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Braun, M.

Publications and source records attributed to Braun, M..

At least 19 recordsLinked to original sources

Probing the sequence variability tolerance in a de novo α-helical barrel biocatalyst

De novo-designed enzymes have recently achieved high catalytic activity and stereoselectivity while demonstrating exceptional thermostability in entirely novel protein scaffolds. Among these, -helical barrel protein scaffolds are attractive structures for biocatalysis due to their structural simplicity, high thermostability, and rationalizable sequence patterning. However, enabling major structural reengineering of these scaffolds while maintaining the structure, stability and catalytic activity while also improving soluble protein production remain major challenges and pose the fundamental question how engineerable a de novo backbone-sequence pair is. Here, we combine deep learning based and classic computational protein design to modify and optimize de novo -helical barrel biocatalysts. Using the previously reported six-helical barrel 6H5L as a model scaffold, AlphaFold2-guided RosettaRemodel enabled the design of a truncated variant, whose crystal structure closely matches the design model. Additional sequence-redesign using ProteinMPNN generated a variant with a tenfold increase of soluble protein yield in Escherichia coli. Biochemical, biophysical, and structural analyses showed that both variants retained the overall barrel architecture, high thermal stability, and catalytic activity for both purified protein and whole-cell systems. Detailed kinetic analysis on the variants showed both variation in kcat and Km, reflecting changes in catalytic turnover and substrate binding. Together, these approaches provide new insights and possibilities for the further engineering of functional de novo -helical barrels, their ability to withstand dramatically large sequence changes and their broader application in biocatalysis and biotechnology.

biochemistry↗

Surface-induced tau condensation generates a selective microenvironment around microtubules

Tau is a neuron-specific microtubule-associated protein that can self-associate into pathological insoluble aggregates or phase separate into condensates whose (patho)physiological role is debated. Recent studies suggest that intracellular surfaces can locally promote biomolecular condensation, even at low molecular concentrations. While microtubules in neurons provide an abundant tau-interaction surface, their role in tau phase separation remains unclear. Through a dialogue between experiments and theory, we demonstrate that tau forms multilayered condensates on microtubules at physiological concentrations via a prewetting-like transition. Concomitant tau-microtubule and tau-tau interactions explain the experimentally observed cooperative binding of the innermost tau layer directly adsorbed to the microtubule. The formation of this layer is dictated by the spacing of tubulin dimers within the microtubule lattice. Additional tau layers, driven by tau-tau interactions and independent of lattice spacing, are finite in thickness and unstable away from the microtubule surface. While the microtubule-adsorbed tau can selectively restrict proteins from the microtubule surface, the multilayered tau condensates can recruit tau interactors, such as RNA or soluble tubulin, highlighting the distinct roles of the condensate layers. Our results suggest that a prewetting-like transition constitutes a general physical mechanism for organizing liquid-like biomolecular layers of defined composition on charged intracellular surfaces.

biophysics↗

Reduced antibiotic effect of ciprofloxacin on bacteria in the presence of montmorillonite

Antibiotic residues exceeding selective concentrations for antibiotic-resistant bacteria have been detected in various environments, including manure, wastewater, and effluents from wastewater treatment plants. When these residues come into contact with soils, for instance, due to wastewater irrigation or fertilization with manure, they interact with soil constituents. Soil colloids (1-1000 nm), such as montmorillonite, have been observed to adsorb pharmaceuticals, including antibiotics. We investigated the effect of colloids on the bioavailability of ciprofloxacin and found, that added to bacterial growth medium, montmorillonite reduces, but does not completely prevent, the growth-inhibitory effect of the antibiotic. The bacteria were able to grow at up to roughly double the concentration of ciprofloxacin in the presence of montmorillonite. We show that the incomplete deactivation of ciprofloxacin was most probably caused by medium components that decreased the adsorption of ciprofloxacin to montmorillonite. We conclude that a selective potential of this highly active antibiotic in contaminated soils, which also contain nutrients enabling bacterial growth, cannot be ruled out. Environmental implicationAntibiotics such as ciprofloxacin are frequently detected in water bodies and soils due to wastewater irrigation or manure application. These residues raise concerns about environmental toxicity and antibiotic resistance. This study demonstrates that montmorillonite, a common clay mineral in soils, significantly reduces the antimicrobial efficacy of environmental ciprofloxacin concentrations by sorption. The findings reveal a natural attenuation mechanism that may influence the environmental fate and bioavailability of antibiotics. Understanding such interactions is critical for predicting antibiotic behavior in terrestrial systems and for designing more accurate environmental risk assessments.

