Search bioRxiv⌕ Search

Biology subjects

Rost, F.

Publications and source records attributed to Rost, F..

16 recordsLinked to original sources
bioRxiv2026

Stemness overcomes IFNγ-induced antitumour exhaustion in human macrophages

Macrophages hold great promise for antitumour therapies (1-4), particularly owing to their ability to infiltrate solid tumours (5). Yet therapeutic success has been limited (6,7), because macrophages exhibit rapid exhaustion of antitumorigenic activity in the tumour (5,8,9). Here, we induced a stem-like self-renewal programme in human induced pluripotent stem cell (iPSC)-derived macrophages by deleting the self-renewal restricting transcription factors MAFB and MAF (MAF-DKO). Human MAF-DKO macrophages showed activated stem cell signatures, increased clonogenicity and proliferative potential. Increased self-renewal capacity was accompanied by enhanced mitochondrial fitness and invigorated energy metabolism. Importantly, these stemness features prevented exhaustion, cellular aging-associated parameters and loss of energy efficiency that are typically associated with proinflammatory macrophage activation. In addition, activated MAF-DKO macrophages showed a broad loss of IFN{gamma}-triggered immunosuppressive pathways (10,11), induced a super-activated state with robust cytotoxic activity and resisted exhaustion upon tumour cell exposure. Consequently, activated MAF-DKO macrophages showed intratumoral persistence with a stable antitumoral phenotype in vivo, conferred robust reduction of tumour burden and extended survival of tumour-bearing mice. Together, this demonstrates that the induction of stemness in human macrophages can overcome critical roadblocks of antitumour therapy by conferring resistance to activation-triggered exhaustion of antitumour activity in the TME.

immunology↗
bioRxiv2026

Endogenous SMN Heterogeneity Defines Dynamic States of Motor Neuron Vulnerability and Resilience

Selective neuronal vulnerability, whereby some neurons degenerate while others remain resilient despite a shared genetic and disease context, is a defining feature of neurodegenerative diseases, yet the intrinsic mechanisms underlying these divergent fates remain poorly understood. Here, we identify naturally occurring heterogeneity in endogenous Survival Motor Neuron (SMN) protein abundance as a determinant of dynamic motor neuron (MN) vulnerability states that predict neuronal fate. Longitudinal live-cell imaging of human SMN-Clover reporter MNs shows that neurons with high endogenous SMN survive significantly longer than neighboring low-SMN neurons across healthy, spinal muscular atrophy (SMA) and amyotrophic lateral sclerosis (ALS) genetic backgrounds. These vulnerability states are not fixed: a substantial proportion of MNs progressively increase endogenous SMN abundance, transitioning toward a more resilient state associated with enhanced survival. Low-SMN neurons also exhibit increased spontaneous activity, linking endogenous SMN abundance to neuronal physiology and survival. In vivo, selectively vulnerable MN populations display corresponding shifts in endogenous SMN abundance during disease progression, supporting the relevance of SMN-defined vulnerability states beyond in vitro models. Integrated transcriptomic and proteomic analyses reveal distinct molecular programs associated with resilient and vulnerable states, including RNA metabolism, proteostasis, cytoskeletal organization, neuronal activity and stress responses. Among conserved molecular differences, the anti-apoptotic regulator LMO3 emerged as a candidate mediator of resilience. LMO3 overexpression reduced expression of p53-responsive genes, increased MN survival and shifted neurons toward higher endogenous SMN states. Together, these findings establish endogenous protein heterogeneity as a determinant of dynamic neuronal vulnerability and reveal neuronal resilience as a plastic molecular state that can be identified and therapeutically reinforced.

neuroscience↗
bioRxiv2026

Transplanted human photoreceptors differentially survive, incorporate, and mature in mildly and severely degenerated mouse retinae

