Biology subjects

Yoon, S.

Publications and source records attributed to Yoon, S..

At least 37 records · Page 2Linked to original sources

bioRxiv2025

Acute induction of IFNα is responsible for the attenuation of the live measles vaccine

The live-attenuated measles vaccine (LAMV) protects against measles in a safe, efficacious and durable manner. However, the mechanism by which LAMV is attenuated is not well understood, contributing to the increased vaccine hesitancy that has caused a worldwide resurgence of measles. Here, we provide a molecular model of attenuation that implicates increased host innate immune responses and increased LAMV susceptibility to those responses. Our study leverages both in vitro and in vivo models of infection to find that acute induction of innate immunity in immune cells is the critical determinant of LAMV attenuation. We show that LAMV, in contrast to pathogenic wild type measles virus (MeV), causes a strong IFN response in primary human peripheral blood mononuclear cells, which restricts viral replication and spread in a post-entry manner. LAMV can enter, transcribe viral mRNA and translate viral proteins in immune cells, but is not able to form infectious particles and spread from cell to cell. Specifically, we find that mutations conserved across LAMV strains in the P/V/C and H genes are responsible for the induction of IFN and the restriction of infectious virus production. In PBMC cultures and in rhesus macaques, LAMV infection also results in the acute induction of proinflammatory cytokines that likely play a role in the immunogenicity of the vaccine. Overall, our study provides a virological and immunological framework for LAMV attenuation which can be leveraged in repurposing the LAMV backbone and in future vaccine design.

microbiology↗

bioRxiv2025

Single-Allele Chromatin Tracing Reveals Genomic Clustering of Paralogous Transcription Factors as a Mechanism for Developmental Robustness in T Cells

In metazoans, gene duplication has given rise to paralogous transcription factors, which have functionally diversified to control cellular differentiation. While the majority of paralogous TFs are dispersed across different chromosomes, some remain clustered raising the question of whether genomic proximity confers any evolutionary advantage for TF clusters. To address this, we investigated a [~]1 Mbp locus containing two ETS family paralogs, Ets1 and Fli1. Using a sub-diffraction sequential imaging technique called Optical Reconstruction of Chromatin Architecture (ORCA), we traced the 3D organization of this region in single alleles of T cells from genetically engineered mice with targeted deletions of key regulatory elements. In wild-type T cells, the predominant chromatin conformation spatially links Ets1 to its proximal super-enhancer, segregating Ets1 from Fli1. This topology correlates with high Ets1 and low Fli1 expression. Deletion of the Ets1 super-enhancer abolishes this configuration, triggering locus-wide architectural rewiring that increases Ets1-Fli1 promoter-promoter interactions and subsequently the co-expression of two genes within individual cells. Remarkably, this compensatory interaction bypasses insulated chromatin domains, sustaining Ets1 levels necessary for T cell development despite enhancer loss. Our results reveal that genomic clustering of TF paralogs enables dynamic architectural plasticity: while a super-enhancer fine-tunes paralog expression balance in wild-type contexts, its deletion unmasks latent promoter-driven coordination, suggesting that proximity safeguards functional redundancy and transcriptional resilience critical for cellular fitness.

genomics↗

bioRxiv2025

Structural insight into the substrate binding of the AMT complex via an inhibitor-trapped state

N6-adenine (6mA) DNA methylation plays an important role in gene regulation and genome stability. The 6mA methylation in Tetrahymena thermophila is mainly mediated by the AMT complex, comprised of the AMT1, AMT7, AMTP1 and AMTP2 subunits. To date, how this complex assembles on the DNA substrate remains elusive. Here we report the structure of the AMT complex bound to the OCR protein from bacteriophage T7, mimicking the AMT-DNA encounter complex. The AMT1-AMT7 heterodimer approaches OCR from one side, while AMTP1 N-terminal domain, assuming a homeodomain fold, binds to OCR from the other side, resulting in a saddle-shaped architecture reminiscent of what was observed for prokaryotic 6mA writers. Mutation of the AMT1, AMT7 and AMTP1 residues on the OCR-contact points led to impaired DNA methylation activity to various extents, supporting a role for these residues in DNA binding. Furthermore, structural comparison of the AMT1-AMT7 subunits with the evolutionarily related METTL3-METTL14 and AMT1-AMT6 complexes reveal sequence conservation and divergence on the region corresponding to the OCR-binding site, shedding light onto the substrate binding of the latter two complexes. Together, this study suggests a substrate binding-induced open-to-closed conformational transition of the AMT complex, with implications in its substrate binding and processive 6mA methylation.

