioRxiv2024

Identification and characterization of tertiary lymphoid structures in brain metastases

Brain metastases (BrM) are the most common cancers in the brain. We performed transcriptome-wide gene expression profiling combined with spatial immune cell profiling to characterize the tumor immune microenvironment in BrM from different primary tumors. We found that BrM from lung carcinoma and malignant melanoma showed overall higher immune cell infiltration as compared to BrM from breast carcinoma. RNA sequencing-based immune cell deconvolution revealed gene expression signatures indicative of tertiary lymphoid structures (TLS) in subsets of BrM, mostly from lung cancer and melanoma. This finding was corroborated by multiplex immunofluorescence staining of immune cells in BrM tissue sections. Detection of TLS signatures was more common in treatment-naive BrM and associated with prolonged survival after BrM diagnosis in lung cancer patients. Our findings highlight the cellular diversity of the tumor immune microenvironment in BrM of different cancer types and suggest a role of TLS formation for BrM patient outcome.

cancer biology↗

bioRxiv2024

Identifying similar populations across independent single cell studies without data integration

Supervised and unsupervised methods have emerged to address the complexity of single cell data analysis in the context of large pools of independent studies. Here, we present ClusterFoldSimilarity (CFS), a novel statistical method design to quantify the similarity between cell groups acroos any number of independent datasets, without the need for data correction or integration. By bypassing these processes, CFS avoids the introduction of artifacts and loss of information, offering a simple, efficient, and scalable solution. This method match groups of cells that exhibit conserved phenotypes across datasets, including different tissues and species, and in a multimodal scenario, including single-cell RNA-Seq, ATAC-Seq, single-cell proteomics, or, more broadly, data exhibiting differential abundance effects among groups of cells. Additionally, CFS performs feature selection, obtaining cross-dataset markers of the similar phenotypes observed, providing an inherent interpretability of relationships between cell populations. To showcase the effectiveness of our methodology we generated single-nuclei RNA-Seq data from the motor cortex and spinal cord of adult mice. By using CFS, we identified three distinct sub-populations of astrocytes conserved on both tissues. CFS includes various visualization methods for the interpretation of the similarity scores and similar cell populations.

bioinformatics↗

bioRxiv2024

Identifying, Prioritizing, and Visualizing Functional Promoter SNVs with the Recurrence-agnostic REMIND-Cancer Pipeline and pSNV Hunter

Cancer is a heterogeneous disease that arises due to mutations that drive cancer progression. However, the identification of these functional mutations has typically focused only on protein-coding DNA. Among non-coding mutations, only a few have been clearly associated with cancer. We hypothesize that this gap in discovery is partly due to the limitations of current methods requiring high recurrence of mutations. To support candidate selection for experimental validation of lowly recurrent and singleton promoter mutations, new computational approaches for the integrated analysis of multi-omics data are required. To address this challenge, the REMIND-Cancer Pipeline leverages whole-genome sequencing and RNA-Seq data to extract and prioritize functional promoter mutations, regardless of their recurrence status. Subsequently, pSNV Hunter aggregates and visualizes comprehensive information for each candidate. We demonstrate the functionality of both tools by applying it to the PCAWG dataset. This workflow successfully identified and prioritized known highly-recurrent mutations, as well as, novel singletons and lowly recurrent candidates. Hence, the output of our workflow directly supports hypothesis generation for subsequent experimental validation to overcome limitations of recurrence-based approaches.

cancer biology↗

bioRxiv2024

Pyjacker identifies enhancer hijacking events in acute myeloid leukemia including MNX1 activation via deletion 7q

Acute myeloid leukemia with complex karyotype (ckAML) is characterized by high genomic complexity, including frequent TP53 mutations and chromothripsis. We hypothesized that the numerous genomic rearrangements could reposition active enhancers near proto-oncogenes, leading to their aberrant expression. We developed pyjacker, a computational tool for the detection of enhancer hijacking events, and applied it to a cohort of 39 ckAML samples. Pyjacker identified motor neuron and pancreas homeobox 1 (MNX1), a gene aberrantly expressed in 1.4% of AML patients, often as a result of del(7)(q22q36) associated with hijacking of a CDK6 enhancer. MNX1-activated cases show significant co-occurrence with BCOR mutations and a gene signature shared with t(7;12)(q36;p13) pediatric AML. We demonstrated that MNX1 is a dependency gene, as its knockdown in a xenograft model reduces leukemia cell fitness. In conclusion, enhancer hijacking is a frequent mechanism for oncogene activation in AML. Statement of significanceThis study examines the consequences of structural alterations and demonstrates that proto-oncogene activation by enhancer hijacking is an overlooked pathomechanism in AML. MNX1 overexpression demonstrates that deletions on chromosome 7q can not only lead to haploinsufficiency, but also to activation of oncogenes by enhancer hijacking, providing a novel leukemogenic mechanism.

