Biology subjects

Adam, L.

Publications and source records attributed to Adam, L..

13 recordsLinked to original sources

bioRxiv2026

A perturbation atlas of mouse neural organoids resolves macroglial reactivity and nominates drivers of degeneration

Understanding neuro-glial roles in homeostasis and disease requires scalable central nervous system (CNS) models, particularly as macroglia like astrocytes and Muller glia remain challenging to study in slow-developing human systems. Here, we generate and map the cellular diversity of mouse neural organoids spanning multiple brain regions and the retina. Benchmarking transcriptomic maturation against in vivo references captures postnatal neuro-macroglial states within a month. We show that macroglia are highly responsive to inflammatory cues and adopt specific transcriptomic states also found in vivo. Through a single-cell perturbation screen targeting 13 Muller-glia-specific pathways, we map how certain inflammatory cytokines drive degeneration-like stress programs in photoreceptors and distinct reactive states in Muller glia, including an Oncostatin M-driven chaperone-associated state. Mechanistically, we identify gp130-STAT3 signaling as a targetable driver of macroglial reactivity and photoreceptor distress. Together, these single-cell atlases provide a foundation for dissecting cellular crosstalk and neuro-glial pathology in the mature CNS.

neuroscience↗

bioRxiv2026

Lactate promotes IL-8 secretion in human alveolar macrophages through GPR132 and lipid metabolic reprogramming

Alveolar macrophages are the primary lung immune cell. They play a crucial role in both maintenance of tissue homeostasis and the initiation of inflammation, secreting multiple immune mediators including the chemokine interleukin-8 (IL-8). Inflammatory settings are often characterised by tissue hypoxia, increased glycolytic rates and lactate secretion, yet how lactate influences alveolar macrophage function remains unclear. Here we investigated how lactate, once considered a waste-product, shapes alveolar macrophage function. To do so, primary human alveolar macrophages (hAMs) and a combination of flow cytometry, ELISA/Luminex, western blot, light microscopy, bioluminescence resonance energy transfer (BRET) and analysis of publicly available datasets were used to understand the role of lactate in lung pathological environments. We demonstrate that hAMs sense extracellular lactate via the expression of different lactate transporters (e.g. MCT1, MCT4) and receptors (i.e. GPR132). Lactate treatment of hAMs increased IL-8 secretion in a MCT1-dependent manner. Lipid metabolism and lipid droplet formation, as well as direct lactate-driven GPR132 signalling were required for lactate-dependent IL-8 release. Our findings uncover a previously unrecognised dual mechanism by which lactate orchestrates immune regulation in hAMs. Specifically, lactate-driven IL-8 production requires two distinct lactate-driven processes: uptake via MCT1, which reprograms lipid metabolism, and signaling through the lactate receptor GPR132. This functional integration of lactate transport and receptor-mediated signaling provides new mechanistic insight into lactates role in hAM biology and highlights potential targets for therapeutic intervention.

immunology↗

bioRxiv2025

Unveiling Distinct Neuroimmune Responses in Mouse Models of Cervical Spinal Cord Injury: Hemisection versus Hemicontusion

