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Beyer, A.

Publications and source records attributed to Beyer, A..

At least 19 recordsLinked to original sources
bioRxiv2026

Rare genetic variants in the IIS/mTOR signalling pathway identified in exceptionally long-lived individuals show shared in vitro effects associated with lifespan across species

BackgroundThe increase in human lifespan without a proportional increase in healthspan imposes a substantial burden on individuals and society. Exceptionally long-lived individuals and members of long-lived families exhibit compression of multi-morbidity. Genetics, and in particular rare protein-altering variants, appear to play an important role in their longevity. MethodsIn this study, we employed a targeted pathway approach to provide functional evidence of the significance of rare variants in the insulin/insulin-like growth factor 1 signalling - mechanistic target of rapamycin (IIS/mTOR) signalling pathway identified in long-lived individuals. To this end, we used CRISPR/Cas9 to introduce these rare genetic variants into mouse embryonic stem cells (mESCs). We subsequently assessed several functional readouts that have previously been associated with lifespan regulation in model organisms and/or IIS/mTOR and mitogen-activated protein kinase/extracellular signal-regulated kinase (MAPK/ERK) signalling pathway activity. ResultsFunctional characterisation revealed that the variants exhibit both shared and distinct effects on the signalling pathways. Principal component analysis of omics-based datasets showed that the variants clustered into two groups, a distribution that corresponds with the grouping observed for a subset of functional readouts. All variant mESC lines exhibited a downregulation in IIS/mTOR and MAPK/ERK signalling pathway activity as well as an increase in Foxo3 expression and FOXO3 binding activity. We identified alterations in lipid and mitochondrial metabolism, including a reduction in mitochondrial DNA levels, which were mostly shared among all variants. All variant mESC lines exhibited a signature implying increased pluripotency. The effects on stress resistance and growth rate diverged between the two variant groups, with partially opposing effects. Group 1 demonstrated a reduced growth rate and increased resistance to a subset of stressors, while Group 2 demonstrated an increased growth rate and reduced resistance to a subset of stressors. ConclusionsHere, we provide evidence that rare genetic variants in the IIS/mTOR and MAPK/ERK signalling pathways identified in long-lived human individuals result in shared functional effects associated with longevity in model organisms. These insights can serve as a foundation to better understand the role of rare variants in the insulin signalling network in the regulation of human longevity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=68 SRC="FIGDIR/small/728260v1_ufig1.gif" ALT="Figure 1"> View larger version (18K): org.highwire.dtl.DTLVardef@1ef36c3org.highwire.dtl.DTLVardef@1f44c96org.highwire.dtl.DTLVardef@1d0150forg.highwire.dtl.DTLVardef@16ab7d_HPS_FORMAT_FIGEXP M_FIG C_FIG

genetics↗
bioRxiv2026

First evaluation of a human DPP4 transgenic hamster model for MERS-CoV pathogenesis and transmission

MERS-CoV poses a constant pandemic risk, as its viral lineages continue evolving, and zoonotic spillover events could lead to random viral polymorphisms that might lead to human adapted variants. Currently, no small animal model reliably recapitulates both disease progression and transmission dynamics, which are critical aspects for counter-viral measures like vaccine development. Although the Syrian hamster is an optimal animal model for SARS-CoV-2 infection and transmission, it is naturally resistant to MERS-CoV infection. Dipeptidyl peptidase-4 (DPP4) is the functional receptor for MERS-CoV infection, and is highly expressed in human kidney, intestine, liver, and lung tissues. Here, we evaluated the suitability of a human DPP4 (hDPP4) transgenic Syrian hamster model for MERS-CoV research. We used two different MERS-CoV strains (EMC/2012 and D10540/2023) for intranasal inoculation of hamsters. Both strains replicated efficiently, led to comparable severe clinical outcomes, and had similar viral transmission efficiencies. MERS-CoV RNA and nucleoprotein antigen were mainly detected in the brain and the respiratory tract. In summary, we validated a novel hDPP4-transgenic hamster as a suitable model for MERS-CoV infection enabling vaccine and transmission research.

microbiology↗
bioRxiv2026

Modulation of the RNAse P/MRP complex and mitochondrial ribosome enhances cytosolic ribosome coordination and sustains longevity

