Biology subjects

Poschmann, J.

Publications and source records attributed to Poschmann, J..

18 recordsLinked to original sources

bioRxiv2026

The PGC-1α Gly482Ser rs8192678 SNP reprograms oxidative metabolism to favor energy storage in females

The Gly482Ser SNP (rs8192678) in the peroxisome proliferator-activated receptor gamma coactivator 1 alpha (PPARGC1A) gene has been associated with obesity, type 2 diabetes and other human metabolic diseases. In this study, we found that human iPSCs carrying a serine risk allele had reduced respiratory capacity, and individuals living with overweight or obesity homozygous for the serine allele (S/S) exhibited a preference for carbohydrate oxidation following a high-fat meal. Using a PGC-1Ser481Gly knock-in mouse model, we performed metabolic phenotyping of male and female mice carrying the three genotypes (G/G, S/G, S/S) under acute nutritional challenges (chow, fasting and high-fat high-sugar (HFHS) feeding) and chronic HFHS feeding. S/S females were heavier and showed a trend toward an increased respiratory exchange ratio (RER) during fasting, with greater weight gain and fat mass following chronic HFHS feeding. Transcriptomic analyses revealed tissue-specific reprogramming of mitochondrial oxidative pathways, that were downregulated in subcutaneous adipose tissue and liver while upregulated in muscle, with the strongest effects observed in S/S females. Together, these findings provide in vivo evidence that this SNP reprograms whole-body oxidative metabolism, with a net effect of favoring carbohydrate oxidation and energy conservation, particularly in females.

physiology↗

bioRxiv2026

Cross-species chromatin accessibility pinpoints HIVEP3 as a driver of thymic epithelial maturation and self-antigen expression, preventing chronic inflammation

Promiscuous expression of tissue-specific antigens (TSAs) by medullary thymic epithelial cells (mTECs) underpins central T-cell tolerance, relying on NF-{kappa}B-driven mTEC maturation and induction of the autoimmune regulator AIRE. However, a substantial fraction of TSAs is AIRE-independent, implying additional regulators that remain only partially identified. Using cross-species single-cell chromatin accessibility profiling of human and mouse TECs, we find that HIVEP motifs are among the most accessible regulatory elements across the mTEC lineage. Among HIVEP paralogs, HIVEP3 is robustly expressed in mature mTECs across human, mouse and rat; given that rat immunity more closely mirrors human physiology than the mouse, we generated a CRISPR Hivep3-knockout rat line. Hivep3 deletion impairs mTEC maturation, reduces Aire expression and reshapes the TSA repertoire that underlies negative selection and Treg induction, as Hivep3 constrains canonical NF-{kappa}B1 and sustains non-canonical NF-{kappa}B2, the principal mediator of mTEC maturation. Beyond mTECs, Hivep3 deficiency downregulates Foxn1 target genes in cortical TECs and impairs positive selection. In the periphery, Hivep3-KO rats show reduced splenic CD4 T-cells, a shift from naive towards effector-and central-memory phenotypes, increased regulatory T-cells, and a sustained Th1-biased serum profile (elevated IFN-{gamma}, reduced IL-17A) with concurrent systemic metabolic perturbations across all ages. With age, this culminates in chronic inflammation, with multi-organ CD3 T-cell infiltration accompanied by inflammatory lesions. Together, these findings establish HIVEP3 as a previously unrecognised regulator of thymic epithelial function and central tolerance, whose deficiency leads to systemic T-cell-mediated chronic inflammation.

immunology↗

bioRxiv2026

A JAK-STAT-activated myeloid hub at ulceration sites underlies resistance to anti-TNF therapy in Crohn's disease

Despite major advances in immunotherapies, durable disease control in immune-mediated inflammatory diseases (IMIDs) is frequently limited by resistance driven by maladaptive immune programs, resulting in progressive tissue damage. Myeloid cells are central effectors across IMIDs, including inflammatory bowel disease (IBD), yet how discrete myeloid states govern disease progression and therapeutic response remains incompletely defined. Here, using integrative single-cell transcriptomic and molecular analyses of inflamed human ileum in Crohns disease (CD), we identify combinatorial transcriptional programs that revealed previously unrecognized axes of monocyte-macrophage (mo-mac) heterogeneity. These myeloid states and programs were conserved and validated across multiple independent cohorts. We delineate a pathogenic mo-mac subset, interferon-associated inflammatory monocytes (IFIM), shaped by convergent NF-{kappa}B and IFN{gamma} signaling and enriched in advanced disease. Baseline abundance of IFIM programs predicted resistance to anti-TNF therapy and severe postoperative recurrence, with IFIM-derived ligands sustaining epithelial injury. IFIM exhibited robust JAK-STAT activation, indicating susceptibility to JAK inhibition with clinically approved agents, including upadacitinib. Exemplified by IFIM-driven inflammation, these findings identify pathogenic myeloid state remodeling as a molecular basis of anti-TNF resistance and provide a framework for mechanism-guided therapeutic strategies across chronic inflammatory diseases.

