bioRxiv Science⌕ Search

Biology subjects

Hansen, A. S.

Publications and source records attributed to Hansen, A. S..

At least 19 recordsLinked to original sources

Dissection of Polycomb complexes reveals canonical PRC1-independent 3D chromatin interactions

The Polycomb system is an essential regulator of developmental genes which controls chromatin state through histone modifications and 3D chromatin organization. Although Polycomb-mediated histone modification is well understood, how Polycomb-mediated 3D chromatin interactions form remains unclear. To address this gap, we combine comprehensive Polycomb subunit degrons with Region Capture Micro-C, ChIP-seq, nascent transcriptomics, and live-cell imaging of DNA loci and Polycomb bodies. We find that, within canonical Polycomb repressive complex 1 (cPRC1), polyhomeotic proteins are the primary contributors to interactions. In surprising contrast to existing models, we find that Polycomb-mediated interactions persist in the absence of cPRC1, and combined depletion of cPRC1 with individual variant PRC1 and PRC2 complexes indicates that the remaining interactions do not depend on a single complex. These results raise the previously unexplored possibility of a more general mechanism for Polycomb-mediated interactions not requiring cPRC1.

genomics↗

Systematic mapping of enhancers, silencers, and topological elements with prime editing deletion screens

Noncoding regulatory elements in the human genome can control gene expression through distinct mechanisms, including acting as enhancers, silencers, or topological elements. However, we lack tools to identify all such classes systematically and quantify their effects on gene expression in an endogenous genomic context. Here we develop Swap-seq, a method that combines pooled twin prime editing with flow-sorting to delete hundreds of endogenous regulatory sequences and measure their quantitative effects on the expression of a nearby gene. We apply Swap-seq to dissect the regulatory elements that control PPIF expression in THP-1 monocytes. We quantify the effects of distal and intronic enhancers, characterize CTCF insulators, and discover a silencer that regulates distal genes through histone deacetylase (HDAC)-mediated repression of neighboring enhancers. Hundreds of other genomic elements share its chromatin signatures and transcription factor binding sites, suggesting that this silencer represents a broader class of repressive elements. We leverage Swap-seq data to benchmark sequence-to-function models and show that they often capture the local activity of regulatory elements but fail to link them to distal target genes. Swap-seq thus provides a generalizable tool to discover regulatory elements across mechanistic classes, characterize their effects on gene expression, and generate large-scale datasets for evaluating sequence-to-function models.

genomics↗

Failure to release from the ER translocon induces 60S ribosome degradation

Ribosome malfunction has toxic consequences, but how mammalian cells select ribosomal subunits for degradation remains poorly understood. Here, we develop a pulse-chase CRISPR screening strategy to identify regulators of ribosome turnover and uncover that loss of protein UFMylation promotes ribosome degradation. Normal UFMylation releases the 60S subunit from the endoplasmic reticulum (ER) translocon. Without UFMylation, single-molecule tracking and optogenetic proximity labeling reveal accumulation of ER-associated 60S subunits and their specific degradation. This translocon-associated large subunit degradation (TLSD) is independent of the lysosome and, in our human cell model, is only active in nondividing, contact-inhibited cells. Degradation requires the poorly characterized protein R3HDM4, which we term TLSD1. Upon UFMylation loss, TLSD1 redistributes to the ER and promotes 60S degradation. These findings identify a cell-state-dependent pathway for clearing ER-retained 60S subunits. We propose translocon release acts as a checkpoint for ribosome function, explaining TLSD1's genetic links to neuronal health and erythropoiesis.

cell biology↗

SAF-A/HNRNPU regulates euchromatin dynamics and is required for nuclear envelope integrity