Aging is accompanied by a progressive decline in protein synthesis and ribosome abundance, yet paradoxically, genetic or pharmacological attenuation of translation extends lifespan across species. Whether the age-associated decline in translation is adaptive or reflects a pathological failure of ribosome homeostasis remains unclear. Here, we show that shortened lifespan is driven by dysregulated ribosome biogenesis (RiBi) and impaired ribosome assembly. Using Caenorhabditis elegans ncl-1 loss-of-function mutants as a model of accelerated aging, we find that nucleolar enlargement coincides with decoupling of precursor and mature rRNA, ribosomal protein (RP) transcripts, and protein abundance, loss of RP stoichiometry, defective ribosomal subunit joining, and compromised proteostasis. Strikingly, lifespan can be restored downstream of the nucleolus by targeting either the RNAse P/MRP complex or the mitochondrial ribosome. These interventions rebalance mature rRNA and RP abundance, improve ribosomal assembly, and reduce protein aggregation despite persistent nucleolar enlargement and elevated pre-rRNA levels. Our findings identify accelerated age-associated ribosome dysfunction as a qualitative failure of ribosomal biogenesis, and demonstrate that restoring ribosomal homeostasis is sufficient to improve proteostasis and extend lifespan.

cell biology↗
bioRxiv2025

A century-old museum sample reveals abandavirus with modern day presence in northernEuropean bats

Ancient genome sequences provide invaluable insights into the origin and evolution of viral pathogens, offering a broader temporal perspective that extends well beyond the limited timespan of clinical data, which typically covers at most a few decades. Whereas ancient viral DNA is relatively frequently recovered, ancient viral RNA genomes are scarce due to the fragile nature of RNA molecules. In this study, we explored the feasibility of detecting ancient viral RNA in ethanol-preserved bat samples from a museum collection. We not only detected viral genome fragments but also recovered the coding-complete genome of a bandavirus (species Bandavirus zwieselense, family Phenuiviridae, order Hareavirales, class Bunyaviricetes) from a Common pipistrelle (Pipistrellus pipistrellus) bat collected in northern Germany in 1919. To investigate the modern distribution of Bandavirus zwieselense, we screened bat organs collected in Germany and the Netherlands via RT-qPCR, identifying modern counterparts in nine Common Pipistrelle (P. pipistrellus) bats (collected between 2010 and 2018), and one Serotine bat (Eptesicus serotinus, collected in 1999). The resulting genomic data enabled us to map phylogenetic relationships within this previously uncharacterized virus species (Bandavirus zwieselense) and estimate the timeframe for the most recent common ancestor. Additionally, we performed functional analysis of the S segment encoded nonstructural (NSs) protein of Bandavirus zwieselense in human HEK-293T cells, demonstrating its ability to block interferon induction, a characteristic also observed in the related human-pathogenic Severe fever with thrombocytopenia syndrome virus (SFTSV, species Bandavirus dabieense). This study demonstrates the feasibility of recovering and characterizing viral genomes from ethanol-preserved ancient RNA material, underscoring the significant potential of museum collections to contribute to the understanding of RNA virus evolution.

microbiology↗
bioRxiv2025

Single-Cell Resolution of Cellular Damage Illuminates Disease Progression

Degenerative diseases feature progressive accumulation of cellular damage, leading to impaired organ function. Capturing such gradual decline of individual cells in vivo remains challenging. Here, we present a universal framework for quantifying damage at single-cell resolution, to uncover molecular trajectories of degeneration. This method enables the detection of progressive damage within cell populations under physiological and pathological conditions. We developed the Podocyte Damage Score (PDS) and Hepatocyte Damage Score (HDS) to monitor deterioration in kidney glomerulosclerosis and liver steatosis. The application of these scores to murine and human datasets quantified cellular damage across disease models and distinguished varying degrees of damage even in unperturbed samples. The PDS revealed circadian gene expression dysregulation as a consequence of podocyte injury, while the HDS identified a threshold of hepatocyte damage leading to senescence and metabolic dysfunction. The approach provides a scalable tool for decoding disease progression and identifying therapeutic targets across degenerative disorders.

