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Esposito, A.

Publications and source records attributed to Esposito, A..

At least 19 recordsLinked to original sources

The gut bacterial community of black soldier fly larvae is a reservoir of antibiotic resistance and virulence genes

1.Antimicrobial resistance (AMR) is a serious threat to global health. Agricultural practices that have contributed greatly to AMR spread urgently require innovation to address this issue, and more broadly challenges of sustainability and environmental concern. The larvae of black soldier fly (BSFL), Hermetia illucens, are considered a promising resource for advancing sustainable and circular agri-food systems given their ability to bioconvert organic waste streams into protein-and lipid-rich biomass suitable for feed applications and the use of the rearing residues (i.e., frass) as organic fertilisers. However, despite their emerging industrial applications, the risks of antibiotic resistance spread through their use remain underexplored. To elucidate this aspect, the profiles of antibiotic resistance genes (ARGs) and virulence factors (VFs), and their occurrence on plasmids were predicted from the midgut bacterial community of BSFL. Shotgun metagenomics revealed candidate resistance genes for 26 classes of antibiotics, and virulence via 9 mechanisms (with mobility and biofilm formation as major ones), with taxa belonging to the Pseudomonadota phylum as the dominant contributors. Highly relevant to public health was the identification of genes encoding resistance to carbapenem class antibiotics in bacterial genomes and mobile plasmids. Reconstruction of metagenomes enabled more precise taxonomic resolution and revealed taxa harbouring multiple resistance and virulence genes, including a Pseudomonas species with 42 VFs and 7 ARGs. Notably, for the first time antibiotic resistant bacterial species were isolated from the gut microbiota of BSFL, validating and complementing the results obtained in silico. Together, this work represents a comprehensive profile of the BSFL midgut bacterial resistome, while also providing relevant context on virulence and mobility. Importantly, it emphasises the urgent need to adopt strategies to mitigate potential risks arising from the development of emerging technologies related to the use of insect-mediated bioconversion and derived products.

genomics↗

Long-read cross-platform validation reveals novel repeat features in myotonic dystrophy type 2

The broader application of long-read sequencing (LRS) for repeat expansion characterization in myotonic dystrophy type 2 (DM2) and other repeat expansion disorders (REDs) remains limited by the lack of systematic validation and benchmarking of sequencing results and bioinformatic workflows. Here, we performed an orthogonal cross-platform validation of previously generated Oxford Nanopore Technologies (ONT) data by sequencing the same DNA samples with Pacific Biosciences (PacBio) HiFi following amplification-free targeted enrichment in a cohort of 8 DM2 patients. Despite substantial differences in sequencing chemistry and coverage, the two platforms showed high concordance in repeat size estimation, somatic mosaicism, and repeat architecture. This validation confirmed the presence of the (TCTG)n motif and enabled the identification of a previously unreported (CCCG)n motif at the 3' end of expanded alleles, further highlighting the structural complexity of the CNBP expansion. Through this analysis, we also established a bioinformatic workflow that improved ONT-based repeat characterization, addressing limitations in motif resolution and enabling more accurate analysis of CNBP expansions. Overall, this study provides a validated framework for LRS-based CNBP repeat analysis, supporting the integration of these technologies into routine molecular investigation for DM2 and other REDs.

genomics↗

Functional architecture of cardiac TF regulatory landscapes in control of mammalian heart development