immunology↗

bioRxiv2025

Inference and validation of a dynamic gene regulatory network influencing cell fate during Duchenne muscular dystrophy initiation

The onset of gene regulatory disturbances leading to developmental disorders remains poorly understood, particularly when symptoms begin after birth. Using induced pluripotent stem cells, single-cell transcriptomics and computational modeling, we determined the gene expression waves guiding early myogenesis and how they are affected by a disease-causing mutation. We uncovered a dynamic gene regulatory network organized in two kernels that function as a toggle-switch controlling stochastic cell fate decisions. In cells derived from patients with Duchenne muscular dystrophy, these waves of regulation are less pronounced and the switch remains in the OFF state with a higher probability, resulting in convergence into a restricted cell fate. Experimental reactivation of the switch through RNA interference led to a rescued transcriptomic state and to a refined network topology. This work uncovers a dynamic regulatory mechanism underlying early cell fate divergence and provides a general framework to infer and validate dynamic gene regulatory networks involved in disease initiation.

bioinformatics↗

bioRxiv2025

PU.1 Shapes Host Epigenetic Responses to Mycobacterium tuberculosis and Represents a Target for Host Directed Therapy

Mycobacterium tuberculosis (Mtb) infection induces widespread epigenetic changes in monocytes and macrophages. To characterize the critical factor responsible for Mtb-induced epigenetic responses, we performed an integrative analyses of chromatin modification (H3K27ac), transcription factor binding, and gene expression in human monocytes and macrophages. Our data identified PU.1 (SPI1) as a key transcriptional regulator to be upregulated and bound to gene promoters in response to Mtb. PU.1 enrichment was associated with enhanced proinflammatory and anti-apoptotic gene programs. PU.1 expression was also elevated in the lung tissues from Mtb-infected macaques and tuberculosis patients. PU.1 knockdown enhanced human macrophage apoptosis, dampened inflammation and reduced bacterial survival, suggesting its functional role in supporting Mtb infection. Pharmacological inhibition of PU.1 replicated the effects of knockdown, restricting Mtb growth without cytotoxicity. These findings identify PU.1 as a central node in the host epigenetic response to Mtb and a candidate for host-directed therapeutic targeting in tuberculosis.

immunology↗

bioRxiv2025

Disease Severity Across Psychiatric Disorders Is Linked to Pro-Inflammatory Cytokines

ImportanceNumerous studies indicate that the traditional categorical classification of severe mental disorders (SMD), such as schizophrenia, bipolar disorders, and major depressive disorders, does not align with the underlying biology of those disorders as they frequently overlap in terms of symptoms and risk factors. ObjectiveThis study aimed to identify transdiagnostic patient clusters based on disease severity and explore the underlying biological mechanisms independently of the traditional categorical classification. DesignWe utilized data from 443 participants diagnosed with SMD of the PsyCourse Study, a longitudinal study with deep phenotyping across up to four visits. We performed longitudinal clustering to group patients based on symptom trajectories and cognitive performance. The resulting clusters were compared on cross-sectional variables, including independent measures of severity as well as polygenic risk scores, serum protein quantification, miRNA expression, and DNA methylation. ResultsWe identified two distinct clusters of patients that exhibited marked differences in illness severity but did not differ significantly in age, sex, or diagnostic proportions. We found 19 serum proteins significantly dysregulated between the two clusters. Functional enrichment pointed to a convergence of immune system dysregulation and neurodevelopmental processes. ConclusionThe observed differences in serum protein expression suggest that disease severity is associated with the convergence of immune system dysregulation and neurodevelopmental alterations, particularly involving pathways related to inflammation and brain plasticity. The identification of pro-inflammatory proteins among the differentially expressed markers underscores the potential role of systemic inflammation in the pathophysiology of SMD. These results highlight the importance of considering illness severity as a core dimension in psychiatric research and clinical practice and suggest that targeting immune-related mechanisms may offer promising new therapeutic avenues for patients with SMD. Key points QuestionCan analyzing symptom trajectories and cognitive profiles across diagnostic categories reveal clinically relevant subgroups in severe mental disorders? FindingsIn this longitudinal study of 443 individuals with severe mental disorders, two distinct clusters emerged, differing significantly in illness severity, with the more severe group displaying elevated pro-inflammatory serum proteins, suggesting an association between disease severity and inflammation. MeaningThese findings suggest that transdiagnostic clustering clarifies shared mechanisms, underscores the importance of inflammation in severe mental disorders, and highlights a promising avenue for novel therapeutic approaches.

