Biology subjects

Schaefer, T.

Publications and source records attributed to Schaefer, T..

13 recordsLinked to original sources

bioRxiv2026

Intraindividual longitudinal changes of the proteome reveal dynamic markers of biological aging

Proteomic aging clocks have emerged as biomarkers of aging, but most rely on cross-sectional data. Here, we present a proteomic aging clock based on longitudinal measurements of liquid chromatography-mass spectrometry plasma proteomics at up to three time points in the population-based KORA cohort, comprising 9,105 samples from 4,100 individuals in the final dataset aged 25-88 years. The model predicts chronological age and yields a measure of proteomic age acceleration associated with lifestyle and clinical risk factors. Risk factor-stratified analyses reveal shared proteomic signatures among cardiometabolic exposures and distinct signatures for smoking and physical activity. Within individuals, dyslipidemia and impaired kidney function track transitions to increases in age acceleration, while higher age acceleration is associated with increased all-cause mortality. Mediation analysis suggests that risk factors are linked to mortality indirectly through age acceleration. Affected proteins and pathways highlight extracellular matrix remodeling, complement and coagulation pathways, and liver-derived plasma proteins as key contributors to aging. Mendelian randomization identifies proteins with evidence consistent with a causal role in aging-related traits. Together, these findings are consistent with biological aging being dynamically responsive to changes in modifiable risk factors.

bioinformatics↗

bioRxiv2026

Pan-cancer discovery of driver mutations in long noncoding RNAs reveals widespread functional rewiring of RNA regulatory elements

Most somatic mutations in cancer occur outside protein-coding genes, yet the functional impact of these mutations remains largely unknown. Long noncoding RNAs (lncRNAs) represent a major class of cancer-promoting genes whose molecular mechanisms are poorly understood. While individual driver mutations in lncRNAs have been identified, detecting such driver lncRNAs at scale requires large tumour genome cohorts. We analyse 12,631 cancer genomes from the 100,000 Genomes Project (100kGP) and identify 121 lncRNAs under positive selection across 19 cancer types. These driver lncRNAs are independently supported by functional genomic screens, germline predisposing variants, mutual exclusivity with protein-coding drivers, and independent oncogenic lncRNA catalogues. Overall, approximately two-thirds of analysed tumours harbour at least one lncRNA driver mutation. Leveraging the depth of this dataset, we demonstrate that somatic mutations preferentially target and remodel RNA-binding protein (RBP) interaction sites to potentiate oncogenic lncRNAs, including MALAT1, SNHG14 and NEAT1. From these data, we derive a model in which somatic mutations liberate oncogenic lncRNAs from repressive RNA:protein interactions. This work expands the number and nature of cancer driver genes, identifies targets for RNA-directed therapies, and demonstrates that with large tumour mutation catalogues we can dissect the molecular mechanisms of noncoding genes.

Cancer Biology↗

bioRxiv2026

Molecular mechanism of M1-mediated influenza A virus assembly

Influenza A virus assembly is orchestrated by matrix protein 1 (M1), which engages ribonucleoproteins, mediates glycoprotein incorporation, and scaffolds lipid envelopment, but how these activities are performed and coordinated is unclear. We determined high-resolution structures of M1 within virions, virus-like particles, and in vitro. We found that M1 binds phosphatidylinositol 4,5-bisphosphate at the membrane, oligomerizes through an electrostatic interface, and switches between three alternative conformational states in different regions of the virion. The M1 conformer at the front associates with ribonucleoproteins and initiates budding. In the body of the virion, two conformers alternate to create an extended filament with seam-like discontinuities. Enrichment of the seam-prone conformation at the virion rear induces envelope closure and exposes a binding site for the cytoplasmic tail of neuraminidase (NA) to promote virus release. Conformational switching within a polarized M1 lattice thereby couples organization of the viral components with shaping of the virion architecture.

