Biology subjects

Jimenez, S.

Publications and source records attributed to Jimenez, S..

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

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

InterScale reveals multi-scale cellular interaction programs in spatial transcriptomics

Tissue homeostasis and disease emerge from cell-cell interactions operating across spatial scales: from autocrine and juxtacrine signals within micrometers to paracrine gradients coordinating responses across tissues. While these can be read out from spatial transcriptomics, existing computational methods capture either local adjacency-based or long-range dependencies, but rarely both within a single framework. We introduce InterScale, a graph-transformer approach that jointly models local and global cellular interactions from spatial transcriptomics data. By integrating a Graph Convolutional Network as a local component with a global transformer encoder, InterScale learns multi-scale representations of cellular communication. A downstream workflow enables scale-resolved interpretation of interactions from gene to tissue level. Applied to Sonic Hedgehog morphogen patterning in neural organoids, InterScale resolves spatially restricted neuronal differentiation programs and broader progenitor regulatory states along the morphogen gradient. In a human pancreatic dataset contrasting healthy and type 1 diabetic tissue, it reveals disease-associated spatial reorganization and tissue remodeling. InterScales modular architecture supports diverse spatial transcriptomics platforms and provides a scalable, unbiased, and biologically interpretable framework for studying cellular interactions across scales.

bioinformatics↗

bioRxiv2026

Cross-species single-cell atlases chart progression, therapy-driven remodelling and immune evasion in pancreatic cancer

Pancreatic ductal adenocarcinoma (PDAC) is typically diagnosed at advanced stages, yet single-cell datasets that capture late-stage and treated disease remain sparse, hindering progress in understanding tumour heterogeneity and therapy resistance. Here, we have generated integrated single-cell transcriptomic atlases of human and mouse PDAC to define the cellular and molecular landscape of the disease, from early to advanced and metastatic stages, including post-treatment disease, and to enable direct cross-species comparison. Using scANVI to harmonize 16 human studies comprising 257 donors and representative mouse models (101 tumours), we compiled over 1.6 million cells and established a four-level hierarchical taxonomy of more than 60 distinct cell states spanning malignant, stromal, immune, endothelial, adipose, exocrine and endocrine compartments. We resolve ten malignant programmes linked to progression and uncover rare immune phenotypes, including CD4CD8 double-positive T cells that remain poorly characterized in PDAC. Notably, we show that radiotherapy (RT) exposure is associated with enrichment of an EMT-persistent malignant state and an immunosuppressive microenvironment characterized by expansion of tumour-associated endothelium, depletion of intratumoral T cells and heightened laminin-CD44 signalling, with RT-associated genes linked to adverse prognosis in independent cohorts. Cross-species mapping reveals that orthotopic syngeneic allografts more faithfully recapitulate the cellular diversity and EMT-enriched states of advanced human PDAC, underrepresented in autochthonous genetically engineered models, with differences driven primarily by cell-type composition rather than pathway divergence. Together, these atlases and pretrained models provide a broadly accessible reference for benchmarking PDAC model fidelity and for interrogating mechanisms of tumour progression, microenvironmental remodelling and therapy response and resistance.

cancer biology↗

bioRxiv2025

PHLDA2 promotes breast cancer metastasis by co-opting a developmental program for placental vascular remodeling

Identifying drivers of metastasis is essential for developing new treatments for patients with advanced disease. Here, we identify PHLDA2 as a robust driver of breast cancer metastasis. Previous work established PHLDA2 as an imprinted gene expressed by trophoblasts which are critical for vascular remodeling during placental development. We find that hypomethylation of PHLDA2 in breast tumors correlates with increased gene expression, which is associated with metastasis and poor survival in breast cancer patients. RNA-sequencing showed that PHLDA2 overexpression results in upregulation of genes that control invasion, extracellular matrix assembly, and vascular remodeling, consistent with trophoblast functions in placental development. Using an in vitro vascularized microtumor (VMT) system, we find that PHLDA2 functions through SPARC, which promotes metastasis by inducing vascular permeability and enhancing tumor dissemination. These data suggest that increased expression of PHLDA2 through hypomethylation promotes metastasis by ectopic expression of a developmental program for vascular remodeling.