Defects in nuclear morphology are associated with cancer and premature ageing. Nuclear morphology is established by a balance of external forces produced by actin contractility and resistance provided by chromatin and the nuclear lamina. Euchromatin is decompacted to facilitate transcription, which has been shown to decrease local nucleosome motion. However, the role of transcription and euchromatic chromatin structure in nuclear envelope integrity are not clear. Here, we demonstrate that acute depletion of SAF- A/hnRNPU causes compaction of euchromatic regions and constriction of chromatin mobility, leading to loss of nuclear envelope integrity in a transcription-dependent manner. SAF-A is required in a dose-dependent manner to preserve nuclear shape under conditions of nuclear softening and elevated transcription. Our work identifies SAF-A as a dynamic scaffold that regulates chromatin structure and dynamics at sites of active transcription to preserve nuclear envelope mechanical tension.

cell biology↗

Cohesin loading at regulatory elements shapes 3D genome folding during erythropoiesis

During erythropoiesis, differentiating cells silence much of the genome while maintaining high expression of select genes. It remains unclear whether this transcriptional specialization is linked to specific changes in 3D genome organization. We generated deep Micro-C maps across human erythropoiesis and identified erythroid cis-regulatory elements (CREs) that function as "matchmakers" by strengthening loops between neighboring elements. Matchmakers are associated with high H3K4me1, increase in strength during differentiation, and are linked to the expression of key erythropoiesis genes. Simulations suggest that a moderate cohesin loading bias across broad enhancer regions can explain the features of matchmakers, particularly under chromatin compaction. Targeted transcription factor and cohesin perturbations reduced matchmaker-associated structures and gene expression. We propose that matchmakers represent a subset of CREs that concentrate loop extrusion near key genes during erythroid differentiation.

genomics↗

Live-cell imaging of enhancer-promoter dynamics reveals transient contact-driven gene activation

Enhancers are key regulators of mammalian gene expression, yet how they interact with promoters in space (contact vs. action-at-a-distance) and in time (transient vs. stable) remains poorly understood. Recent studies suggest that enhancers can activate promoters across distances exceeding 200 nanometers, challenging classical contact models, but limited spatiotemporal resolution has obscured the mechanistic details of enhancer-promoter (E-P) interactions and their link to transcription. Here, we engineered a synthetic biology platform optimized for the simultaneous visualization of E-P 3D distance and nascent transcription using super-resolution live-cell imaging. By applying five complementary approaches integrating imaging, 3D genomics, and gene expression data across cell lines, we estimate that transcriptional activation is mediated by [~]25-42 nanometer contacts on the seconds timescale. Our results support a transient contact mechanism for E-P-mediated gene activation.

biophysics↗

Mechanistic tradeoffs between local and long-range signaling activity in natural and synthetic morphogens

Hedgehog family morphogens present an interesting paradox: despite being hydrophobic due to dual-lipid modifications, they form spatial concentration gradients that are highly conserved and essential for many aspects of metazoan development. Using live-cell single-molecule tracking and engineered synthetic signaling ligands, we isolated the distinct contribution of each lipid modification to Hedgehog diffusion and signaling potency. We found that although both lipid modifications enhance signaling potency, they do so through different mechanisms. Palmitate directly promotes receptor engagement, whereas cholesterol topologically confines secreted morphogens on the cell surface, effectively using the lipid membrane as a non-signaling co-receptor that enriches ligands locally at the cost of restricting long-range diffusion. Our results on the function of cholesterol point to an intrinsic tradeoff between signaling potency and gradient formation, with implications for the evolution and mechanism of non-signaling co-receptors.

developmental biology↗

Structural basis for CTCF-mediated chromatin organization

Eukaryotic DNA is organized across multiple scales to support genome compaction, appropriate gene expression, and DNA recombination. A central player in these processes is the CCCTC binding factor (CTCF), which defines specific chromatin loop structures and insulates enhancer elements from promoters. Chromatin is organized in a distinct pattern around CTCF-bound sites; however, the role of this patterning remains unclear. Here, we report cryo-electron microscopy structures of reconstituted CTCF-nucleosome complexes, revealing that CTCF dimerization promotes the oligomerization of nucleosomes into defined higher-order assemblies involving specific histone-histone and CTCF-CTCF interactions. Notably, CTCF does not oligomerize efficiently on non-chromatinized DNA substrates. Disruption of identified CTCF interaction interfaces in cells results in a marked decrease in chromatin looping and functionally impairs cellular differentiation. These results indicate that chromatin structure at CTCF sites plays an important role in supporting higher-order interactions between distal regions of the genome and that these interactions are important for supporting cell-type-specific gene expression.