Congenital heart disease (CHD), the most common human birth defect, often results from disruptions in gene regulatory networks (GRNs) that control cardiac lineage specification and cell type identity during heart development. A conserved core set of cardiac transcription factors (TFs) orchestrates these processes through combinatorial interactions that are cell type-specific and tightly regulated across space and time. However, the genomic enhancer architecture that integrates upstream effectors to establish precise cardiac TF dosage and downstream transcriptional output remains largely unresolved. Here, we assessed the functional necessity of five developmental heart enhancer modules previously linked to the regulation of Gata4 and Hand2, core cardiac TFs exhibiting overlapping roles in myocardial and endocardial development. While individual enhancer deletions in mouse embryonic hearts revealed a surprising degree of transcriptional resilience, a subset of Gata4 enhancers proved indispensable for embryonic progression in a genetically compromised background. To achieve higher precision in cardiac cell type-specific enhancer prediction, we applied single-nucleus multiome profiling, enabling the delineation of cardiac cistromes underlying heart morphogenesis. By integrating this resource with deep learning applications, site-directed transgenesis, and chromatin conformation modeling, we mapped the cardiac enhancer repertoire and regulatory signatures that orchestrate Hand2 dynamics across distinct cardiac compartments and lineages. Genome editing further revealed an essential role for the Hand2-upstream regulatory interval (H2-URI) in transcriptional control of endocardial lineage effectors and, consequently, trabecular network formation and cardiac cushion patterning. Together our findings highlight substantial resilience in the cis-regulatory architectures governing cardiac TF dynamics and demonstrate that combinatorial integration of upstream lineage identities across modular enhancer landscapes establishes the cardiac cell type-specific programs driving heart morphogenesis. These results advance the reconstruction of cardiac GRNs and enhance the functional interpretation of CHD-associated variants.

developmental biology↗

Antibody feedback establishes an affinity brake in the germinal center

Recent advances in mRNA vaccine technology have opened the door to novel types of antigen display, but little is yet known as to how B cells recognize and respond to these formats. By delivering an mRNA-LNP encoded membrane-bound immunogen displaying three conserved HIV-1 Envelope (Env) epitopes to knock-in mouse models with B cell receptors (BCRs) of defined affinities, we investigated how epitope-specific competition shapes germinal center (GC) responses. Co-activation of B cells targeting different epitopes did not alter GC kinetics observed in individual activations, but a striking inverse correlation was observed between BCR affinity and GC residence time in either scenario: high-affinity B cells exhibited shorter persistence in GCs, while those with lower affinity to the antigen were maintained. Furthermore, B cells were able to engage in GC reactions at equivalent rates in the presence or absence of clonal lineages binding the same epitope with similar affinities, while higher-affinity clones suppressed lower-affinity counterparts targeting the same epitope. Spatial transcriptomics revealed plasma-like cells within and adjacent to the GC which, together with the detection of early IgG in draining lymph nodes, suggests that local antibody production from these cells may contribute to feedback-driven kinetics. These findings indicate that a self-modulated local antibody feedback loop may act as a "brake" on epitope-specific recognition--dampening further affinity enhancement for high-affinity B cells and facilitating epitope spreading by redirecting the response toward alternative epitopes.

immunology↗

Physical principles of phase-separation action on chromatin looping associated to pathogenic gene activation

Phase-separation of chimeric proteins resulting from genetic mutations has been shown to trigger aberrant chromatin looping, contributing to disease development, including cancer. However, the physical mechanisms regulating these processes are not yet fully understood. In this study, we employ polymer physics models of chromatin and numerical simulations to investigate the relationship between phase-separation of proteins and chromatin structure. We demonstrate that a simple model, including only protein-protein and protein-chromatin interactions, effectively explains the aberrant looping observed around oncogenes, such as PBX3, in cells expressing the NUP98-HOXA9 chimeric protein, which is associated with leukemia. In this scenario, looping occurs through a switch-like mechanism controlled by the concentration of the chimera and its affinity with chromatin. Moreover, when incorporating the presence of extruding factors in a more complex model, similar results are observed, indicating a mild dependence of this looping mechanism on loop-extrusion activity. Finally, leveraging our numerical simulations, we propose potential strategies to inhibit the formation of enhancer-gene loops by directly targeting the chimeric protein with interfering molecules.

biophysics↗

Structural basis for growth factor and nutrient signal integration on the lysosomal membrane by mTORC1

