Activation of proto-oncogenes by disruption of chromosome neighborhoods

Novel germline and somatic variants in familial and sporadic meningioma genes

Meningiomas arise from arachnoid cells in the meninges surrounding the brain and spinal cord and are attributed to NF2 pathogenic variants in, approximately 60% of cases. Using exome sequencing, we found heterozygous germline variants in nine potential novel meningioma genes across four families and four sporadic cases. We then screened for germline and somatic variants in these genes and 11 known meningioma genes in 76 sporadic meningiomas blood/tumor pairs. We identified 18 germline and 58 somatic variants in 18 of the 20 genes, including seven of our newly proposed meningioma genes: CSMD3, EXTL3, FAT3, RAB44, RARA, RECQL4, and TNRC6A. Chromosomal abnormalities were identified in 39 of 49 tumors that also carried germline or somatic variants, with 71.8% encompassing NF2. This study provides potential novel genetic risk factors of meningiomas appropriate for further exploration from the greater scientific community and pathways to consider in the design of future therapeutic approaches.

Transcription factor cooperativity at a GATA3 tandem DNA sequence determines oncogenic enhancer-mediated activation

The TAL1 oncogene driving T cell lymphoblastic leukemia is frequently activated through mutated cis-regulatory elements, whereby small insertions or deletions (indels) create a binding site for the transcription factor MYB. Unraveling how non-coding mutations create oncogenic enhancers is key to understanding cancer biology and can provide important insights into fundamental mechanisms of gene regulation. Utilizing a CRISPR-Cas9 screening approach, we identify GATA3 as the key transcriptional regulator of enhancer-mediated TAL1 overexpression. CRISPR-Cas9 engineering of the mutant enhancer reveals a tandem GATA3 site that is required for binding of GATA3, chromatin accessibility, and MYB recruitment. Reciprocally, MYB binding to its motif is required for GATA3 recruitment, consistent with a transcription factor cooperativity model. Importantly, we show that GATA3 stabilizes a TAL1-MYB interaction and that complex formation requires GATA3 binding to DNA. Our work sheds light on the mechanisms of enhancer-mediated oncogene activation, where key transcription factors cooperate to achieve maximal transcriptional output, thereby supporting leukemogenesis.

Barrier effects on the kinetics of cohesin-mediated loop extrusion

Chromosome organization mediated by structural maintenance of chromosome complexes is crucial in many organisms. Cohesin extrudes chromatin into loops that are thought to lengthen until it is obstructed by CTCF proteins. In complex cellular environments, the loop extrusion machinery may encounter other chromatin-binding proteins. How these proteins interfere with the cohesin-meditated extrusion process is largely unexplored, but recent experiments have shown that some proteins serve as physical barriers that block cohesin translocation. Other proteins containing a cohesin-interaction motif serve as chemical barriers to induce cohesin pausing through interactions with it. Here, we develop an analytically solvable approach for the loop extrusion model incorporating barriers to investigate the effect of the barrier on the passive extrusion process. To further quantify the impact of barriers, we calculate the mean looping time it takes for cohesin to translocate to form a stable loop before dissociation. Our finding reveals that the physical barrier can accelerate the loop formation, and the degree of acceleration is closely related to the impedance strength of the physical barrier. In particular, the synergy of the cohesin loading site and the physical barrier site accelerates loop formation more significantly. The proximity of the cohesin loading site to the barrier site facilitates the rapid formation of stable loops in long genomes, which implies loop extrusion and chromatin-binding proteins might shape functional genomic organization. Conversely, chemical barriers consistently impede loop formation, with increasing impedance strength of the chemical barrier leading to longer loop formation time. Our study contributes to a more comprehensive understanding of the complexity of the loop extrusion process, providing a new perspective on the potential mechanisms of gene regulation.

A Multiscale Perspective on Chromatin Architecture through Polymer Physics

The spatial organization of chromatin within the eukaryotic nucleus is critical in regulating key cellular functions, such as gene expression, and its disruption can lead to disease. Advances in experimental techniques, such as Hi-C and microscopy, have significantly enhanced our understanding of chromatin's intricate and dynamic architecture, revealing complex patterns of interaction at multiple scales. Along with experimental methods, physics-based computational models, including polymer phase separation and loop-extrusion mechanisms, have been developed to explain chromatin structure in a principled manner. Here, we illustrate genomewide applications of these models, highlighting their ability to predict chromatin contacts across different scales and to spread light on the underlying molecular determinants. Additionally, we discuss how these models provide a framework for understanding alterations in chromosome folding associated with disease states, such as SARS-CoV-2 infection and pathogenic structural variants, providing valuable insights into the role of chromatin architecture in health and disease.

Evaluation of Genomic Proximity Mapping (GPM) for Detecting Genomic and Chromosomal Structural Variants in Constitutional Disorders

Genomic structural variants (SVs) are critical contributors to genetic diversity and disease, yet their detection remains challenging with conventional cytogenetic techniques, such as karyotyping, fluorescence in situ hybridization (FISH), and chromosome microarray analysis (CMA). These methods often lack the resolution and sensitivity needed for comprehensive characterization of chromosomal aberrations. To address these limitations, we implemented genomic proximity mapping (GPM), a genome-wide chromosome conformation capture technology, in a clinical setting. In this study, we applied GPM to a cohort of 123 patients with constitutional disorders, achieving a 100% concordance rate in detecting 411 CNVs and 39 structural rearrangements, in addition to novel findings missed by standard methods. GPM demonstrated unique advantages, such as resolving both balanced and unbalanced chromosomal rearrangements with precise (<5kb) breakpoint resolution, maintaining robust performance with challenging samples, including formalin-fixed, paraffin-embedded (FFPE) tissues, and detecting mosaicism with high sensitivity. Furthermore, GPM reliably provided detailed copy number and loss-of-heterozygosity profiles, streamlining workflows and enhancing diagnostic resolution. GPM represents a transformative tool for genomic diagnostics, offering a high-resolution, comprehensive approach to detecting diverse genomic alterations. Its ability to address limitations of conventional cytogenetics methods positions GPM as a needed advance in the diagnosis, prognosis, and therapeutic management of genetic disorders.

Unveiling chromatin dynamics with virtual epigenome

The three-dimensional organization of chromatin is essential for gene regulation and cellular function, with epigenome playing a key role. Hi-C methods have expanded our understanding of chromatin interactions, but their high cost and complexity limit their use. Existing models for predicting chromatin interactions rely on limited ChIP-seq inputs, reducing their accuracy and generalizability. In this work, we present a computational approach, EpiVerse, which leverages imputed epigenetic signals and advanced deep learning techniques. EpiVerse significantly improves the accuracy of cross-cell-type Hi-C prediction, while also enhancing model interpretability by incorporating chromatin state prediction within a multitask learning framework. Moreover, EpiVerse predicts Hi-C contact maps across an array of 39 human tissues, which provides a comprehensive view of the complex relationship between chromatin structure and gene regulation. Furthermore, EpiVerse facilitates unprecedented in silico perturbation experiments at the "epigenome-level" to unveil the chromatin architecture under specific conditions. EpiVerse is available on GitHub: https://github.com/jhhung/EpiVerse .