cancer biology↗

bioRxiv2025

Shear-Induced Macrophage Secretome Promotes Endothelial Permeability

BackgroundDiscrete subaortic stenosis (DSS) is a pediatric cardiovascular disease marked by fibrotic growth within the left ventricular outflow tract (LVOT), leading to severe complications, including left ventricular hypertrophy, aortic regurgitation, and arrhythmias. Despite surgical intervention, a 20-30% recurrence rate suggests a complex underlying pathophysiology. Elevated flow and resultant hemodynamic shear stress within the LVOT are key factors in DSS development. While effects of shear stress on endothelial cells have been studied, the impact on macrophages and their interactions with endothelial cells remains unclear. MethodsIn this study, human monocyte-derived macrophages (MDMs) and human aortic endothelial cells (HAECs) were subjected to shear using a cone-and-plate viscometer. Cellular crosstalk was evaluated through conditioned media (CM) transfers. Gene expression, permeability and chemotaxis assays, immunofluorescent staining, and ELISAs assessed cellular responses. ResultsMDMs exposed to shear stress exhibited a pro-inflammatory response with upregulated TNF and CXCL8 genes. HAECs exposed to MDM-CM showed increased expression of inflammatory markers (VCAM-1, ICAM-1) and decreased VE-Cadherin and CD31, indicating increased permeability. Permeability assays confirmed that HAECs became more permeable when exposed to MDM-CM. Chemotaxis assays showed time-dependent monocyte migration in both MDM-CM and HAEC-CM. Immunofluorescent staining revealed diminished VE-Cadherin and CD31 in HAECs exposed to MDM-CM. ConclusionsOverall, pathological shear stress induced macrophages to secrete factors that increased endothelial permeability and perpetuated an inflammatory response. This interaction likely exacerbates fibrosis in DSS, promoting recurrence post-surgery. Understanding these mechanisms opens potential therapeutic avenues targeting inflammatory crosstalk between macrophages and endothelial cells, which could mitigate fibrosis and improve patient outcomes.

bioengineering↗

bioRxiv2025

Unraveling Enteroendocrine Cell lineage dynamics and associated gene regulatory networks during intestinal development

Enteroendocrine cells (EECs) are rare intestinal epithelial cells producing multiple hormones that regulate essential aspects of digestion and energy. EEC subtypes, their hormone repertoire and differentiation mechanisms from intestinal stem cells have been characterized in the adult intestine. However, although EECs need to be functional from birth, as their absence causes severe intestinal malabsorption in newborns, the mechanisms underlying EEC subtype specification during development are largely unknown. We used mouse embryos, human pluripotent stem cell derived intestinal organoid models and single-cell transcriptomics to characterize EEC lineages and dynamics during development. Our findings demonstrate that in both mice and humans, the majority of EECs are specified during development through similar differentiation trajectories as observed in the adult intestine. This suggests that EEC subtypes specification occurs independently of fully organized crypt-villus structures and stimulation by diet or microbiota. However, the emergence of certain EEC subtypes depends on tissue maturation. Finally, our integrative approach infers lineage-specific regulators dynamically, identifying new candidates controlling EEC differentiation in the developing human gut. HIGHLIGHTSO_LIMost enteroendocrine cells (EECs) are specified during development. C_LIO_LICrypt-villus organization, diet or microbiota are not essential for EEC formation. C_LIO_LIIn pluripotent stem cell derived human intestinal organoids (HIOs), EECs differentiate along 3 main trajectories, one driven by maturation processes. C_LIO_LINovel Gene Regulatory Networks are identified governing human EEC differentiation in HIOs. C_LI

developmental biology↗

bioRxiv2025

Single-cell multiome and spatial profiling reveals pancreas cell type-specific gene regulatory programs driving type 1 diabetes progression