immunology↗

bioRxiv2024

β-glucan reprograms alveolar macrophages via neutrophil/IFNγ axis to promote lung injury

Alveolar macrophages (AMs) reside in the lower airways and play a crucial role in lung health and response to sterile inflammation and infections. AMs possess remarkable adaptability to different environmental challenges that can persist through their memory capacity (trained immunity). {beta}-glucan has been characterized as a potent inducer of central trained immunity by reprogramming hematopoietic stem cells (HSCs) in the bone marrow. In the present study, we show that systemic administration of {beta}-glucan induces peripheral trained immunity by reprogramming alveolar macrophages (AMs) in the lungs, in a Dectin1-independent manner. We furthermore demonstrate that AM reprogramming at both the transcriptional and metabolic levels exacerbate lung injury following bacterial (LPS) or viral (polyI:C) challenges via a neutrophil/IFN-{gamma} dependent manner. These findings identify an additional facet of {beta}-glucan in trained immunity involving AM reprogramming and shed light on the potential detrimental effects of trained immunity.

immunology↗

bioRxiv2024

TDG orchestrates ATF4-dependent gene transcription during retinoic acid-induced cell fate acquisition

Acquisition of cell identity is associated with a remodeling of the epigenome in part through active DNA demethylation. The T:G mismatch DNA glycosylase (TDG) participates to this process by removing 5-methylcytosines that have been oxidized by Ten-Eleven-Translocation (TET) enzymes. Despite this well-defined molecular function, a comprehensive view of the biological function of TDG is still lacking, especially during cell differentiation. Here, we combined transcriptomic and epigenomic approaches in a Tdg knock-out epiblast stem-like cell model to decipher TDG function in pluripotent cells and their retinoic acid-induced progeny. We determined that TDG occupies a majority of active promoters, a large fraction of which are also engaged by the transcription factor ATF4. Consistently, neural fate commitment upon retinoic acid treatment is associated with a TDG-dependent sustained expression of ATF4-dependent genes, in relation with a TDG-associated nucleosome positioning at promoters. We further evidenced that TDG maintains ATF4 pathway activity by positively regulating the mammalian target of rapamycin complex 1 (mTORC1), favoring neural cell fate commitment. These observations highlight the central role of TDG in cell differentiation and support a model linking metabolic reprogramming to cell fate acquisition.

genomics↗

bioRxiv2024

Transcriptomic, clonal, and functional analyses reveal Liver tissue-imprinted immuno-profile of circulating autoreactive CD4 T cells in autoimmune liver diseases

Autoimmune liver diseases (AILD) are immune-mediated disorders in which CD4 T cells play a central role. However, the link between circulating self-antigen-specific CD4 T cells and the targeted tissue has not been extensively studied in AILD. We hypothesized that circulating autoreactive CD4 T cells were clonally and functionally related to dominant intra-hepatic pathogenic CD4 T cell clones. Single cell transcriptomic analysis of circulating self-antigen-specific CD4 T cells revealed a specific B-helper and immuno-exhausted transcriptional profile, which was conserved for different autoantigens, but distinct from several other types of foreign antigen specificities. In the blood, the dominant hepatic CD4 T cell clones had a similar transcriptomic signature and were enriched in the PD-1+ TIGIT+ HLA-DR+ CD4 T cell subset. In a mouse model, antigen-specific CD4 T cells acquired the immuno-exhausted transcriptional profile when they accumulated in the liver after local antigen reactivity. Locally, immune checkpoint molecules controlled the response of antigen-specific CD4 T cells responsible for liver damage. Our study reveals the origin and biology of liver-derived autoreactive CD4 T cells in the blood of AILD patients that are imprinted by the liver environment, and suggest a dysregulation of the immune checkpoint molecules pathways. Our study enables tracking and isolating circulating autoreactive CD4 T cells for future diagnostic and therapeutic purposes.

immunology↗

bioRxiv2023

Combinatory differentiation of human induced pluripotent stem cells generates thymic epithelium that supports thymic crosstalk and directs dendritic- and CD4/CD8 T-cell full development