cancer biology↗

bioRxiv2024

Quantifying immune cell telomere content at single-cell resolution in context of PD-1 checkpoint immunotherapy

Biological processes such as aging, carcinogenesis, and immune responses depend on the ability of cells to maintain or rapidly expand populations. This capacity is constrained by a cells replicative potential, which is reflected in its telomere content. Despite the central role of telomeres in cancer and immunity, their analysis at single-cell resolution across diverse cell types remains challenging. Here we show that scATAC-seq data enables quantitative telomeromics when key technical and biological confounders are accounted for. We present a computational framework that addresses read sparsity, telomere representation, and chromatin-state-dependent competition for sequencing signal, enabling robust estimation of telomere content and telomeric variant repeat composition from scATAC-seq data. By inferring global chromatin condensation directly from scATAC-seq profiles, our approach corrects for cell-cycle-associated biases while simultaneously capturing chromatin-state dysregulation in cancer. Applied to a large cancer atlas, this framework reveals patient-specific telomere maintenance phenotypes, including telomerase-associated and alternative lengthening of telomeres (ALT)-like profiles preserved across subclonal populations. Extending beyond cancer cells, we observe that telomere content in exhausted T cell subpopulations prior to immunotherapy is predictive for effective response to PD-1 checkpoint blockade. Together, these results establish scATAC-seq as a robust platform for single-cell telomeromics in cancer and immunity. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=78 SRC="FIGDIR/small/609339v2_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@4f9498org.highwire.dtl.DTLVardef@a4b787org.highwire.dtl.DTLVardef@d1e25org.highwire.dtl.DTLVardef@136196b_HPS_FORMAT_FIGEXP M_FIG C_FIG Created in BioRender. Popp, F. (2026) https://BioRender.com/mi2jove

immunology↗

bioRxiv2024

EML4-ALK variant-specific genetic interactions shape lung tumorigenesis

Oncogenic fusions of EML4 and ALK occur in [~]5% of lung adenocarcinomas. More than 15 EML4-ALK variants with distinct breakpoints within EML4 have been identified, but the functional differences between these variants remain poorly understood. Here we use CRISPR/Cas9 somatic genome editing to generate autochthonous mouse models of the two most common EML4-ALK variants, V1 and V3, and show that V3 is more oncogenic than V1. By integrating these models with multiplexed genome editing, we quantify the effects of 29 putative tumor suppressor genes on V1- and V3-driven lung cancer growth in vivo and show that many tumor suppressor genes have dramatically variant-specific effects on tumorigenesis. Analysis of a novel dataset representing the largest human EML4-ALK lung cancer cohort to date identified alterations in the genomic landscape depending on the EML4-ALK variant. These findings demonstrate functional heterogeneity among EML4-ALK variants, suggesting that EML4-ALK variants behave more like distinct oncogenes than a uniform entity. More broadly, these findings highlight the dramatic impact of oncogenic fusions partner proteins on tumor biology.

cancer biology↗

bioRxiv2024

The promoter mutation paucity as part of the dark matter of the cancer genome

Cancer is a heterogeneous disease caused by genetic alterations. Computational analysis of cancer genomes led to the expansion of the catalog of driver mutations. While individual high-impact mutations have been discovered also in gene promoters, frequency-based approaches have only characterized a few novel candidates. To investigate the promoter mutation paucity in cancer, we developed the REMIND-Cancer workflow to predict activating promoter mutations in silico, irrespective of their recurrence frequency, and applied it to the PCAWG dataset. We positively validated 7 candidates by luciferase assay including mutations within the promoters of ANKRD53 and MYB. Our analysis indicates that particular mutational signatures and necessary co-alterations constrain the creation and positive selection of functional promoter mutations. We conclude that activating promoter mutations are more frequent in the PCAWG dataset than previously observed, which has potential implications for personalized oncology.

bioinformatics↗

bioRxiv2024

Transcriptome analysis reveals a novel DNA element that may interact with chromatin-associated proteins in Plasmodium berghei during erythrocytic development