Deregulated enhancer-promoter communication in cancer through altered nuclear architecture

Enhancers are critical regulators of gene expression. Structural variations in cancer genomes can lead to enhancer hijacking, where oncogenes are activated by mistargeted enhancer activity. Novel enhancer-promoter interactions may also arise through chromosomal rearrangements that create extrachromosomal DNA elements. Additionally, fusion proteins and other mutation-induced alterations in protein properties can lead to the aberrant assembly of proteins into large complexes on the size scale of 0.1-1 μm termed onco-condensates. Transcription factors and co-activators accumulate with cis-regulatory elements in these structures, driving oncogenic programs. Here, we review current evidence of how altered genome architecture and macromolecular assembly result in deregulated enhancer-promoter communication. We discuss emerging strategies to exploit these mechanisms for clinical applications.

High-resolution dynamic imaging of chromatin DNA communication using Oligo-LiveFISH

Three-dimensional (3D) genome dynamics are crucial for cellular functions and disease. However, real-time, live-cell DNA visualization remains challenging, as existing methods are often confined to repetitive regions, suffer from low resolution, or require complex genome engineering. Here, we present Oligo-LiveFISH, a high-resolution, reagent-based platform for dynamically tracking non-repetitive genomic loci in diverse cell types, including primary cells. Oligo-LiveFISH utilizes fluorescent guide RNA (gRNA) oligo pools generated by computational design, in vitro transcription, and chemical labeling, delivered as ribonucleoproteins. Utilizing machine learning, we characterized the impact of gRNA design and chromatin features on imaging efficiency. Multi-color Oligo-LiveFISH achieved 20-nm spatial resolution and 50-ms temporal resolution in 3D, capturing real-time enhancer and promoter dynamics. Our measurements and dynamic modeling revealed two distinct modes of chromatin communication, and active transcription slows enhancer-promoter dynamics at endogenous genes like FOS. Oligo-LiveFISH offers a versatile platform for studying 3D genome dynamics and their links to cellular processes and disease.

Rewiring cancer: 3D genome determinants of cancer hallmarks

In modern cancer biology, Hanahan and Weinberg's classic depiction of the Hallmarks of Cancer serves as a heuristic for understanding malignant phenotypes [1]. Genetic determinants of these phenotypes promote cancer induction and progression, and these mutations drive current approaches to understanding and treating cancer. Meanwhile, for over a century, pathologists have noted that profound alterations of nuclear structure accompany transformation, integrating these changes into diagnostic classifications (Figure 1). Nevertheless, the relationship of nuclear organization to malignant phenotypes has lagged. Recent advances yield profound insight into the 3D genome's relationship with cancer phenotypes, suggesting that spatial genome organization influences many, if not all, of these malignant features. Here, we highlight recent discoveries elucidating connections between 3D genome organization and cancer phenotypes.

CTCF Point Mutation at R567 Disrupts Mouse Heart Development via 3D Genome Rearrangement and Transcription Dysregulation

CTCF plays a vital role in shaping chromatin structure and regulating gene expression. Clinical studies have associated CTCF mutations with congenital developmental abnormalities, including congenital cardiomyopathy. In this study, we investigated the impact of the homozygous CTCF-R567W (Ctcf R567W/R567W ) mutation on cardiac tissue morphogenesis during mouse embryonic development. Our results reveal significant impairments in heart development, characterised by ventricular muscle trabecular hyperplasia and reduced ventricular cavity sizes. We also observe a marked downregulation of genes involved in sarcomere assembly, calcium ion transport, and mitochondrial function in heart tissues from homozygous mice. Furthermore, the Ctcf R567W/R567W mutation disrupts CTCF's interaction with chromatin, resulting in alterations to topologically associating domain (TAD) structure within specific genomic regions and diminishing crucial promoter-enhancer interactions necessary for cardiac development. Additionally, we find that the heterozygous CTCF-R567W (Ctcf +/R567W ) mutation significantly compromises cardiac contractility in 8-week-old mice. This study elucidates the mechanism by which the CTCF-R567W mutation hampers cardiac development, underscoring the essential role of CTCF-R567 in embryonic heart development and maturation.

CTCF enhances pancreatic cancer progression via FLG-AS1-dependent epigenetic regulation and macrophage polarization

CCCTC-binding factor (CTCF) regulates chromatin organization and is upregulated in pancreatic ductal adenocarcinoma (PDAC). We found that CTCF interacts with HNRNPU through a FLG-AS1-dependent mechanism, facilitating the recruitment of EP300 and activation of the m6A reader IGF2BP2. This activation promotes histone lactylation at the promoter region of IGF2BP2 stimulating the proliferation of PDAC cells. IGF2BP2 enhanced the mRNA stability of CSF1 and MYC. Moreover, FLG-AS1 directly interacts with HNRNPU to modulate alternative splicing of CSF1, thus promoting the M2 polarization of tumor associated macrophages (TAMs) in PDAC. The results indicated that CTCF-induced oncogenic modification of histone lactylation, m6A and alternative spilcing as multi-regulation modes of TAMs reprogramming in PDAC and identifies CTCF as a potential therapeutic target for PDAC immunotherapy whose inhibition M2 polarization through the IGF2BP2/CSF1/CSF1R axis. Curaxin combined with gemcitabine treatment has shown promising antitumor efficacy against PDAC.

Regulation of 3D genome organization during T cell activation

Within the three-dimensional (3D) nuclear space, the genome organizes into a series of orderly structures that impose important influences on gene regulation. T lymphocytes, crucial players in adaptive immune responses, undergo intricate transcriptional remodeling upon activation, leading to differentiation into specific effector and memory T cell subsets. Recent evidence suggests that T cell activation is accompanied by dynamic changes in genome architecture at multiple levels, providing a unique biological context to explore the functional relevance and molecular mechanisms of 3D genome organization. Here, we summarize recent advances that link the reorganization of genome architecture to the remodeling of transcriptional programs and conversion of cell fates during T cell activation and differentiation. We further discuss how various chromatin architecture regulators, including CCCTC-binding factor and several transcription factors, collectively modulate the genome architecture during this process.

Element-specific estimation of background mutation rates in whole cancer genomes through transfer learning

Mutational burden tests are essential for detecting signals of positive selection in cancer driver discovery by comparing observed mutation rates with background mutation rates (BMRs). However, accurate BMR estimation is challenging due to the diversity of mutational processes across genomes, complicating driver discovery efforts. Existing methods rely on various genomic regions and features for BMR estimation but lack a model that integrates both intergenic intervals and functional genomic elements on a comprehensive set of genomic features. Here, we introduce eMET (element-specific Mutation Estimator with boosted Trees), which employs 1372 (epi)genomic features from intergenic data and fine-tunes it with element-specific data through transfer learning. Applied to PCAWG somatic mutations, eMET significantly improves BMR accuracy and has potential to enhance driver discovery. Additionally, we provide an extensive analysis of BMR estimation, examining different machine learning models, genomic interval strategies, feature categories, and dimensionality reduction techniques.

Evolutionary divergence in CTCF-mediated chromatin topology drives transcriptional innovation in humans

Chromatin topology can impact gene regulation, but how evolutionary divergence in chromatin topology has shaped gene regulatory landscapes for distinctive human traits remains poorly understood. CTCF sites determine chromatin topology by forming domains and loops. Here, we show evolutionary divergence in CTCF-mediated chromatin topology at the domain and loop scales during primate evolution, elucidating distinct mechanisms for shaping regulatory landscapes. Human-specific divergent domains lead to a broad rewiring of transcriptional landscapes. Divergent CTCF loops concord with species-specific enhancer activity, influencing enhancer connectivity to target genes in a concordant yet constrained manner. Under this concordant mechanism, we establish the role of human-specific CTCF loops in shaping transcriptional isoform diversity, with functional implications for disease susceptibility. Furthermore, we validate the function of these human-specific CTCF loops using human forebrain organoids. This study advances our understanding of genetic evolution from the perspective of genome architecture.