The thymus is a primary lymphoid organ playing a crucial role in immune tolerance, by educating thymocytes through a selection mediated by thymic epithelial cells (TEC). Recent advances in gene editing and immunotherapies have made in vitro generation of iPSC-derived T cells a crucial issue with promising therapeutic applications. Current state-of-the-art approaches often fail to accurately replicate the thymic niche, resulting in impaired T cell generation, particularly for CD4+ T cells. Here we address the production of functional mature iPSc-derived TECs that are able to support in vitro T cell generation. We designed a protocol allowing iPSc differentiation into thymic epithelial progenitors (TEP) through an unbiased multifactorial method based on optimal experimental design. Modulation of signaling pathways known to regulate embryonic thymus organogenesis resulted in the obtention of TEPs expressing typical thymic markers. We achieved TEP maturation into medullary and cortical TECs by setting up a hydrogel-based 3D culture supplemented in RANK ligand, resulting in the formation of thymic organoids. To assess the functionality of the generated TECs, primary hematopoietic progenitors were co-cultured in the organoids and showed significantly improved maturation in single-positive CD4 or CD8 T cells. Remarkably, our thymic organoid model shows multilineage differentiation potential, with generation of distinct dendritic cells populations in addition to the T lineages. Thus, generation of functional TECs and thymic organoids offers a practical platform for the study of thymic cellular interactions and paves the road to future cellular therapies by producing mature thymic immune cells of clinical interest.

immunology↗

bioRxiv2023

A gene-expression module in circulating immune cells is associated with cell migration during immune diseases.

Circulating immune cells are critical mediators of inflammation upon recruitment to tissues, yet how their gene expression state influences this recruitment is not well understood. Here, we report longitudinal single-cell transcriptome profiling of peripheral blood mononuclear cells in patients undergoing kidney transplantation rejection. We identify a novel gene expression module, termed ALARM (early activation transcription factor module), associated with transcriptional regulation, homing, and immune activation across multiple immune cell types. Circulating cells expressing this module are significantly reduced in patients experiencing graft rejection, a finding confirmed in a pig model of acute kidney transplantation rejection. Correspondingly, module expression is markedly increased in kidney grafts undergoing rejection, indicating preferential recruitment of ALARM-expressing cells to the inflamed tissue. Within this module, we identify the receptor CXCR4 and its ligand CXCL12, expressed in the graft, as a likely mechanism for recruitment. In vitro transwell assays combined with scRNA-seq reveal that this CXCR4-CXCL12 interaction is critical for T cell migration and upregulation of CD69, an early activation marker, and is accompanied by a metabolic switch towards glycolysis. Further exploration of publicly available transcriptomic data demonstrates that this module is generally expressed in healthy individuals and is strongly associated with responses to infection, including SARS-CoV-2 infection. This finding is further supported by experiments in a pneumonia mouse model, which confirm the recruitment of CXCR4-expressing T cells during lung infection. Moreover, we find that module expression is predictive of immune-mediated diseases. In summary, we have identified a key gene expression module in circulating immune cells that orchestrates their preferential recruitment to inflamed tissues, metabolic reprogramming, promoting tissue residency and effector functions. These insights advance our understanding of immune cell recruitment and activation mechanisms in transplant rejection and infectious diseases, with potential implications for therapeutic interventions.

immunology↗

bioRxiv2022

Latent representation of single-cell transcriptomes enables algebraic operations on cellular phenotypes

Single-cell RNA-sequencing (scRNA-seq) coupled with robust computational analysis facilitates the characterization of phenotypic heterogeneity within tumors. Current scRNA-seq analysis pipelines are capable of identifying a myriad of malignant and non-malignant cell subtypes from single-cell profiling of tumors. However, given the extent of intra-tumoral heterogeneity, it is challenging to assess the risk associated with individual cell subpopulations, primarily due to the complexity of the cancer phenotype space and the lack of clinical annotations associated with tumor scRNA-seq studies. To this end, we introduce SCellBOW, a scRNA-seq analysis framework inspired by document embedding techniques from the domain of Natural Language Processing (NLP). SCellBOW is a novel computational approach that facilitates effective identification and high-quality visualization of single-cell subpopulations. We compared SCellBOW with existing best practice methods for its ability to precisely represent phenotypically divergent cell types across multiple scRNA-seq datasets, including our in-house generated human splenocyte and matched peripheral blood mononuclear cell (PBMC) dataset. For tumor cells, SCellBOW estimates the relative risk associated with each cluster and stratifies them based on their aggressiveness. This is achieved by simulating how the presence or absence of a specific cell subpopulation influences disease prognosis. Using SCellBOW, we identified a hitherto unknown and pervasive AR-/NElow (androgen-receptor-negative, neuroendocrine-low) malignant subpopulation in metastatic prostate cancer with conspicuously high aggressiveness. Overall, the risk-stratification capabilities of SCellBOW hold promise for formulating tailored therapeutic interventions by identifying clinically relevant tumor subpopulations and their impact on prognosis.