Cell type-specific regulatory programs that drive type 1 diabetes (T1D) in the pancreas are poorly understood. Here we performed single nucleus multiomics and spatial transcriptomics in up to 32 non-diabetic (ND), autoantibody-positive (AAB+), and T1D pancreas donors. Genomic profiles from 853,005 cells mapped to 12 pancreatic cell types, including multiple exocrine sub- types. Beta, acinar, and other cell types, and related cellular niches, had altered abundance and gene activity in T1D progression, including distinct pathways altered in AAB+ compared to T1D. We identified epigenomic drivers of gene activity in T1D and AAB+ which, combined with genetic association, revealed causal pathways of T1D risk including antigen presentation in beta cells. Finally, single cell and spatial profiles together revealed widespread changes in cell-cell signaling in T1D including signals affecting beta cell regulation. Overall, these results revealed drivers of T1D progression in the pancreas, which form the basis for therapeutic targets for disease prevention.

genomics↗

bioRxiv2024

A novel miniaturized filamentous phagemid as a gene delivery vehicle to target mammalian cells

The filamentous phage M13 is a single-stranded DNA phage with several attractive characteristics for gene delivery, including a capsid amenable to the display of foreign peptides, and a simple well-characterized genome that is easy to genetically modify. Previously, we constructed a DNA minivector based on M13 (a miniphagemid), which minimized the inflammatory bacterial and phage DNA content in the vector. In general, DNA minivectors, devoid of their prokaryotic components have shown improved gene transfer and safety. We examined the miniphagemids capacity for in vitro transgene delivery to target cells through phage display of epidermal growth factor to target its cognate receptor. The absence of the prokaryotic backbone and smaller vector size conferred by the miniphagemid was associated with improved transgene expression for purified single-stranded phagemid DNA and phagemid virion particles. We further engineered this system to enhance packaging of DNA minivectors by deletion of the packaging signal within the helper plasmid, used to produce miniphagemids, and observed improved phage-mediated gene expression in mammalian cells. Overall, here, we present a set of novel transgene delivery vectors that combine cell-targeting ligand display and vector minimization. This platform showcases the flexibility of M13 as a gene delivery tool with immense therapeutic potential.

molecular biology↗

bioRxiv2024

Complete mitochondrial genomes of riverine Lamprologus (Actinopterygii, Cichlidae) with an emphasis on the blind cichlid L. lethops

Lamprologine cichlids are a diverse group of fishes distributed in Lake Tanganyika and the Congo River. Nine species of Lamprologus occur in the Congo River basin including the only blind cichlid Lamprologus lethops, but little is known about the natural history and evolution of this enigmatic species. To alleviate this knowledge gap, we characterized the complete mitochondrial genomes of L. lethops and its riverine congeners and provided a phylogenetic hypothesis based on these data. We recovered complete mitochondrial genomes from eleven specimens of eight species of Lamprologus. Mitogenomes were identical in the number and order of genes and similar in size (16,579-16,587 bp). In contrast to previous phylogenomic studies, riverine Lamprologus were recovered in two non-sister mitochondrial lineages that were more closely related to other genera of Lake Tanganyika lamprologines than to each other. In the first lineage, most relationships were not highly supported. In the second lineage, L. lethops was recovered as the sister species of L. markerti, L. mocquardi and L. tigripictilis. Interestingly, sequences from L. mocquardi were found in the two mitochondrial lineages. Our results hint at multiple events of past introgression and highlight the importance of increasing taxonomic and genomic sampling to study complex evolutionary histories.

evolutionary biology↗

bioRxiv2024

Rescue of lysosomal acid lipase deficiency in mice by rAAV8 liver gene transfer.

