Biology subjects

Lickert, H.

Publications and source records attributed to Lickert, H..

At least 19 recordsLinked to original sources

bioRxiv2026

MAFA drives pancreatic islet maturation through coordination of cell growth, metabolic maturation, and resilience to stress.

Stem cell-derived islets (SC-islets) are a promising source for replacing the loss of insulin-secreting {beta} cells in insulin-dependent diabetes patients, but compared to their primary human counter parts, SC-islets are considered functionally immature and do not immediately regulate blood glucose after transplantation. To better understand the molecular underpinnings of {beta} cell maturation, we genetically engineered human pluripotent stem cells (hPSCs) to control the induction of the {beta} cell-maturing transcription factor MAFA or a MAFA S64F mutant variant associated with premature {beta} cell aging and senescence in SC-islets. We employ a combination of in vitro assays, multi-omics analyses, and murine in vivo transplantation studies to demonstrate that MAFA remodeling of the SC-islet transcriptional landscape promotes SC-islet biogenesis and metabolic maturation giving rise to greater SC-islet resilience and insulin secretory capacity. Parallel MAFA S64F studies highlight the importance for compensatory mechanisms for sustaining accelerated oxidative metabolism and enhanced insulin secretion without inducing intracellular stress responses and islet dysfunction. Overall, these results reveal MAFA-governed transcriptional changes that drive SC-islet functional maturation, which provides the foundation for maturing SC-islets in vitro, preserving {beta} cell integrity, and improving SC-islet cell replacement therapies.

cell biology↗

bioRxiv2026

Engineered dual-gastruloid model for foregut-pharyngeal mesoderm co-development

During mammalian gastrulation, progenitors of craniofacial and cardiopharyngeal muscles arise from anterior mesoderm adjacent to foregut endoderm, and they are controlled by gene regulatory networks and signalling pathways distinct from those of trunk mesoderm. While in vitro models capture aspects of posterior and heart development, a spatially organised interface between foregut-like endoderm and cranial-mesoderm-like tissue has not been described. Here we introduce a dual-aggregate gastruloid model, formed by fusing two mouse embryonic stem cell aggregates patterned under distinct Nodal, FGF, and Wnt signalling. These structures reproducibly establish an anterior-posterior axis and position a Foxa2/Sox17/Cdh1 foregut-like epithelium proximal to Pax1/Pax9 pharyngeal-like endoderm and Tbx1 cranial-mesoderm-like cells, resembling the E8.5 pharyngeal region. Reciprocal chimeras and Foxa2 loss-of-function indicate that Foxa2 endoderm is required for Tbx1 expression in adjacent anterior mesoderm. Pharmacological perturbation of Hedgehog disrupts Foxa2 and Tbx1 expression. The model provides a tractable platform for dissecting endoderm-mesoderm signalling and congenital craniofacial disease mechanisms.

developmental biology↗

bioRxiv2026

The Human Pancreas Cell Atlas defines a healthy reference framework for disease contextualization and translational benchmarking

A central challenge in single-cell biology is distinguishing disease-associated remodeling from normal cellular heterogeneity. Addressing this challenge requires healthy reference frameworks that capture cellular diversity across individuals, technologies, and biological contexts. Here we present the Human Pancreas Cell Atlas (HPCA), a reference atlas of the healthy human pancreas integrating 815,126 single-cell and single-nucleus transcriptomes from 109 donors across 12 studies, diverse technologies, and demographics. Using benchmarked integration and community-driven annotations, HPCA defines 94 cell types and transcriptional states spanning endocrine, exocrine, immune, and stromal compartments. The atlas identifies rare endocrine populations, including a putative, spatially supported polyhormonal alpha-beta-delta state, and provides a unified framework for interpreting pancreatic cellular variation across diverse biological and demographic covariates. Projection of disease and model-system datasets onto HPCA contextualized endocrine and epithelial remodeling relative to healthy pancreatic states. Diabetes-associated endocrine cells remained embedded within the healthy endocrine state space while exhibiting disease-specific changes, as supported by spatial and eQTL concordance analyses. Integration with a pancreatic ductal adenocarcinoma atlas resolved injury-associated and malignant epithelial ecosystem regions across donors. Finally, the HPCA enables quantitative benchmarking of murine diabetes models and stem-cell-derived islets against human pancreatic reference states. Together, the HPCA establishes a healthy transcriptional coordinate system for interpreting disease-associated pathophysiology, experimental perturbation, and regenerative fidelity, illustrating how reference atlases can function as analytical frameworks rather than static cell catalogs.