bioinformatics↗
bioRxiv2025

Esophageal adenocarcinoma relapse after chemoradiation is dominated by a basal-like subtype

Neoadjuvant chemoradiation therapy (RCT) is a frequently used treatment regimen for esophageal adenocarcinoma (EAC); however, the response varies dramatically, and resistance is a clinical challenge. We aimed to identify the molecular mechanisms underlying RCT resistance. We established a mouse xenograft RCT model with human EAC cell lines representing different response groups, and tested enhanced genomic instability as a potential evolutionary modulator by reducing BRCA2 function. Xenografts that relapsed after RCT displayed upregulation of stress response keratins, including KRT6 and KRT16 connected with a basal-like transcriptomic/ proteomic phenotype. We screened our cohort of 728 patients with EAC and found significantly shorter overall survival for patients with KRT6-high tumors, driven by patients receiving neoadjuvant treatment. Overall, we identified a basal-like cell state in EAC that reflects RCT relapse. The basal-like subtype is a marker of treatment failure, providing a new avenue for translational research to overcome RCT resistance.

cancer biology↗
bioRxiv2024

Gene expression adaptation of metastases to their host tissue

The adaptation of metastatic cells to their host tissue critically determines the pathogenicity of a cancer and therefore patient survival. Yet, it remains elusive to what extent the host environment drives gene expression programs in metastatic cells. Here we identify adaptive mechanisms that enable metastases to establish themselves in a novel tissue context. We performed single-cell RNA-sequencing on malignant and benign tissue samples from untreated donors with colorectal adenocarcinoma and liver metastasis to deduce tissue adaptive expression patterns. A novel computational approach identified genes and pathways that consistently adapted to the host tissue at the transition from the primary tumor to the paired metastasis across donors. This analysis revealed that the majority of expression changes in the metastasis reflect an expression signature reminiscent of benign liver epithelial cells. Cellular processes adapting to the liver environment include basic cellular functions such as energy metabolism, as well as tissue-specific pathways such as the regulation of lipid metabolism by PPAR-. These adaptations potentially increase the pathogenicity of the metastatic cells and may provide new therapeutic strategies.

cancer biology↗
bioRxiv2024

A combination of the geroprotectors trametinib and rapamycin is more effective than either drug alone

Genetic suppression of activity of the insulin/IGF/mTORC1/Ras network can ameliorate the effects of ageing in animals. The network provides multiple drug targets because of its role in metabolic disease and cancer, and these are candidates for repurposing for geroprotection. For instance, inhibition of the activity of the mTORC1 complex by rapamycin can extend lifespan in multiple organisms including mice, with early indications of efficacy in humans. Trametinib inhibits MEKs in the Ras pathway and can extend lifespan in Drosophila. However, it is not yet known if trametinib alone or in combination with rapamycin can extend mouse lifespan or improve health at older ages. We assessed survival and health indices of female and male mice treated with trametinib or rapamycin alone, or with the two in combination at the same doses. Trametinib treatment extended lifespan in both sexes, while its combination with rapamycin caused further, additive prolongation. Combination treatment reduced liver tumours in both sexes and spleen tumours in males, and ameliorated the age-related increase in brain glucose uptake. There was a striking reduction in inflammation in the brain, kidney, spleen and muscle with combination treatment, accompanied by reduced circulating levels of pro-inflammatory cytokines. Trametinib alone is therefore geroprotective in mice, but combined trametinib and rapamycin treatment is more geroprotective than treatment with either drug alone, suggesting immediate translational potential for humans.

physiology↗
bioRxiv2024

Enhancing the biological insight from limited proteolysis-coupled mass spectrometry

Limited proteolysis combined with mass spectrometry (LiP-MS) facilitates probing structural changes on a proteome-wide scale in situ. Distinguishing the different signal contributions, such as changes in protein abundance, from protein abundance changes remains challenging. We propose a two-step approach, first removing unwanted variations from the LiP signal that are not caused by protein structural effects and subsequently inferring the effects of variables of interest on the remaining signal. Using LiP-MS data from three species we demonstrate that our framework provides a uniquely powerful approach for deconvolving LiP-MS signals and inferring protein structural changes.

bioinformatics↗
bioRxiv2024

Efficient Generation of Human Pluripotent Stem Cells from Frozen Cord Tissue via Chemical Reprogramming