Lysosomal acid lipase deficiency (LAL-D) is an autosomal recessive disorder caused by mutations in the LIPA gene, which results in lipid accumulation leading to multi-organ failure. If left untreated, the severe form of LAL-D results in premature death within the first year of life due to failure to thrive and hepatic insufficiency. Enzyme replacement therapy is the only available supportive treatment consisting in weekly systemic injections of recombinant LAL protein. Here, we characterized a novel Lipa-/- mouse model and developed a curative gene therapy treatment based on the in vivo administration of recombinant (r)AAV8 vector encoding the human LIPA transgene under the control of a hepatocyte-specific promoter. We defined the minimal rAAV8 dose required to rescue disease lethality and to correct cholesterol and triglyceride accumulation in multiple organs and blood. Finally, using liver transcriptomic and biochemical analysis, we showed mitochondrial impairment in Lipa-/- mice and its recovery by gene therapy. Overall, our in vivo gene therapy strategy achieves a stable long-term LAL expression sufficient to correct the disease phenotype in the Lipa-/-mouse model and offers a new therapeutic option for LAL-D patients. One Sentence SummaryWeve developed a liver-targeted gene therapy using recombinant AAV8 to effectively cure Lysosomal acid lipase deficiency by correcting lipid accumulation and by normalizing gene expression pattern and mitochondrial function in Lipa-/- mouse model.

molecular biology↗

bioRxiv2023

Model integration of circadian and sleep-wake driven contributions to rhythmic gene expression reveals novel regulatory principles

Transcriptome studies aim at gaining insight into the molecular pathways underlying biological processes. Analyses of gene-expression dynamics in research on circadian rhythms and sleep homeostasis describe these two processes independently, using separate models such as sinusoidal oscillations and exponential saturating functions. Rhythmically expressed genes are, however, influenced by both processes. We therefore implemented a driven, damped harmonic oscillator model which can accommodate both types of dynamics by varying the degree of damping. This makes it possible to estimate the contribution of circadian and sleep-wake driven influences on the expression of a gene within the framework of a single model. We applied the model to cortex, liver, and blood data obtained in mice and humans. The model reliably captured a wide range of rhythmic dynamics under various experimental conditions, including the long-term amplitude reduction of cortical clock-gene rhythms observed after sleep deprivation. Cortical gene expression was generally influenced more by sleep-wake driven than circadian factors, while the opposite was observed in liver and blood. Importantly, the model suggested that sleep-wake state can alter gene expression with a delayed, long-lasting response not previously considered. Our model further predicted that, perhaps paradoxically, the gain in sleep time after sleep deprivation, delayed re-establishing baseline expression rhythms of intrinsically oscillatory transcripts indicating that similar to insufficient sleep, also excess sleep can impact rhythmic gene expression. Because of the tissue- and gene-specific responses, sleep deprivation led to a profound intra- and inter-tissue desynchronization which in the cortex lasted well beyond phenotypic sleep-wake recovery. The results demonstrate that analyzing rhythmic gene expression must take the complex interactions between circadian and sleep-wake influences into account. The model is a versatile tool with a low number of free parameters to fit and predict gene expression under a variety of conditions relevant to society.

systems biology↗

bioRxiv2023

miR-203 drives breast cancer cell differentiation

A hallmark of many malignant tumors is dedifferentiated (immature) cells bearing slight or no resemblance to the normal cells from which the cancer originated. Tumor dedifferentiated cells exhibit a higher capacity to survive to chemo and radiotherapies and have the ability to incite tumor relapse. Inducing cancer cell differentiation would abolish their self-renewal and invasive capacity and could be combined with the current standard of care, especially in poorly differentiated and aggressive tumors (with worst prognosis). However, differentiation therapy is still in its early stages and the intrinsic complexity of solid tumor heterogeneity demands innovative approaches in order to be efficiently translated into the clinic. We demonstrate here that microRNA 203, a potent driver of differentiation in pluripotent stem cells (ESCs and iPSCs), promotes the differentiation of mammary gland tumor cells. Combining mouse in vivo approaches and both mouse and human-derived tridimensional organoid cultures, we report here that miR-203 influences the self-renewal capacity, plasticity and differentiation potential of breast cancer cells, and prevents tumor cell growth in vivo. Our work sheds light on differentiation-based antitumor therapies and offers miR-203 as a promising tool for directly confronting the tumor-maintaining and regeneration capability of cancer cells.