microbiology↗

Wastewater and colloidal extracts of wastewater-irrigated soils select for resistant Acinetobacter baylyi beyond what measured antibiotic concentrations predict

Numerous studies have shown that the abundance of antibiotic-resistant bacteria (ARBs) or antibiotic-resistance genes (ARGs) in soil increases after irrigation with wastewater. However, it is unclear whether this increase is due to the selection effects of pharmaceutical residues in the irrigation water or the continuous introduction of ARBs and ARGs with the wastewater. Further, it is unclear how the binding of antibiotics to natural colloids (1-1000 nm) affects their biological effects compared to truly dissolved substances (< 1 nm). We conducted competition experiments with resistant and susceptible Acinetobacter baylyi BD413 strains in wastewater, as well as in colloidal and truly dissolved extracts of soils irrigated with wastewater. Although the concentrations of our six target antibiotics were far below the measured minimum selective concentrations of the tested strains, we demonstrate that the resistant strain was favored in the wastewater and the colloidal extracts. In contrast, the truly dissolved fractions exhibited weaker and more variable selective effects. A non-targeted analysis revealed the presence of 82 additional substances in our extracts, including further antibiotics, pesticides, and different non-antibiotic drugs that may influence the selection of our resistant A. baylyi BD413 strain. Our findings suggest that antibiotic resistance is selected for in wastewater and wastewater-irrigated soils. This cannot be explained by antibiotic concentrations alone, but may also arise from the effects of complex mixtures of co-occurring contaminants, particularly those associated with colloidal particles.

microbiology↗

Immunological Differences in Atopic Dermatitis Across Age Groups: Insights from Single-Cell Multi-Omics

BackgroundAtopic dermatitis (AD) occurs across all ages but presents distinct clinical and immunologic features between children, adults, and older adults. The molecular programs underlying these age-specific immune differences remain poorly understood. MethodsWe performed single-cell multi-omics profiling of peripheral blood mononuclear cells (PBMCs) from 29 AD patients and 29 matched healthy controls (HC), spanning pediatric (0-17 years), adult (18-59 years), and geriatric ([&ge;]60 years) groups. Using Cellular Indexing of Transcriptomes and Epitopes by sequencing (CITE-seq), we simultaneously quantified transcriptomic (RNA) and surface proteomic (ADT) profiles across [~]280,000 immune cells. Integrated analyses identified 30 immune subsets for cell-type proportion and differential expression analyses. Machine-learning classifiers were trained on significant gene and protein features to distinguish AD subgroups by age. ResultsCompared with HC, AD blood showed enrichment of CD14+ monocytes, plasmacytoid dendritic cells, and CD4+ proliferating T cells. Within AD, pediatric patients had increased {gamma}{delta} T cells, naive CD4+, and naive CD8+ T cells, while geriatric patients exhibited more CD4+ cytotoxic and CD8+ central memory T cells, indicating a shift from naive to effector predominance with aging. Transcriptomic and proteomic analyses revealed distinct programs: pediatric AD was enriched for IL-10 and cytokine-cytokine receptor signaling; adult AD demonstrated activation of metabolic and nuclear factor kappa-light-chain-enhancer of activated B cells (NF-{kappa}B)/Th1/Th17 pathways; and geriatric AD exhibited reduced adaptive immune activity but increased innate signaling. Machine-learning models based on differentially expressed genes and proteins accurately classified AD age groups (transcript-based F1 = 0.70, AUC = 0.79), identifying stable markers such as IRF2, PDK4, ZFP90, CD21, CD94, and CD122. ConclusionsSingle-cell multi-omics profiling revealed immune differences across the AD lifespan, transitioning from developmental tolerance in children to inflammatory and metabolic activation in adults to enhanced innate signaling in geriatric individuals. These findings highlight molecular signatures that could support age-specific diagnostics and therapeutic strategies for AD across the lifespan.

immunology↗

An atlas of microtubule lattice parameters regulated through ligand binding to the microtubule stabilizing sites.