Chemical reprogramming presents an innovative approach for generating induced pluripotent stem cells (iPSCs), bypassing the genetic instability and safe concern associated with viral vector approach. We describe a novel, efficient chemical method for reprogramming human umbilical cord tissue-derived mesenchymal stem cells (MSCs) into induced pluripotent stem cells (iPSCs). Compared to previous sources like adipose tissue and skin, frozen umbilical cord tissue offers an abundant, non-invasive, long-term storable, and ethically sound cell source. Our findings not only showcase the feasibility and safety of utilizing chemical reprogramming on cells from frozen umbilical cords but also underscore its potential in regenerative medicine, especially for developing safer and more effective therapies for cardiovascular diseases.

cell biology↗
bioRxiv2024

A VHL-1/HIF-1/SQRD1/COL-88 axis links extracellular matrix formation with longevity in Caenorhabditis elegans

The extracellular matrix (ECM) is a pivotal three-dimensional network crucial for tissue organization, cellular communication, and fundamental cellular processes, where collagens are the major chemical entity in amount. ECM deregulation is directly involved with several pathologies, such as tumour growth and invasiveness, atherosclerosis, and diabetic nephropathy. Mutations in the von Hippel-Lindau tumour suppressor (pVHL) cause VHL syndrome, a multi-tumour syndrome commonly associated with clear cell renal carcinoma (ccRCC). Loss of pVHL is associated with the activation of hypoxia-inducible factor (HIF) signaling. Mutation of VHL-1 in the nematode Canorhabditis elegans has been shown to increase lifespan and stress resistance. Interestingly, considering recent findings on the involvement of collagens in the regulation of lifespan, we also observed these animals to show defects in body morphology in a HIF-1 dependent manner. Based on this finding, we established a link between HIF-1 activation upon loss of VHL-1 and ECM defects associated with alterations in collagen expression. An RNAi screen examining genes upregulated in vhl-1 mutant worms revealed the sulfide quinone oxidoreductase sqrd-1 to mediate the change in body morphology. SQRD-1 is essential to the HIF-1 dependent increase in several collagen genes. One of these genes, col-88, partly mediates both the impact of loss of VHL-1 on lifespan extension and body length. The downregulation of the uncharacterised col-88 partially restores lifespan extension and reduces body size of vhl-1/sqrd-1 to vhl-1(ok161) single mutant. This study contributes to the increasing body of evidence linking lifespan extension and the ECM and now implicates this axis in hypoxia-signaling. These findings are of special interest considering the role of ECM integrity in tumour growth and metastasis. Author SummaryThe extracellular matrix and its composing collagens are associated with a wide number of diseases, including cancer. The von Hippel-Lindau tumour suppressor (pVHL) is known to work by regulating the Hypoxia Inducible Factor (HIF) to help the organism to adapt to lack of oxygen. Mutations in pVHL are associated with clear cell renal carcinoma (ccRCC). Interestingly, a small number of studies have shown that pVHL can be directly associated with collagens, a function that is independent of its classical role regulating HIF. However, there is no further knowledge about which role the hypoxia pathway has when it comes to extracellular matrix formation and function, what would be useful since the invasiveness of cancers, such as ccRCC, are directly connected to their matrix/collagen composition. Here we observed that the model organism C. elegans has drastically different collagen composition and body size upon a mutation on its vhl-1 gene. Furthermore, a protein previously only known to be involved in sulfide metabolism, SQRD-1, connects body size and lifespan in this animal model, revealing a surprising link between the hypoxia pathway and sulfur metabolism to control lifespan. Further studies could target sulfur metabolism in ccRCC to modulate collagen production and tumour invasiveness.

genetics↗
bioRxiv2023

Rapid and synchronous chemical induction of replicative-like senescence via a small molecule inhibitor