cancer biology↗

bioRxiv2022

Cortical miR-709 links glutamatergic signaling to NREM sleep EEG slow waves in an activity-dependent manner

MicroRNAs (miRNAs) are key post-transcriptional regulators of gene expression that have been implicated in a plethora of neuronal processes. Nevertheless, their role in regulating brain activity in the context of sleep has so far received little attention. To test their involvement, we deleted mature miRNAs in post-mitotic neurons at two developmental ages, i.e., in early adulthood using conditional Dicer knockout (cKO) mice and in adult mice using an inducible conditional Dicer cKO (icKO) line. In both models, electroencephalographic (EEG) activity was affected and the response to sleep deprivation (SD), altered; while rapid-eye-movement sleep (REMS) rebound was compromised in both, EEG delta (1-4 Hz) power during non-REM sleep (NREMS) was reduced in cKO mice and increased in icKO mice. We subsequently investigated the effects of SD on the miRNA transcriptome and found that the expression of 48 forebrain miRNAs was affected, in particular, the activity-dependent miRNA miR-709. In vivo inhibition of miR-709 in the brain increased EEG power during NREMS in the slow-delta (0.75-1.75 Hz) range, particularly after periods of prolonged wakefulness. Transcriptome analysis of primary cortical neurons in vitro revealed that miR-709 regulates endosomal trafficking and glutamatergic receptor activity. A subset of the genes involved in glutamatergic transmission was affected also in the cortices of sleep-deprived, miR-709-inhibited mice. Our data implicate miRNAs in the regulation of EEG activity and indicate that miR-709 links neuronal excitability during wakefulness to brain synchrony during sleep, likely through the regulation of endosomal trafficking and glutamatergic signaling. Significance StatementMicroRNAs (miRNAs) are key regulators of gene expression playing vital roles both in postnatal brain development and its functioning in adult organisms. Here, we highlight a fundamental role for miRNAs in shaping EEG slow waves, which reflect synchronous neuronal firing, characteristic of NREM sleep (NREMS) in the adult murine cortex. Disruption of the miRNA-biogenesis machinery affected brain synchrony differently, depending on when it occurred during development. Moreover, sleep deprivation altered the expression of several miRNAs in a brain-region specific manner. Among those, we identified miR-709 to affect the expression of genes involved in endosomal-trafficking and glutamatergic-transmission, thereby linking neuronal activity during wakefulness to slow EEG waves during subsequent sleep. The current study causally implicates this specific miRNA and the molecular pathways it targets in modifying the generation of NREMS EEG slow waves, which are important in synaptic plasticity and brain functioning.

neuroscience↗

bioRxiv2022

Characterization of cell-fate decision landscapes by estimating transcription factor dynamics.