microbiology↗

bioRxiv2026

NLRP3 acts as a direct sensor of intracellular potassium ions

The NLRP3 inflammasome is a sentinel of cellular homeostasis, and its activation triggers the assembly of a molecular machinery that drives inflammation in infection, cardiovascular, metabolic, and neurodegenerative diseases. The majority of the many triggers known to activate NLRP3 are believed to induce potassium ion (K+) efflux from the cell as a fundamental danger signal for compromised cellular integrity. However, it has remained unclear how a reduction in intracellular K+ concentration is mechanistically translated into conformational changes in NLRP3 that promote inflammasome assembly, interleukin (IL)-1 release, and cell death. Here, we provide evidence that alterations in K+ levels directly regulate the conformation of the NLRP3 protein. In cell-free lysates derived from cell lines and primary blood immune cells high K+ concentrations stabilized a compact, protease-resistant structure resembling inhibitor-bound NLRP3, whereas low K+ conditions or the presence of a K+ chelator favored an open, more flexible and protease-accessible conformation. Notably, human NLRP3 remained responsive to K+ even when exogenously expressed in macrophage-like Drosophila cells or purified as recombinant protein. This indicates that K+ sensing occurs independently of cellular co-factors and is consistent with direct ion coordination. Of note, stimulation with the K+-independent NLRP3 agonist CL097 failed to recapitulate the conformational transition caused by K+ efflux inducer, nigericin. Moreover, pathogenic gain-of-function mutant variants of NLRP3 constitutively resembled the open and flexible protease-accessible conformation. Mapping K+-interactions by high-performance computation suggested that K+ ions populate the nucleotide binding pocket of the FISNA-NACHT module of individual NLRP3 chains but also stabilize face-to-face interactions within inactive oligomeric cage assemblies via the NACHT-adjacent acidic loop. Collectively, our findings enable us to propose a mechanistic model of how intracellular K+ ions preclude NLRP3 activation prior to efflux and thus how NLRP3 responds to cellular danger as a direct K+ sensing protein.

immunology↗

bioRxiv2026

Source-independent enrichment of light lanthanides: microbial mobilization, selective uptake, and intracellular storage

Poorly soluble lanthanide minerals pose challenges for both a sustainable extraction of lanthanides as key resources for decarbonization and lanthanide-dependent microbial metabolism. Microbial use of lanthanides is widespread, yet bacterias preference for light lanthanides requires differentiation mechanisms that enable downstream utilization. Whether lanthanide discrimination occurs during access, mobilization, uptake, or intracellular processing is mostly unknown and likely controlled by habitat and bioavailability. We studied microbial lanthanide mobilization and uptake from different lanthanide minerals, an alloy, and pure lanthanide compounds. Beijerinckiaceae bacterium RH AL1 served as a model organism for an integrated approach combining transcriptomics, analytics, and electron microscopy. This facultative methylotroph depends on light lanthanides for methanol oxidation and forms periplasmic lanthanide deposits. AL1 grew with all tested lanthanide sources and selectively enriched light lanthanides independent of source type, overall lanthanide content, and the proportion of light lanthanides. Transcriptomics revealed that the type of lanthanide source significantly influenced gene expression beyond lanthanide utilization. Lanthanide discrimination in Beijerinckiaceae bacterium RH AL1 is a multilayered process rooted in the complementary action of chelation, uptake mechanisms, and periplasmic storage. Adaptations that increase lanthanide bioavailability transform mineral-bound lanthanides into shared resources within microbial communities, with implications for sustainable lanthanide use.

microbiology↗

bioRxiv2024

Temporal control of acute protein aggregate turnover by UBE3C and NRF1-dependent proteasomal pathways

A hallmark of neurodegenerative diseases is the progressive loss of proteostasis, leading to the accumulation of misfolded proteins or protein aggregates, with subsequent cytotoxicity. To combat this toxicity, cells have evolved degradation pathways (ubiquitin-proteasome system and autophagy) that detect and degrade misfolded proteins. However, studying the underlying cellular pathways and mechanisms has remained a challenge, as formation of many types of protein aggregates is asynchronous, with individual cells displaying distinct kinetics, thereby hindering rigorous time-course studies. Here, we merge a kinetically tractable and synchronous agDD-GFP system for aggregate formation with targeted gene knockdowns, to uncover degradation mechanisms used in response to acute aggregate formation. We find that agDD-GFP forms amorphous aggregates by cryo-electron tomography at both early and late stages of aggregate formation. Aggregate turnover occurs in a proteasome-dependent mechanism in a manner that is dictated by cellular aggregate burden, with no evidence of the involvement of autophagy. Lower levels of misfolded agDD-GFP, enriched in oligomers, utilizes UBE3C-dependent proteasomal degradation in a pathway that is independent of RPN13 ubiquitylation by UBE3C. Higher aggregate burden activates the NRF1 transcription factor to increase proteasome subunit transcription, and subsequent degradation capacity of cells. Loss or gain of NRF1 function alters the turnover of agDD-GFP under conditions of high aggregate burden. Together, these results define the role of UBE3C in degradation of this class of misfolded aggregation-prone proteins and reveals a role for NRF1 in proteostasis control in response to widespread protein aggregation.