bioinformatics↗

bioRxiv2026

Vibrational optoacoustic detection of lipid-membrane dynamics enables label-free imaging of cell membrane potential

Current technologies to monitor membrane potential are either highly invasive and perturb the integrity of the membrane, use labels that compromise biological behavior, or are limited in sensitivity and do not enable simultaneous monitoring of multiple cells and cell populations. Here, we present Mid-IR Assessment of Conformation in Lipids by Ensemble Sensing (MIRACLES) that, by detection of molecular vibration of lipid acyl chains under cell-membranes electric field dynamics, achieves highly sensitive label-free imaging of membrane potential dynamics in living cells. MIRACLES leverages lipid conformational changes within the plasma membrane as intrinsic indicator for cell membrane depolarization and hyperpolarization. As proof-of-concept, we apply MIRACLES to monitor membrane depolarization during glucose stimulated insulin secretion in {beta}-cells at single-cell level and achieve assessment of {beta}-cell functionality in real time. These results highlight the potential of mid-IR optoacoustic as a powerful tool for indirect, label-free potential assessment of cellular metabolic activities.

bioengineering↗

bioRxiv2026

Integrated histological and proteomic mapping of pancreatic adaptations during porcine pregnancy

Pregnancy is a period of extensive metabolic rewiring. Insulin secreting {beta}-cells respond to the metabolic challenges of pregnancy by increasing their mass and size and by altering secretory patterns to maintain glucose homeostasis. If glucose metabolism is not tightly controlled, gestational diabetes may develop. Most studies on {beta}-cell adaptation during pregnancy are derived from rodent models, making translation to the vastly different human gestational setting challenging. In this work, we performed an extensive characterization of pancreatic adaptations throughout porcine pregnancy. Pigs have a long gestational period (114 days) and share a similar size and metabolism to humans, making them an ideal model to bridge the knowledge gap between rodents and humans. By analyzing pancreatic samples from early and late gestational ages, we captured the full trajectory of endocrine remodeling. We observed pregnancy-driven remodeling of endocrine cell types, marked by preferential expansion of pancreatic polypeptide-secreting cells. Proteomic characterization of the pancreas from early and late gestation showed a downregulation of SLC20A2 and ZCCHC7, identifying new protein targets involved in physiological endocrine cell adaptation. Overall, our comprehensive characterization of pancreatic adaptations in the pig model helps bridge the translational gap between rodents and humans and highlights previously unrecognized proteins with therapeutic potential for gestational diabetes.

developmental biology↗

bioRxiv2025

A human arteriovenous differentiation roadmap reveals vein developmental mechanisms and vascular effects of viruses

Extracellular signals and cell-fate trajectories during vein development remain elusive, despite trailblazing insights into artery development. Here we exploit human pluripotent stem cell differentiation and mouse embryology to present a model that answers longstanding questions: vein endothelial cell (EC) differentiation unfolds in two steps driven by opposing extracellular signals. First, VEGF differentiates mesoderm into "primed" ECs, newly-defined progenitors that co-express certain arterial (SOX17) and venous (APLNR) markers. Second, primed ECs execute vein differentiation upon VEGF/ERK inhibition; however, upon VEGF activation they can instead form artery ECs. The arteriovenous plasticity of primed ECs was supported by intersectional lineage tracing. Future venous genes including NR2F2 harbor poised chromatin in primed ECs, but are only transcribed upon VEGF/ERK inhibition. SOXF transcription factors, including SOX17, confer primed ECs with vein differentiation competence. Collectively, this two-step vein differentiation model--entailing primed EC intermediates and VEGF/ERK inhibition to trigger vein differentiation--has implications for VEGF-modulating therapies.