Modulation of gene expression during differentiation by transcription factors promotes cell diversity. Despite their role in cell fate decisions, no experimental assays estimate their regulatory activity in a high-throughput manner and at the single-cell resolution. We present FateCompass for identifying lineage-specific transcription factors across differentiation. It uses single-cell transcriptomics data to infer differentiation trajectories and transcription factor activities. We combined a probabilistic framework with RNA velocities or a differentiation potential to estimate transition probabilities and perform stochastic simulations. Also, we learned transcription factor activities using a linear model of gene regulation. Considering dynamic changes and correlations, we identified lineage-specific regulators. We applied FateCompass to an islet cell formation dataset from the mouse embryo, and we found known and novel potential cell-type drivers. Also, when applied to a differentiation protocol dataset towards beta-like cells, we pinpointed undescribed regulators of an off-target population, which were experimentally validated. Thus, as a framework for identifying lineage-specific transcription factors, FateCompass could have implications on hypothesis generation to increase the understanding of the gene regulatory networks driving cell fate choices. HighlightsO_LIWe developed FateCompass, a flexible pipeline to estimate transcription factor activities during cell-fate decision using single-cell RNA seq data. C_LIO_LIFateCompass outlines gene expression stochastic trajectories by infusing the direction of differentiation using RNA velocity or a differentiation potential when RNA velocity fails. C_LIO_LITranscription factor dynamics allow the identification of time-specific regulatory interactions. C_LIO_LIFateCompass predictions revealed known and novel cell-subtype-specific regulators of mouse pancreatic islet cell development. C_LIO_LIDifferential motif analysis predicts lineage-specific regulators of stem cell-derived human {beta}- cells and sheds light on the cellular heterogeneity of {beta}-cell differentiation protocols. C_LIO_LIExperimental validation supports the proposed GRN controlling SC-EC differentiation predicted by FateCompass. C_LI

systems biology↗

bioRxiv2022

Social closeness modulates brain dynamics during distrust anticipation

Anticipation of trust from a partner with high social closeness generates the preconditions for cooperative and reciprocal interactions to occur. However, if there is uncertainty in the interaction because the partner is a stranger or because the person has mistrusted us on another occasion, an aversive experience is generated. Hence, low social closeness or mistrust makes people keep track of the others behavior. In case of experiencing deviations from social norms, the person will monitor the intentions of the partner and update their priors regarding their social preferences. The anterior insula (AIns) seems to be sensitive to these social norm violations in functional magnetic resonance imaging (fMRI) experiments, however, the monitoring of partners with different levels of social closeness has not been investigated. In our study we wanted to find the brain regions related to (dis)trust anticipation from partners who differ in their level of social closeness. For this, we designed an experiment in which participants played an economic decision game with three people (trustors): A computer, a stranger, and a real friend. We covertly manipulated their decisions in the game so that they unexpectedly distrusted our participants. Using task-fMRI, our whole-brain analysis found that the AIns was active during the anticipation of the decisions from human partners (humans vs computer), but not during anticipation between high and low social closeness (friend vs stranger). However, using a psychophysiological interaction analysis, we found increases in functional coupling between the AIns and regions in the "mentalizing" network (such as temporal regions and parieto-occipital cortices) during trust anticipation between a high versus low social closeness partner. These results suggest that there may be a modulation of the AIns activity, specifically for high social closeness trustors, by regions that encode the intentions underlying the truster behavior.

neuroscience↗

bioRxiv2021

Aβ oligomers trigger necroptosis-mediated neurodegeneration via microglia activation in Alzheimer's disease.

Alzheimers disease (AD) is a major adult-onset neurodegenerative condition with no available treatment. Compelling reports point amyloid-{beta} (A{beta}) as the main etiologic agent that triggers AD. Although there is extensive evidence of detrimental crosstalk between A{beta} and microglia that contributes to neuroinflammation in AD, the exact mechanism leading to neuron death remains unknown. Using postmortem human AD brain tissue, we show that A{beta} pathology is associated with the necroptosis effector pMLKL. Moreover, we found that the burden of A{beta}o correlates with the expression of key markers of necroptosis activation. Additionally, inhibition of necroptosis by pharmacological or genetic means, reduce neurodegeneration and memory impairment triggered by A{beta}o in mice. Since microglial activation is emerging as a central driver for AD pathogenesis, we then tested the contribution of microglia to the mechanism of A{beta}o-mediated necroptosis activation in neurons. Using an in vitro model, we show that conditioned medium from A{beta}o-stimulated microglia elicited necroptosis in neurons through activation of TNF- signaling, triggering extensive neurodegeneration. Notably, necroptosis inhibition provided significant neuronal protection. Together, these findings suggest that A{beta}o-mediated microglia stimulation in AD contributes to necroptosis activation in neurons and neurodegeneration. As necroptosis is a druggable degenerative mechanism, our findings might have important therapeutic implications to prevent the progression of AD.