Microtubules (MTs) are dynamic cytoskeletal polymers whose lattice architecture regulates force generation, nucleotide hydrolysis, and recognition by motor proteins and microtubule-associated proteins (MAPs). Microtubule-stabilizing agents (MSAs), including taxanes and laulimalide/peloruside-site ligands, suppress depolymerization by binding to defined lattice sites, yet stabilization is not structurally neutral. How ligand chemistry reshapes lattice organization and function remains unresolved. Here, we address three mechanistic questions. First, do distinct ligand classes induce defined lattice states? Using X-ray fiber diffraction, we show that MSAs selectively stabilize two preferred longitudinal conformations, a compact state ([~]4.06 nm monomer rise) and an expanded state ([~]4.17 nm), while modulating lateral organization reflected in shifts in mean MT radius. These axial spacings cluster around discrete values across chemotypes, indicating stabilization of pre-existing conformational minima rather than continuous distortion. Second, are these states interconvertible upon changes in ligand occupancy? Time-resolved diffraction reveals that longitudinal transitions occur within seconds of ligand addition even at substoichiometric occupancy; whereas, lateral equilibration proceeds slower, consistent with redistribution within heterogeneous protofilament organizations. Third, do such structural states alter nucleotide hydrolysis and motor/MAP behavior? Expanded lattices are associated with reduced apparent GTP hydrolysis rates under steady-state assembly conditions and altered kinesin motility, whereas compact lattices preferentially promote tau binding and distinct motor interaction profiles. Together, these findings establish longitudinal lattice conformation as a regulatory parameter and position microtubule-stabilizing agents as chemical tools that bias a dynamic structural landscape with predictable catalytic and transport consequences. Significance statementMicrotubules generate force and support intracellular transport through lattice geometries selectively recognized by motor proteins and microtubule-associated proteins. Microtubule-stabilizing drugs such as taxanes and epothilones are widely used in chemotherapy but can cause neurotoxicity, likely because stabilization alters lattice architecture rather than simply preventing depolymerization. Here, we show that stabilizing ligands bias microtubules between two preferred longitudinal conformations, compact and expanded, that can switch within seconds of binding, while lateral organization adjusts slower. These structural states differentially regulate GTP hydrolysis and recognition by tau and kinesin, linking lattice geometry to catalytic and transport functions. By establishing lattice conformation as a tunable regulatory parameter, this work provides a framework for interpreting drug effects and designing structure-selective stabilizers with improved therapeutic profiles.

biophysics↗

Dissecting structural and functional determinants of microtubule stabilization through guided chemical modulation

Paclitaxel (PTX) is a widely used chemotherapeutic, but its efficacy is limited by peripheral neuropathy, likely due to its structural impact on neuronal microtubules (MTs). To decouple MT stabilization from adverse structural changes, we designed, synthetized and characterized several PTX analogues. Our compound 1b retains PTXs stabilizing activity in vitro and in cells, and the 1b-bound MTs preserve a native-like structure. These facts allowed us to investigate the influence of specific MT structural features on motor proteins behavior and interaction with MT-associated protein Tau. PTX-induced lattice expansion disrupted dynein-mediated retrograde transport and altered kinesin-1 motility. Additionally, PTX reduced Taus initial non-cooperative binding and envelopes growth rate while increasing dwell time and suppressing dynamic binding. In contrast, 1b preserved more physiological Tau dynamics. These findings reveal that MT stabilization and structural modulation can be separated and highlight the functional importance of MT heterogeneity in maintaining neuronal transport and MAP interactions.

molecular biology↗

From Smartphone Images to Musculoskeletal Models: Personalized Inertial Parameter Estimation

Every human body is different, however, current movement analysis does not reflect that, as it heavily relies on generic musculoskeletal models. Usually, these models are scaled to match the participants body segment lengths and body weight, but not taking individual body shape into account. This can lead to errors in the estimation of joint forces and torques, which are important to accurately estimate musculoskeletal variables. Thus, we developed a method to estimate body segment inertial parameters based on body hulls acquired via smartphone pictures. From the body hull, we infer the skeletal shape and pose, and then estimate the distribution of bone, lean, and fatty tissues. We then segment the body hull and assign each tissue type a density, which is used to calculate the body segment inertial parameters. To allow for the use of our method with existing data, we also introduce two new generic musculoskeletal models, which are based on the average standing body shapes. Validation using MRI-derived ground-truth models shows that our method creates participant-specific musculoskeletal models that are closer to the MRI-derived ground truth than scaled generic models. Additionally, we performed lab-based gait experiments to evaluate the effect of our method on residual forces and joint moments, where we found that our method leads to a reduction of residual forces of up to 14.9 % and a reduction of metabolic cost of up to 12.8 % when compared to generic musculoskeletal models. Our new generic models show similar joint moment outcomes, but less reduction of residual forces than the personalized models.