Integrating Single-Molecule Sequencing and Deep Learning to Predict Haplotype-Specific 3D Chromatin Organization in a Mendelian Condition

The three-dimensional (3D) architecture of the genome plays a crucial role in gene regulation and various human diseases. Short-read sequencing methods for measuring 3D genome organization are powerful, but they lack the ability to resolve individual human haplotypes or structurally complex regions. To address this, we present FiberFold, a deep learning model that combines convolutional neural networks and transformer architectures to accurately predict cell-type-specific and haplotype-specific 3D genome organization using multi-omic data from a single, long-read sequencing assay, Fiber-seq. By applying FiberFold to a cell line with allelic X-inactivation, we show that Topologically Associated Domains (TADs) are attenuated on the inactive chrX. Furthermore, FiberFold predicts significant changes to TADs surrounding a 13;X balanced translocation in a patient with a rare Mendelian disease. FiberFold showcases the power of integrating long-read epigenomic sequencing with deep learning tools to investigate fundamental chromatin biology as well as the molecular basis of human disease.

CTCF-RNA interactions orchestrate cell-specific chromatin loop organization

CCCTC-binding factor (CTCF) is essential for chromatin organization. CTCF interacts with endogenous RNAs, and deletion of its ZF1 RNA-binding region (ΔZF1) disrupts chromatin loops in mouse embryonic stem cells (ESCs). However, the functional significance of CTCF-ZF1 RNA interactions during cell differentiation is unknown. Using an ESC-to-neural progenitor cell (NPC) differentiation model, we show that CTCF-ZF1 is crucial for maintaining cell-type-specific chromatin loops. Expression of CTCF-ΔZF1 leads to disrupted loops and dysregulation of genes within these loops, particularly those involved in neuronal development and function. We identified NPC-specific, CTCF-ZF1 interacting RNAs. Truncation of two such coding RNAs, Podxl and Grb10, disrupted chromatin loops in cis, similar to the disruption seen in CTCF-ΔZF1 expressing NPCs. These findings underscore the inherent importance of CTCF-ZF1 RNA interactions in preserving cell-specific genome structure and cellular identity.

Estrogen-induced chromatin looping changes identify a subset of functional regulatory elements

Transcriptional enhancers can regulate individual or multiple genes through long-range three-dimensional (3D) genome interactions, and these interactions are commonly altered in cancer. Yet, the functional relationship between changes in 3D genome interactions associated with regulatory regions and differential gene expression appears context-dependent. In this study, we used HiChIP to capture changes in 3D genome interactions between active regulatory regions of endometrial cancer cells in response to estrogen treatment and uncovered significant differential long-range interactions strongly enriched for estrogen receptor alpha (ER, also known as ESR1)-bound sites (ERBSs). The ERBSs anchoring differential chromatin loops with either a gene's promoter or distal regions were correlated with larger transcriptional responses to estrogen compared with ERBSs not involved in differential 3D genome interactions. To functionally test this observation, CRISPR-based Enhancer-i was used to deactivate specific ERBSs, which revealed a wide range of effects on the transcriptional response to estrogen. However, these effects are only subtly and not significantly stronger for ERBSs in differential chromatin loops. In addition, we observed an enrichment of 3D genome interactions between the promoters of estrogen-upregulated genes and found that looped promoters can work together cooperatively. Overall, our work reveals that estrogen treatment causes large changes in 3D genome structure in endometrial cancer cells; however, these changes are not required for a regulatory region to contribute to an estrogen transcriptional response.

Long-range enhancer-controlled genes are hypersensitive to regulatory factor perturbations

Cell-type-specific gene activation is regulated by enhancers, sometimes located at large genomic distances from target gene promoters. Whether distal enhancers require specific factors to orchestrate gene regulation remains unclear. Here, we used enhancer distance-controlled reporter screens to find candidate factors. We depleted them and employed activity-by-contact predictions to genome-wide classify genes based on enhancer distance. Predicted distal enhancers typically control tissue-restricted genes and often are strong enhancers. We find cohesin, but also mediator, most specifically required for long-range activation, with cohesin repressing short-range gene activation and prioritizing distal over proximal HBB genes competing for shared enhancers. Long-range controlled genes are also most sensitive to perturbations of other regulatory proteins and to BET inhibitor JQ1, this being more a consequence of their distinct enhancer features than distance. Our work predicts that lengthening of intervening sequences can help limit the expression of target genes to specialized cells with optimal trans-factor environments.

deepTAD: an approach for identifying topologically associated domains based on convolutional neural network and transformer model

MOTIVATION

Topologically associated domains (TADs) play a key role in the 3D organization and function of genomes, and accurate detection of TADs is essential for revealing the relationship between genomic structure and function. Most current methods are developed to extract features in Hi-C interaction matrix to identify TADs. However, due to complexities in Hi-C contact matrices, it is difficult to directly extract features associated with TADs, which prevents current methods from identifying accurate TADs.

RESULTS

In this paper, a novel method is proposed, deepTAD, which is developed based on a convolutional neural network (CNN) and transformer model. First, based on Hi-C contact matrix, deepTAD utilizes CNN to directly extract features associated with TAD boundaries. Next, deepTAD takes advantage of the transformer model to analyze the variation features around TAD boundaries and determines the TAD boundaries. Second, deepTAD uses the Wilcoxon rank-sum test to further identify false-positive boundaries. Finally, deepTAD computes cosine similarity among identified TAD boundaries and assembles TAD boundaries to obtain hierarchical TADs. The experimental results show that TAD boundaries identified by deepTAD have a significant enrichment of biological features, including structural proteins, histone modifications, and transcription start site loci. Additionally, when evaluating the completeness and accuracy of identified TADs, deepTAD has a good performance compared with other methods. The source code of deepTAD is available at https://github.com/xiaoyan-wang99/deepTAD.

3D genome landscape of primary and metastatic colorectal carcinoma reveals the regulatory mechanism of tumorigenic and metastatic gene expression

Colorectal carcinoma (CRC) is a deadly cancer with an aggressive nature, and how CRC tumor cells manage to translocate and proliferate in a new tissue environment remains not fully understood. Recently, higher-order chromatin structures and spatial genome organization are increasingly implicated in diseases including cancer, but in-depth studies of three-dimensional genome (3D genome) of metastatic cancer are currently lacking, preventing the understanding of the roles of genome organization during metastasis. Here we perform multi-omics profiling of matched normal colon, primary tumor, lymph node metastasis, liver metastasis and normal liver tissue from CRC patients using Hi-C, ATAC-seq and RNA-seq technologies. We find that widespread alteration of 3D chromatin structure is accompanied by dysregulation of genes including SPP1 during the tumorigenesis or metastasis of CRC. Remarkably, the hierarchy of topological associating domain (TAD) changes dynamically, which challenges the traditional view that the TAD structure between tumor and normal tissue is conservative. In addition, we define compartment stability score to measure large-scale alteration in metastatic tumors. To integrate multi-omics data and recognize candidate genes driving cancer metastasis, a pipeline is developed based on Hi-C, RNA-seq and ATAC-seq data. And three candidate genes ARL4C, FLNA, and RGCC are validated to be associated with CRC cell migration and invasion using in vitro knockout experiments. Overall, these data resources and results offer new insights into the involvement of 3D genome in cancer metastasis.