BackgroundThe life cycle of Plasmodium parasites is intricate and multistage, alternating between dynamic environments. Temporal regulation of transcription by stage-specific transcription factor binding at particular regulatory regions within gene promoters facilitates its progression. As a result, each new developmental stage is endowed with its unique gene sets, whose just-in-time expression enables the parasite to completely adapt to the necessary circumstances. Our understanding of these transcriptome-level regulatory processes is limited, and more so, a thorough examination of the entire life cycle in the experimentally tractable rodent model organism P. berghei is lacking. ResultsWe performed a genome-wide analysis of RNA-Seq data from different developmental stages of P. berghei. Integrated data from the human malaria parasites P. falciparum and P. vivax demonstrated that Plasmodium parasites have a unique transcriptional signature. We identified the sets of genes differentially expressed at each stage, clustered them based on similarities of their expression profiles, and predicted the regulatory motifs governing their expression. We interpreted the motifs using known binding sites for established eukaryotic transcription factors, including those of the ApiAP2s, and identified eight potentially novel motifs. Additionally, we expanded the annotation of another motif--AGGTAA--found in genes exclusive to erythrocytic development and identified members of the PfMORC and GCN5 complexes among its possible interacting proteins. ConclusionThis study provides new insights into gene usage and its regulation during P. berghei development.

bioinformatics↗

bioRxiv2024

Direct excitatory synapses between neurons and tumor cells drive brain metastatic seeding of breast cancer and melanoma

Interactions between neurons and cancer cells are found in many malignancies, but their relevance for metastatic organ colonization remain largely unknown. It is also unclear whether any direct synaptic communication between neurons and cancer cells of non-neural tumor types exists, and if so, whether this can support metastasis and thus cancer progression. Here we show that excitatory synapses are formed between neurons and brain-metastatic melanoma and breast cancer cells. This starts at an early microscopic stage after extravasation into the brain parenchyma, during residence of cancer cells in the perivascular niche, a critical step for their survival. These neuron-cancer synapses showed a bona fide synaptic ultrastructure, and generated excitatory postsynaptic currents mediated by glutamate receptors of the AMPA subtype in cancer cells. In accordance, AMPA receptor signatures were consistently detected in preclinical and patient samples of melanoma and breast cancer brain metastases. Genetic perturbation and pharmacological inhibition of AMPA receptors with the approved antiepileptic drug perampanel in models of breast and melanoma cancer reduced the number of brain metastases and overall brain metastatic burden. These findings demonstrate for the first time that neurons can form biologically relevant direct synapses with non-neural cancer cells. In brain metastasis, a particularly challenging complication of many common malignancies, this non-canonical stimulatory synaptic interaction offers novel therapeutic opportunities.

cancer biology↗

bioRxiv2023

Epigenetic deregulation of IFN and WNT pathways in AT2 cells impairs alveolar regeneration (in COPD)

Chronic lung diseases, including chronic obstructive pulmonary disease (COPD), affect over 500 million people and are a leading cause of death worldwide. A common feature of both chronic and acute lung diseases is altered respiratory barrier integrity and impaired lung regeneration. We hypothesized that alveolar type 2 (AT2) cells, as alveolar epithelial progenitors, will carry molecular alterations that compromise alveolar regeneration in COPD. Sorted AT2 cells from ex-smokers with and without COPD at different disease stages were subjected to RNA sequencing and whole-genome bisulfite sequencing to generate unbiased transcriptome and DNA methylation maps of alveolar progenitors in the lung. Our analysis revealed genome-wide epigenetic changes in AT2 cells during COPD that were associated with global gene expression changes. Integrative data analysis uncovered a strong anti-correlation between gene expression and promoter methylation, suggesting that dysregulation of COPD-associated pathways in AT2 cells may be regulated by DNA methylation. Interferon (IFN) signaling was the top-upregulated pathway associated with the concomitant loss of promoter DNA methylation. Epigenetic regulation of the IFN pathway was validated in both global and targeted DNA demethylation assays in A549 cells. Notably, targeted DNA demethylation of IRF9 triggered upregulation of IFN signaling, mimicking the effects observed in COPD AT2 cells in the profiling data. Our findings suggest that COPD-triggered epigenetic alterations in AT2 cells may impair internal regeneration programs in human lung parenchyma.