Mechanistic target of rapamycin complex 1 (mTORC1), which consists of mTOR, Raptor, and mLST8, receives signaling inputs from growth factor signals and nutrients. These signals are mediated by the Rheb and Rag small GTPases, respectively, which activate mTORC1 on the cytosolic face of the lysosome membrane. We biochemically reconstituted the activation of mTORC1 on membranes by physiological submicromolar concentrations of Rheb, Rags, and Ragulator. We determined the cryo-EM structure and found that Raptor and mTOR directly interact with the membrane at anchor points separated by up to 230 [A] across the membrane surface. Full engagement of the membrane anchors is required for maximal activation, which is brought about by alignment of the catalytic residues in the mTOR kinase active site. The observations show at the molecular and atomic scale how converging signals from growth factors and nutrients drive mTORC1 recruitment to and activation on the lysosomal membrane in a three-step process, consisting of (1) Rag-Ragulator-driven recruitment to within [~]100 [A] of the lysosomal membrane, (2) Rheb-driven recruitment to within [~]40 [A], and finally (3) direct engagement of mTOR and Raptor with the membrane. The combination of Rheb and membrane engagement leads to full catalytic activation, providing a structural explanation for growth factor and nutrient signal integration at the lysosome.

biochemistry↗

Conserved principles of spatial biology define tumor heterogeneity and response to immunotherapy

The complexity of tumor microenvironments (TMEs) poses a substantial challenge to understanding tumor heterogeneity and clinical outcomes. By studying an ensemble of 262 diverse solid tumors, we uncovered a conserved, hierarchical architecture of transcriptionally covarying regions we term Spatial Groups (SGs). SGs corresponded to discrete biological units as benchmarked against multiple spatial technologies, and their nested organization revealed context-dependent constraints within tumors. Using SGs for comparing tumors, we derived a pantumor classification where immune spatial heterogeneity was the dominant axis of variation. This classification stratified response to immune checkpoint blockade in an out-of-sample cohort of non-small cell lung cancer patients. Statistical approximation techniques defined a sparse set of protein markers capturing system-level properties of TME spatial biology, demonstrating a framework for distilling genome-wide information into clinically deployable diagnostics. Our findings position the architecture of SGs as a general model unifying TME structure with biological function and clinical translation.

cancer biology↗

KRAS G12 mutant alleles differentially control glutamine metabolism via FOXO1

Mutations in KRAS, particularly at codon 12, are frequent in adenocarcinomas of the colon, lungs and pancreas, driving carcinogenesis by altering cell signalling and reprogramming metabolism. However, the specific mechanisms by which different KRAS G12 alleles initiate distinctive patterns of metabolic reprogramming is unclear. Using isogenic panels of colorectal cell lines harbouring the G12A, G12C, G12D and G12V heterozygous mutations and employing transcriptomics, metabolomics, and extensive biochemical validation, we demonstrate distinctive features of each allele. We also demonstrate that cells harbouring the common G12D and G12V oncogenic mutations significantly alter glutamine metabolism and nitrogen recycling through FOXO1-mediated regulation compared to parental lines. Moreover, with a combination of small molecule inhibitors targeting glutamine and glutamate metabolism, we also identify a common vulnerability that eliminates mutant cells selectively. These results highlight a previously unreported mutant-specific effect of KRAS alleles on metabolism and signalling that could be potentially harnessed for cancer therapy. In briefBer et al. reveal common and distinct features of oncogenic KRAS mutant isogenic cell lines. Mutant lines upregulate different nitrogen-recycling metabolic pathways and show sensitivity to combinatorial drugging of glutamine metabolism. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=200 SRC="FIGDIR/small/618135v1_ufig1.gif" ALT="Figure 1"> View larger version (101K): org.highwire.dtl.DTLVardef@1459558org.highwire.dtl.DTLVardef@14fcd43org.highwire.dtl.DTLVardef@2d22ccorg.highwire.dtl.DTLVardef@147b068_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIDifferent KRAS mutations trigger distinct metabolic phenotypes in colorectal cell lines C_LIO_LIGlutamine metabolism and nitrogen recycling are upregulated in KRAS mutant cells C_LIO_LIFOXO1 is a key regulator of KRAS-induced rewiring of glutamine and nitrogen metabolism C_LIO_LIInhibition of glutamine synthetase and glutaminase selectively kills mutant KRAS lines C_LI

cancer biology↗

Polymer physics models reveal structural folding features of single-molecule gene chromatin conformations