Bidirectional epigenetic editing reveals hierarchies in gene regulation

CRISPR perturbation methods are limited in their ability to study non-coding elements and genetic interactions. In this study, we developed a system for bidirectional epigenetic editing, called CRISPRai, in which we apply activating (CRISPRa) and repressive (CRISPRi) perturbations to two loci simultaneously in the same cell. We developed CRISPRai Perturb-seq by coupling dual perturbation gRNA detection with single-cell RNA sequencing, enabling study of pooled perturbations in a mixed single-cell population. We applied this platform to study the genetic interaction between two hematopoietic lineage transcription factors, SPI1 and GATA1, and discovered novel characteristics of their co-regulation on downstream target genes, including differences in SPI1 and GATA1 occupancy at genes that are regulated through different modes. We also studied the regulatory landscape of IL2 (interleukin-2) in Jurkat T cells, primary T cells and chimeric antigen receptor (CAR) T cells and elucidated mechanisms of enhancer-mediated IL2 gene regulation. CRISPRai facilitates investigation of context-specific genetic interactions, provides new insights into gene regulation and will enable exploration of non-coding disease-associated variants.

Insights into Extrachromosomal DNA in Cancer: Biogenesis, Methodologies, Functions, and Therapeutic Potential

Originating from, but independent of, linear chromosomes, extrachromosomal DNA (ecDNA) exists in a more active state of transcription and autonomous replication. It plays a crucial role in the development of malignancies and therapy resistance. Since its discovery in eukaryotic cells more than half a century ago, the biological characteristics and functions of ecDNA have remained unclear due to limitations in detection methods. However, recent advancements in research tools have transformed ecDNA research. It is believed that ecDNA exhibits greater activity in the abnormal amplification of oncogenes, thereby driving cancer progression through their overexpression. Notably, compared to linear DNA, ecDNA can also function as a genomic element with regulatory roles, including both trans- and cis-acting functions. Its critical roles in tumorigenesis, evolution, progression, and drug resistance in malignant tumors are increasingly recognized. This review provides a comprehensive summary of the evolutionary context of ecDNA and highlights significant progress in understanding its biological functions and potential applications as a therapeutic target in malignant tumors.

Molecular mechanisms altering cell identity in cancer

Intrinsic and extrinsic factors influence cancer cell identity throughout its lifespan. During tumor progression and metastasis formation, cancer cells are exposed to different environmental stimuli, resulting in a stepwise cellular reprogramming. Similar stepwise changes of cell identity have been shown as a major consequence of cancer treatment, as cells are exposed to extracellular stress that can result in the establishment of subpopulations exhibiting different epigenetic and transcriptional patterns, indicating a rapid adaptation mechanism of cellular identity by extrinsic stress factors. Both mechanisms, tumor progression-mediated changes and therapy response, rely on signaling pathways affecting the epigenetic and subsequent transcriptional landscape, which equip the cells with mechanisms for survival and tumor progression. These non-genetic alterations are propagated to the daughter cells, indicating a need for successful information propagation and transfer to the daughter generations, thereby allowing for a stepwise adaptation to environmental cues. However, the exact mechanisms how these cell identity changes are occurring, which context-specific mechanisms are behind and how this can be exploited for future therapeutic interventions is not yet fully understood and exploited. In this review, we discuss the current knowledge on cell identity maintenance mechanisms intra- and intergenerational in development and disease and how these mechanisms are altered in cancer. We will as well address how cancer treatment might target these properties.

Binding domain mutations provide insight into CTCF's relationship with chromatin and its contribution to gene regulation

Here we used a series of CTCF mutations to explore CTCF's relationship with chromatin and its contribution to gene regulation. CTCF's impact depends on the genomic context of bound sites and the unique binding properties of WT and mutant CTCF proteins. Specifically, CTCF's signal strength is linked to changes in accessibility, and the ability to block cohesin is linked to its binding stability. Multivariate modelling reveals that both CTCF and accessibility contribute independently to cohesin binding and insulation, however CTCF signal strength has a stronger effect. CTCF and chromatin have a bidirectional relationship such that at CTCF sites, accessibility is reduced in a cohesin-dependent, mutant specific fashion. In addition, each mutant alters TF binding and accessibility in an indirect manner, changes which impart the most influence on rewiring transcriptional networks and the cell's ability to differentiate. Collectively, the mutant perturbations provide a rich resource for determining CTCF's site-specific effects.

Bridging scales in chromatin organization: Computational models of loop formation and their implications for genome function

Chromatin loop formation plays a crucial role in 3D genome interactions, with misfolding potentially leading to irregular gene expression and various diseases. While experimental tools such as Hi-C have advanced our understanding of genome interactions, the biophysical principles underlying chromatin loop formation remain elusive. This review examines computational approaches to chromatin folding, focusing on polymer models that elucidate chromatin loop mechanics. We discuss three key models: (1) the multi-loop-subcompartment model, which investigates the structural effects of loops on chromatin conformation; (2) the strings and binders switch model, capturing thermodynamic chromatin aggregation; and (3) the loop extrusion model, revealing the role of structural maintenance of chromosome complexes. In addition, we explore advanced models that address chromatin clustering heterogeneity in biological processes and disease progression. The review concludes with an outlook on open questions and current trends in chromatin loop formation and genome interactions, emphasizing the physical and computational challenges in the field.

Estrogen-induced chromatin looping changes identify a subset of functional regulatory elements

Transcriptional enhancers can regulate individual or multiple genes through long-range three-dimensional (3D) genome interactions, and these interactions are commonly altered in cancer. Yet, the functional relationship between changes in 3D genome interactions associated with regulatory regions and differential gene expression appears context-dependent. In this study, we used HiChIP to capture changes in 3D genome interactions between active regulatory regions of endometrial cancer cells in response to estrogen treatment and uncovered significant differential long-range interactions strongly enriched for estrogen receptor α (ER) bound sites (ERBS). The ERBS anchoring differential chromatin loops with either a gene's promoter or distal regions were correlated with larger transcriptional responses to estrogen compared to ERBS not involved in differential 3D genome interactions. To functionally test this observation, CRISPR-based Enhancer-i was used to deactivate specific ERBS, which revealed a wide range of effects on the transcriptional response to estrogen. However, these effects are only subtly and not significantly stronger for ERBS in differential chromatin loops. In addition, we observed an enrichment of 3D genome interactions between the promoters of estrogen upregulated genes and found that looped promoters can work together cooperatively. Overall, our work reveals that estrogen treatment causes large changes in 3D genome structure in endometrial cancer cells; however, these changes are not required for a regulatory region to contribute to an estrogen transcriptional response.

Multi-locus CRISPRi targeting with a single truncated guide RNA

A critical goal in functional genomics is evaluating which non-coding elements contribute to gene expression, cellular function, and disease. Functional characterization remains a challenge due to the abundance and complexity of candidate elements. Here, we develop a CRISPRi-based approach for multi-locus screening of putative transcription factor binding sites with a single truncated guide. A truncated guide with hundreds of sequence match sites can reliably disrupt enhancer activity, which expands the targeting scope of CRISPRi while maintaining repressive efficacy. We screen over 13,000 possible CTCF binding sites with 24 guides at 10 nucleotides in spacer length. These truncated guides direct CRISPRi-mediated deposition of repressive H3K9me3 marks and disrupt transcription factor binding at most sequence match target sites. This approach can be a valuable screening step for testing transcription factor binding motifs or other repeated genomic sequences and is easily implemented with existing tools.