developmental biology↗

bioRxiv2025

Endocrine-enriched stem cell-derived islets improve long-term safety in vivo

Fully differentiated stem cell-derived islets (SC-islets) are proven to normalise blood glucose in type 1 diabetic patients. However, the presence of off-target cell types and the immature SC-islet function upon transplantation remain unresolved problems. Here, we established sorting strategies to generate SC-islets with defined glucagon-producing SC-- and insulin-producing {beta}-cell ratios and assessed their safety and efficacy in vitro and in vivo. Engineering SC-islets is beneficial to the insulin response in vitro, which does not translate to improved glycaemic regulation in vivo. Importantly, hormone-producing endocrine cell enrichment and thus off-target cell type depletion eliminated the risk for unwanted outgrowth in vivo. Single cell analysis defined off-target cells in vitro and in vivo and identified marker genes to assess SC-islet quality and define safety release criteria before graft transplantation. This study highlights the importance of determining the SC-islet composition and establishing rigorous quality controls to ensure long-term safety for {beta}-cell replacement therapy.

bioengineering↗

bioRxiv2025

Benchmarking porcine pancreatic ductal organoids for drug screening applications

Primary human pancreatic ductal organoids (HPDO) have emerged as a model to study pancreas biology and disease. Yet, donor material availability, and a lack of extensive benchmarking limits the range of applications. To address this gap, we established porcine pancreatic ductal organoids (PPDO) as a system from an easily obtainable source to model pancreatic ductal/progenitor biology. We benchmarked PPDO to HPDO and primary porcine pancreas using single-cell RNA sequencing (scRNA-Seq). We observed no overt phenotypic differences in PPDO derived from distinct developmental stages, with a WNT signaling enriched population characterizing PPDO. PPDO exhibited differentiation potential towards mature ductal cells and limited potential towards endocrine lineages. We used PPDO as a platform to assess the safety of FDA-approved drugs and showed conserved toxicity of statins and -adrenergic receptor inhibitors between PPDO and HPDO cultures. Overall, our results highlight the PPDO as a model for mammalian duct/progenitor applications.

developmental biology↗

bioRxiv2024

ΔNP63 defines an exocrine-committed multipotent progenitor subset in the murine pancreas

Cellular plasticity underpins heterogeneity in embryogenic progenitor cells and cancer cells. The transcription factor deltaNp63 ({Delta}Np63) has been implicated in regulating cellular plasticity in several epithelial tissues. Despite a recently established role in steering plasticity of pancreatic cancer, {Delta}Np63 remains unstudied in pancreatic development. Using murine single-cell sequencing data and RNA and protein in situ stainings, we assessed the spatio-temporal expression of Trp63 and {Delta}NP63 in the embryonic pancreas. {Delta}NP63 demonstrates a transient and spatially restricted expression in the multipotent pancreatic progenitor (MPP) compartment delineating pro-exocrine progenitor cells. Lineage tracing of TP63+ cells marks a subset of MPPs and descendant exocrine acinar and centro-acinar/terminal duct cells. Lack of {Delta}NP63 in knock-out mice leads to hypotrophic exocrine acini with reduced levels of differentiation markers. In summary, {Delta}Np63 confers heterogeneity within the MPP compartment, supporting exocrine cell development. These new insights in developmental plasticity have potential implications for pancreatic regeneration and cancer.

developmental biology↗

bioRxiv2024

Resolving human α versus β cell fate allocation for the generation of stem cell-derived islets