molecular biology↗

Dedicated nanoparticle flow cytometry for single extracellular vesicle phenotyping: Performance of the CytoFLEX Nano

Accurate discrimination of extracellular vesicles (EVs) from non-vesicular nanoparticles and robust phenotyping of individual EVs directly within complex biofluids are essential to advance understanding of EV biology and to realize their potential as biomarkers and therapeutic agents. Conventional flow cytometers, originally designed for cellular analysis, lack the scatter and fluorescence sensitivity, dynamic range, and event-rate control required for quantitative characterization of nanoscale vesicles and are particularly susceptible to coincident (swarm) detection. Dedicated nanoparticle flow cytometers have been developed to address these limitations, and here we systematically evaluate the suitability of the CytoFLEX Nano (Beckman Coulter) for EV analysis. Using a series of calibration beads of different materials, fluorescent liposomes, and EVs isolated from peritoneal fluid and cell culture medium, we assess size-detection thresholds, scatter and fluorescence sensitivity, dynamic range, and volumetric counting accuracy. These data provide practical guidance for implementing nanoscale flow cytometry in EV research and support the informed adoption of dedicated nanoparticle cytometers in studies adhering to current EV reporting standards.

cell biology↗

High-throughput in silico screen uncovers key regulators of 3D genome architecture

The vertebrate genome is spatially organized into topologically associating domains (TADs), primarily via cohesin-mediated loop extrusion which typically halts at convergent CTCF binding sites to establish domain boundaries. However, despite the essential roles of CTCF and cohesin in establishing TADs, a long-standing paradox persists: CTCF and cohesin binding sites dramatically outnumber observed TAD boundaries, suggesting the existence of undiscovered architectural factors. To identify such missing factors, we conducted high-resolution in silico screens using C.Origami, a multi-modal AI model for predicting chromatin interactions. Remarkably, we identified ZNF654 and JMJD6 as novel factors uniquely defining TAD boundaries. Experimental validation confirmed that ZNF654, an uncharacterized vertebrate-specific zinc-finger protein, interacts with CTCF to form an architectural protein complex that demarcates chromatin domains. Genetic knockout of ZNF654 weakens TAD boundary strength without influencing other CTCF or cohesin binding sites. JMJD6, a deeply conserved jmjC-family dioxygenase, marks the anchors of the strongest chromatin stripes at both TAD boundaries and enhancer-promoter sites, while deleting JMJD6 weakens or diminishes such interaction signature. These results revealed the long-sought factors that uniquely mark TAD boundary and chromatin interaction anchors which, together with CTCF and cohesin, demarcate chromatin domains during 3D genome organization. Last, the evolutionary trajectory of ZNF654 and JMJD6 offers key insight into the evolutionary origins of 3D genome organization across metazoan species.

genomics↗

Micro-C in Solanum Uncovers Conserved Genome Folding and Epigenetically Defined Loops with Bifunctional Enhancer-Silencer Activity

Long-range chromatin loops are key to genome organization, yet their landscape in plants remains poorly defined. Here, we generated a 1.45-billion-contact Micro-C map of cultivated tomato (Solanum lycopersicum) that resolves [~]4,600 loops, seven times more than previous Hi-C data. Loop anchors segregate into two epigenetic classes: 1) promoter-centered loops with anchors enriched for RNA polymerase II, accessible chromatin, active histone modifications, and 2) loops with anchors enriched for Polycomb-linked or heterochromatic signatures. Both classes strongly repel young Gypsy retrotransposons, while retaining older copies directly at the anchor, revealing an age-selective filter. Unlike mammalian genome organization, loop anchors rarely overlap insulation boundaries, indicating that loop and domain formation are largely independent. Cross-species Micro-C in two wild tomatoes shows conserved anchor positions despite rapid sequence turnover. Integrating cross-species transcriptomics further reveals a dual regulatory role for promoter-anchored loops: they can enhance expression when paired with activating chromatin or poise/repress it via H3K27me3-rich, distal anchors. These data provide a high-resolution framework for interpreting plant gene regulation in 3D and a resource to probe how looping shapes trait variation and can be leveraged in breeding.