Chromatin Topological Domains Associate With the Rapid Formation of Tandem Duplicates in Plants

In eukaryotes, chromatin is compacted within nuclei under the principle of compartmentalization. On top of that, condensin II establishes eukaryotic chromosome territories, while cohesin organizes the vertebrate genome by extruding chromatin loops and forming topologically associating domains (TADs). Thus far, the formation and roles of these chromatin structures in plants remain poorly understood. This study integrates Hi-C data from diverse plant species, demonstrating that nuclear DNA content influences large-scale chromosome conformation and affects the finer details of compartmental patterns. These contrasting compartmental patterns are distinguished by gene-to-gene loops and validated through cytological observations. Additionally, a novel chromatin domain type associated with tandem duplicate gene clusters is identified. These domains are independent of H3K27me3-mediated chromatin compartmentalization and exhibit evolutionary conservation across species. Gene pairs within TAD-like domains are younger and show higher levels of coexpression. These domains potentially promote the formation of tandem duplicates, a property appears unique to the Actinidia family. Overall, this study reveals functional chromatin domains in plants and provides evidence for the role of three-dimensional chromatin architecture in gene regulation and genome evolution.

Epigenetic priming promotes acquisition of tyrosine kinase inhibitor resistance and oncogene amplification in human lung cancer

In mammalian cells, gene copy number is tightly controlled to maintain gene expression and genome stability. However, a common molecular feature across cancer types is oncogene amplification, which promotes cancer progression by drastically increasing the copy number and expression of tumor-promoting genes. For example, in tyrosine kinase inhibitor (TKI)-resistant lung adenocarcinoma (LUAD), oncogene amplification occurs in over 40% of patients' tumors. Despite the prevalence of oncogene amplification in TKI-resistant tumors, the mechanisms facilitating oncogene amplification are not fully understood. Here, we find that LUADs exhibit a unique chromatin signature demarcated by strong CTCF and cohesin deposition in drug-naïve tumors, which correlates with the boundaries of oncogene amplicons in TKI-resistant LUAD cells. We identified a global chromatin priming effect during the acquisition of TKI resistance, marked by a dynamic increase of H3K27Ac, cohesin loading, and inter-TAD interactions, which occurs before the onset of oncogene amplification. Furthermore, we have found that the METTL7A protein, which was previously reported to localize to the endoplasmic reticulum and inner nuclear membrane, has a novel chromatin regulatory function by binding to amplified loci and regulating cohesin recruitment and inter-TAD interactions. Surprisingly, we discovered that METTL7A remodels the chromatin landscape prior to large-scale copy number gains. Furthermore, while METTL7A depletion has little effect on the chromatin structure and proliferation of drug-naïve cells, METTL7A depletion prevents the formation and maintenance of TKI resistant-clones, highlighting the specific role of METTL7A as cells are becoming resistant. In summary, we discovered an unexpected mechanism required for the acquisition of TKI resistance regulated by a largely uncharacterized factor, METTL7A. This discovery sheds light into the maintenance of oncogene copy number and paves the way to the development of new therapeutics for preventing TKI resistance in LUAD.

Mechanisms of enhancer-driven oncogene activation

An aggressive subtype of acute myeloid leukemia (AML) is caused by enhancer hijacking resulting in MECOM overexpression. Several chromosomal rearrangements can lead to this: the most common (inv(3)/t(3;3)) results in a hijacked GATA2 enhancer, and there are several atypical MECOM rearrangements involving enhancers from other hematopoietic genes. The set of enhancers which can be hijacked by MECOM can also be hijacked by BCL11B. Enhancer deregulation is also a driver of oncogenesis in a range of other malignancies. The mechanisms of enhancer deregulation observed in other cancer types, including TAD boundary disruptions and the creation of de novo (super-) enhancers, may explain overexpression of MECOM or other oncogenes in AML without enhancer hijacking upon translocation. Gaining mechanistic insight in both enhancer deregulation and super-enhancer activity is critical to pave the way for new treatments for AML and other cancers that are the result of enhancer deregulation.

Genomic clustering tendency of transcription factors reflects phase-separated transcriptional condensates at super-enhancers

Many transcription factors (TFs) have been shown to bind to super-enhancers, forming transcriptional condensates to activate transcription in various cellular systems. However, the genomic and epigenomic determinants of phase-separated transcriptional condensate formation remain poorly understood. Questions regarding which TFs tend to associate with transcriptional condensates and what factors influence their association are largely unanswered. Here we systematically analyzed 571 DNA sequence motifs across the human genome and 6650 TF binding profiles across different cell types to identify the molecular features contributing to the formation of transcriptional condensates. We found that the genomic distributions of sequence motifs for different TFs exhibit distinct clustering tendencies. Notably, TF motifs with a high genomic clustering tendency are significantly associated with super-enhancers. TF binding profiles showing a high genomic clustering tendency are further enriched at cell-type-specific super-enhancers. TFs with a high binding clustering tendency also possess high liquid-liquid phase separation abilities. Compared to nonclustered TF binding, densely clustered TF binding sites are more enriched at cell-type-specific super-enhancers with higher chromatin accessibility, elevated chromatin interaction and stronger association with cancer outcomes. Our results indicate that the clustered genomic binding patterns and the phase separation properties of TFs collectively contribute to the formation of transcriptional condensates.

Super-enhancers in tumors: unraveling recent advances in their role in Oncogenesis and the emergence of targeted therapies

Super enhancers are a unique class of enhancers that possess a distinct structure and mechanism, which enable them to exhibit stronger gene transcription regulatory function than classical enhancers, thereby regulating cellular activities. In tumor samples, super enhancers have been identified as crucial players in the development and progression of tumor cells, opening up new avenues for cancer research and treatment. This review provides a concise overview of various models regarding super enhancer assembly and activation, examining the mechanisms through which tumor cells acquire or activate these enhancers and regulate carcinogenic transcription programs. Furthermore, we discuss the current landscape and challenges in developing cancer therapeutic drugs that target super enhancers.

LDB1 establishes multi-enhancer networks to regulate gene expression

How specific enhancer-promoter pairing is established remains mostly unclear. Besides the CTCF/cohesin machinery, few nuclear factors have been studied for a direct role in physically connecting regulatory elements. Using a murine erythroid cell model, we show via acute degradation experiments that LDB1 directly and broadly promotes connectivity among regulatory elements. Most LDB1-mediated contacts, even those spanning hundreds of kb, can form in the absence of CTCF, cohesin, or YY1 as determined using 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 aids 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 observe that loop formation and de novo LDB1 occupancy correlate and can occur independently of structural loops. Tri-C and Region Capture Micro-C reveal that LDB1 organizes multi-enhancer networks to activate transcription. These findings establish LDB1 as a driver of spatial connectivity.