biochemistry↗

bioRxiv2025

InferPloidy: A fast ploidy inference tool accurately classifies cells with abnormal CNVs in large single-cell RNA-seq datasets

BackgroundAccurate inference of copy number variation (CNV) and ploidy from single-cell RNA-seq data is essential for resolving tumor heterogeneity and identifying malignant cells, yet existing tools such as CopyKat and SCEVAN are limited by long runtimes and reduced accuracy in large or heterogeneous datasets. ResultsHere, we present InferPloidy, a high-speed and robust ploidy inference method built on InferCNV that combines graph-based cell-grouping with iterative Gaussian mixture modeling. Across multiple cancer types--breast cancer, non-small cell lung cancer, pancreatic ductal adenocarcinoma, and colorectal cancer--InferPloidy achieved up to two orders of magnitude faster runtimes than existing tools, while maintaining superior classification accuracy. This accurate separation of aneuploid tumor cells enabled the discovery of subtype-specific therapeutic targets, including ERBB2, ESR1, EGFR, and MET, as well as recurrent surfaceome markers such as CD82, F11R, SLC2A1, TM9SF2, CXADR, and PLPP2, several of which have preclinical or clinical relevance. ConclusionThese results establish InferPloidy as a scalable platform for CNV-guided tumor cell identification and surfaceome-based biomarker discovery, offering broad utility for precision oncology and translational research.

bioinformatics↗

bioRxiv2025

Impairment of homeostatic structural plasticity caused by the autism and schizophrenia-associated 16p11.2 duplication

Homeostatic plasticity is essential for information processing and the stability of neuronal circuits, however its relevance to neuropsychiatric disorders remains unclear. The 16p11.2 duplication (BP4-BP5) is a genetic risk factor that strongly predisposes to a range of severe mental illnesses including autism, schizophrenia, intellectual disability, and epilepsy. The duplication consists of a 600 kb region on chromosome 16, including 27 protein-coding genes, with poorly defined effects on neuronal structure and function. Here, we used a mouse model of the 16p11.2 duplication to investigate the impact of this variant on synaptic structure and downstream homeostatic plasticity. We find that 16p11.2 duplication neurons exhibit overly branched dendritic arbors and excessive spine numbers, which host an overabundance of surface AMPA receptor subunit GluA1. Using a homeostatic plasticity paradigm, we show that 16p11.2 duplication neurons fail to undergo synaptic upscaling upon activity deprivation, consistent with disrupted structural plasticity. We also observe that the increased surface abundance of GluA1 occludes further insertion events, a critical mechanism for synaptic plasticity. Finally, we show that genetically correcting the dosage of 16p11.2-encoded Prrt2 to wild-type levels rescues structural spine phenotypes. Our work suggests that aberrant plasticity could contribute to the etiology of neuropsychiatric disorders.

neuroscience↗

bioRxiv2025

The Lipidome Landscape of Amiodarone Toxicity: An in vivo Lipid-centric Multi-Omics Study