cell biology↗

bioRxiv2021

Extensive NEUROG3 occupancy in the human pancreatic endocrine gene regulatory network

ObjectiveMice lacking the bHLH transcription factor (TF) Neurog3 do not form pancreatic islet cells, including insulin secreting beta cells, causing diabetes. In human, homozygous mutations of NEUROG3 manifest with neonatal or childhood diabetes. Despite this critical role in islet cell development, the precise function and downstream genetic programs regulated directly by NEUROG3 remain elusive. We therefore mapped genome-wide NEUROG3 occupancy in human induced pluripotent stem cell (iPSC)-derived endocrine progenitors and determined NEUROG3 dependency of associated genes to uncover direct targets. MethodsWe generated a novel hiPSC line (NEUROG3-HA-P2A-Venus), where NEUROG3 is HA-tagged and fused to a self-cleaving fluorescent VENUS reporter. We used the CUT&RUN technique to map NEUROG3 occupancy and epigenetic marks in pancreatic endocrine progenitors (PEP) differentiated from this hiPSC line. We integrated NEUROG3 occupancy data with chromatin status and gene expression in PEPs and their NEUROG3-dependence. In addition, we searched whether NEUROG3 binds type 2 diabetes mellitus (T2DM)-associated variants at the PEP stage. ResultsCUT&RUN revealed a total of 863 NEUROG3 binding sites assigned to 1268 unique genes. NEUROG3 occupancy was found at promoters as well as at distant cis-regulatory elements frequently overlapping within PEP active enhancers. De novo motif analyses defined a NEUROG3 consensus binding motif and suggested potential co-regulation of NEUROG3 target genes by FOXA, RFX or PBX transcription factors. Moreover, we found that 22% of the genes downregulated in NEUROG3-/- hESC-derived PEPs are bound by NEUROG3 and thus likely to be directly regulated. NEUROG3 targets include transcription factors known to have important roles in islet cell development or function, such as NEUROD1, PAX4, NKX2-2, SOX4, MLXIPL, LMX1B, RFX3, and NEUROG3 itself. Remarkably, we uncovered that NEUROG3 binds transcriptional regulator genes with enriched expression in human fetal pancreatic alpha (e.g., IRX1, IRX2), beta (e.g., NKX6-1, SMAD9, ISX, TFCP2L1) and delta cells (ERBB4) suggesting that NEUROG3 could control islets subtype programs. Moreover, NEUROG3 targets genes critical for insulin secretion in beta cells (e.g., GCK, ABCC8/KCNJ11, CACNA1A, CHGA, SCG2, SLC30A8 and PCSK1). In addition, we unveiled a panel of ncRNA potentially regulated by NEUROG3. Lastly, we identified several T2DM risk SNPs within NEUROG3 peaks suggesting a possible developmental role of NEUROG3 in T2DM susceptibility. ConclusionMapping of NEUROG3 genome occupancy in PEPs uncovers an unexpectedly broad, direct control of the endocrine gene regulatory network (GRN) and raises novel hypotheses on how this master regulator controls islet and beta cell differentiation. HighlightsO_LINEUROG3 CUT&RUN analysis revealed 1268 target genes in human pancreatic endocrine progenitors (PEPs) C_LIO_LINEUROG3 binding sites overlap with active chromatin regions in PEPs. C_LIO_LI1/5 of the genes downregulated in NEUROG3-/- hESC-derived PEPs are bound by NEUROG3. C_LIO_LINEUROG3 targets islet specific TFs and regulators of insulin secretion. C_LIO_LISeveral T2DM risk allelles lie within NEUROG3 bound regions. C_LI

genomics↗