Search bioRxiv⌕ Search

Biology subjects

Eickelberg, O.

Publications and source records attributed to Eickelberg, O..

12 recordsLinked to original sources

Mesothelial Plasticity Specifies a Pleural Immune Circuit that Orchestrates Lung Regeneration

Following injury, predisposition towards regenerative repair and away from degenerative remodeling is central to organismal health, yet the upstream determinants that instruct this fate choice remain poorly understood. Here, we identify mesothelial cell plasticity as a central determinant between regeneration and degeneration by comparing mouse models of pneumonectomy (PNX) versus chronic lung allograft dysfunction (CLAD). While mesothelial cells expand in both settings, following PNX, these cells undergo differentiation through multiple transitional states, culminating in an inflammatory population that orchestrates monocyte recruitment and subsequent tissue regeneration. In contrast, in CLAD, mesothelial cells enrich in an extracellular matrix-enriched state that lacks pro-regenerative signaling capacity. Using single cell epigenomic profiling and in vivo genetics, we define a mesothelium-specific TWIST1-CCL2 axis that governs mesothelium plasticity and signaling, monocyte recruitment and lung regrowth. Together, these findings demonstrate that context-dependent reprogramming of a pleural population, known to protect organs, can be leveraged to drive regeneration.

Developmental Biology↗

Alveolar Epithelial Cell Loss of the Mitochondrial Regulator TFAM Drives Progressive Lung Fibrosis

Idiopathic pulmonary fibrosis (IPF) is characterized by failed alveolar epithelial repair and progressive fibrotic remodeling. Although aberrant reprogramming of alveolar type 2 (AT2) cells and accumulation of transitional AT2 states are increasing recognized as central features of IPF, the epithelial-intrinsic mechanisms that initiate these pathogenic states remain incompletely understood. Here, we identify mitochondrial transcription factor A (TFAM), a regulator of mitochondrial DNA maintenance, as a critical regulator of AT2 cell homeostasis. TFAM expression was reduced in AT2 cells from human IPF lungs. Inducible AT2 cell-specific Tfam deletion in mice caused spontaneous fibrotic remodeling and increased susceptibility to bleomycin-induced lung injury. TFAM-deficient AT2 cells acquired KRT8+ transitional and p21+ senescence-associated features before the onset of fibrotic transformation, accompanied by impaired oxidative phosphorylation, redox imbalance, mitochondrial superoxide accumulation, repression of mtDNA-encoded respiratory genes, and disrupted mitochondrial ultrastructure. TFAM-deficient AT2 cells developed a profibrotic secretory program that promoted extracellular matrix deposition and fibroblast activation. We further identified insulin-like growth factor-binding protein 2 (IGFBP2) as a secreted mediator induced in TFAM-deficient AT2 cells. IGFBP2 was elevated in AT2 cells in human IPF lung tissue and bronchoalveolar lavage fluid (BALF) from patients with IPF. IGFBP2 was detected in supernatants from fibrotic human precision-cut lung slices (hPCLS). IGFBP2 neutralization attenuated profibrotic remodeling in fibrotic hPCLS. Collectively, our findings identify TFAM-dependent mitochondrial homeostasis as an epithelial checkpoint linking AT2 cell-state stability to impaired epithelial-mesenchymal crosstalk driving pulmonary fibrosis.

pathology↗

An Intrinsic-hoc Framework for Heterogeneous Cellular Senescence Elucidation Using Deep Graph Representation Learning and Experimental Validation

Cellular senescence is a primordial driver of tissue and organ aging, and the accumulation of senescent cells (SnCs) has been implicated in numerous age-related diseases. A major barrier to studying senescence is the rarity and heterogeneity of SnCs, which are not a uniform population but instead comprise diverse senotypes shaped by cell-of-origin and microenvironmental context. Such heterogeneity exceeds what classical senescence hallmarks can resolve at single-cell resolution, motivating the need for computational frameworks that can capture senotype-level diversity intrinsically. Here, we introduce DeepSAS, a deep graph representation learning framework that robustly identifies cell-type-specific SnCs and their senescence-associated genes (SnGs). DeepSAS incorporates a heterogeneous graph that integrates intracellular transcriptional states with intercellular communication cues, enabling the joint inference of senescent cells and senescence-linked genes through attention-based contrastive learning. Applied to public healthy eye and lung atlases, DeepSAS identified SnCs whose proportions positively correlate with aging. From in-house idiopathic pulmonary fibrosis (IPF) patient scRNA-seq data, DeepSAS detected 1,678 SnCs (out of 24,125 cells) and 263 SnGs across 26 cell types, including 43 SnGs that are uniquely associated with a single cell type. We generated high-resolution Xenium spatial transcriptomics data to further validate SnGs in IPF, revealing NFE2L2 as a SnG specifically enriched in CTHRC1+ fibroblasts. Notably, the ex vivo bleomycin-induced senescence in human precision-cut lung slice (hPCLS) samples similarly identified NFE2L2 as an SnG in CTHRC1+ fibroblasts, albeit with stronger transcriptional signals, suggesting mechanistic differences in senescence cells associated with chronic and acute injury. Overall, DeepSAS uncovers distinct senescence programs and infers cell-type-specific SnGs that are difficult to resolve using existing marker-based approaches. We believe it offers a generalizable and translationally relevant strategy for advancing senescence biology and therapeutic development.