Amiodarone is an effective therapy for arrhythmias, its prolonged management may lead to significant adverse drug reactions. Amiodarone-induced hepatoxicity is described by phospholipidosis, hepatic steatosis, cholestatic hepatitis, and cirrhosis. However, the systemic and hepatic lipidome disturbances and underlying toxicological mechanisms remain comprehensively elucidated. Untargeted lipidomics were utilized to analyze serum and liver samples from the rats orally administered a daily dose of amiodarone of either 100 or 300 mg/kg for one week. Changes in the expression of hepatic lipid-related genes were also examined utilizing transcriptomics. We found a higher magnitude of lipidome alterations in the 300 mg/kg than those in the 100 mg/kg groups. Treated animals showed elevated abundances of phosphatidylcholines, ether-linked phosphatidylcholines, sphingomyelins, and ceramides, and decreased levels of triacylglycerols, ether-linked triacylglycerols, and fatty acids. We also found 199 lipid-related differentially expressed hepatic genes between the 300 mg/kg group versus controls, implying lipid metabolism and signaling pathways disturbances. Specifically, elevation of serum phosphatidylcholines and ether-linked phosphatidylcholines, as well as hepatic bismonoacylglycerophosphates were associated with reduced expression of phospholipase genes and elevated expression of glycerophospholipid biosynthesis genes, possibly driving phospholipidosis. Perturbations of sphingolipid metabolism might also be the key events for amiodarone-induced toxicity. Alterations in gene expression levels related to lipid storage and metabolism, mitochondria functions, and energy homeostasis were also found. Collectively, our study characterized the sophisticated perturbations in the lipidome and transcriptome of amiodarone-treated rats and suggested potential mechanisms responsible for amiodarone-induced hepatotoxicity.

pharmacology and toxicology↗

bioRxiv2024

Hydrogen-dependent dissimilatory nitrate reduction to ammonium enables growth of Campylobacterota isolates

Dissimilatory nitrate reduction to ammonium (DNRA) is a key process in global nitrogen cycling, supporting the energy conservation of diverse microbes. For a long time, DNRA has been thought to primarily depend on organic electron donors, and thus to be governed by carbon-to-nitrogen (C:N) ratios. However, recent studies suggest that inorganic electron donors, such as sulfur compounds and iron, may also facilitate DNRA. The coupling of DNRA with molecular hydrogen (H2) oxidation is theoretically feasible, but largely unexplored microbial process. Here, we report the isolation of two Campylobacterota strains, Aliarcobacter butzleri hDNRA1 and Sulfurospirillum sp. hDNRA2, that grow by using H2 as an electron donor for DNRA. In both batch and continuous cultures, DNRA sensu stricto, i.e., NO2--to-NH + reduction, depended on the presence of H2 and was stoichiometric with H2 oxidation. The electrons for NO - reduction were clearly derived from H, and hydrogenotrophic DNRA was largely unaffected by the ratio of either carbon or electron donor to NO -/NO -. Genomic and transcriptomic analyses indicate that group 1b [NiFe]-hydrogenase and cytochrome c552 nitrite reductase are the key enzymes catalyzing hydrogenotrophic DNRA. These findings reveal novel physiological mechanisms enabling anaerobic bacterial growth, challenge the traditional C:N ratio paradigm, and uncover new biogeochemical processes and mediators controlling the global nitrogen and hydrogen cycles.

microbiology↗

bioRxiv2024

Selective enrichment of Methylococcaceae versus Methylocystaceae methanotrophs via control of methane feeding scheme

Methanotrophs are crucial in keeping environmental CH4 emissions in check. However, how different groups of methanotrophs contribute to this important role in different environmental settings remain ambiguous. Here, in a simplified laboratory setting of well-mixed batch reactors fed continuous flow of CH4-containing gas, methanotrophic microbiomes were enriched from paddy soils under six different incubation conditions prepared as combinations of two different CH4 mixing ratios (0.5% and 10% v/v) and three supplemented Cu2+ concentrations (0, 2, and 10 M). Monitoring of the temporal community shifts in the reactor microbiomes observed domination of Methylocystis spp. in all three reactors fed 0.5% v/v, as further supported by the analyses of pmoCAB genes in the shotgun metagenomes of the single-point samples from the same reactors. Copper deficiency did not select for mmoXYZ-possessing methanotrophs. Instead, a cluster of mbn genes with an abundance accounting for approximately 5% of Methylocystis population was identified, suggesting a comparative ecological importance of methanobactin in Cu-deficient methanotrophy over soluble methane monooxygenases. These findings highlight the importance of Methylocystis spp. in mitigating emissions from CH4 hotspots, e.g., landfills and rice paddies, and suggest the feasibility of directed enrichment/isolation of Methylocystis spp. for utilization in, for example, methanobactin and polyhydroxybutyrate production. SynopsisThis study reports enrichment of a complex soil microbiota with 0.5% methane resulting in dominance of a specific group of methane-consuming bacteria Methylocystis, highlighting their ecological significance as CH4 sink.