Here, we employ polymer physics models of chromatin to investigate the 3D folding of a 2Mb wide genomic region encompassing the human LTN1 gene, a crucial DNA locus involved in key cellular functions. Through extensive Molecular Dynamics simulations, we reconstruct in-silico the ensemble of single-molecule LTN1 3D structures, which we benchmark against recent in-situ Hi-C 2.0 data. The model-derived single molecules are then used to predict structural folding features at the single-cell level, providing testable predictions for super-resolution microscopy experiments.

molecular biology↗

4D bioprinted self-folding scaffolds enhance cartilage formation in the engineering of trachea

Trachea defects that required surgical interventions are increasing in number in the recent years, especially for pediatric patients. However, current gold standards, such as biological grafts and synthetic prothesis, do not represent an effective solution, due to the lack of mimicry and regeneration capability. Bioprinting is a cutting-edge approach for the fabrication of biomimetic scaffold to empower tissue engineering toward trachea replacement. In this study, we developed a self-folding gelatin-based bilayer scaffold for trachea engineering, exploiting the 4D bioprinting approach, namely the fabrication of dynamic scaffolds, able to shape morph in a predefined way after the application of an environmental stimulus. Indeed, starting form a 2D flat position, upon hydration, this scaffold forms a closed tubular structure. An analytical model, based on Timoshenkos beam thermostats, was developed, and validated to predict the radius of curvature of the scaffold according to the material properties and the scaffold geometry. The 4D bioprinted structure was tested with airway fibroblast, lung endothelial cells and ear chondral progenitor cells (eCPCs) toward the development of a tissue engineered trachea. Cells were seeded on the scaffold in its initial flat position, maintained their position after the scaffold actuation and proliferated over or inside it. The ability of eCPCs to differentiate towards mature cartialge was evaluated. Interestingly, real-time PCR revealed that differentiating eCPCs on the 4D bioprinted scaffold promote healthy cartilage formation, if compared with eCPCs cultured on 2D static scaffold. Thus, eCPCs can perceive scaffold folding and its final curvature and to react to it, towards the formation of mature cartilage for the airway.

bioengineering↗

Inhibition of Asparagine Synthetase Effectively Retards Polycystic Kidney Disease Progression

Polycystic Kidney Disease (PKD) is a genetic disorder characterized by bilateral cyst formation. We showed that PKD cells and kidneys display metabolic alterations, including the Warburg effect and glutaminolysis, sustained in vitro by the enzyme asparagine synthetase (ASNS). Here, we used antisense oligonucleotides (ASO) against Asns in orthologous and slowly progressive PKD murine models and show that treatment leads to a drastic reduction of total kidney volume (measured by MRI) and a prominent rescue of renal function in the mouse. Mechanistically, the upregulation of an ATF4-ASNS axis in PKD is driven by the amino acid response (AAR) branch of the integrated stress response (ISR). Metabolic profiling of PKD or control kidneys treated with Asns-ASO or Scr-ASO revealed major changes in the mutants, several of which are rescued by Asns silencing in vivo. Indeed, ASNS drives glutamine-dependent de novo pyrimidine synthesis and proliferation in cystic epithelia. Notably, while several metabolic pathways were completely corrected by Asns-ASO, glycolysis was only partially restored. Accordingly, combining the glycolytic inhibitor 2DG with Asns-ASO further improved efficacy. Our studies identify a new therapeutic target and novel metabolic vulnerabilities in PKD.