bioinformatics↗

SenSet, a novel human lung senescence cell gene signature, identifies cell-specific senescence mechanisms

Cellular senescence is a major hallmark of aging. Senescence is defined as an irreversible growth arrest observed when cells are exposed to a variety of stressors including DNA damage, oxidative stress, or nutrient deprivation. While senescence is a well-established driver of aging and age-related diseases, it is a highly heterogeneous process with significant variations across organisms, tissues, and cell types. The relatively low abundance of senescence in healthy aged tissues represents a major challenge to studying senescence in a given organ, including the human lung. To overcome this limitation, we developed a Positive-Unlabeled (PU) learning framework to generate a comprehensive senescence marker gene list in human lungs (termed SenSet) using the largest publicly available single-cell lung dataset, the Human Lung Cell Atlas (HLCA). We validated SenSet in a highly complex ex vivo human 3D lung tissue culture model subjected to the senescence inducers bleomycin, doxorubicin, or irradiation, and established its sensitivity and accuracy in characterizing senescence. Using SenSet, we identified and validated cell-type specific senescence signatures in distinct lung cell populations upon aging and environmental exposures. Our study presents the first comprehensive analysis of senescent cells in the healthy aging lung and uncovers cell-specific gene signatures of senescence, presenting fundamental implications for our understanding of major lung diseases, including cancer, fibrosis, chronic obstructive pulmonary disease, or asthma.

genomics↗

Optimal transport for mapping senescent cells in spatial transcriptomics

Spatial transcriptomics (ST) provides a unique opportunity to study cellular organization and cell-cell interactions at the molecular level. However, due to the low resolution of the sequencing data additional information is required to utilize this technology, especially for cases where only a few cells are present for important cell types. To enable the use of ST to study senescence we developed scDOT, which combines ST and single cell RNA-Sequencing (scRNA-Seq) to improve the ability to reconstruct single cell resolved spatial maps. scDOT integrates optimal transport and expression deconvolution to learn non-linear couplings between cells and spots and to infer cell placements. Application of scDOT to existing and new lung ST data improves on prior methods and allows the identification of the spatial organization of senescent cells, the identification of their neighboring cells and the identification of novel genes involved in cell-cell interactions that may be driving senescence.

cell biology↗

Fibroblasts-derived extracellular vesicles contain SFRP1 and mediate pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a lethal and chronic lung disease characterized by aberrant intercellular communication, increased extracellular matrix (ECM) deposition, and destruction of functional lung tissue. Extracellular vesicles (EVs) accumulate within the lung in IPF, but their cargo and biological effects remain unclear. Here, we provide the entire the proteome of EV and non-EV fraction during pulmonary fibrosis, and functionally characterize their contribution to fibrosis. EVs were isolated by differential ultracentrifugation of bronchoalveolar lavage fluid (BALF) collected from mice challenged with bleomycin (or PBS as control) or culture supernatants from primary mouse lung fibroblasts. EVs were characterized by nanoparticle tracking analysis, Western Blotting, and quantitative mass spectrometry to define their proteome. EVs accumulation peaked at 14 days post-bleomycin instillation and correlated with decreased lung function. Label-free proteomics identified 107 proteins specific to fibrotic BALF-EVs. This signature was associated with wound healing, extracellular matrix organization, and cell motility. BALF-EVs from fibrotic lungs promoted fibrogenesis, including induction of ECM proteins in precision cut lung slices ex vivo and impaired alveolar epithelial cell stem cell function. Deconvolution using single cell RNA sequencing datasets revealed that fibroblasts are the major cellular source of BALF-EVs. EVs from fibroblasts were significantly enriched in Secreted Frizzled Related Protein 1 (SFRP1). In the lungs of patients with IPF, SFRP1 was significantly increased in mesenchymal cells. Sfrp1 deficiency reduced the ability of fibroblast-derived EVs to potentiate bleomycin-induced lung fibrosis in vivo and led to a reduction in fibrosis marker gene expression. In sum, EVs carry specific protein cargos, such as SFRP1, to contribute to organ remodeling during fibrosis. Our data identified EVs transporting SFRP1 as a potential therapeutic target for IPF.