bioinformatics↗

bioRxiv2022

Deciphering transcriptional networks during human cardiac development

Human heart development is governed by transcription factor (TF) networks controlling dynamic and temporal gene expression alterations. Therefore, to comprehensively characterize these transcriptional regulations, day-to-day transcriptomic profiles were generated throughout the directed cardiac differentiation, starting from three distinct human induced pluripotent stem cell lines from healthy donors (32 days). We applied an expression-based correlation score to the chronological expression profiles of the TF genes, and clustered them into 12 sequential gene expression waves. We then identified a regulatory network of more than 23 000 activation and inhibition links between 216 TFs. Within this network, we observed previously unknown inferred transcriptional activations linking IRX3 and IRX5 TFs to three master cardiac TFs: GATA4, NKX2-5 and TBX5. Luciferase and co-immunoprecipitation assays demonstrated that these 5 TFs could (1) activate each others expression, (2) interact physically as multiprotein complexes and (3) together, finely regulate the expression of SCN5A, encoding the major cardiac sodium channel. Altogether, these results unveiled thousands of interactions between TFs, generating multiple robust hypotheses governing human cardiac development.

developmental biology↗

bioRxiv2021

CD4+ and CD8+ regulatory T cells characterization in the rat using a unique transgenic Foxp3-EGFP model.

BackgroundCD4+ and CD8+ regulatory T cells (Treg) in diverse species include different subsets from different origins. In all species, CD8+ Treg have been poorly characterized. CD4+ and CD8+ Treg in rats have only partially been characterized and there is no rat model in which FOXP3+ Treg are genetically tagged. ResultsWe generated a rat transgenic line using the CRISPR/Cas9 system in which EGFP was inserted in frame on the 3 end of the Foxp3 gene using a 2A self-cleaving peptide. EGFP was exclusively expressed by CD4+ and CD8+ T cells in similar proportion as observed with anti-FOXP3 antibodies. CD4+EGFP+ Treg were 5-10 times more frequent than CD8+EGFP+ Treg. CD4+ and CD8+ EGFP+ Treg expressed both the CD25highCD127lowCD45RClow/- markers. The suppressive activity of CD4+ and CD8+ Treg was largely confined to EGFP+ cells. RNAseq analyses showed similarities but also differences among CD4+ and CD8+ EGFP+ cells and provided the first description of the natural FOXP3+ CD8+ Treg transcriptome. In vitro culture of CD4+ and CD8+ EGFP- cells with TGFbeta and IL-2 resulted in the induction of EGFP+ Treg. Preferential expansion of CD4+ and CD8+ EGFP+ Treg could be detected upon in vivo administration of a low dose of IL-2. ConclusionsThis new and unique Foxp3-EGFP rat line constitutes a useful model to identify and isolate viable natural and induced CD4+ and CD8+ Treg. Additionally, it allows to identify new molecules expressed in CD8+ Treg that may allow to better define their phenotype and function not only in rats but also in other species.

immunology↗

bioRxiv2019

Dendritic cells require TMEM176A/B ion channels for optimal MHC II antigen presentation to naive CD4+ T cells

Intracellular ion fluxes emerge as critical actors of immunoregulation but still remain poorly explored. Here we investigated the role of the redundant cation channels TMEM176A and TMEM176B (TMEM176A/B) in ROR{gamma}t+ cells and conventional dendritic cells (cDCs) using germline and conditional double knock-out (DKO) mice. While Tmem176a/b appeared surprisingly dispensable for the protective function of Th17 and group 3 innate lymphoid cells (ILC3s) in the intestinal mucosa, we found that they were required in cDCs for optimal antigen processing and presentation to CD4+ T cells. Using a real-time imaging method, we show that TMEM176A/B accumulate in dynamic post-Golgi vesicles preferentially linked to the late endolysosomal system and strongly colocalize with HLA-DM. Together, our results suggest that TMEM176A/B ion channels play a direct role in the MHC II compartment (MIIC) of DCs for the fine regulation of antigen presentation and naive CD4+ T cell priming.