bioengineering↗

CladeOScope-GSA: A Tool for Predicting Functional Gene Interactions via Phylogenetic Profiling

Understanding gene function and protein network dynamics is a key challenge in biology and human health. In the light of the exponential growth in genomic data, phylogenetic profiling methods became more powerful in analysing thousands of genomes to uncover evolutionary associations and predict functional interactions [1,2,4,13,14,16,18,23,24,26]. It is based on the well-supported hypothesis that genes that work together are subject to similar evolutionary pressures and therefore their conservation patterns across phylogeny are correlated. We introduce CladeOScope-GSA, a web-based tool designed for phylogeny-aware analysis of gene sets across extensive comparative genomics datasets. By integrating clade-focused normalized phylogenetic profiling (NPP) with interactive visualization, CladeOScope-GSA enables researchers to identify evolutionary patterns within user-defined gene sets. Building upon the infrastructure of the original CladeOScope visualization platform, the addition of statistical gene set analysis, expanded phylogenetic and genomic data, enhanced visualization, and improved statistical tools represent a significant advancement in the tools capabilities. We demonstrate its utility through case studies spanning 1905 species, showcasing how CladeOScope-GSA empowers researchers to extract biological insights from complex comparative datasets. The web tool is accessible at https://tabachlab.shinyapps.io/CladeOScope

evolutionary biology↗

AquIRE reveals multiple mechanisms of clinically induced RNA damage and the conservation and dynamics of glycoRNAs

RNA is subject to many modifications, from small chemical changes such as methylation through to conjugation of biomolecules such as glycans. As well as these endogenously written modifications, RNA is also exposed to damage induced by its environment. Certain clinical compounds are known to drive covalent modifications of RNA with a growing appreciation for how these affect function. To understand the regulation of these modifications we need a reliable, sensitive and rapid methodology for their quantification. Thus, we developed AquIRE and applied it to the analysis of drug-induced RNA damage, showing this to be widespread with intricate temporal dynamics. Using the same methodology we identify RNA:protein crosslinking and the rewriting of the epitranscriptome as a consequence of clinical RNA damage. We also demonstrate how liquid-liquid phase separation increases RNA damage and expand the horizons of the glycoRNA world across the kingdoms of life and into cell-free glycoRNA.

molecular biology↗

Tubulin isotypes polymerise into sectioned microtubules that locally regulate protein binding

Microtubules assemble from tubulin heterodimers composed of conserved - and {beta}- tubulins. In many species, including humans, tubulins are expressed from multiple genes. While the resulting tubulin isotypes show only subtle sequence differences, microtubules made of distinct isotypes can differ in their dynamic behaviour, as well as in their structure, for example in the number of their protofilaments. In cells, tubulin isotypes co-polymerize into mixed-isotype microtubules. How the mixing of tubulin isotypes affects microtubule functionality is unknown. Here we show that co-polymerization of recombinant tubulin dimers containing two different human {beta}-tubulin isotypes, 1{beta}3 and 1{beta}4, generates sectioned microtubules in which tubulin content and protofilament number differ from one section to the next. We demonstrate that two microtubule-associated proteins (MAPs), TPPP1 and optineurin (OPTN), bind differentially to these sections. Microtubules grown from natively mixed-isotype sources, either HeLa cells or mammalian brain tissue, also consist of sections that are differentially recognized by TPPP1 and OPTN, suggestive of isotype sorting. Our results demonstrate that co-polymerization of multiple tubulin isotypes can drive microtubules to assemble into distinct sections that locally regulate the interactions of MAPs with the microtubule lattice.

cell biology↗

Cell-free Reconstitution Reveals Synergistic Stabilization of Microtubule Doublets by PACRG and FAP20