cell biology↗

Autocrine Sfrp1 inhibits lung fibroblast invasion during transition to injury induced myofibroblasts

Fibroblast to myofibroblast conversion is a major driver of tissue remodeling in organ fibrosis. Several distinct lineages of fibroblasts support homeostatic tissue niche functions, yet, specific activation states and phenotypic trajectories of fibroblasts during injury and repair have remained unclear. Here, we combined spatial transcriptomics, longitudinal single-cell RNA-seq and genetic lineage tracing to study fibroblast fates during mouse lung regeneration. We discovered a transitional fibroblast state characterized by high Sfrp1 expression, derived from both Tcf21-Cre lineage positive and negative cells. Sfrp1+ cells appeared early after injury in peribronchiolar, adventitial and alveolar locations and preceded the emergence of myofibroblasts. We identified lineage specific paracrine signals and inferred converging transcriptional trajectories towards Sfrp1+ transitional fibroblasts and Cthrc1+ myofibroblasts. Tgf{beta}1 downregulated Sfrp1 in non-invasive transitional cells and induced their switch to an invasive Cthrc1+ myofibroblast identity. Finally, using loss of function studies we showed that autocrine Sfrp1 directly inhibits fibroblast invasion by regulating the RhoA pathway. In summary, our study reveals the convergence of spatially and transcriptionally distinct fibroblast lineages into transcriptionally uniform myofibroblasts and identifies Sfrp1 as an autocrine inhibitor of fibroblast invasion during early stages of fibrogenesis.

cell biology↗

Single cell transcriptome mapping identifies a local innate B cell population driving local antibody production and chronic rejection after lung transplantation

Bronchiolitis obliterans syndrome (BOS) due to chronic rejection is the main reason for poor outcomes after lung transplantation (LTx). We and others have recently identified B cells as major contributors to BOS after LTx. The extent of B cell heterogeneity, however, as well as those B cell populations that determine chronic rejection of the lung, remain entirely unclear. Here, we provide a map of cell population heterogeneity and their gene expression patterns during chronic rejection after orthotopic LTx in mice. Out of a total of 14 major comprehensive cell clusters, corresponding to 11 known major cell subpopulations, Mzb1-expressing plasma cells (PCs) were the most prominently increased cell population in lungs with BOS. Scgb1a1-expressing bronchial epithelial cells were depleted, while Cd14-expressing monocytes and Pdgfra-expressing fibroblasts were enriched in BOS grafts. These findings were validated in two different cohorts of human BOS after LTx. MZB1-IgG-double positive PCs infiltrated the airways of patients with BOS, while they were absent from healthy lungs. IgG, but not IgA, IgD, IgE or IgM, were significantly increased in bronchoalveolar lavage from BOS patients, compared with LTx patients who did not develop BOS. Pseudotime and trajectory analysis revealed that a Bhlhe41, Cxcr3, Itgb1-triple positive-B cell subset, also expressing classical markers of the innate-like B-1 B cell population, served as the progenitor pool for Mzb1+ PCs. This progenitor B cell subset accounted for the increase in IgG2c expression and production in BOS lung grafts. Importantly, Aicda-/- mice, which lack all isotypes of Ig (except IgM) were protected from the onset of BOS after LTx. In summary, we provide a detailed atlas of cell population changes of chronic rejection after LTx. We have identified IgG-positive PCs and their progenitors - an innate B cell subpopulation characterized by a specific subset of markers - as the major source of local antibody production and a major contributor to both mouse and human BOS after LTx.

physiology↗

Wnt/PCP-primed intestinal stem cells directly differentiate into enteroendocrine or Paneth cells