Photoreceptor transplantation is considered a disease-agnostic therapeutic strategy for retinal degenerative diseases with highly heterogenous genetic, molecular, and cellular pathologies. While integration of human photoreceptors enriched from stem cell-derived retinal organoids was noted in previous preclinical studies, the potential influence of retinal degeneration severity on transplantation efficiency has not been systematically assessed. Here, we employed mice presenting mild or severe retinal degeneration as recipients for human induced pluripotent stem cell-derived photoreceptors. Donor cells formed multi-cellular clusters that structurally integrated from 3 weeks post-transplantation (wpt) in mildly degenerated retinas, closely interacting with host Muller glia, resulting in proper maturation characterized by inner/outer segment and synapse formation by 26 wpt. In contrast, in severely degenerated hosts, donor photoreceptors remained mainly singularized and scattered in the subretinal space, showing limited structural integration or signs of maturation. Differential maturation of donor cells in mild vs. severe hosts was confirmed by single-cell RNA-sequencing analysis. However, transplantation at the beginning of the degeneration process of the severe model allowed structural integration and maturation of donor photoreceptors, despite complete loss of endogenous photoreceptors over time. The study thus shows that survival, integration, and maturation of donor photoreceptors depend on the degenerative retinal microenvironment shaping significantly transplantation efficiency.

neuroscience↗
bioRxiv2025

Collective Gene Expression Fluctuations Encode the Regulatory State of Cells

Gene expression is inherently stochastic, leading to substantial cell-to-cell variability in mRNA and protein abundances. Variability in the expression of individual genes has been associated both with impaired signal processing and with facilitation of stress responses and differentiation. Here, combining machine learning, theory, and analysis of scRNA-seq data across various organisms and tissues, we show that variability in gene expression can be coordinated cell-wide. We define a statistical score that quantifies this coordination in single-cell data and demonstrate that distinct coordination patterns reflect the regulatory state of cells. We further develop a physics-informed machine-learning framework that identifies and predicts such variability patterns. Coordinated gene-expression variability emerges as a hallmark of stem and progenitor cells and distinguishes intrinsic stochasticity from cell-population heterogeneity. Together, our results establish the structure of gene expression variability as a cellular-scale signature of cell identity and regulatory organization.

biophysics↗
bioRxiv2024

Synchronous 3D patterning of diverse CNS progenitors generates motor neurons of broad axial identity

In vitro human organoid models have become transformative tools for studying organogenesis, enabling the generation of spinal cord organoids (SCOs) that mimic aspects of spinal cord biology. However, current models do not produce spinal motor neurons (spMNs) with a wide range of axial identities along spinal cord segments within a single structure, limiting their utility in understanding human neural axial specification and the selective vulnerability of spMN subpopulations in motor neuron diseases. Here, we present a novel approach to enhance spMN axial heterogeneity in an advanced SCO model derived from neural stem cells (NSCs) and retinoic acid (RA)-primed neuromesodermal progenitors (NMPs). RA priming guided NMP differentiation into caudal neural progenitors, generating SCOs enriched in spMNs with posterior axial identities. To further diversify spMN populations, we optimized differentiation by synchronously patterning NSCs with RA-primed NMPs. Incorporating an endothelial-like network and skeletal muscle cells enhanced the organoids physiological complexity and neural maturation and organoid cell viability. This comprehensive approach, termed CASCO, provides a robust platform to study human spMN specification and model neurodegenerative diseases.

neuroscience↗
bioRxiv2024

Transcriptional landscapes underlying Notch-induced lineageconversion and plasticity of mammary basal cells