Traumatic cervical spinal cord injury (cSCI) causes severe neurological deficits and long-term disability. Preclinical models such as cervical 2 (C2) hemisection (C2HS), resulting in disrupted communication between the respiratory centers and the phrenic motoneurons (PMN) pool, have been used since decades to study respiratory dysfunction and neuroinflammation after cSCI. Recently, contusive injuries such as C3 hemi-contusion (C3HC) have been increasingly used, as they induce phrenic motoneuron damage and offer a more clinically relevant model of SCI. However, these two different models may engage distinct pathophysiological cascades, raising concerns about the generalizability of findings across injury paradigms. In this study, we compared neuroimmune responses following C2HS or C3HC in mice. Animals underwent C2HS or C3HC, and spinal cord segments (C1-C8) were collected seven days post-injury for immuno-histological analyses around the lesion level and flow cytometry analyses at the lesion level. We observed that C2HS preserved more neurons and exhibited elevated CD86 and F4/80 expression. These markers are typically expressed by activated microglia and are indicative of a response oriented toward phagocytic and reparative functions. This phenotype was associated with limited pro-inflammatory cell infiltration and normalized level of systemic IL-6 in this model. Conversely, C3HC induced more extensive tissue damage, heightened microglial activation, a trend toward increased astrocytic reactivity, and significantly elevated CSPG levels on the contralateral side. Moreover, a persistent NK cell, neutrophil, and CD43 antigen-presenting cells infiltration, along with persistently high circulating IL-6 has been observed following C3HC. These findings demonstrate distinct neuroinflammatory signatures and repairing mechanisms between models, with C2HS promoting a microglia profile toward repair and C3HC leading to a prolonged and potentially harmful immune response. This study underscores, for the first time, how injury type shapes neuroimmune mechanisms, reinforcing the need for lesion-specific therapeutic strategies in cervical spinal cord injury. Highlight- C2 hemisection and C3 hemi-contusion trigger distinct neuroimmune responses in mice. - C2HS preserves ventral neurons and upregulates CD86 and F4/80, suggesting repair-oriented microglia. - C3HC induces CSPG accumulation, dendritic-like cell infiltration and prolonged systemic inflammation. - Injury model influences neuroimmune environment and regenerative potential after cervical SCI.

neuroscience↗

bioRxiv2024

Amyloid Beta Precursor Protein contributes to brain aging and learning decline in short-lived turquoise killifish (Nothobranchius furzeri)

Brain aging is a key risk factor for many neurodegenerative diseases, yet its molecular and cellular mechanisms remain elusive. Amyloid-beta precursor protein (APP) is among the most studied proteins linked to brain pathology; however, its role in non-pathological brain aging remains poorly characterized. Here, we investigate the natural impact of APP on normal brain aging using the short-lived turquoise killifish (Nothobranchius furzeri), which exhibits rapid and spontaneous age-related decline. We found that a pyroglutamated APP derivative (APPpE11) accumulates intra-neuronally in an age-dependent manner, co-localizing with a marker of cell death. We found that intraneuronal APPpE11 is also present in brains from healthy elderly humans, suggesting deep evolutionary conservation. To determine APPs role in spontaneous brain aging, we knock-out "amyloid precursor protein a" (appa) in killifish via CRISPR/Cas9. The lack of appa mitigated brain aging from a proteome-wide perspective, reduced age-related cell death and inflammation, and improved neuronal activity and learning capacity in aged individuals. Our findings show an ancestral and previously unrecognized role of amyloid-beta precursor protein in non-pathological brain aging, making it an ideal target for anti-aging interventions.

neuroscience↗

bioRxiv2024

Exploiting facial side similarities to improve AI-driven sea turtle photo-identification systems

AO_SCPLOWBSTRACTC_SCPLOWAnimal Photo-identification (photo-ID) denotes the process of identifying individual animals based on their unique and stable morphological characteristics. It has been proven to be a particularly useful tool for a variety of studies on sea turtles increasing the knowledge of their ecology and informing conservation efforts. The photo-ID process in sea turtles is predominantly based on the geometric patterns of the scales of their two head sides which are unique to every individual, and also different from side to side. As such, both manual and automated photo-ID techniques are performed under a side-specific image retrieval setting. There, a query image showing a single profile of an unknown individual, either left or right, is only compared to images of previously identified individuals showing the same side. Here, by employing the recently introduced state-of-the-art deep feature extractor MegaDescriptor, we show for the first time an inherit deep visual similarity between left and right facial profiles of the same individuals in three sea turtle species. We show that the similarity between the left and right profiles of the same individual with respect to geometry, coloration and pigmentation, is on average higher than the similarity between profiles of different individuals. The similarity is detectable even when images are taken years apart and under diverse settings and conditions. We perform several image retrieval experiments under scenarios which mimic realistic sea turtle photo-ID matching processes, where we also allow comparisons of opposite sides in the matching process which have no spatial overlap. We show that the detection and exploitation of this similarity is translated to improved accuracies when compared to the traditional side-specific image retrieval setting. Notably this similarity cannot be detected and thus neither explored by the so-far state-of-the-art sea turtle photo-ID automated methods such as those based on SIFT. Our work leads to a change of paradigm for the sea turtle photo-ID workflows which will be further facilitated by the constant improvement of deep feature-based re-identification methods and paves the path for adopting similar workflows in other animal species as well.