microbiology↗

bioRxiv2024

Selective enrichment of high-affinity clade II N2O-reducers in a mixed culture

Microorganisms encoding for the N2O reductase (NosZ) are the only known biological sink of the potent greenhouse gas N2O, and are central to global N2O mitigation efforts. Yet, the ecological constraints selecting for different N2O-reducers strains and controlling the assembly of N2O-respiring communities remain largely unknown. Of particular biotechnological interest are clade II NosZ populations, which usually feature high N2O affinities and often lack other denitrification genes. Two planktonic N2O-respiring mixed cultures were enriched under limiting and excess dissolved N2O availability to assess the impact of substrate affinity and N2O cytotoxicity, respectively. Genome-resolved metaproteomics was used to infer the metabolism of the enriched populations. We show that clade II N2O-reducers outcompete clade I affiliates for N2O at sufficiently low sludge dilution rates (0.006 h-1), a scenario previously only theorized based on pure-cultures. Under N2O limitation, all enriched N2O-reducers encoded and expressed only clade II NosZ, while also possessing other denitrification genes. Two Azonexus and Thauera genera affiliates dominated the culture. We explain their coexistence with the genome-inferred metabolic exchange of cobalamin intermediates. Conversely, under excess N2O, clade I and II populations coexisted. Notably, the single dominant N2O-reducer (genus Azonexus) expressed most cobalamin biosynthesis marker genes, likely to contrast the continuous cobalamin inactivation by dissolved cytotoxic N2O concentrations (400 {micro}M). Ultimately, we demonstrate that the solids dilution rate controls the selection among NosZ clades, albeit the conditions selecting for genomes possessing the sole nosZ remain elusive. Additionally, we suggest the significance of N2O-cobalamin interactions in shaping the composition of N2O-respiring microbiomes.

systems biology↗

bioRxiv2024

The effect of the size of gold nanoparticle contrast agents on CT imaging of the gastrointestinal tract and inflammatory bowel disease

Ulcerative colitis (UC) is a chronic inflammatory bowel disease (IBD). CT imaging with contrast agents is commonly used for visualizing the gastrointestinal (GI) tract in UC patients. CT is a common imaging modality for evaluating IBD, especially in patients with acute abdominal pain presenting to emergency departments. CTs major limitation lies in its lack of specificity for imaging UC, as the commonly used agents are not well-suited for inflamed areas. Recent studies gastrointestinal tract (GIT) in UC. Further systemic research is needed to explore novel contrast agents that can specifically image disease processes in this disease setting.

bioengineering↗

bioRxiv2023

Cortico-hippocampal representational similarity contributes to learning of multiple motor sequences

Cortico-hippocampal interaction is integral to memory consolidation during sleep or wakeful rest. However, the extent of its engagement in non-declarative motor memory during skill learning remains largely undefined. Specifically, it remains unclear how neural representations in cortical and hippocampal regions are related to learning multiple motor sequences. Here, we conducted an fMRI experiment in which participants learned four distinct motor sequences in a pseudo-random order with interleaved rest periods. We found pattern separation in the sensorimotor regions was significant, particularly in the anterior motor cortex, related to early learning performance. However, there was no pattern separation in the hippocampus during the rest periods. Intriguingly, the representational similarity between the motor cortex during task periods and the hippocampus during rest periods was highly correlated with overall learning performance. These findings suggest a new role of hippocampal replay in motor sequence learning, that is, learning a more abstract relational structure of sequences instead of representing sequences per se.