Ciliary microtubule doublets, consisting of an incomplete B-tubule on the surface of a complete A-microtubule, form the fundamental structural framework of motile and sensory cilia/flagella. Ciliary proteins PACRG and FAP20, which are essential for flagellar stability and function, localize to the junction between the A-and the B-tubule. However, their precise role in microtubule doublet assembly and dynamics remains unknown. Here, using a cell-free assay, TIRF-microscopy, and cryo-electron tomography, we demonstrate that in combination PACRG and FAP20 stabilize B-tubule dynamics and microtubule doublet architecture. We show that together these proteins localize to the B-tubules in distinct, high-density patches, which locally stabilize B-tubule by decreasing its depolymerization velocity and increasing its rescue frequency. Cryo-tomography of in vitro reconstructed microtubule doublets in presence of PACRG and FAP20 reveals reduced B-tubule curvature fluctuations, promoting a more rigid and aligned conformation. Altogether, our findings suggest that PACRG and FAP20 function synergistically to reinforce microtubule doublet stability, ensuring ciliary integrity and function.

cell biology↗

Modeling metabolic disease susceptibility and resilience in genetically diverse mice

Model organisms have provided critical insights into the basic biology of metabolic disorders, however, one of the greatest limitations to translation has been the absence of the genetic heterogeneity that is characteristic of human populations. We examined metabolic health across three genetically diverse mouse strains fed control (low fat, no sucrose) or unhealthy (high fat, high sucrose) diets and observed a wide range of metabolic responses from overt type 2 diabetes in NZO/HlLtJ mice, to obesity and glucose intolerance in C57BL/6J mice, to complete resilience in CAST/EiJ mice. Analysis of multi-tissue gene expression revealed strain- and tissue-specific responses to diet, with strongest responses in white adipose tissue and pancreatic islets. In pancreatic islets, diet response was limited to just NZO mice, which showed high levels of inflammation and associated {beta} cell dysfunction. Adipose tissue was responsive to diet across all three strains and revealed both common and strain-specific changes in inflammatory and metabolic pathways. Using a complementary outbred mouse resource, we mapped genetic loci associated with strain-specific diet responses, including a monocyte regulatory locus on mChr19. This multi-strain approach to modeling metabolic disease revealed a prominent role of white adipose tissue and lipid-associated inflammation in the determination of individual disease risk in response to unhealthy diets.

physiology↗

Anillin directly cross-links microtubules with filamentous actin

Complex morphogenetic processes such as cell division require a tight coordination of the activities of microtubules and actin filaments. There is evidence that anillin, conventionally known as an actin-binding and bundling protein, regulates microtubule-actin crosstalk during cell division. However, it is unknown whether anillin binds directly to microtubules and whether it is sufficient to establish crosslinking between microtubules and actin filaments. Here we address both questions by developing an in-vitro system to observe anillin-mediated interactions with actin filaments and dynamic microtubules using total internal reflection fluorescence microscopy. We find that anillin can interact directly with microtubules and promote microtubule bundling. We confirm that anillin binds and bundles actin filaments and find that it has a strong preference for actin bundles over individual filaments. Moreover, we show that anillin can directly crosslink microtubules and actin filaments, can cause sliding of actin filaments on the microtubule lattice, and can transport actin filaments by the growing microtubule tip. Our findings indicate that anillin can potentially serve as a direct regulator of microtubule-actin crosstalk, e.g. during cell division.

biophysics↗

Aquaporin-4 mis-localization slows glymphatic clearance of α-synuclein and promotes α-synuclein pathology and aggregate propagation

The appearance of misfolded and aggregated proteins is a pathological hallmark of numerous neurodegenerative diseases including Alzheimers disease and Parkinsons disease. Sleep disruption is proposed to contribute to these pathological processes and is a common early feature among neurodegenerative disorders. Synucleinopathies are a subclass of neurodegenerative conditions defined by the presence of -synuclein aggregates, which may not only enhance cell death, but also contribute to disease progression by seeding the formation of additional aggregates in neighboring cells. The mechanisms driving intercellular transmission of aggregates remains unclear. We propose that disruption of sleep-active glymphatic function, caused by loss of precise perivascular AQP4 localization, inhibits -synuclein clearance and facilitates -synuclein propagation and seeding. We examined human post-mortem frontal cortex and found that neocortical -synuclein pathology was associated with AQP4 mis-localization throughout the gray matter. Using a transgenic mouse model lacking the adapter protein -syntrophin, we observed that loss of perivascular AQP4 localization impairs the glymphatic clearance of -synuclein from intersititial to cerebrospinal fluid. Using a mouse model of -synuclein propogation, using pre-formed fibril injection, we observed that loss of perivascular AQP4 localization increased -synuclein aggregates. Our results indicate -synuclein clearance and propagation are mediated by glymphatic function and that AQP4 mis-localization observed in the presence of human synucleinopathy may contribute to the development and propagation of Lewy body pathology in conditions such as Lewy Body Dementia and Parkinsons disease. SummaryIn a human postmortem case series, we observe that neocortical Lewy body pathology is associated with mis-localization of the astroglial water channel aquaporin-4 (AQP4). In mice, -synuclein is cleared from the brain along perivascular pathways, while loss of perivascular AQP4 localization impairs glymphatic -synuclein clearance to the CSF. Furthermore, loss of perivascular AQP4 localization promotes the development and propagation of -synuclein aggregates.