A detailed understanding of intestinal stem cell (ISC) self-renewal and differentiation is required to better treat chronic intestinal diseases. However, different models of ISC lineage hierarchy1-6 and segregation7-12 are debated. Here we report the identification of Lgr5+ ISCs that express Flattop (Fltp), a Wnt/planar cell polarity (PCP) reporter and effector gene. Lineage labelling revealed that Wnt/PCP-activated Fltp+ ISCs are primed either towards the enteroendocrine or the Paneth cell lineage in vivo. Integration of time-resolved lineage labelling with genome-wide and targeted single-cell gene expression analysis allowed us to delineate the ISC differentiation path into enteroendocrine and Paneth cells at the molecular level. Strikingly, we found that both lineages are directly recruited from ISCs via unipotent transition states, challenging the existence of formerly predicted bi- or multipotent secretory progenitors7-12. Transitory cells that mature into Paneth cells are quiescent and express both stem cell and secretory lineage genes, indicating that these cells are the previously described Lgr5+ labelretaining cells7. Wnt/PCP-activated Lgr5+ ISCs are indistinguishable from Wnt/{beta}-catenin-activated Lgr5+ ISCs based on the expression of stem-cell signature or secretory lineagespecifying genes but possess less self-renewal activity. This suggests that lineage priming and cell-cycle exit is triggered at the post-transcriptional level by polarity cues and a switch from canonical to non-canonical Wnt/PCP signalling. Taken together, we identified the Wnt/PCP pathway as a new niche signal and polarity cue regulating stem cell fate. Active Wnt/PCP signalling represents one of the earliest events in ISC lineage priming towards the Paneth and enteroendocrine cell fate, preceding lateral inhibition and expression of secretory lineagespecifying genes. Thus, our findings provide a better understanding of the niche signals and redefine the mechanisms underlying ISC lineage hierarchy and segregation.

developmental biology↗

Organ-restricted vascular delivery of nanoparticles for lung cancer therapy

Nanomedicines hold immense promise for a number of devastating diseases due to the ability to custom-design both the carrier and cargo. However, their clinical implementation has been hampered by physicochemical and biological barriers and off-target deposition which impair cell specific targeting, especially in internal organs. This study reports a new delivery approach using organ-restricted vascular delivery to allow for direct administration and recirculation of stimuli-responsive nanoparticles to promote cellular uptake into an organ of interest. Using this technique, nanoparticles reach the interior of dense tumors and are selectively taken up by lung cancer cells. Importantly, this surgical approach is essential as the same nanoparticles do not reach lung tumor cells upon systemic or intratracheal administration. Organ-restricted vascular delivery thus opens up new avenues for optimized nanotherapies for cancer and other diseases.

pharmacology and toxicology↗

Restored alveolar epithelial differentiation and reversed human lung fibrosis upon Notch inhibition

Alveolar epithelial cell type II (AEC2) injury underlies idiopathic pulmonary fibrosis (IPF). Here we show increased Notch1 signaling in AEC2s in human IPF and IPF models, causing enhanced proliferation and de-differentiation of AEC2s. As a result, we observed defective surfactant protein (SP)-B/C processing, elevated alveolar surface tension, repetitive alveolar collapse and development of lung fibrosis. Similar changes were encountered upon pharmacological inhibition of SP-B/C processing in vivo by pepstatin A. Inhibition of Notch signaling in cultured human IPF precision cut lung slices improved surfactant processing capacity of AEC2s and reversed fibrosis. Notch1 therefore offers as novel therapeutic target.\n\nOne sentence summaryNotch1 inhibition restores alveolar epithelial differentiation and surface tension and reverses matrix deposition in lung fibrosis

cell biology↗

An atlas of the aging lung mapped by single cell transcriptomics and deep tissue proteomics

Aging promotes lung function decline and susceptibility to chronic lung diseases, which are the third leading cause of death worldwide. We used single cell transcriptomics and mass spectrometry to quantify changes in cellular activity states of 30 cell types and the tissue proteome from lungs of young and old mice. Aging led to increased transcriptional noise, indicating deregulated epigenetic control. We observed highly distinct effects of aging on cell type level, uncovering increased cholesterol biosynthesis in type-2 pneumocytes and lipofibroblasts as a novel hallmark of lung aging. Proteomic profiling revealed extracellular matrix remodeling in old mice, including increased collagen IV and XVI and decreased Fraser syndrome complex proteins and Collagen XIV. Computational integration of the aging proteome and single cell transcriptomes predicted the cellular source of regulated proteins and created a first unbiased reference of the aging lung. The lung aging atlas can be accessed via an interactive user-friendly webtool at: https://theislab.github.io/LungAgingAtlas

systems biology↗