neuroscience↗

bioRxiv2023

Glycolytic Metabolon Assembly on Mitochondria via Hexokinase O-GlcNAcylation Promotes Metabolic Efficiency

Glucose, the primary cellular energy source, is metabolized through glycolysis initiated by the rate-limiting enzyme Hexokinase (HK). In energy-demanding tissues like the brain, HK1 is the dominant isoform, primarily localized on mitochondria, crucial for efficient glycolysis-oxidative phosphorylation coupling and optimal energy generation. This study unveils a unique mechanism regulating HK1 activity, glycolysis, and the dynamics of mitochondrial coupling, mediated by the metabolic sensor enzyme O-GlcNAc transferase (OGT). OGT catalyzes reversible O-GlcNAcylation, a post-translational modification, influenced by glucose flux. Elevated OGT activity induces dynamic O-GlcNAcylation of HK1s regulatory domain, subsequently promoting the assembly of the glycolytic metabolon on the outer mitochondrial membrane. This modification enhances HK1s mitochondrial association, orchestrating glycolytic and mitochondrial ATP production. Mutations in HK1s O-GlcNAcylation site reduce ATP generation, affecting synaptic functions in neurons. The study uncovers a novel pathway that bridges neuronal metabolism and mitochondrial function via OGT and the formation of the glycolytic metabolon, offering new prospects for tackling metabolic and neurological disorders.

cell biology↗

bioRxiv2023

Convergent Evolution of A-Lineage (Clade 19B) SARS-CoV-2 Spike Sequences with B-Lineage Variants of Concern Affects Virus Replication in a Temperature-Dependent Manner on Human Nasal Epithelial Cell Cultures

The first three months of the COVID-19 pandemic was dominated by two SARS-CoV-2 lineages: A-lineages (Clade 19B) and B-lineages (Clade 19A). However, with the emergence of the Spike D614G substitution in B.1 lineages (Clade 20A), both early lineages were outcompeted and remained near-extinction from mid-2020 onwards. In early-2021, there was a re-emergence and persistence of novel A-lineage variants with substitutions in the Spike gene resembling those found in Variants of Concern (VOCs). An early A.3 variant (MD-HP00076/2020) and three A.2.5 variants (MD-HP02153/2021, MD-HP05922/2021 and CA-VRLC091/2021) were isolated and characterized for their genomic sequences, antibody neutralization, and in vitro replication. All A.2.5 isolates had five Spike mutations relative to the A.3 variant sequence: D614G, L452R, {Delta}141-143, D215A, and ins215AGY. Plaque reduction neutralization assays demonstrated that A.2.5 isolates had a 2.5 to 5-fold reduction in neutralization using contemporaneous COVID-19 convalescent plasma when compared to A.3. In vitro viral characterization in VeroE6 cell lines revealed that the A.3 isolate grew faster and spread more than A.2.5. On VeroE6-TMPRSS2 cells, significant syncytia formation was also observed with the A.2.5 isolates, however Spike cleavage efficiency did not explain these differences. In human nasal epithelial cell (hNEC) cultures, the A.2.5 isolates grew significantly faster and to higher total infectious virus titers than A.3. All A.2.5 lineage isolates grew significantly faster at 37{degrees}C than at 33{degrees}C irrespective of cell type, and to higher peak titers except compared to A.3. This suggests A.2.5s adapted to improve replication using similar mutations found in the B-lineage SARS-CoV-2 variants. ImportanceWhile both A- and B-lineage SARS-CoV-2 variants emerged and circulated together during the early months of the pandemic, the B-lineages that acquired Spike D614G eventually outcompeted all other variants. We show that the A-lineage variants eventually evolved mutations including Spike D614G and Spike L452R that improved their in vitro replication in human nasal epithelial cells in a temperature dependent manner, suggesting there are some highly selectable mutation landscapes that SARS-CoV-2 can acquire to adapt to replication and transmission in humans.