biochemistry↗

Multiscale modelling of chromatin 4D organization in SARS-CoV-2 infected cells

SARS-CoV-2 is able to re-structure chromatin organization and alters the epigenomic landscape of the host genome, though the mechanisms that produce such changes are still poorly understood. Here, we investigate with polymer physics chromatin re-organization of the host genome, in space and time upon SARS-CoV-2 viral infection. We show that re-structuring of A/B compartments is well explained by a re-modulation of intra-compartment homotypic affinities, which leads to the weakening of A-A interactions and enhances A-B mixing. At TAD level, re-arrangements are physically described by a general reduction of the loop extrusion activity coupled with an alteration of chromatin phase-separation properties, resulting in more intermingling between different TADs and spread in space of TADs themselves. In addition, the architecture of loci relevant to the antiviral interferon (IFN) response, such as DDX58 or IFIT, results more variable within the 3D single-molecule population of the infected model, suggesting that viral infection leads to a loss of chromatin structural specificity. Analysis of time trajectories of pairwise gene-enhancer and higher-order contacts reveals that such variability derives from a more fluctuating dynamics in infected case, suggesting that SARS-CoV-2 alters gene regulation by impacting the stability of the contact network in time. Overall, our study provides the first polymer-physics based 4D reconstruction of SARS-CoV-2 infected genome with mechanistic insights on the consequent gene mis-regulation.

biophysics↗

Phase separation of ecDNA aggregates establishes in-trans contact domains boosting selective MYC regulatory interactions

Extrachromosomal DNAs (ecDNAs) are found in the nucleus of an array of human cancer cells where they can form clusters that were associated to oncogene overexpression, as they carry genes and cis-regulatory elements. Yet, the mechanisms of aggregation and gene amplification beyond copy-number effects remain mostly unclear. Here, we investigate, at the single molecule level, MYC-harboring ecDNAs of COLO320-DM colorectal cancer cells by use of a minimal polymer model of the interactions of ecDNA BRD4 binding sites and BRD4 molecules. We find that BRD4 induces ecDNAs phase separation, resulting in the self-assembly of clusters whose predicted structure is validated against HiChIP data (Hung et al., 2021). Clusters establish in-trans associated contact domains (I-TADs) enriched, beyond copy number, in regulatory contacts among specific ecDNA regions, encompassing its PVT1-MYC fusions but not its other canonical MYC copy. That explains why the fusions originate most of ecDNA MYC transcripts (Hung et al., 2021), and shows that ecDNA clustering per se is important but not sufficient to amplify oncogene expression beyond copy-number, reconciling opposite views on the role of clusters (Hung et al., 2021; Zhu et al., 2021; Purshouse et al. 2022). Regulatory contacts become strongly enriched as soon as half a dozen ecDNAs aggregate, then saturate because of steric hindrance, highlighting that even cells with few ecDNAs can experience pathogenic MYC upregulations. To help drug design and therapeutic applications, with the model we dissect the effects of JQ1, a BET inhibitor. We find that JQ1 reverses ecDNA phase separation hence abolishing I-TADs and extra regulatory contacts, explaining how in COLO320-DM cells it reduces MYC transcription (Hung et al., 2021).

molecular biology↗

Transcriptomic dissection of Intraepithelial Papillary Mucinous Neoplasms progression by spatial technologies identified novel markers of pancreatic carcinogenesis.