Cellular senescence is now acknowledged as a key contributor to organismal ageing and late-life disease. Although popular, the study of senescence in vitro can be complicated by the prolonged and asynchronous timing of cells committing to it and its paracrine effects. To address these issues, we repurposed the small molecule inhibitor inflachromene (ICM) to induce senescence to human primary cells. Within six days of treatment with ICM, senescence hallmarks, including the nuclear eviction of HMGB1 and -B2, are uniformly induced across IMR90 cell populations. By generating and comparing various high throughput datasets from ICM-induced and replicative senescence, we uncovered significant similarity of the two states. Notably though, ICM suppresses the proinflammatory secretome associated with senescence, thus alleviating most paracrine effects. In summary, ICM induces a senescence-like phenotype rapidly and synchronously thereby allowing the study of its core regulatory program without any confounding heterogeneity.

genomics↗
bioRxiv2023

Proteomic-based stratification of intermediate-risk prostate cancer patients

Gleason grading is an important prognostic indicator for prostate adenocarcinoma and is crucial for patient treatment decisions. However, intermediate-risk patients diagnosed in Gleason Grade Groups (GG) 2 and GG3 can harbour either aggressive or non-aggressive disease, resulting in under- or over-treatment of a significant number of patients. Here, we performed proteomic, differential expression, machine learning, and survival analyses for 1,348 matched tumour and benign sample runs from 278 patients. Three proteins (F5, TMEM126B and EARS2) were identified as candidate biomarkers in patients with biochemical recurrence. Multivariate Cox regression yielded 18 proteins, from which a risk score was constructed to dichotomise prostate cancer patients into low- and high-risk groups. This 18-protein signature is prognostic for the risk of biochemical recurrence and completely independent of the intermediate GG. Our results suggest that markers generated by computational proteomic profiling have the potential for clinical applications including integration into prostate cancer management.

cancer biology↗
bioRxiv2022

Large-scale changes of molecular network states explain complex traits

The complexity of many cellular and organismal traits results from poorly understood mechanisms integrating genetic and environmental factors via molecular networks. Here, we show when and how genetic perturbations lead to molecular changes that are confined to small parts of a network versus when they lead to large-scale adaptations of global network states. Integrating multi-omics profiling of genetically heterogeneous budding and fission yeast strains with an array of cellular traits identified a central state transition of the yeast molecular network that is related to PKA and TOR (PT) signaling. Genetic variants affecting this PT state globally shifted the molecular network along a single-dimensional axis, thereby modulating processes including energy- and amino acid metabolism, transcription, translation, cell cycle control and cellular stress response. We propose that genetic effects can propagate through large parts of molecular networks because of the functional requirement to centrally coordinate the activity of fundamental cellular processes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=69 SRC="FIGDIR/small/519111v1_ufig1.gif" ALT="Figure 1"> View larger version (16K): org.highwire.dtl.DTLVardef@18d3323org.highwire.dtl.DTLVardef@1185111org.highwire.dtl.DTLVardef@17238c7org.highwire.dtl.DTLVardef@1edc6e6_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract:C_FLOATNO Genetic variants directly or indirectly affecting the activity of PKA and/or TOR signaling cause global changes of transcriptomic and proteomic network states by modulating the activity of diverse cellular functions and network modules. Using marker genes acting downstream of PKA and TOR signaling we are able to quantify the activity status of combined PKA and TOR signaling (PT Score). This PT Score correlates with major transcriptomic and proteomic changes in response to genetic variability. Those large-scale molecular adaptations correlate with and explain phenotypic consequences for multiple cellular traits. Variants affecting the stoichiometry of proteins within a specific module have regional effects that remain confined to smaller parts of the molecular network. Variants affecting only one or very few proteins change molecular networks only locally. The global reorganization of network states caused by variants of the first type result in consequences for many cellular traits (i.e. pleiotropic effects), such as growth on different carbon sources, stress response, energy metabolism and replicative lifespan. (Created with BioRender.com) C_FIG

systems biology↗
bioRxiv2022

Predicting murine age across tissues and cell types using single cell transcriptome data