Generating stem cell-derived glucagon-producing (SC- cells) and insulin-producing {beta} cells (SC-{beta} cells) allows to engineer an in vitro biomimetic of the islet of Langerhans, the micro-organ controlling blood glucose, however, there is still a major knowledge gap in the mode and mechanism by which human SC- and {beta} cells are specified. Mouse studies postulated that Aristaless Related homeobox (Arx) and Paired box 4 (Pax4) transcription factors cross-inhibit each other in endocrine progenitors to promote or {beta} cell fate allocation, respectively. To test this model in human, we generated an ARXCFP/CFP; PAX4mCherry/mCherry double knock-in reporter induced pluripotent stem cell (iPSC) line to combine time-resolved cell lineage labeling with high-resolution single cell multiomic analysis. Strikingly, lineage labelling and tracing, proteomic and gene regulatory network (GRN) analysis and potency assays revealed a human specific mode and regulatory logic of versus {beta} cell fate allocation. Importantly, pharmacological perturbation using drugs previously proposed to trigger -to-{beta} cell transdifferentiation or identified via our GRN analysis led to enhanced endocrine induction and directed vs {beta} cell fate commitment. Thus, shedding light on basic mechanisms of endocrine induction and fate segregation not only paves the way to engineer islets from pluripotent stem cells, but also has broader implications for cell-replacement therapy, disease modelling and drug screening.

cell biology↗

bioRxiv2024

Chronic intermittent fasting impairs β-cell maturation and function in adolescent mice

Intermittent fasting (IF) is a nutritional lifestyle intervention with broad metabolic benefits, but whether the impact of IF depends on the individuals age is unclear. Here, we investigated the effects of IF on systemic metabolism and pancreatic islet function in old, middle-aged, and young mice. Short-term IF improved glucose homeostasis across all age groups, without altering islet function and morphology. In contrast, while chronic IF was beneficial for adult mice, it resulted in impaired {beta}-cell function in the young. Using scRNAseq, we delineated that the {beta}-cell maturation and function score were reduced in young mice. In human islets, a similar pattern was observed in Type 1 (T1D), but not in Type 2 diabetes (T2D), suggesting that the impact of chronic IF in adolescence is linked to the development of {beta}-cell dysfunction. Our study suggests considering the duration of IF in younger people, as it may enhance rather than reduce diabetes outcomes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=164 SRC="FIGDIR/small/590140v1_ufig1.gif" ALT="Figure 1"> View larger version (42K): org.highwire.dtl.DTLVardef@1676dd1org.highwire.dtl.DTLVardef@15ac993org.highwire.dtl.DTLVardef@167f577org.highwire.dtl.DTLVardef@247e4e_HPS_FORMAT_FIGEXP M_FIG C_FIG O_LILong-term IF impairs {beta}-cell function in adolescent mice. C_LIO_LIIF-induced impaired {beta}-cell function is associated with impaired proliferative capacity and lower levels of mature cells. C_LIO_LIIF-induced impaired {beta}-cell function is associated with a transcriptional change highly conserved in type 1-, but not type 2 diabetes. C_LI

physiology↗

bioRxiv2024

Capture of Human Neuromesodermal and Posterior Neural Tube Axial Stem Cells

The spinal cord, nerves, and skeletal muscles arise from neuromesodermal progenitors (NMPs). We have developed a growth-factor screening strategy, utilizing ES and iPS cells, facilitating the indefinite self-renewal of two types of human axial stem cells (AxSCs), closely resembling mouse NMPs (NM-AxSCs) and posterior neural tube progenitors (N-AxSCs). Under specific regimens-- Wnt/CHIR99021, FGF2, and TGF-{beta} inhibitor SB431542 (CFS) and excluding FGF2 (CS), respectively--these AxSCs self-renew and sustain telomeres. Single cell transcriptomics and proteomics have revealed expression of posterior growth-zone and dorsoventral neural tube markers in NM-AxSCs, and correspondingly, differentiation to a wide spectrum of neural tube neurons and myocytes. N-AxSCs rapidly matured into dorsal sensory subsets and neural crest. Crucially, neither AxSC type produces teratomas, and analogous mouse NM-AxSCs integrated successfully into the neural tube and somites. Capturing of AxSCs from patient and GMP ES / iPS cells without transgenesis unveils ontogeny and promises modeling and therapy in neuropathies.

developmental biology↗

bioRxiv2023

Pantothenate Kinase 4 controls efficient skeletal muscle energy substrate metabolism via acetyl-CoA