plant biology↗

Developing a general AI model for integrating diverse genomic modalities and comprehensive genomic knowledge

Advances in next-generation sequencing technologies have vastly expanded the availability of diverse genomic, epigenomic and transcriptomic data, presenting the opportunity to develop a general AI model that integrates comprehensive genomic knowledge into a unified model. Unlike previous predictive models, which are typically specialized to certain tasks, our general AI model unifies a wide range of genomic modalities, such as nascent RNA and ultra-high-resolution chromatin organization, within a multi-task architecture. Using ATAC-seq and DNA sequences as inputs, we incorporated diverse genomic modalities as output, and the model exhibits strong generalizability across different cell types and tissues in all tasks we trained. It accurately predicts gene-level transcription measured by various nascent RNA assays, and effectively captures enhancer-associated transcription. Additionally, it also accurately captures the potential functions of non-coding genetic variants and regulatory elements. Additionally, we extended the model trained on human data to a mouse general model, achieving accurate predictions of genomic modalities, such as high resolution chromatin contact maps with limited data availability, which are further validated using an established mouse inner-ear study. This comprehensive approach offers a powerful tool for understanding genome regulation in both human and mouse species.

bioinformatics↗

Chromatin Dynamics are Highly Subdiffusive Across Seven Orders of Magnitude

Chromatin dynamics control the timescales of essential biological processes including DNA damage repair and activation of gene promoters by distal enhancers. Prior chromatin dynamics studies have reported widely varying degrees of subdiffusion, likely due to technical limitations. Here, we integrate MINFLUX--a recently developed single particle tracking method capable of achieving microsecond time resolution--with traditional tracking methodologies. We tracked chromatin dynamics across seven orders of magnitude in time in both human and mouse cells and found strongly subdiffusive dynamics ( [~] 0.3). These dynamics are only mildly sensitive to perturbations of transcription, histone acetylation, and topoisomerase II, while loop extrusion has a constraining effect. Search times under these observed dynamics are extremely short for nearby loci (<100 nm), but almost impossibly long over larger distances (>1 {micro}m). These findings have important implications for processes involving two locus contacts such as enhancer-promoter search and double-strand break repair.

biophysics↗

Genome structure mapping with high-resolution 3D genomics and deep learning

Gene expression is often regulated by distal enhancers through cell-type-specific 3D looping interactions, but compre-hensive mapping of these interactions across cell types is experimentally intractable. To address this gap, we introduce an integrated approach where we generate ultra-deep Region Capture Micro-C (RCMC) and Micro-C data specifically designed for state-of-the-art deep learning architectures. We developed Cleopatra, an attention-based deep learning model that takes epigenomic inputs and is pre-trained on genome-wide Micro-C data followed by fine-tuning with high-resolution RCMC data. Cleopatra accurately predicts 3D maps at sub-kilobase bin sizes and unprecedented resolution, enabling us to generate ultra-high-resolution, genome-wide 3D contact maps across four human cell types. These maps revealed cell-type-specific microcompartments and over 900,000 loops across the cell types, about half of which are cell-type-specific. Using Cleopatra maps, we observe that promoters form about a dozen loops on average, and that expression increases monotonically with the number of loops, indicating that looping is associated with higher gene expression. We further show the enhancer-promoter loops are often anchored by CTCF, and nominate new transcription factors that may regulate cell-type-specific enhancer-promoter interactions. Overall, we establish a framework for ultra-high-resolution 3D genome mapping, providing a broadly applicable resource for gaining new insights into cell-type-specific gene regulation.

