Biology subjects

Adlung, L.

Publications and source records attributed to Adlung, L..

5 recordsLinked to original sources

bioRxiv2026

TLR2-mediated microbial sensing by intestinal stem cells coordinates epithelial antimicrobial defense.

Intestinal regeneration and host defense require adaptation to environmental cues, but the mechanisms underlying this coordination remain unclear. We show that intestinal Lgr5 stem cells act as luminal sensors via apically localized Toll-like receptor 2 (TLR2), enabling direct detection of microbiota-derived signals. We identify apical TLR2 activation as a mechanism of luminal sensing in adult stem cells and show that it controls epithelial differentiation, antimicrobial peptide production, and crypt organization, with a particularly strong influence on Paneth cell maturation. Genetic ablation of constitutive, epithelial, or stem cell-specific TLR2 disrupts these processes, leading to impaired antimicrobial defense and altered epithelial composition. Using germ-free mice and human intestinal organoids, we demonstrate that this pathway is microbiota-dependent and evolutionarily conserved, respectively. These findings support a model in which stem cells act as active integrators of environmental information and suggest a broader principle by which barrier tissues couple microbial sensing to regeneration and host protection.

immunology↗

bioRxiv2025

Sympathetic signaling directs macrophage efferocytosis in thermogenic adipose tissue

Brown adipose tissue (BAT) undergoes significant remodeling upon thermogenic activation. During this process, brown adipocytes and immune cells, such as macrophages, contribute to thermogenesis and energy expenditure. Among the various functions exerted by macrophages, the clearance of dying cells, known as efferocytosis, is a key regulator of tissue remodeling across multiple organs in both physiological and pathological contexts. However, whether macrophages contribute to BAT remodeling and thermogenic adaptation through efferocytosis, and what drives efferocytosis in BAT, remain unknown. Here, we identify norepinephrine (NE), which is highly released in BAT upon cold challenge, as a tissue-specific trigger of macrophage efferocytosis. Transcriptomic and lipidomic analyses of BAT after cold exposure revealed a population of lipid-handling macrophages enriched in efferocytosis-related transcripts. Consistently, cold exposure enhanced the efferocytic capacity of BAT macrophages. These effects were recapitulated by stimulation of macrophages with NE and were dependent on {beta}2-adrenergic signaling and the efferocytic receptors AXL and MERTK. Mice lacking Axl and Mertk in macrophages exhibited impaired lipolysis, reduced thermogenic gene expression, and increased adipose tissue inflammation. Together, our findings identify a so far neglected role for NE in adipose tissue, linking sympathetic activation to macrophage efferocytosis and thereby promoting tissue remodeling and metabolic adaptation. Uncovering the role of NE in one of the core functions of macrophages, efferocytosis, not only expands our understanding of the multifaceted effects of NE on the immune system but also highlights therapeutic potential for targeting impaired efferocytosis in metabolic disorders. One sentence summaryNorepinephrine is a novel trigger of macrophage efferocytosis in brown adipose tissue, linking sympathetic signaling to metabolic adaptation and macrophage tissue remodeling responses through {beta}2-adrenergic and Axl/Mertk pathways.

immunology↗

bioRxiv2025

Single-nucleus mRNA-sequencing reveals dynamics of lipogenic and thermogenic adipocyte populations in murine brown adipose tissue in response to cold exposure

Brown adipose tissue (BAT) comprises a heterogeneous population of adipocytes and non-adipocyte cell types. To characterize these cellular subpopulations and their adaptation to cold, we performed single-nucleus mRNA-sequencing (snRNA-seq) on interscapular BAT from mice maintained at room temperature or exposed to acute (24h) or chronic (10 days) cold (6{degrees}C). To investigate the role of the de novo lipogenesis (DNL)-regulating transcription factor carbohydrate response element-binding protein (ChREBP), we analyzed control and brown adipocyte-specific ChREBP knockout mice. We identified different cell populations, including seven brown adipocyte subtypes with distinct metabolic profiles. One of them highly expressed ChREBP and DNL enzymes. Notably, these lipogenic adipocytes were highly sensitive to acute cold exposure, showing a marked depletion in BAT of control mice that was compensated by other brown adipocyte subtypes maintaining DNL. Chronic cold exposure resulted in an expansion of basal brown adipocytes and adipocytes putatively derived from stromal and endothelial precursors. In ChREBP-deficient mice, lipogenic adipocytes were almost absent under all conditions, identifying the transcription factor as a key determinant of this adipocyte subtype. Pathway and cell-cell interaction analyses implicated a Wnt-ChREBP axis in the maintenance of lipogenic adipocytes, with Wnt ligands from stromal and muscle cells providing instructive cues. Our findings provide a comprehensive atlas of BAT cellular heterogeneity and reveal a critical role for ChREBP in lipogenic adipocyte identity, with implications for BAT plasticity and metabolic function.

cell biology↗

bioRxiv2023

Longitudinal single-cell data informs deterministic modelling of inflammatory bowel disease

Single-cell mRNA sequencing (scRNA-seq) allows deep molecular and cellular profiling of immunological processes. Longitudinal scRNA-seq datasets can be used for deterministic ordinary differential equation (ODE)-based modelling to mechanistically describe immune dynamics. Here, we derived longitudinal changes in the abundance of six colonic cell types during inflammatory bowel disease (IBD) from scRNA-seq data of a mouse model of colitis using ODE-based models. We then predicted the immune dynamics of a different mouse colitis protocol and confirmed these scRNA-seq-based predictions with our previously published single-cell-based flow cytometry data. We further hypothesised that the estimated model parameters reflect biological processes. We validated this prediction of cellular turnover rates with KI-67 staining and with gene expression information from the scRNA-seq data not used for model fitting. Finally, we tested the translational relevance of the model simulations by predicting genes indicative of treatment response in human IBD patients. The predictive power of IBD deterministic modelling from scRNA-seq data highlights its potential to advance our understanding of immune dynamics in health and disease.

systems biology↗

bioRxiv2019

Cell-to-cell variability in JAK2/STAT5 pathway components and cytoplasmic volumes define survival threshold in erythroid progenitor cells

Survival or apoptosis is a binary decision in individual cells. Yet, at the cell population level, a graded increase in survival of CFU-E cells is observed upon stimulation with Erythropoietin (Epo). To identify components of JAK2/STAT5 signal transduction that contribute to the graded population response, a cell population-level model calibrated with experimental data was extended to study the behavior in single cells. The single-cell model showed that the high cell-to-cell variability in nuclear phosphorylated STAT5 is caused by variability in the amount of EpoR:JAK2 complexes and of SHP1 as well as the extent of nuclear import due to the large variance in the cytoplasmic volume of CFU-E cells. 24 to 118 pSTAT5 molecules in the nucleus for 120 min are sufficient to ensure cell survival. Thus, variability in membrane-associated processes are responsible to convert a switch-like behavior at the single-cell level to a graded population level response. HighlightsO_LIMathematical modeling enables integration of heterogeneous data C_LIO_LISingle-cell modeling captures binary decision process C_LIO_LIMultiple sources of cell-to-cell variability in erythroid progenitor cells C_LIO_LIMinimal amount of active STAT5 sufficient for survival of erythroid progenitor cells C_LI

systems biology↗