Metabolic inflexibility in skeletal muscle (SkM) is closely linked to metabolic diseases. Exercise improves metabolic flexibility, rendering it a valuable discovery tool of mechanisms promoting efficient metabolism of glucose and lipids. We herein discover pantothenate kinase 4 (PanK4) as a conserved exercise target with high abundance in SkM. We go on to show that murine muscle Pank4 is dysregulated with high-fat diet feeding, and identify human PANK4 variants that associate with glycemic control and body mass index traits, indicating important roles of PanK4 in glucose metabolism and growth. Consistent with the latter, germline deletion of PanK4 reduces circulating IGF-1 and stunts growth in mice. Deletion specifically in mouse SkM reveals that PanK4 facilitates fatty acid oxidation by acting as a regulator of SkM acetyl-CoA, a key node in metabolism of both glucose and lipids. Consequently, without PanK4, elevated SkM acetyl-CoA levels allosterically gridlock key enzymes required for efficient lipid and glucose utilization, and these SkM metabolic perturbations manifest in whole-body insulin resistance. As proof of principle, we show that an increase in muscle PanK4 lowers SkM acetyl-CoA and increases SkM glucose utilization. Our findings identify PanK4 as a novel regulator of SkM energy substrate metabolism, warranting inclusion in comprehensive strategies against metabolic disease.

physiology↗

bioRxiv2023

Mapping cells through time and space with moscot

Single-cell genomics technologies enable multimodal profiling of millions of cells across temporal and spatial dimensions. Experimental limitations prevent the measurement of all-encompassing cellular states in their native temporal dynamics or spatial tissue niche. Optimal transport theory has emerged as a powerful tool to overcome such constraints, enabling the recovery of the original cellular context. However, most algorithmic implementations currently available have not kept up the pace with increasing dataset complexity, so that current methods are unable to incorporate multimodal information or scale to single-cell atlases. Here, we introduce multi-omics single-cell optimal transport (moscot), a general and scalable framework for optimal transport applications in single-cell genomics, supporting multimodality across all applications. We demonstrate moscots ability to efficiently reconstruct developmental trajectories of 1.7 million cells of mouse embryos across 20 time points and identify driver genes for first heart field formation. The moscot formulation can be used to transport cells across spatial dimensions as well: To demonstrate this, we enrich spatial transcriptomics datasets by mapping multimodal information from single-cell profiles in a mouse liver sample, and align multiple coronal sections of the mouse brain. We then present moscot.spatiotemporal, a new approach that leverages gene expression across spatial and temporal dimensions to uncover the spatiotemporal dynamics of mouse embryogenesis. Finally, we disentangle lineage relationships in a novel murine, time-resolved pancreas development dataset using paired measurements of gene expression and chromatin accessibility, finding evidence for a shared ancestry between delta and epsilon cells. Moscot is available as an easy-to-use, open-source python package with extensive documentation at https://moscot-tools.org.

bioinformatics↗

bioRxiv2022

Delineating mouse β-cell identity during lifetime and in diabetes with a single cell atlas

Multiple pancreatic islet single-cell RNA sequencing (scRNA-seq) datasets have been generated to study development, homeostasis, and diabetes. However, there is no consensus on cell states and pathways across conditions as well as the value of preclinical mouse models. Since these challenges can only be resolved by jointly analyzing multiple datasets, we present a scRNA-seq cross-condition mouse islet atlas (MIA). We integrated over 300,000 cells from nine datasets with 56 samples, varying in age, sex, and diabetes models, including an autoimmune type 1 diabetes (T1D) model (NOD), a gluco-/lipotoxicity T2D model (db/db), and a chemical streptozotocin (STZ) {beta}-cell ablation model. MIA is a curated resource for interactive exploration and computational querying, providing new insights inaccessible from individual datasets. The {beta}-cell landscape of MIA revealed new disease progression cell states and cross-publication differences between previously suggested marker genes. We show that in the STZ model {beta}-cells transcriptionally correlate to human T2D and mouse db/db, but are less similar to human T1D and mouse NOD. We observe different pathways shared between immature, aged, and diabetes model {beta}-cells. In conclusion, our work presents the first comprehensive analysis of {beta}-cell responses to different stressors, providing a roadmap for the understanding of {beta}-cell plasticity, compensation, and demise.

bioinformatics↗

bioRxiv2022

Hypercaloric diet triggers transient molecular rearrangements of astrocytes selectively in the arcuate nucleus