The mammary epithelium derives from multipotent mammary stem cells (MaSCs) that progressively restrict their potency and engage into lineage commitment during embryonic development. Although postnatal mammary progenitors are lineage-restricted and unipotent, several lines of evidence have documented their extensive plasticity and ability to reactivate multipotency in several non-physiological contexts. We have previously shown that ectopic Notch1 activation in committed mammary basal cells, which never experience Notch activity in homeostatic conditions, triggers a progressive cell fate switch from basal to luminal cell identity in both the pubertal and adult mouse mammary gland. Here, we tested the conservation of this mechanism in other glandular epithelia and found that constitutive Notch1 signaling also induces a basal-to-luminal cell fate switch in adult cells of the lacrimal gland, the salivary gland, and the prostate. Since cells do not undergo lineage transition synchronously and this switch is progressive in time, we performed single cell transcriptomic analysis by SMART-Seq on index-sorted mutant mammary cells at different stages of lineage conversion, to reveal the molecular pathways underlying the fate transition. Combining single cell transcriptomics analyses with assays in organoid cultures, we demonstrate that proliferation of basal mutant cells is indispensable to convert them into luminal progenitors. We thus reveal the molecular mechanisms and individual transcriptional landscapes controlling lineage conversion and cellular plasticity of unipotent committed mammary cells in vivo with spatial and temporal resolution. Given the strong implications of Notch signaling in cancer, these results also provide important insights into the mechanisms that drive cellular transformation.

developmental biology↗
bioRxiv2024

Exploring social modulation: Microglia as a key mediator of individual immune response, plasticity and pathology in App-NL-G-F mouse model of Alzheimer's disease

This study explores the influence of lifestyle on Alzheimers disease (AD) progression using App-NL-G-F mice in a complex enrichment system. Mice exhibited social deficits before plaque pathology or memory impairment, revealing a crucial link between lifestyle, behavior, and neuroinflammation. Plasma analysis indicates early inflammation and apoptosis-related changes, setting the stage for identifying markers predicting plaque manifestation. Beyond pathology, social behavior is linked to adult neurogenesis and microglia coverage, forming a dynamic connection with microglia activation. Further, sc-RNA sequencing unveiled a decrease in interferon-responsive microglia and alteration in antigen processing with enrichment. These findings underscore the beneficial impact of social housing on microglia and interconnected factors, pointing to microglia as a critical mediator of the behavior-pathology-plasticity interplay in AD. The study enhances our understanding of AD complexity and offers insights into potential therapeutic strategies, emphasizing the multifaceted nature of AD progression and the role of lifestyle in shaping its course.

neuroscience↗
bioRxiv2023

A latent cardiomyocyte regeneration potential in the human heart

Cardiomyocytes in the adult human heart show a regenerative capacity, with an annual renewal rate around 0.5%. Whether this regenerative capacity of human cardiomyocytes is employed in heart failure has been controversial. Using retrospective 14C birth dating we analyzed cardiomyocyte renewal in patients with end-stage heart failure. We show that cardiomyocyte generation is minimal in end-stage heart failure patients at rates 18-50 times lower compared to the healthy heart. However, patients receiving left ventricle support device therapy, who showed significant functional and structural cardiac improvement, had a >6-fold increase in cardiomyocyte renewal relative to the healthy heart. Our findings reveal a substantial cardiomyocyte regeneration potential in human heart disease, which could be exploited therapeutically.

cell biology↗
bioRxiv2023

Compartmentalization and synergy of osteoblasts drive bone formation in the regenerating fin

Zebrafish faithfully regenerate their fins after amputation which includes restoration of bone tissue and a component of cell plasticity. It is currently unclear how different cell populations of the regenerate divide labor to allow for efficient regenerate growth and proper patterning. Here, we studied lineage relationships of FACS-enriched epidermal, blastemal and bone forming fin regenerate cells by single cell (sc) RNA sequencing, lineage tracing, targeted osteoblast ablation and electron microscopy to show that the majority of osteoblasts in the outgrowing regenerate derive from osterix+ osteoblasts, while mmp9+ cells give rise to a limited cell number at the fin segment joints. A third population of distal blastema cells contributes to distal osteoblast progenitors, suggesting compartmentalization during appendage regeneration. Fin elongation and bone formation are carried out by distinct regenerate cell populations, and these variably depend on Fgf signaling. Ablation of osterix+ osteoblasts irreversibly impairs patterning of segment joints, and prevents bone matrix formation in the proximal regenerate. The resulting reduced regenerate length is partially compensated for by the distal regenerate which shows increased Wnt signaling activity. Surprisingly, ablation of joint cells does not abolish the formation of segment joints. Our study characterizes rare fin regenerate cell populations, indicates intricate osteoblast-blastema lineage relationships, inherent detection and compensation of impaired regeneration, and demonstrates zonation of the elongating regenerate. Furthermore, it sheds light on the variable dependence of bone formation on growth factor signaling.