neuroscience↗

Computational design of highly active de novo enzymes

Enzymes are broadly used as biocatalysts in industry and medicine due to their coverage of vast areas of chemical space, their exquisite selectivity and efficiency as well as the mild reaction conditions at which they operate. Custom designed enzymes can produce tailor-made biocatalysts with potential applications extending beyond natural reactions. However, current design methods require testing of high numbers of designs and mostly produce de novo enzymes with low catalytic activities. As a result, they require costly experimental optimization and high-throughput screening to be industrially viable. Here we present rotamer inverted fragment finder-diffusion (Riff-Diff), a hybrid machine learning and atomistic modelling strategy for scaffolding catalytic arrays in de novo proteins. We highlight the general applicability of Riff-Diff by designing enzymes for two mechanistically distinct chemical transformations, the retro-aldol reaction and the Morita-Baylis-Hillman reaction. We show that in both cases it is possible to generate catalysts exhibiting activities rivalling those optimized by in-vitro evolution, along with exquisite stereoselectivity. High resolution structures of six of the designs revealed an angstrom level of active site design precision. The design strategy can, in principle, be applied to any catalytically competent amino acid constellation. These findings enable the practical applicability of de novo protein catalysts in synthesis and shed light on fundamental principles of protein design and enzyme catalysis.

biochemistry↗

Optineurin-facilitated axonal mitochondria delivery promotes neuroprotection and axon regeneration

Optineurin (OPTN) mutations are linked to amyotrophic lateral sclerosis (ALS) and normal tension glaucoma (NTG), but a relevant animal model is lacking, and the molecular mechanisms underlying neurodegeneration are unknown. We found that OPTN C-terminus truncation (OPTN{Delta}C) causes late-onset neurodegeneration of retinal ganglion cells (RGCs), optic nerve (ON), and spinal cord motor neurons, preceded by a striking decrease of axonal mitochondria. Surprisingly, we discover that OPTN directly interacts with both microtubules and the mitochondrial transport complex TRAK1/KIF5B, stabilizing them for proper anterograde axonal mitochondrial transport, in a C- terminus dependent manner. Encouragingly, overexpressing OPTN/TRAK1/KIF5B reverses not only OPTN truncation-induced, but also ocular hypertension-induced neurodegeneration, and promotes striking ON regeneration. Therefore, in addition to generating new animal models for NTG and ALS, our results establish OPTN as a novel facilitator of the microtubule-dependent mitochondrial transport necessary for adequate axonal mitochondria delivery, and its loss as the likely molecular mechanism of neurodegeneration.

neuroscience↗

Somatic epimutations enable single-cell lineage tracing in native hematopoiesis across the murine and human lifespan

Current approaches to lineage tracing of stem cell clones require genetic engineering or rely on sparse somatic DNA variants, which are difficult to capture at single-cell resolution. Here, we show that targeted single-cell measurements of DNA methylation at single-CpG resolution deliver joint information about cellular differentiation state and clonal identities. We develop EPI-clone, a droplet-based method for transgene-free lineage tracing, and apply it to study hematopoiesis, capturing hundreds of clonal trajectories across almost 100,000 single-cells. Using ground-truth genetic barcodes, we demonstrate that EPI-clone accurately identifies clonal lineages throughout hematopoietic differentiation. Applied to unperturbed hematopoiesis, we describe an overall decline of clonal complexity during murine ageing and the expansion of rare low-output stem cell clones. In aged human donors, we identified expanded hematopoietic clones with and without genetic lesions, and various degrees of clonal complexity. Taken together, EPI-clone enables accurate and transgene-free single-cell lineage tracing at scale.

genomics↗