Intraductal papillary mucinous neoplasms (IPMN) are one of the main precursor lesions of Pancreatic Ductal Adenocarcinoma (PDAC). The number of patients diagnosed with IPMN is constantly increasing. While in most of the cases IPMN present as indolent and nonmalignant entities, some degenerate into PDAC. The main mechanisms behind the IPMN progression to malignancy is still not fully understood. This is mainly due to the technological limit of the analyzes and to cysts heterogeneity whose malignant transformation potential is estimated based on size and degree of dysplasia without take in consideration the transformation time and therefore the real malignancy potential. Moreover, there is a general lack of consensus diagnostic markers to discern the Low-grade nonmalignant from High-grade malignant IPMN. In this study, we used two different Spatial Transcriptomic technologies (Visium, and GeoMx) to investigate the transcriptome of Low-grade dysplasia nonmalignant IPMN, Borderline IPMN, and High-grade dysplasia malignant IPMN to dissect the main mechanism that drives carcingenesis and to find specific markers associated to risk of tumor progression. We performed Visium spatial transcriptomics on two TMAs containing three Low-grade dysplasia nonmalignant IPMN, one Borderline IPMN, two High-grade dysplasia malignant IPMN, and two PDAC. We identified three specific epithelial cell clusters that characterize Low-grade dysplasia IPMN, Borderline IPMN, and High-grade dysplasia malignant IPMN and three transcription factors whose expression is associated with each grade. High-grade malignant IPMN were characterized by high expression levels of NKX6-2 and other markers of gastric isthmus cell lineage such as MUC5AC, PSCA, FERIL6. The SPDEF high IPMN cluster was found in Borderline IPMN and spotted in some regions of High-grade malignant IPMN. This cluster was characterized by high expression levels of SPDEF and other goblet cell lineage markers such as TFF2, AQP5, and MUC6. Low-grade nonmalignant IPMN were characterized by high expression levels of HOXB3, HOXB5, ZNF117. The association of these markers with the different grades was validated by GeoMx spatial transcriptomics on 43 additional IPMN samples divided according to their grade of dysplasia and malignancy. To better understand the transcriptomic changes along IPMN progression we performed spatial trajectory inference and we found that SPDEF high IPMN cluster cells are likely to evolve into NKX6-2 high malignant IPMN, and we found that this switch is characterized by the expression of NKX6-2 and other gastric markers. Taken together, the results presented here not only shed more light in to IPMN and PDAC oncogenesis, but also provided a plethora of novel malignancy-associated markers to be tested in diagnostic routine, to better delineate IPMN progression in patients and improve clinical management.

cancer biology↗

Structural basis for mTORC1-dependent regulation of the lysosomal and autophagic transcription factor TFEB

The transcription factor TFEB is a master regulator of lysosomal biogenesis and autophagy. The phosphorylation of TFEB by the mechanistic target of rapamycin complex 1 (mTORC1) is unique in its mTORC1 substrate recruitment mechanism, which is strictly dependent on the amino-acid-mediated activation of the RagC GAP FLCN. TFEB lacks the TOR signaling (TOS) motif responsible for the recruitment of other mTORC1 substrates. We used cryo-electron microscopy (cryo-EM) to determine the structure of TFEB as presented to mTORC1 for phosphorylation. Two full Rag-Ragulator complexes present each molecule of TFEB to the mTOR active site. One Rag-Ragulator complex is bound to Raptor in the canonical mode seen previously in the absence of TFEB. A second Rag-Ragulator complex (non-canonical) docks onto the first via a RagC GDP-dependent contact with the second Ragulator complex. The non-canonical Rag dimer binds the first helix of TFEB in a RagCGDP-dependent aspartate clamp in the cleft between the Rag G domains. Mutation of the clamp drives TFEB constitutively into the nucleus whilst having no effect on mTORC1 localization. The remainder of the 108-amino acid TFEB docking domain winds around Raptor and then back to RagA. This structure presents the phosphorylatable Ser residues of TFEB to the mTORC1 active site in a suitable geometry for their phosphorylation. The double use of RagC GDP contacts in both Rag dimers explains the strong dependence of TFEB phosphorylation on FLCN and the RagC GDP state.

cell biology↗

Continuous sensing of IFNα by hepatic endothelial cells shapes a vascular antimetastatic barrier