microbiology↗

bioRxiv2023

Suggested role of NosZ in preventing N2O inhibition of dissimilatory nitrite reduction to ammonium

Climate change and nutrient pollution are among the most urgent environmental issues. Enhancing the abundance and/or the activity of beneficial organisms is an attractive strategy to counteract these problems. Dissimilatory nitrate reduction to ammonium (DNRA), which theoretically improves nitrogen retention in soils, has been suggested as a microbial process that may be harnessed, especially since many DNRA-catalyzing organisms have been found to possess clade II nosZ genes and the ability to respire N2O. However, the selective advantages that may favor these nosZ-harboring DNRA-catalyzing organisms is not well understood. Here, the effect of N2O on Nrf-mediated DNRA was examined in a recently isolated soil bacterium, Bacillus sp. DNRA2, possessing both nrfA and nosZ genes. The DNRA metabolism of this bacterium was observed in the presence of C2H2, a NosZ inhibitor, with or without N2O, and the results were compared with C2H2-free controls. Cultures were also exposed to repeated oxic-anoxic transitions in the sustained presence of N2O. The NO2--to-NH4+ reduction following oxic-to-anoxic transition was significantly delayed in NosZ-inhibited C2H2-amended cultures, and the inhibition was more pronounced with repeated oxic-anoxic transitions. The possible involvement of C2H2 was dismissed since the cultures continuously flushed with C2H2/N2 mixed gas after initial oxic incubation did not exhibit a similar delay in DNRA progression as that observed in the culture flushed with N2O-containing gas. The findings provide novel ecological and evolutionary insights into the oft-observed presence of nosZ genes in DNRA-catalyzing microorganisms. ImportanceDissimilatory nitrate/nitrite reduction to ammonium (DNRA) is a microbial energy-conserving process that reduces NO3- and/or NO2- to NH4+. Interestingly, many DNRA-catalyzing microorganisms possessing nrfA genes harbor nosZ genes encoding nitrous oxide reductases, i.e., the only group of enzymes capable of removing the potent greenhouse gas N2O. Here, through a series of physiological experiments examining DNRA metabolism in one of such microorganisms, Bacillus sp. DNRA2, we have discovered that N2O may delay transition to DNRA upon an oxic-to-anoxic transition, unless timely removed by the nitrous oxide reductases. These observations suggest a novel explanation as to why some nrfA-possessing microorganisms have retained nosZ genes that had probably been acquired via horizontal gene transfers: to remove N2O that may otherwise interfere with the transition from O2 respiration to DNRA.

microbiology↗

bioRxiv2023

Benchmarking robust spatial transcriptomics approaches to capture the molecular landscape and pathological architecture of archived cancer tissues

AbtractsApplying spatial transcriptomics (ST) to explore a vast amount of formalin-fixed paraffin-embedded (FFPE) archival cancer tissues has been highly challenging due to several critical technical issues. In this work, we optimised ST protocols to generate unprecedented spatial gene expression data for FFPE skin cancer. Skin is among the most challenging tissue types for ST due to its fibrous structure and a high risk of RNAse contamination. We evaluated tissues collected from ten years to two years ago, spanning a range of tissue qualities and complexity. Technical replicates and multiple patient samples were assessed. Further, we integrated gene expression profiles with pathological information, revealing a new layer of molecular information. Such integration is powerful in cancer research and clinical applications. The data allowed us to detect the spatial expression of non-coding RNAs. Together, this work provides important technical perspectives to enable the applications of ST on archived cancer tissues.

pathology↗

bioRxiv2022

Combinatorial interpretation of BMP and WNT allows BMP to act as a morphogen in time but not in concentration