developmental biology↗
bioRxiv2023

scRNAseq unravels the transcriptional network underlying zebrafish retina regeneration

In the lesioned zebrafish retina, Muller glia produce multipotent retinal progenitors that generate all retinal neurons, replacing lost cell types. To study the molecular mechanisms linking Muller glia reactivity to progenitor production and neuronal differentiation, we used single cell RNA sequencing of Muller glia, progenitors and regenerated progeny from uninjured and light-lesioned retinae. We discover an injury-induced Muller glia differentiation trajectory that leads into a cell population with a hybrid identity expressing marker genes of Muller glia and progenitors. A glial self-renewal and a neurogenic trajectory depart from the hybrid cell population. We further observe that neurogenic progenitors progressively differentiate to generate retinal ganglion cells first and bipolar cells last, similar to the events observed during retinal development. Our work provides a comprehensive description of Muller glia and progenitor transcriptional changes and fate decisions in the regenerating retina, which are key to tailor cell differentiation and replacement therapies for retinal dystrophies in humans.

developmental biology↗
bioRxiv2021

A single-cell atlas of de novo β-cell regeneration reveals the contribution of hybrid β/δ cells to diabetes recovery in zebrafish

Regeneration-competent species possess the ability to reverse the progression of severe diseases by restoring the function of the damaged tissue. However, the cellular dynamics underlying this capability remain unexplored. Here, we use single-cell transcriptomics to map de novo {beta}-cell regeneration during induction and recovery from diabetes in zebrafish. We show that the zebrafish has evolved two distinct types of somatostatin-producing {delta}-cells, which we term {delta}1- and {delta}2-cells. Moreover, we characterize a small population of glucose-responsive islet cells, which share the hormones and fate-determinants of both {beta}- and {delta}1-cells. The transcriptomic analysis of {beta}-cell regeneration reveals that {beta}/{delta} hybrid cells constitute a prominent source of insulin-expression during diabetes recovery. Using in vivo calcium imaging and cell tracking, we further show that the hybrid cells form de novo and acquire glucose-responsiveness in the course of regeneration. The overexpression of dkk3, a gene enriched in hybrid cells, increases their formation in the absence of {beta}-cell injury. Finally, interspecies comparison shows that plastic {delta}1-cells are partially related to PP-cells in the human pancreas. Our work provides an atlas of {beta}-cell regeneration and indicates that the rapid formation of glucose-responsive hybrid cells contributes to the resolution of diabetes in zebrafish

developmental biology↗
bioRxiv2020

Diploid hepatocytes drive physiological liver renewal in adult humans

Physiological liver cell replacement is central to maintaining the organs high metabolic activity, although its characteristics are difficult to study in humans. Using retrospective 14C birth dating of cells, we report that human hepatocytes show continuous and lifelong turnover, maintaining the liver a young organ (average age < 3 years). Hepatocyte renewal is highly dependent on the ploidy level. Diploid hepatocytes show an seven-fold higher annual exchange rate than polyploid hepatocytes. These observations support the view that physiological liver cell renewal in humans is mainly dependent on diploid hepatocytes, whereas polyploid cells are compromised in their ability to divide. Moreover, cellular transitions between these two subpopulations are limited, with minimal contribution to the respective other ploidy class under homeostatic conditions. With these findings, we present a new integrated model of homeostatic liver cell generation in humans that provides fundamental insights into liver cell turnover dynamics.

cell biology↗
bioRxiv2019

3D spatially-resolved geometrical and functional models of human liver tissue reveal new aspects of NAFLD progression