Hepatic metastases are a poor prognostic factor of colorectal carcinoma (CRC) and new strategies to reduce the risk of liver CRC colonization are highly needed. Herein, we used mouse models of hepatic metastatization to demonstrate that the continuous infusion of therapeutic doses of interferon-alpha (IFN) controls CRC invasion by acting on hepatic endothelial cells (HECs). Mechanistically, IFN promoted the development of a vascular antimetastatic niche characterized by liver sinusoidal endothelial cells (LSECs) defenestration extracellular matrix and glycocalyx deposition, thus strengthening the liver vascular barrier impairing CRC trans-sinusoidal migration, without requiring a direct action on tumor cells, hepatic stellate cells, hepatocytes, or liver dendritic cells (DCs), Kupffer cells (KCs) and liver capsular macrophages (LCMs). Moreover, IFN endowed LSECs with efficient cross-priming potential that, along with the early intravascular tumor burden reduction, supported the generation of antitumor CD8+ T cells and ultimately led to the establishment of a protective long-term memory T cell response. These findings provide a rationale for the use of continuous IFN therapy in perioperative settings to reduce CRC metastatic spreading to the liver.

cancer biology↗

Loop-extrusion and polymer phase-separation can co-exist at the single-molecule level to shape chromatin folding

Loop-extrusion and phase-separation have been proposed as mechanisms that shape chromosome large-scale spatial organization. It is unclear, however, how they perform relative to each other in explaining chromatin architecture data and whether they compete or co-exist at the single-molecule level. Here, we compare models of polymer physics based on loop-extrusion and phase-separation, as well as models where both mechanisms act simultaneously in a single molecule, against multiplexed FISH data available in human loci in IMR90 and HCT116 cells. We find that the different models recapitulate bulk Hi-C and average microscopy data. Single-molecule chromatin conformations are also well captured, especially by phase-separation based models that better reflect the experimentally reported segregation in globules of the considered genomic loci and their cell-to-cell structural variability. Such a variability is consistent with two main concurrent causes: single-cell epigenetic heterogeneity and an intrinsic thermodynamic conformational degeneracy of folding. Overall, the model combining loop-extrusion and polymer phase-separation provides a very good description of the data, particularly higher-order contacts, showing that the two mechanisms can co-exist in shaping chromatin architecture in single cells.

molecular biology↗

Promoter repression and 3D-restructuring resolves divergent developmental gene expression in TADs

Cohesin loop extrusion facilitates precise gene expression by continuously driving promoters to sample all enhancers located within the same topologically-associated domain (TAD). However, many TADs contain multiple genes with divergent expression patterns, thereby indicating additional forces further refine how enhancer activities are utilised. Here, we unravel the mechanisms enabling a new gene, Rex1, to emerge with divergent expression within the ancient Fat1 TAD in placental mammals. We show that such divergent expression is not determined by a strict enhancer-promoter compatibility code, intra-TAD position or nuclear envelope-attachment. Instead, TAD-restructuring in embryonic stem cells (ESCs) separates Rex1 and Fat1 with distinct proximal enhancers that independently drive their expression. By contrast, in later embryonic tissues, DNA methylation renders the inactive Rex1 promoter profoundly unresponsive to Fat1 enhancers within the intact TAD. Combined, these features adapted an ancient regulatory landscape during evolution to support two entirely independent Rex1 and Fat1 expression programs. Thus, rather than operating only as rigid blocks of co-regulated genes, TAD-regulatory landscapes can orchestrate complex divergent expression patterns in evolution. HIGHLIGHTSO_LINew genes can emerge in evolution without taking on the expression pattern of their surrounding pre-existing TAD. C_LIO_LICompartmentalisation can restructure seemingly evolutionarily stable TADs to control a promoters access to enhancers. C_LIO_LILamina-associated domains neither prevent transcriptional activation nor enhancer-promoter communication. C_LIO_LIRepression rather than promoter-specificity refines when genes respond to promiscuous enhancer activities in specific tissues. C_LI

genetics↗