TRIM28 is an essential regulator of three-dimensional chromatin state underpinning CD8+ T cell activation

T cell activation is accompanied by extensive changes in epigenome. However, the high-ordered chromatin organization underpinning CD8+ T cell activation is not fully known. Here, we show extensive changes in the three-dimensional genome during CD8+ T cell activation, associated with changes in gene transcription. We show that CD8+ T-cell-specific deletion of Trim28 in mice disrupts autocrine IL-2 production and leads to impaired CD8+ T cell activation in vitro and in vivo. Mechanistically, TRIM28 binds to regulatory regions of genes associated with the formation of chromosomal loops during activation. At the loop anchor regions, TRIM28-occupancy overlaps with that of CTCF, a factor known for defining the boundaries of topologically associating domains and for forming of the loop anchors. In the absence of Trim28, RNA Pol II and cohesin binding to these regions diminishes, and the chromosomal structure required for the active state is disrupted. These results thus identify a critical role for TRIM28-dependent chromatin topology in gene transcription in activated CD8+ T cells.

Long G4-rich enhancers target promoters via a G4 DNA-based mechanism

Several studies have now described instances where G-rich sequences in promoters and enhancers regulate gene expression through forming G-quadruplex (G4) structures. Relatedly, our group recently identified 301 long genomic stretches significantly enriched for minimal G4 motifs (LG4s) in humans and found the majority of these overlap annotated enhancers, and furthermore, that the promoters regulated by these LG4 enhancers are similarly enriched with G4-capable sequences. While the generally accepted model for enhancer:promoter specificity maintains that interactions are dictated by enhancer- and promoter-bound transcriptional activator proteins, the current study tested an alternative hypothesis: that LG4 enhancers interact with cognate promoters via a direct G4:G4 DNA-based mechanism. This work establishes the nuclear proximity of LG4 enhancer:promoter pairs, biochemically demonstrates the ability of individual LG4 single-stranded DNAs (ssDNAs) to directly interact target promoter ssDNAs, and confirms that these interactions, as well as the ability of LG4 enhancers to activate target promoters in culture, are mediated by G4 DNA.

Machine and Deep Learning Methods for Predicting 3D Genome Organization

Three-dimensional (3D) chromatin interactions, such as enhancer-promoter interactions (EPIs), loops, topologically associating domains (TADs), and A/B compartments, play critical roles in a wide range of cellular processes by regulating gene expression. Recent development of chromatin conformation capture technologies has enabled genome-wide profiling of various 3D structures, even with single cells. However, current catalogs of 3D structures remain incomplete and unreliable due to differences in technology, tools, and low data resolution. Machine learning methods have emerged as an alternative to obtain missing 3D interactions and/or improve resolution. Such methods frequently use genome annotation data (ChIP-seq, DNAse-seq, etc.), DNA sequencing information (k-mers and transcription factor binding site (TFBS) motifs), and other genomic properties to learn the associations between genomic features and chromatin interactions. In this review, we discuss computational tools for predicting three types of 3D interactions (EPIs, chromatin interactions, and TAD boundaries) and analyze their pros and cons. We also point out obstacles to the computational prediction of 3D interactions and suggest future research directions.

Repression of CADM1 transcription by HPV type 18 is mediated by three-dimensional rearrangement of promoter-enhancer interactions

Upon infection, human papillomavirus (HPV) manipulates host cell gene expression to create an environment that is supportive of a productive and persistent infection. The virus-induced changes to the host cell's transcriptome are thought to contribute to carcinogenesis. Here, we show by RNA-sequencing that oncogenic HPV18 episome replication in primary human foreskin keratinocytes (HFKs) drives host transcriptional changes that are consistent between multiple HFK donors. We have previously shown that HPV18 recruits the host protein CTCF to viral episomes to control the differentiation-dependent viral transcriptional programme. Since CTCF is an important regulator of host cell transcription via coordination of epigenetic boundaries and long-range chromosomal interactions, we hypothesised that HPV18 may also manipulate CTCF to contribute to host transcription reprogramming. Analysis of CTCF binding in the host cell genome by ChIP-Seq revealed that while the total number of CTCF binding sites is not altered by the virus, there are a sub-set of CTCF binding sites that are either enriched or depleted of CTCF. Many of these altered sites are clustered within regulatory elements of differentially expressed genes, including the tumour suppressor gene cell adhesion molecule 1 (CADM1), which supresses epithelial cell growth and invasion. We show that HPV18 establishment results in reduced CTCF binding at the CADM1 promoter and upstream enhancer. Loss of CTCF binding is coincident with epigenetic repression of CADM1, in the absence of CpG hypermethylation, while adjacent genes including the transcriptional regulator ZBTB16 are activated. These data indicate that the CADM1 locus is subject to topological rearrangement following HPV18 establishment. We tested this hypothesis using 4C-Seq (circular chromosome confirmation capture-sequencing) and show that HPV18 establishment causes a loss of long-range chromosomal interactions between the CADM1 transcriptional start site and the upstream transcriptional enhancer. These data show that HPV18 manipulates host cell promoter-enhancer interactions to drive transcriptional reprogramming that may contribute to HPV-induced disease progression.

Evolution and function of chromatin domains across the tree of life

The genome of all organisms is spatially organized to function efficiently. The advent of genome-wide chromatin conformation capture (Hi-C) methods has revolutionized our ability to probe the three-dimensional (3D) organization of genomes across diverse species. In this Review, we compare 3D chromatin folding from bacteria and archaea to that in mammals and plants, focusing on topology at the level of gene regulatory domains. In doing so, we consider systematic similarities and differences that hint at the origin and evolution of spatial chromatin folding and its relation to gene activity. We discuss the universality of spatial chromatin domains in all kingdoms, each encompassing one to several genes. We also highlight differences between organisms and suggest that similar features in Hi-C matrices do not necessarily reflect the same biological process or function. Furthermore, we discuss the evolution of domain boundaries and boundary-forming proteins, which indicates that structural maintenance of chromosome (SMC) proteins and the transcription machinery are the ancestral sculptors of the genome. Architectural proteins such as CTCF serve as clade-specific determinants of genome organization. Finally, studies in many non-model organisms show that, despite the ancient origin of 3D chromatin folding and its intricate link to gene activity, evolution tolerates substantial changes in genome organization.

A PRE loop at the dac locus acts as a topological chromatin structure that restricts and specifies enhancer-promoter communication

Three-dimensional (3D) genome folding has a fundamental role in the regulation of developmental genes by facilitating or constraining chromatin interactions between cis-regulatory elements (CREs). Polycomb response elements (PREs) are a specific kind of CRE involved in the memory of transcriptional states in Drosophila melanogaster. PREs act as nucleation sites for Polycomb group (PcG) proteins, which deposit the repressive histone mark H3K27me3, leading to the formation of a class of topologically associating domain (TAD) called a Polycomb domain. PREs can establish looping contacts that stabilize the gene repression of key developmental genes during development. However, the mechanism by which PRE loops fine-tune gene expression is unknown. Using clustered regularly interspaced short palindromic repeats and Cas9 genome engineering, we specifically perturbed PRE contacts or enhancer function and used complementary approaches including 4C-seq, Hi-C and Hi-M to analyze how chromatin architecture perturbation affects gene expression. Our results suggest that the PRE loop at the dac gene locus acts as a constitutive 3D chromatin scaffold during Drosophila development that forms independently of gene expression states and has a versatile function; it restricts enhancer-promoter communication and contributes to enhancer specificity.