Molecular aging clocks utilize high-dimensional profiling data to predict the chronological or biological age of individuals. While this approach has proven successful across a wide range of species and tissues, the potential of using single-cell molecular profiling data for age prediction remains to be fully explored. Here, we demonstrate that aging clocks based on single-cell RNA-sequencing (scRNA-seq) data enable studying aging effects for different cell types in the same organ and for similar cell types across organs. We utilize mouse single-cell RNA-Seq data to train molecular aging clocks that distinguish between cells of young and old mice using two models: a first model trained specifically to predict the age of B cells and a second one predicting age across 70 cell types from 14 tissues. We evaluated Elastic Net regression and two tree-based machine learning methods, Random Forest and XGBoost, as well as three distinct methods of transforming the measured gene expression values. Our models proved to be transferable to independent individuals and tissues that were not used for model training, reaching an accuracy of over 90%. A single-cell molecular aging clock trained on B cells from the spleen was capable of correctly classifying the age of almost 95% of all B cells in different organs. This finding suggests common molecular aging processes for B cells, independent of their site of residence. Further, our aging models identified several aging markers involved in translation and formation of the cytoskeleton, suggesting that these fundamental cellular processes are affected by aging independent of the cell type. Beyond showing that it is possible to train highly accurate and transferable models of aging on single-cell transcriptomics data, our work opens up the possibility of studying global as well as cell-type-specific effects of age on the molecular state of a cell. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=154 SRC="FIGDIR/small/512922v3_ufig1.gif" ALT="Figure 1"> View larger version (29K): org.highwire.dtl.DTLVardef@10d62aaorg.highwire.dtl.DTLVardef@1c89cfaorg.highwire.dtl.DTLVardef@1ba2093org.highwire.dtl.DTLVardef@b0ab5f_HPS_FORMAT_FIGEXP M_FIG C_FIG

bioinformatics↗
bioRxiv2022

No evidence that synonymous mutations in yeast genes are mostly deleterious

In a recent paper1, Shen et al. reported that most mutations in the coding regions of 21 yeast genes were strongly deleterious, and that the distributions of fitness effects were similar for synonymous and nonsynonymous mutations. Taken at face value, these results would conflict with well-established findings from a broad range of fields and approaches. Here, we argue that these results arose from a lack of appropriate controls for the impacts of background genetic effects in edited strains. A re-examination of the data in Shen et al. strongly suggests that it is entirely consistent with the expectation that most nonsynonymous and nearly all synonymous mutations have no detectable effects on fitness. We present analyses which show that the data is inconsistent with the proposed explanation that pervasive fitness effects of synonymous mutations arise from their effects on mRNA levels, that the sequence-based fitness assay overestimates fitness effects compared to the growth-based fitness assay, and that the observed wide fitness distributions for nonsense mutations are consistent with off-target effects or other uncontrolled sources of biological variation contributing to measured fitness. We conclude by discussing the essential controls and other experimental design considerations that are required to produce interpretable results regarding the fitness effects of mutations in large-scale screens.

genetics↗
bioRxiv2022

Determining probabilities of HIV-1 bNAb development in healthy and chronically infected individuals

HIV-1 broadly neutralizing antibodies (bNAbs) are able to suppress viremia and prevent infection. Their induction by vaccination is therefore a major goal. However, in contrast to antibodies that neutralize other pathogens, HIV-1-specific bNAbs frequently carry uncommon molecular characteristics that might prevent their induction. Here, we performed unbiased sequence analyses of B cell receptor repertoires from 57 healthy and 46 chronically HIV-1- or HCV-infected individuals and learned probabilistic models to predict the likelihood of bNAb development. We formally show that lower probabilities for bNAbs are predictive of higher HIV-1 neutralization activity. Moreover, ranking of bNAbs by their probabilities allowed to identify highly potent antibodies with superior generation probabilities as preferential targets for vaccination approaches. Importantly, we found equal bNAb probabilities across infected and healthy donors. This implies that chronic infection is not a prerequisite for the generation of bNAbs, fostering the hope that HIV-1 vaccines can induce bNAb development in healthy individuals. Significance StatementWhile HIV-1 broadly neutralizing antibodies (bNAbs) can develop in chronically HIV-1-infected individuals, they could not yet be elicited by active vaccination. Here, we computationally demonstrate that HIV-1 bNAbs carry distinct sequence features making them unlikely outcomes of the antibody evolution. However, our approach allowed us to identify bNAbs with higher probabilities of being generated. These candidates can now serve as the most promising targets to be induced by vaccination. Moreover, we show that chronic infection has no influence on the probabilities of finding typical bNAb sequence features in the memory B cell compartment. Both findings are critical to design effective vaccination strategies.

immunology↗