Secreted morphogen signals play a key role in the determination of cell fates during embryonic development. BMP signaling is essential for mammalian gastrulation, as it initiates a cascade of signals that controls the self-organized patterning of the three germ layers. Although morphogen signals are typically thought to induce cell fates in a concentration-dependent manner, development is a highly dynamic process, so it is crucial to understand how time-dependent signaling affects cellular differentiation. Here we show that varying the duration of BMP signaling in human pluripotent stem cells (hPSCs) leads to either cells remaining pluripotent, or differentiating to mesodermal or extraembryonic states, while varying the concentration does not cause efficient mesodermal differentiation at any dose. Thus, there is a morphogen effect in time but not in concentration, and an appropriately timed pulse of BMP induces hPSCs to a mesodermal fate more efficiently than sustained signaling at any concentration. Using live cell imaging of signaling and cell fate reporters together with a simple mathematical model, we show that this effect is due to a combinatorial interpretation of the applied BMP signal and induced endogenous WNT signaling. Our findings have implications for how signaling pathways control the landscape of early human development.

developmental biology↗

bioRxiv2022

Rescue of neuropsychiatric phenotypes in a mouse model of 16p11.2 duplication syndrome by genetic correction of an epilepsy network hub

Neuropsychiatric disorders (NPDs) share genetic etiology and are frequently co-morbid with epilepsy, but the biological basis of this shared risk remains poorly understood. The 16p11.2 microduplication (16p11.2dup/+) is a highly pleiotropic copy number variant (CNV) conferring risk for multiple NPDs including autism spectrum disorder, schizophrenia and intellectual disability, and is associated with a high prevalence of seizures. We used a mouse model of the 16p11.2 duplication (16p11.2dup/+) to uncover molecular and circuit properties associated with this broad phenotypic spectrum, and examined genes within the locus capable of phenotype reversal. Quantitative proteomics of cortical membranes revealed alterations to synaptic protein networks and products of diverse NPD risk genes in 16p11.2dup/+ mice. Network analysis identified an epilepsy-associated protein subnetwork, which was dysregulated in 16p11.2dup/+ mice and proteomic datasets from human NPDs. We investigated circuit properties in 16p11.2dup/+ mice and found they exhibited hypersynchronous activity and enhanced network glutamate release, which increased susceptibility to seizures. We hypothesized that a regulator of the synaptic and epilepsy-associated protein network could have an important impact on pathophysiology. Human brain co-expression and interactome analysis revealed PRRT2 as a major hub in the dysregulated epilepsy subnetwork. Remarkably, restoring Prrt2 copy number to wild-type levels rescued aberrant circuit properties, seizure susceptibility and social interaction deficits in 16p11.2dup/+ mice. We show that proteomics and network biology can identify important disease hubs in multigenic CNVs, and reveal molecular and circuit phenotypes which may be relevant to the complex symptomatology of 16p11.2 duplication carriers.

neuroscience↗

bioRxiv2022

A multi-enhancer hub at the Ets1 locus controls T cell differentiation and allergic inflammation through 3D genome topology

Multi-enhancer hubs are spatial clusters of enhancers which have been recently characterized across numerous developmental programs. Yet, the functional relevance of these three-dimensional (3D) structures is poorly understood. Here we show that the multiplicity of enhancers interacting with the transcription factor Ets1 is essential to control the precise expression level of this gene in response to cellular cues, and the failure to do so can lead to allergic diseases. Focusing on T cells as a model, we identified a highly connected multi-enhancer hub at the Ets1 locus, comprising a noncoding regulatory element that is a hotspot for sequence variation associated with allergic diseases. We deleted this hotspot and found that the multi-enhancer connectivity is dispensable for T cell development but required for CD4+ T helper (Th1) differentiation in response to changes in the cytokine milieu. Mice lacking this hotspot are thus protected from Th1-mediated colitis but demonstrate an overt allergic response to house dust mites, a T cell-mediated response which is dampened by Th1 cells. Mechanistically, the multi-enhancer hub controls the expression level of Ets1 that is dispensable for the active enhancer landscape but required for the Th1-specific genome topology through recruitment of CTCF. Together, we establish a paradigm for the functional and mechanistic relevance of multi-enhancer hubs controlling cellular competence to respond specifically to an inductive cue.

genomics↗