TAD-dependent sub-TAD is required for enhancer-promoter interaction enabling the β-globin transcription

Topologically associating domains (TADs) are chromatin domains in the eukaryotic genome. TADs often comprise several sub-TADs. The boundaries of TADs and sub-TADs are enriched in CTCF, an architectural protein. Deletion of CTCF-binding motifs at one boundary disrupts the domains, often resulting in a transcriptional decrease in genes inside the domains. However, it is not clear how TAD and sub-TAD affect each other in the domain formation. Unaffected gene transcription was observed in the β-globin locus when one boundary of TAD or sub-TAD was destroyed. Here, we disrupted β-globin TAD and sub-TAD by deleting CTCF motifs at both boundaries in MEL/ch11 cells. Disruption of TAD impaired sub-TAD, but sub-TAD disruption did not affect TAD. Both TAD and sub-TAD disruption compromised the β-globin transcription, accompanied by the loss of enhancer-promoter interactions. However, histone H3 occupancy and H3K27ac were largely maintained across the β-globin locus. Genome-wide analysis showed that putative enhancer-promoter interactions and gene transcription were decreased by the disruption of CTCF-mediated topological domains in neural progenitor cells. Collectively, our results indicate that there is unequal relationship between TAD and sub-TAD formation. TAD is likely not sufficient for gene transcription, and, therefore, sub-TAD appears to be required. TAD-dependently formed sub-TADs are considered to provide chromatin environments for enhancer-promoter interactions enabling gene transcription.

Focal deletions of a promoter tether activate the IRX3 oncogene in T-cell acute lymphoblastic leukemia

ABSTRACT

Oncogenes can be activated in cis through multiple mechanisms including enhancer hijacking events and noncoding mutations that create enhancers or promoters de novo. These paradigms have helped parse somatic variation of noncoding cancer genomes, thereby providing a rationale to identify noncanonical mechanisms of gene activation. Here we describe a novel mechanism of oncogene activation whereby focal copy number loss of an intronic element within the FTO gene leads to aberrant expression of IRX3, an oncogene in T-cell acute lymphoblastic leukemia (T-ALL). Loss of this CTCF-bound element downstream to IRX3 (+224 kb) leads to enhancer hijack of an upstream developmentally active super-enhancer of the CRNDE long noncoding RNA (-644 kb). Unexpectedly, the CRNDE super-enhancer interacts with the IRX3 promoter with no transcriptional output until it is untethered from the FTO intronic site. We propose that "promoter tethering" of oncogenes to inert regions of the genome is a previously unappreciated biological mechanism preventing tumorigenesis.

Epstein-Barr Virus and gastric carcinoma pathogenesis with emphasis on underlying epigenetic mechanisms

Gastric cancer (GC) remains one of the top causes of cancer-related mortality around the world. The pathogenesis of GC is attributed to lifestyle, family history, genetic mutations, epigenetic alterations, as well as infectious agents such as Epstein-Barr Virus (EBV). EBV, a ubiquitous human gamma herpes virus, with latent asymptomatic infection in more than 95% of the world's population, is able to infect through the oral epithelium. EBV is described as the first virus found in human neoplastic, when it was detected in Burkitt lymphoma tumor biopsy. Nowadays this virus is considered to be involved in various human malignancies such as GC. Despite comprehensive efforts and immense studies, the main underlying mechanism is not well described as there are crucial contradictions regarding the presence of this virus and the prognosis of the disease. Immunological alterations, genetic mutations, and epigenetic modifications are among the most important criteria presented in EBV- associated gastric cancer (EBVaGC), leading to its consideration as a separate subtype with unique clinical, histological, biochemical, and genetic characteristics. The current study aimed to review the association between EBV and GC with an emphasis on the role of epigenetic modifications in the suppression or progression of carcinogenesis. To put all findings in a nutshell, several genes and chromatin mutations, promoter hypermethylation and subsequent silencing of related genes, and histone modifications and aberrant micro RNAs (miRNAs) expression were considered as the major altered mechanisms in the pathogenesis of EBVaGC, most of which able to be suggested as therapeutic targets. However, the current knowledge appeared to be imperfect, hence further studies are encouraged.

A genome wide code to define cell-type specific CTCF binding and chromatin organization

CTCF-mediated chromatin folding plays a key role in gene regulation, however the mechanisms underlying cell type-specific control are not fully elucidated. Comprehensive analyses reveal that CTCF binding stability and cohesin overlap in mice and humans is regulated by species specific differences in accessibility, the presence of CTCF extended Up and Downstream binding site sequences and motifs corresponding to expressed TFs enriched at most bound sites. CTCF repositions nucleosomes asymmetrically, with linker spacing altered by accessibility, while cohesin-mediated nucleosome phasing is affected by surrounding motifs that similarly impact chromatin insulation. Importantly, cell type-specific transcriptional programs determine motif enrichment at CTCF bound sites, reflecting the stabilizing/destabilizing effect of individual TFs. These studies identify mechanisms underlying cell type-specific CTCF profiles, linked to local and long-range chromatin organization.

Comparative study of the three-dimensional genomes of granulosa cells in germinal vesicle and metaphase II follicles

Introduction

Follicle development is a critical process in the female reproductive system, with significant implications for fertility and reproductive health. Germinal vesicle (GV) oocytes are primary oocytes that are arrested in the dictyate stage, also known as the diplotene stage of meiotic prophase I. Metaphase II (MII) is the stage at which the oocyte is typically retrieved for assisted reproductive technologies such as in vitro fertilization (IVF). The granulosa cells play a pivotal role in follicle development processes. 3D chromatin organization is a fundamental aspect of cellular biology that has significant implications for gene regulation and cellular function.

Methods

In this study, we investigated 3D chromatin organization in granulosacells from GV and MII follicles, which is essential for understanding the regulatory mechanisms governing oocyte development.

Results

The results revealed distinct compartmentalization patterns,including stable genomic regions and transitions during oocyte maturation. Notably, there was a significant shift in functional gene activation, particularly in processes related to hormone metabolic pathways. Furthermore, alterations in topologically associating domains (TADs) were observed, with differential expression observed in genes that are involved in crucial biological processes. The analysis also identified a subset of genes with altered promoter-enhancer interactions (PEIs), reflecting a regulatory shift in gene expression related to reproductive processes.

Discussion

These findings provide valuable insights into 3D genome organization in granulosa cells with implications for reproductive health and the development of assisted reproductive technologies. Understanding spatial genome organization at different stages of follicular development may help realize novel strategies for enhancing success rates in assisted reproductive technologies.

Loop Extrusion Machinery Impairments in Models and Disease

Structural maintenance of chromosomes (SMC) complexes play a crucial role in organizing the three-dimensional structure of chromatin, facilitating key processes such as gene regulation, DNA repair, and chromosome segregation. This review explores the molecular mechanisms and biological significance of SMC-mediated loop extrusion complexes, including cohesin, condensins, and SMC5/6, focusing on their structure, their dynamic function during the cell cycle, and their impact on chromatin architecture. We discuss the implications of impairments in loop extrusion machinery as observed in experimental models and human diseases. Mutations affecting these complexes are linked to various developmental disorders and cancer, highlighting their importance in genome stability and transcriptional regulation. Advances in model systems and genomic techniques have provided deeper insights into the pathological roles of SMC complex dysfunction, offering potential therapeutic avenues for associated diseases.