cell biology↗

bioRxiv2024

Systems Neuroscience Computing in Python (SyNCoPy): A Python Package for Large-scale Analysis of Electrophysiological Data

We introduce an open-source Python package for the analysis of large-scale electrophysiological data called SyNCoPy, for Systems Neuroscience Computing in Python. The package includes signal processing analyses across time (e.g. time-lock analysis), frequency (e.g. power spectrum), and connectivity (e.g. coherence) domains. It enables user-friendly data analysis on both laptop-based and high-performance computing systems. SyNCoPy is designed to facilitate trial-parallel workflows (parallel processing of trials) making it an ideal tool for large-scale analysis of electrophysiological data. Based on parallel processing of trials, the software can support very large-scale datasets via innovative out-of-core computation techniques. It also provides seamless interoperability with other standard software packages through a range of file format importers and exporters and open file formats. The naming of the user functions closely follows the well-established FieldTrip framework, which is an open-source Matlab toolbox for advanced analysis of electrophysiological data.

neuroscience↗

bioRxiv2024

An evolutionary-conserved VPS34-PIKfyve-TRPML1-Myosin II axis regulates the speed of amoeboid cell migration

Amoeboid cell migration is key to efficient T cell immunity. Spatial polarization of organelles within cells, including endo-lysosomes, is a prerequisite of migration. However, how ultrastructural polarization is linked to the signaling requirements governing T cell migration, remains unknown. Here we show that signaling molecules generated by endo-lysosome-localized kinases regulate velocity of amoeboid migration. Specifically, imaging of T cells identified accumulation of endo-lysosomes decorated with the lipid kinases VPS34-PIKfyve at the uropod of polarized cells. Activity of VPS34 and PIKfyve regulated speed, but not directedness, of migrating T cells. Mechanistically, PI(3,5)P2 generated by the sequential action of VPS34 and PIKfyve mediated Ca2+ efflux from lysosomes via the mucolipin TRP cation channel 1 (TRPML1), thus controlling activity of myosin IIA and hence the generation of propulsive force through retrograde actin flow. The VPS34-PIKfyve kinases also regulated velocity of myeloid cells, as well as of the amoeba Dictyostelium discoideum - establishing the axis as an evolutionary conserved speed control system of amoeboid cell migration. Graphical AbstractO_LIThe VPS34-PIKfyve axis is active on endo-lysosomes at the uropod of migrating T cells. C_LIO_LIVPS34 and PIKfyve promote myosin IIA activation and retrograde action flow. C_LIO_LIAmoeboid cell migration speed is controlled by VPS34 and PIKfyve via TRPML1. C_LIO_LIRegulation of amoeboid migration speed is a conserved function of the VPS34-PIKfyve axis. C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=83 SRC="FIGDIR/small/575998v1_ufig1.gif" ALT="Figure 1"> View larger version (27K): org.highwire.dtl.DTLVardef@1b70e64org.highwire.dtl.DTLVardef@111d052org.highwire.dtl.DTLVardef@83bc24org.highwire.dtl.DTLVardef@b51931_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2024

Chronic exposure to glucocorticoids amplifies inhibitory neuron cell fate during human neurodevelopment in organoids

Disruptions in the tightly regulated process of human brain development have been linked to increased risk for brain and mental illnesses. While the genetic contribution to these diseases is well established, important environmental factors have been less studied at molecular and cellular levels. In this study, we used single-cell and cell-type-specific techniques to investigate the effect of glucocorticoid (GC) exposure, a mediator of antenatal environmental risk, on gene regulation and lineage specification in unguided human neural organoids. We characterized the transcriptional response to chronic GC exposure during neural differentiation and studied the underlying gene regulatory networks by integrating single-cell transcriptomics-with chromatin accessibility data. We found lasting cell type-specific changes that included autism risk genes and several transcription factors associated with neurodevelopment. Chronic GCs influenced lineage specification primarily by priming the inhibitory neuron lineage through key transcription factors like PBX3. We provide evidence for convergence of genetic and environmental risk factors through a common mechanism of altering lineage specification.

neuroscience↗

bioRxiv2021

Excitatory/inhibitory imbalance in autism: the role of glutamate and GABA gene-sets in symptoms and cortical brain structure