immunology↗

bioRxiv2019

Histone acetylome-wide association study of tuberculosis

Host-cell chromatin changes are thought to play an important role in the pathogenesis of infectious diseases. Here, we describe the first histone acetylome-wide association study (HAWAS) of an infectious disease, based on genome-wide H3K27 acetylation profiling of peripheral granulocytes and monocytes from subjects with active Mycobacterium tuberculosis (Mtb) infection and healthy controls. We detected >2,000 differentially acetylated loci in either cell type in a Chinese discovery cohort, which were validated in a subsequent multi-ethnic cohort, thus demonstrating that HAWAS can be independently corroborated. Acetylation changes were correlated with differential gene expression in a third cohort. Differential acetylation was enriched near potassium channel genes, including KCNJ15, which modulated Akt-mTOR signaling and promoted Mtb clearance in vitro. We performed histone acetylation QTL analysis on the dataset and identified candidate causal variants for immune phenotypes. Our study serves as proof-of-principle for HAWAS to infer mechanisms of host response to pathogens.

immunology↗

bioRxiv2018

Genome-wide DNA methylation profiling identifies convergent molecular signatures associated with idiopathic and syndromic forms of autism in postmortem human brain tissue.

Autism spectrum disorder (ASD) encompasses a collection of complex neuropsychiatric disorders characterized by deficits in social functioning, communication and repetitive behavior. Building on recent studies supporting a role for developmentally moderated regulatory genomic variation in the molecular etiology of ASD, we quantified genome-wide patterns of DNA methylation in 233 post-mortem tissues samples isolated from three brain regions (prefrontal cortex, temporal cortex and cerebellum) dissected from 43 ASD patients and 38 non-psychiatric control donors. We identified widespread differences in DNA methylation associated with idiopathic ASD (iASD), with consistent signals in both cortical regions that were distinct to those observed in the cerebellum. Individuals carrying a duplication on chromosome 15q (dup15q), representing a genetically-defined subtype of ASD, were characterized by striking differences in DNA methylation across a discrete domain spanning an imprinted gene cluster within the duplicated region. In addition to the dramatic cis-effects on DNA methylation observed in dup15q carriers, we identified convergent methylomic signatures associated with both iASD and dup15q, reflecting the findings from previous studies of gene expression and H3K27ac. Cortical co-methylation network analysis identified a number of co-methylated modules significantly associated with ASD that are enriched for genomic regions annotated to genes involved in the immune system, synaptic signalling and neuronal regulation. Our study represents the first systematic analysis of DNA methylation associated with ASD across multiple brain regions, providing novel evidence for convergent molecular signatures associated with both idiopathic and syndromic autism.

genomics↗

bioRxiv2017

A histone acetylome-wide association study of Alzheimer’s disease: neuropathology-associated regulatory variation in the human entorhinal cortex

Alzheimers disease (AD) is a chronic neurodegenerative disorder characterized by the progressive accumulation of amyloid-{beta} (A{beta}) plaques and neurofibrillary tangles in the neocortex. Recent studies have implicated a role for regulatory genomic variation in AD progression, finding widespread evidence for altered DNA methylation associated with neuropathology. To date, however, no study has systematically examined other types of regulatory genomic modifications in AD. In this study, we quantified genome-wide patterns of lysine H3K27 acetylation (H3K27ac) - a robust mark of active enhancers and promoters that is strongly correlated with gene expression and transcription factor binding - in entorhinal cortex samples from AD cases and matched controls (n = 47) using chromatin immunoprecipitation followed by highly parallel sequencing (ChIP-seq). Across ~182,000 robustly detected H3K27ac peak regions, we found widespread acetylomic variation associated with AD neuropathology, identifying 4,162 differential peaks (FDR < 0.05) between AD cases and controls. These differentially acetylated peaks are enriched in disease-specific biological pathways and include regions annotated to multiple genes directly involved in the progression of A{beta} and tau pathology (e.g. APP, PSEN1, PSEN2, MAPT), as well as genomic regions containing variants associated with sporadic late-onset AD. This is the first study of variable H3K27ac yet undertaken in AD and the largest study investigating this modification in the entorhinal cortex. In addition to identifying molecular pathways associated with AD neuropathology, we present a framework for genome-wide studies of histone modifications in complex disease, integrating our data with results obtained from genome-wide association studies as well as other epigenetic marks profiled on the same samples.

genomics↗