Early disease diagnosis is key for the effective treatment of diseases. It relies on the identification of biomarkers and morphological inspection of organs and tissues. Histopathological analysis of human biopsies is the gold standard to diagnose tissue alterations. However, this approach has low resolution and overlooks 3D structural changes that are consequence of functional alterations. Here, we applied multiphoton imaging, 3D digital reconstructions and computational simulations to generate spatially-resolved geometrical and functional models of human liver tissue at different stages of non-alcoholic fatty liver disease (NAFLD). We identified a set of new morphometric cellular parameters correlated with disease progression. Moreover, we found profound topological defects in the 3D bile canaliculi (BC) network. Personalized biliary fluid dynamic simulations predicted an increased pericentral biliary pressure and zonated cholestasis, consistent with elevated cholestatic biomarkers in patients sera. Our spatially-resolved models of human liver tissue can contribute to high-definition medicine by identifying quantitative multi-parametric cellular and tissue signatures to define disease progression and provide new insights into NAFLD pathophysiology.

pathology↗
bioRxiv2019

How fast are cells dividing: Probabilistic model of continuous labeling assays

Correct estimates of cell proliferation rates are crucial for quantitative models of the development, maintenance and regeneration of tissues. Continuous labeling assays are used to infer proliferation rates in vivo. So far, the experimental and theoretical study of continuous labeling assays focused on the dynamics of the mean labeling-fraction but neglected stochastic effects. To study the dynamics of the labeling-fraction in detail and fully exploit the information hidden in fluctuations, we developed a probabilistic model of continuous labeling assays which incorporates biological variability at different levels, between cells within a tissue sample but also between multiple tissue samples. Using stochastic simulations, we find systematic shifts of the mean-labeling fraction due to variability in cell cycle lengths. Using simulated data as ground truth, we show that current inference methods can give biased proliferation rate estimates with an error of up to 40 %. We derive the analytical solution for the Likelihood of our probabilistic model. We use this solution to infer unbiased proliferation rate estimates in a parameter recovery study. Furthermore, we show that the biological variability on different levels can be disentangled from the fluctuations in the labeling data. We implemented our model and the unbiased parameter estimation method as an open source Python tool and provide an easy to use web service for cell cycle length estimation from continuous labeling assays (https://imc.zih.tu-dresden.de/cellcycle).

biophysics↗
bioRxiv2018

Lgr5+ stem/progenitor cells reside at the apex of the embryonic hepatoblast pool

AbstractDuring mouse embryogenesis, progenitors within the liver known as hepatoblasts give rise to adult hepatocyte and cholangiocyte cells. Hepatoblasts, which are specified at E8.5-E9.0, have been regarded as a homogeneous population of progenitors, which initiate differentiation into hepatocytes and cholangiocytes from E13.5 onwards. Recently, sub-populations of transcriptionally different hepatoblasts have been identified as already present at E11.5 by single cell RNAseq (scRNAseq) analysis. However, whether these transcriptional differences result from functionally heterogeneous hepatoblast populations is unknown. Here we show that the hepatoblast pool is not only transcriptionally but also functionally heterogeneous and that a sub-population of E9.5-E10.0 hepatoblasts exhibits a previously unidentified early commitment to cholangiocyte fate. Importantly, we also identify a sub-population of bona-fide E9.5 hepatoblasts which express the adult stem cell marker Lgr5 and contribute to liver development by generating both hepatocyte and cholangiocyte progeny that persist for the life-span of the mouse. Using a combination of lineage tracing and scRNAseq, we show that Lgr5 marks E9.5-E10.0 bi-potent liver progenitors residing at the apex of a hierarchy of the hepatoblast population. Notably, isolated Lgr5+ hepatoblasts can be clonally expanded in vitro into embryonic liver organoids, which can commit to hepatocyte or cholangiocyte fates dependent upon the culture conditions. Our study represents the first functional demonstration of heterogeneity within E9.5 hepatoblasts and identifies Lgr5 as a marker for a sub-population of truly bi-potent liver progenitors.\n\nSummary StatementLgr5 positive bi-potential hepatoblasts contribute to liver development and reside at the apex of an embryonic liver progenitor pool.

developmental biology↗