cell biology↗

bioRxiv2023

Stromal signals dominate gene expression signature scores that aim to describe cancer-intrinsic stemness or mesenchymality characteristics

PurposeEpithelial-to-mesenchymal transition (EMT) in cancer cells confers migratory ability, a crucial aspect of tumor metastasis that frequently leads to death. In multiple studies, authors proposed gene expression signatures for EMT, stemness, and mesenchymality (EMT-related) characteristics of tumors based on bulk tumor expression profiling. However, recent studies have suggested that non-cancerous cells in the tumor micro- or macroenvironment heavily influence individual signature profiles. Experimental DesignWe analyzed scores of 11 published and frequently referenced gene expression signatures in bulk, single cell, and pseudo bulk expression data across multiple cancer types. ResultsOur study strengthens and extends the influence of non-cancerous cells on signatures that were proposed to describe EMT-related (EMT, mesenchymal, or stemness) characteristics in various cancer types. The cell type composition, especially the amount of tumor cells, of a tumor sample frequently dominates EMT-related signature scores. Additionally, our analyses revealed that stromal cells, most often fibroblasts, are the main drivers of the EMT-related signature scores. ConclusionsWe call attention to the risk of false conclusions about tumor properties when interpreting EMT-related signatures, especially in a clinical setting: high patient scores of EMT-related signatures or calls of "stemness subtypes" often result from low tumor cell content in tumor biopsies rather than cancer cell-specific stemness or mesenchymality/EMT characteristics.

bioinformatics↗

bioRxiv2023

Multiple myeloma long-term survivors display sustained immune alterations decades after first line therapy

The long-term consequences of cancer or cancer therapy on the patients immune system years after cancer-free survival remain poorly understood. Here, we have performed an in-depth characterization of the bone marrow ecosystem of multiple myeloma long-term survivors at initial diagnosis and up to 17 years following cancer-free survival. Using comparative single-cell analyses in combination with molecular, genomic and functional approaches, we demonstrate that multiple myeloma long-term survivors display pronounced alterations in their bone marrow microenvironment associated with impaired immunity. These immunological alterations were frequently driven by an inflammatory immune circuit fueled by the long-term persistence or resurgence of residual myeloma cells. Notably, even in the complete absence of any detectable residual disease for decades, sustained changes in the immune system were observed, suggesting an irreversible immunological scarring caused by the initial exposure to the cancer and therapy. Collectively, our study provides key insights into the molecular and cellular bone marrow ecosystem of multiple myeloma long-term survivors, revealing reversible and irreversible alterations of the immune compartment, which can serve as diagnostic and predictive tools. Statement of significanceLarge-scale single-cell profiling of a unique cohort of multiple myeloma long-term survivors uncovered that exposure to cancer and its treatment causes both reversible and irreversible immune alterations associated with impaired immunity. These findings have far-reaching implications for the understanding of long-term immune alterations in cancer, which need to be considered also in the context of immune therapeutic approaches. Furthermore, our study demonstrates how cancer-associated immune trafficking can be used to predict disease re-initiation in the bone marrow, opening new avenues for minimally invasive disease monitoring.

cancer biology↗

bioRxiv2023

Immune cell type signature discovery and random forest classification for analysis of single cell gene expression datasets

BackgroundRobust immune cell gene expression signatures are central to the analysis of single cell studies. Nearly all known sets of immune cell signatures have been derived by making use of only single gene expression datasets. Utilizing the power of multiple integrated datasets could lead to high-quality immune cell signatures which could be used as superior inputs to machine learning-based cell type classification approaches. ResultsWe established a novel gene expression similarity-based workflow for the discovery of immune cell type signatures that leverages multiple datasets, here four single cell expression datasets from three different cancer types. We used our immune cell signatures to train random forest classifiers for immune cell type assignment of single-cell RNA-seq datasets. We obtained similar or better prediction results compared to commonly used methods for cell type assignment in two independent benchmarking datasets. Our gene signature set yields higher prediction scores than other published immune cell type gene sets in our random forest approach. Discussion and conclusionWe demonstrated the quality of our immune cell signatures and their strong performance in a random forest-based cell typing approach. We argue that classifying cells based on our comparably slim sets of genes accompanied by a random forest-based approach not only matches or outperforms widely used published approaches. It also facilitates unbiased downstream statistical analyses of differential gene expression between cell types for 90% of all genes whose expression profiles have not been used for cell type classification.

genomics↗