BackgroundThe excitatory/inhibitory (E/I) imbalance hypothesis posits that an imbalance between excitatory (glutamatergic) and inhibitory (GABAergic) mechanisms underlies the behavioral characteristics of autism spectrum disorder (autism). However, how E/I imbalance arises and how it may differ across autism symptomatology and brain regions is not well understood. MethodsWe used innovative analysis methods - combining competitive gene-set analysis and gene-expression profiles in relation to cortical thickness (CT)- to investigate the relationship between genetic variance, brain structure and autism symptomatology of participants from the EU-AIMS LEAP cohort (autism=360, male/female=259/101; neurotypical control participants=279, male/female=178/101) aged 6 to 30 years. Competitive gene-set analysis investigated associations between glutamatergic and GABAergic signaling pathway gene-sets and clinical measures, and CT. Additionally, we investigated expression profiles of the genes within those sets throughout the brain and how those profiles relate to differences in CT between autistic and neurotypical control participants in the same regions. ResultsThe glutamate gene-set was associated with all autism symptom severity scores on the Autism Diagnostic Observation Schedule-2 (ADOS-2) and the Autism Diagnostic Interview-Revised (ADI-R) within the autistic group, while the GABA set was associated with sensory processing measures (using the SSP subscales) across all participants. Brain regions with greater gene expression of both glutamate and GABA genes showed greater differences in CT between autistic and neurotypical control participants. ConclusionsOur results suggest crucial roles for glutamate and GABA genes in autism symptomatology as well as CT, where GABA is more strongly associated with sensory processing and glutamate more with autism symptom severity.

neuroscience↗

bioRxiv2020

fsbrain: an R package for the visualization ofstructural neuroimaging data

SummaryWe introduce fsbrain, an R package for the visualization of neuroimaging data. The package can be used to visualize vertex-wise and region-wise morphometry data, parcellations, labels and statistical results on brain surfaces in three dimensions (3D). Voxel data can be displayed in lightbox mode. The fsbrain package offers various customization options and produces publication quality plots which can be displayed interactively, saved as bitmap images, or integrated into R notebooks. Availability and ImplementationThe software, source code and documentation are available under the MIT license at https://github.com/dfsp-spirit/fsbrain. Releases can be installed directly from the Comprehensive R Archive Network (CRAN). Contacttim.schaefer@kgu.de

neuroscience↗

bioRxiv2019

Amyloid-like aggregates cause lysosomal defects in neurons via gain-of-function toxicity

The autophagy-lysosomal pathway is impaired in many neurodegenerative diseases characterized by protein aggregation, but the link between aggregation and lysosomal dysfunction remains poorly understood. Here, we combine cryo-electron tomography, proteomics and cell biology studies to investigate the effects of protein aggregates in primary neurons. We use artificial amyloid-like {beta}-sheet proteins ({beta} proteins) to focus on the gain-of-function aspect of aggregation. These proteins form fibrillar aggregates and cause neurotoxicity. We show that late stages of autophagy are impaired by the aggregates, resulting in lysosomal alterations reminiscent of lysosomal storage disorders. Mechanistically, {beta} proteins interact with and sequester AP-31, a subunit of the AP-3 adaptor complex involved in protein trafficking to lysosomal organelles. This leads to destabilization of the AP-3 complex, missorting of AP-3 cargo, and lysosomal defects. Restoring AP-31 expression ameliorates neurotoxicity caused by {beta} proteins. Altogether, our results highlight the link between protein aggregation and neurotoxicity, pointing to lysosomes as particularly vulnerable organelles.

cell biology↗

bioRxiv2017

Bioinformatics analysis quantifies neighborhood preferences of cancer cells in Hodgkin lymphoma.

MotivationHodgkin lymphoma is a tumor of the lymphatic system and represents one of the most frequent lymphoma in the Western world. It is characterized by Hodgkin cells and Reed-Sternberg cells, which exhibit a broad morphological spectrum. The cells are visualized by immunohistochemical staining of tissue sections. In pathology, tissue images are mainly manually evaluated, relying on the expertise and experience of pathologists. Computational quantification methods become more and more essential to evaluate tissue images. In particular, the distribution of cancer cells is of great interest.\n\nResultsHere, we systematically quantified and investigated cancer cell properties and their spatial neighborhood relations by applying statistical analyses to whole slide images of Hodgkin lymphoma and lymphadenitis, which describes a non-cancerous inflammation of the lymph node. We differentiated cells by their morphology and studied the spatial neighborhood relation of more than 400,000 immunohistochemically stained cells. We found that, according to their morphological features, the cells exhibited significant preferences for and aversions to cells of specific profiles as nearest neighbor. We quantified differences between Hodgkin lymphoma and lymphadenitis concerning the neighborhood relations of cells and the sizes of cells. The approach can easily be applied to other cancer types.\n\nContactina.koch@bioinformatik.uni-frankfurt.de

bioinformatics↗