ecology↗

bioRxiv2023

Specific inhibition of α-synuclein oligomer generation and toxicity by the chaperone domain Bri2 BRICHOS

Understanding the molecular mechanisms of neurodegenerative diseases and finding efficient treatments have been major priorities for research and society, yet new therapeutic approaches remain essential to face the socio-economic burden caused by these devastating diseases. Protein misfolding and aggregation are involved in several neurodegenerative disorders, such as -synuclein (Syn) implicated in Parkinsons disease. Elucidating the microscopic nucleation mechanisms has opened new opportunities to develop therapeutics against toxic mechanisms and species. Here, we show that naturally occurring molecular chaperones, represented by the anti-amyloid Bri2 BRICHOS domain, can be used to target Syn-associated nucleation processes and structural species related to neurotoxicity. Our findings revealed that BRICHOS predominately suppresses the formation of new nucleation units on the fibrils surface (secondary nucleation), in addition to fibril-end elongation. This mechanism implies a drastic decrease of the oligomer generation rate. Besides targeting secondary nucleation sites on the fibril surface, BRICHOS directly binds to oligomeric Syn species. Further, using ex vivo experiments, BRICHOS effectively diminishes Syn fibril-related toxicity to hippocampal electrophysiology. Our studies show that molecular chaperones can be utilized as tools to target molecular processes and structural species related to Syn neurotoxicity and have the potential as protein-based treatments against neurodegenerative disorders.

biophysics↗

bioRxiv2023

An integrated transcriptomic cell atlas of human endoderm-derived organoids

Human stem cells can generate complex, multicellular epithelial tissues of endodermal origin in vitro that recapitulate aspects of developing and adult human physiology. These tissues, also called organoids, can be derived from pluripotent stem cells or tissue-resident fetal and adult stem cells. However, it has remained difficult to understand the precision and accuracy of organoid cell states through comparison with primary counterparts, and to comprehensively assess the similarity and differences between organoid protocols. Advances in computational single-cell biology now allow the integration of datasets with high technical variability. Here, we integrate single-cell transcriptomes from 218 samples covering organoids of diverse endoderm-derived tissues including lung, pancreas, intestine, liver, biliary system, stomach, and prostate to establish an initial version of a human endoderm organoid cell atlas (HEOCA). The integration includes nearly one million cells across diverse conditions, data sources and protocols. We align and compare cell types and states between organoid models, and harmonize cell type annotations by mapping the atlas to primary tissue counterparts. To demonstrate utility of the atlas, we focus on intestine and lung, and clarify ontogenic cell states that can be modeled in vitro. We further provide examples of mapping novel data from new organoid protocols to expand the atlas, and showcase how integrating organoid models of disease into the HEOCA identifies altered cell proportions and states between healthy and disease conditions. The atlas makes diverse datasets centrally available, and will be valuable to assess organoid fidelity, characterize perturbed and diseased states, and streamline protocol development.