genomics↗

Genome-wide absolute quantification of chromatin looping

3D genomics methods such as Hi-C and Micro-C have uncovered chromatin loops across the genome and linked these loops to gene regulation. However, these methods only measure 3D interaction probabilities on a relative scale. Here, we overcome this limitation by using live imaging data to calibrate Micro-C in mouse embryonic stem cells, thus obtaining absolute looping probabilities for 36,804 chromatin loops across the genome. We find that the looped state is generally rare, with a mean probability of 2.3% and a maximum of 26% across the quantified loops. On average, CTCF-CTCF loops are stronger than loops between cis-regulatory elements (3.2% vs. 1.1%). Our findings can be extended to human stem cells and differentiated cells under certain assumptions. Overall, we establish an approach for genome-wide absolute loop quantification and report that loops generally occur with low probabilities, generalizing recent live imaging results to the whole genome.

biophysics↗

Dynamics of microcompartment formation at the mitosis-to-G1 transition

As cells exit mitosis and enter G1, mitotic chromosomes decompact and transcription is reestablished. Previously, Hi-C studies showed that essentially all interphase 3D genome features including A/B-compartments, TADs, and CTCF loops, are lost during mitosis. However, Hi-C remains insensitive to features such as microcompartments, nested focal interactions between cis-regulatory elements (CREs). We therefore applied Region Capture Micro-C to cells from mitosis to G1. Unexpectedly, we observe microcompartments in prometaphase, which further strengthen in ana/telophase before gradually weakening in G1. Loss of loop extrusion through condensin depletion differentially impacts microcompartments and large A/B-compartments, suggesting that they are partially distinct. Using polymer modeling, we show that microcompartment formation is favored by chromatin compaction and disfavored by loop extrusion activity, explaining why ana/telophase likely provides a particularly favorable environment. Our results suggest that CREs exhibit intrinsic homotypic affinity leading to microcompartment formation, which may explain transient transcriptional spiking observed upon mitotic exit.

biophysics↗

LDB1 establishes multi-enhancer networks to regulate gene expression

How specific enhancer-promoter pairing is established is still mostly unclear. Besides the CTCF/cohesin machinery, only a few nuclear factors have been studied for a direct role in physically connecting regulatory elements. Here, we show via acute degradation experiments that LDB1 directly and broadly promotes enhancer-promoter loops. Most LDB1-mediated contacts, even those spanning hundreds of kb, can form in the absence of CTCF, cohesin, or YY1 as determined via the use of multiple degron systems. Moreover, an engineered LDB1-driven chromatin loop is cohesin independent. Cohesin-driven loop extrusion does not stall at LDB1 occupied sites but may aid the formation of a subset of LDB1 anchored loops. Leveraging the dynamic reorganization of nuclear architecture during the transition from mitosis to G1-phase, we establish a relationship between LDB1-dependent interactions in the context of TAD organization and gene activation. Lastly, Tri-C and Region Capture Micro-C reveal that LDB1 organizes multi-enhancer networks to activate transcription. This establishes LDB1 as a direct driver of regulatory network inter-connectivity.

molecular biology↗

Diffusion barriers imposed by tissue topology shape morphogen gradients

Animals use a small number of morphogens to pattern tissues, but it is unclear how evolution modulates morphogen signaling range to match tissues of varying sizes. Here, we used single molecule imaging in reconstituted morphogen gradients and in tissue explants to determine that Hedgehog diffused extra-cellularly as a monomer, and rapidly transitioned between membrane-confined and -unconfined states. Unexpectedly, the vertebrate-specific protein SCUBE1 expanded Hedgehog gradients by accelerating the transition rates between states without affecting the relative abundance of molecules in each state. This observation could not be explained under existing models of morphogen diffusion. Instead, we developed a topology-limited diffusion model in which cell-cell gaps create diffusion barriers, and morphogens can only overcome the barrier by passing through a membrane-unconfined state. Under this model, SCUBE1 promotes Hedgehog secretion and diffusion by allowing it to transiently overcome diffusion barriers. This multiscale understanding of morphogen gradient formation unified prior models and discovered novel knobs that nature can use to tune morphogen gradient sizes across tissues and organisms.

developmental biology↗