Hypothalamic astrocytes are particularly affected by energy-dense food consumption. How the anatomical location of these glial cells and their spatial molecular distribution in the arcuate nucleus of the hypothalamus (ARC) determine the cellular response to a high caloric diet remains unclear. In this study, we investigated their distinctive molecular responses following the exposure to a high-fat high-sugar (HFHS) diet, specifically in the ARC. Using RNA sequencing and proteomics, we showed that astrocytes have a distinct transcriptomic and proteomic profile dependent on their anatomical location, with a major proteomic reprogramming in hypothalamic astrocytes. By ARC single-cell sequencing, we observed that a HFHS diet dictates time- and cell-specific transcriptomic responses, revealing that astrocytes have the most distinct regulatory pattern compared to other cell types. Lastly, we topographically and molecularly characterized astrocytes expressing glial fibrillary acidic protein and/or aldehyde dehydrogenase 1 family member L1 in the ARC, of which the abundance was significantly increased, as well as the alteration in their spatial and molecular profiles, with a HFHS diet. Together, our results provide a detailed multi-omics view on the spatial and temporal changes of astrocytes particularly in the ARC during different time points of adaptation to a high caloric diet.

neuroscience↗

bioRxiv2021

Multi-omics and 3D-imaging reveal bone heterogeneity and unique calvaria cells in neuroinflammation

The meninges of the brain are an important component of neuroinflammatory response. Diverse immune cells move from the calvaria marrow into the dura mater via recently discovered skull-meninges connections (SMCs). However, how the calvaria bone marrow is different from the other bones and whether and how it contributes to human diseases remain unknown. Using multi-omics approaches and whole mouse transparency we reveal that bone marrow cells are highly heterogeneous across the mouse body. The calvaria harbors the most distinct molecular signature with hundreds of differentially expressed genes and proteins. Acute brain injury induces skull-specific alterations including increased calvaria cell numbers. Moreover, TSPO-positron-emission-tomography imaging of stroke, multiple sclerosis and neurodegenerative disease patients demonstrate disease-associated uptake patterns in the human skull, mirroring the underlying brain inflammation. Our study indicates that the calvaria is more than a physical barrier, and its immune cells may present new ways to control brain pathologies. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=103 SRC="FIGDIR/small/473988v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@978194org.highwire.dtl.DTLVardef@bc45e8org.highwire.dtl.DTLVardef@91afdborg.highwire.dtl.DTLVardef@b06bc6_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIBone marrow across the mouse body display heterogeneity in their molecular profile C_LIO_LICalvaria cells have a distinct profile that is relevant to brain pathologies C_LIO_LIBrain native proteins are identified in calvaria in pathological states C_LIO_LITSPO-PET imaging of the human skull can be a proxy of neuroinflammation in the brain C_LI Supplementary Videos can be seen at: http://discotechnologies.org/Calvaria/

cell biology↗

bioRxiv2021

Synaptotagmin 13 orchestrates pancreatic endocrine cell egression and islet morphogenesis

Epithelial cell egression is important for organ development, but also drives cancer metastasis. Better understandings of pancreatic epithelial morphogenetic programs generating islets of Langerhans aid to diabetes therapy. Here we identify the Ca2+-independent atypical Synaptotagmin 13 (Syt13) as a key driver of endocrine cell egression and islet formation. We detected upregulation of Syt13 in endocrine precursors that correlates with increased expression of unique cytoskeletal components. High-resolution imaging reveals a previously unidentified apical-basal to front-rear repolarization during endocrine cell egression. Strikingly, Syt13 interacts with acetylated tubulin and phosphatidylinositol phospholipids and localizes to the leading-edge of egressing cells. Knockout of Syt13 impairs endocrine cell egression and skews the - to-{beta}-cell ratio. Mechanistically, Syt13 regulates endocytosis to remodel the basement membrane and cell-matrix adhesion at the leading-edge of egressing endocrine cells. Altogether, these findings implicate an unexpected role of Syt13 in regulating cell polarity to orchestrate endocrine cell egression and islet morphogenesis.

developmental biology↗