cell biology↗

bioRxiv2023

Human intestinal organoids with an autologoustissue-resident immune compartment

The intimate relationship between the epithelium and the immune system is crucial for maintaining tissue homeostasis, with perturbations in epithelial-immune interactions linked to autoimmune disease and cancer. Whereas stem cell-derived organoids are powerful models of tissue-specific epithelial function, these structures lack tissue-resident immune cells that are essential for capturing organ-level processes. We describe human intestinal immuno-organoids (IIOs), formed through self-organization of epithelial organoids and autologous tissue-resident lymphocytes (TRMs), a portion of which integrate within the IIO epithelium and survey the barrier. IIO formation was driven by TRM migration and interaction with epithelial cells, as orchestrated by TRM-enriched transcriptomic programs governing cell motility and epithelial inspection. We combined IIOs and single-cell transcriptomics to investigate intestinal inflammation triggered by cancer-targeting biologics in patients, and found that the system recapitulates clinical outcomes and the underlying cellular mechanisms. Inflammation was associated with the emergence of an activated population of CD8+ T cells, which progressively acquired intraepithelial and cytotoxic features. The appearance of this effector population was preceded and likely mediated by a Th1-like CD4+ population, which initially displayed a cytokine-producing character and subsequently became cytotoxic itself. A system amenable to direct perturbation and interrogation, IIOs allowed us to identify the Rho pathway as a novel target for mitigating immunotherapy-associated intestinal inflammation. Given that they recapitulate both the phenotypic outcomes and the underlying inter-lineage immune interactions, IIOs can be used to broadly study tissue-resident immune responses in the context of tumorigenesis, infectious and autoimmune diseases.

immunology↗

bioRxiv2022

A social media-based framework for quantifying temporal changes to wildlife viewing intensity: Case study of sea turtles before and during COVID-19

Documenting how human pressure on wildlife changes over time is important to minimise potential adverse effects through implementing appropriate management and policy actions; however, obtaining objective measures of these changes and their potential impacts is often logistically challenging, particularly in the natural environment. Here, we developed a modular stochastic model that infers the ratio of actual viewing pressure on wildlife in consecutive time periods (years) using social media, as this medium is widespread and easily accessible. Pressure was calculated from the number of times individual animals appeared in social media in pre-defined time windows, accounting for time-dependent variables that influence them (e.g. number of people with access to social media). Formulas for the confidence intervals of viewing pressure ratios were rigorously developed and validated, and corresponding uncertainty was quantified. We applied the developed framework to calculate changes to wildlife viewing pressure on loggerhead sea turtles (Caretta caretta) at Zakynthos island (Greece) before and during the COVID-19 pandemic (2019-2021) based on 2646 social media entries. Our model ensured temporal comparability across years of social media data grouped in time window sizes, by correcting for the interannual increase of social media use. Optimal sizes for these windows were delineated, reducing uncertainty while maintaining high time-scale resolution. The optimal time window was around 7-days during the peak tourist season when more data were available in all three years, and >15 days during the low season. In contrast, raw social media data exhibited clear bias when quantifying changes to viewing pressure, with unknown uncertainty. The framework developed here allows widely-available social media data to be used objectively when quantifying temporal changes to wildlife viewing pressure. Its modularity allowed viewing pressure to be quantified for all data combined, or subsets of data (different groups, situations or locations), and could be applied to any site supporting wildlife exposed to tourism.

ecology↗

bioRxiv2021

Dynamics of SARS-CoV-2 host cell interactions inferred from transcriptome analyses

The worldwide spread of severe acute respiratory syndrome-related coronavirus-2 (SARS-CoV-2) caused an urgent need for an in-depth understanding of interactions between the virus and its host. Here, we dissected the dynamics of virus replication and the host cell transcriptional response to SARS-CoV-2 infection at a systems level by combining time-resolved RNA sequencing with mathematical modeling. We observed an immediate transcriptional activation of inflammatory pathways linked to the anti-viral response followed by increased expression of genes involved in ribosome and mitochondria function, thus hinting at rapid alterations in protein production and cellular energy supply. At later stages, metabolic processes, in particular those depending on cytochrome P450 enzymes, were downregulated. To gain a deeper understanding of the underlying transcriptional dynamics, we developed an ODE model of SARS-CoV-2 infection and replication. Iterative model reduction and refinement revealed that a negative feedback from virus proteins on the expression of anti-viral response genes was essential to explain our experimental dataset. Our study provides insights into SARS-CoV-2 virus-host interaction dynamics and facilitates the identification of druggable host pathways supporting virus replication.