Leveraging chromatin packing domains to target chemoevasion in vivo

Cancer cells exhibit a remarkable resilience to cytotoxic stress, often adapting through transcriptional changes linked to alterations in chromatin structure. In several types of cancer, these adaptations involve epigenetic modifications and restructuring of topologically associating domains (TADs). However, the underlying principles by which chromatin architecture facilitates such adaptability across different cancers remain poorly understood. To investigate the role of chromatin in this process, we developed a physics-based mechanistic model that connects chromatin organization to cell fate decisions, specifically survival following chemotherapy. Our model builds on the observation that chromatin forms packing domains, which influence transcriptional efficiency through macromolecular crowding. The model accurately predicts chemoevasion in vitro, suggesting that changes in packing domains affect the likelihood of survival. Consistent results across diverse cancer types indicate that the model captures fundamental principles of chromatin-mediated adaptation, independent of the specific cancer or chemotherapy mechanisms involved. Based on these insights, we hypothesized that compounds capable of modulating packing domains, termed Transcriptional Plasticity Regulators (TPRs), could prevent cellular adaptation to chemotherapy. Using live-cell chromatin imaging, we conducted a compound screen that identified several TPRs which synergistically enhanced chemotherapy-induced cell death. The most effective TPR significantly improved therapeutic outcomes in a patient-derived xenograft (PDX) model of ovarian cancer. These findings underscore the central role of chromatin in cellular adaptation to cytotoxic stress and present a novel framework for enhancing cancer therapies, with broad potential across multiple cancer types.

The chromosome folding problem and how cells solve it

Every cell must solve the problem of how to fold its genome. We describe how the folded state of chromosomes is the result of the combined activity of multiple conserved mechanisms. Homotypic affinity-driven interactions lead to spatial partitioning of active and inactive loci. Molecular motors fold chromosomes through loop extrusion. Topological features such as supercoiling and entanglements contribute to chromosome folding and its dynamics, and tethering loci to sub-nuclear structures adds additional constraints. Dramatically diverse chromosome conformations observed throughout the cell cycle and across the tree of life can be explained through differential regulation and implementation of these basic mechanisms. We propose that the first functions of chromosome folding are to mediate genome replication, compaction, and segregation and that mechanisms of folding have subsequently been co-opted for other roles, including long-range gene regulation, in different conditions, cell types, and species.

CRISPR Screening of Transcribed Super-Enhancers Identifies Drivers of Triple-Negative Breast Cancer Progression

Triple-negative breast cancer (TNBC) is the most therapeutically recalcitrant form of breast cancer, which is due in part to the paucity of targeted therapies. A systematic analysis of regulatory elements that extend beyond protein-coding genes could uncover avenues for therapeutic intervention. To this end, we analyzed the regulatory mechanisms of TNBC-specific transcriptional enhancers together with their noncoding enhancer RNA (eRNA) transcripts. The functions of the top 30 eRNA-producing super-enhancers were systematically probed using high-throughput CRISPR-interference assays coupled to RNA sequencing that enabled unbiased detection of target genes genome-wide. Generation of high-resolution Hi-C chromatin interaction maps enabled annotation of the direct target genes for each super-enhancer, which highlighted their proclivity for genes that portend worse clinical outcomes in patients with TNBC. Illustrating the utility of this dataset, deletion of an identified super-enhancer controlling the nearby PODXL gene or specific degradation of its eRNAs led to profound inhibitory effects on target gene expression, cell proliferation, and migration. Furthermore, loss of this super-enhancer suppressed tumor growth and metastasis in TNBC mouse xenograft models. Single-cell RNA sequencing and assay for transposase-accessible chromatin with high-throughput sequencing analyses demonstrated the enhanced activity of this super-enhancer within the malignant cells of TNBC tumor specimens compared with nonmalignant cell types. Collectively, this work examines several fundamental questions about how regulatory information encoded into eRNA-producing super-enhancers drives gene expression networks that underlie the biology of TNBC. Significance: Integrative analysis of eRNA-producing super-enhancers defines molecular mechanisms controlling global patterns of gene expression that regulate clinical outcomes in breast cancer, highlighting the potential of enhancers as biomarkers and therapeutic targets.

Global loss of promoter-enhancer connectivity and rebalancing of gene expression during early colorectal cancer carcinogenesis

Although three-dimensional (3D) genome architecture is crucial for gene regulation, its role in disease remains elusive. We traced the evolution and malignant transformation of colorectal cancer (CRC) by generating high-resolution chromatin conformation maps of 33 colon samples spanning different stages of early neoplastic growth in persons with familial adenomatous polyposis (FAP). Our analysis revealed a substantial progressive loss of genome-wide cis-regulatory connectivity at early malignancy stages, correlating with nonlinear gene regulation effects. Genes with high promoter-enhancer (P-E) connectivity in unaffected mucosa were not linked to elevated baseline expression but tended to be upregulated in advanced stages. Inhibiting highly connected promoters preferentially represses gene expression in CRC cells compared to normal colonic epithelial cells. Our results suggest a two-phase model whereby neoplastic transformation reduces P-E connectivity from a redundant state to a rate-limiting one for transcriptional levels, highlighting the intricate interplay between 3D genome architecture and gene regulation during early CRC progression.

4D Nucleome Consortium, Dekker J, Oksuz BA, Zhang Y, Wang Y, Minsk MK, Kuang S, Yang L, Gibcus JH, Krietenstein N, Rando OJ, Xu J, Janssens DH, Henikoff S, Kukalev A, Willemin A, Winick-Ng W, Kempfer R, Pombo A, Yu M, Kumar P, Zhang L, Belmont AS, Sasaki T, van Schaik T, Brueckner L, Peric-Hupkes D, van Steensel B, Wang P, Chai H, Kim M, Ruan Y, Zhang R, Quinodoz SA, Bhat P, Guttman M, Zhao W, Chien S, Liu Y, Venev SV, Plewczynski D, Azcarate II, Szabó D, Thieme CJ, Szczepińska T, Chiliński M, Sengupta K, Conte M, Esposito A, Abraham A, Zhang R, Wang Y, Wen X, Wu Q, Yang Y, Liu J, Boninsegna L, Yildirim A, Zhan Y, Chiariello AM, Bianco S, Lee L, Hu M, Li Y, Barnett RJ, Cook AL, Emerson DJ, Marchal C, Zhao P, Park P, Alver BH, Schroeder A, Navelkar R, Bakker C, Ronchetti W, Ehmsen S, Veit A, Gehlenborg N, Wang T, Li D, Wang X, Nicodemi M, Ren B, Zhong S, Phillips-Cremins JE, Gilbert DM, Pollard KS, Alber F, Ma J, Noble WS, Yue F. An integrated view of the structure and function of the human 4D nucleome

The dynamic three-dimensional (3D) organization of the human genome (the "4D Nucleome") is closely linked to genome function. Here, we integrate a wide variety of genomic data generated by the 4D Nucleome Project to provide a detailed view of human 3D genome organization in widely used embryonic stem cells (H1-hESCs) and immortalized fibroblasts (HFFc6). We provide extensive benchmarking of 3D genome mapping assays and integrate these diverse datasets to annotate spatial genomic features across scales. The data reveal a rich complexity of chromatin domains and their sub-nuclear positions, and over one hundred thousand structural loops and promoter-enhancer interactions. We developed 3D models of population-based and individual cell-to-cell variation in genome structure, establishing connections between chromosome folding, nuclear organization, chromatin looping, gene transcription, and DNA replication. We demonstrate the use of computational methods to predict genome folding from DNA sequence, uncovering potential effects of genetic variants on genome structure and function. Together, this comprehensive analysis contributes insights into human genome organization and enhances our understanding of connections between the regulation of genome function and 3D genome organization in general.