systems biology↗

bioRxiv2020

LOX-1+ immature neutrophils predict severe COVID-19 patients at risk of thrombotic complications

RationalLymphopenia and neutrophil/lymphocyte ratio may have prognostic value in coronavirus disease 2019 (COVID-19) severity. ObjectiveWe sought to investigate the representation of neutrophil subsets in severe and critical COVID-19 patients based on Intensive Care Units (ICU) and non-ICU admission. MethodsWe developed a multi-parametric neutrophil profiling strategy based on known neutrophil markers to distinguish COVID-19 phenotypes in critical and severe patients. ResultsOur results showed that 80% of ICU patients develop strong myelemia with CD10-CD64+ immature neutrophils. Cellular profiling revealed two distinct neutrophil subsets expressing either the lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1) or the Interleukin-3 receptor alpha (CD123), both significantly overrepresented in ICU patients compared to non-ICU patients. The proportion of LOX-1-expressing immature neutrophils positively correlated with clinical severity, with the cytokine storm (IL-1{beta}, IL-6, IL-8, TNF), and with intravascular coagulation. Importantly, high proportions of LOX-1+-immature neutrophils are associated with high risks of severe thrombosis. ConclusionsTogether these data suggest that point of care enumeration of LOX-1-immature neutrophils might help distinguish patients at risk of thrombosis complication and most likely to benefit from intensified anticoagulant therapy.

immunology↗

bioRxiv2020

Automated screening by 3D light-sheet microscopy with high spatial and temporal resolution reveals mitotic phenotypes

3D cell cultures enable the in vitro study of dynamic biological processes such as the cell cycle, but their use in high-throughput screens remains impractical with conventional fluorescent microscopy. Here, we present a screening workflow for the automated evaluation of mitotic phenotypes in 3D cell cultures by light-sheet microscopy. After sample preparation by a liquid handling robot, three-dimensional cell spheroids are imaged for 24 hours in toto with a dual inverted selective plane illumination (diSPIM) microscope with a much improved signal-to-noise ratio, higher imaging speed, isotropic resolution and reduced light exposure compared to a spinning disc confocal microscope. A dedicated high-content image processing pipeline implements convolutional neural network based phenotype classification. We illustrate the potential of our approach by siRNA knock-down and epigenetic modification of 28 mitotic target genes for assessing their phenotypic role in mitosis. By rendering light-sheet microscopy operational for high-throughput screening applications, this workflow enables target gene characterization or drug candidate evaluation in tissue-like 3D cell culture models.

cell biology↗

bioRxiv2019

Dissecting the structural and functional roles of a vicinal iron-binding site in encapsulated ferritins

Encapsulated ferritins belong to the universally distributed ferritin superfamily, which function as iron detoxification and storage systems. Encapsulated ferritins have a distinct annular structure and must associate with an encapsulin nanocage to form a competent iron store that is capable of holding significantly more iron than classical ferritins. The catalytic mechanism of iron oxidation in the ferritin family is still an open question, due to differences in organization of the ferroxidase catalytic site and secondary metal binding sites vicinal to this. We have previously identified a metal binding site on the inner surface of the Rhodospirillum rubrum encapsulated ferritin at the interface between the two-helix subunits and proximal to the ferroxidase center. Here we present a comprehensive structural and functional study to investigate the functional relevance of this proposed iron entry site by means of enzymatic assays, mass-spectrometry, and X-ray crystallography. We show that catalysis occurs in the ferroxidase center and suggest a dual role for the secondary site, which both serves to attract metal ions to the ferroxidase center and acts as a flow-restricting valve to limit the activity of the ferroxidase center. Moreover, confinement of encapsulated ferritins within the encapsulin nanocage, while enhancing the ability of the encapsulated ferritin to undergo catalysis, does not influence the function of the secondary site.

biochemistry↗