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At least 19 recordsLinked to original sources
PubMed2026

Mixing chromatin fibers with different nucleosome repeat lengths changes dynamics of chromatin phase separation.

The eukaryotic genome is organized into chromatin at multiple lengths and timescales. Liquid-liquid phase separation has recently emerged as a mechanism for the dynamic compartmentalization of chromatin. However, it remains unclear how cells can locally alter phase separation behavior to condense, decondense, and segregate specific regions of their genome. Selective interactions between chromatin fibers with different nucleosome repeat lengths (NRLs), as well as their incorporation into existing condensates composed of different NRL chromatin fibers, may provide a pathway for such processes. Using fluorescence microscopy, we investigated how these mechanisms influence the formation, coalescence, and maturation of chromatin condensates. Our results show distinct NRL-dependent mixing behaviors of chromatin before and after condensate formation. 167 and 197 NRL fibers, known to fold into compact fibers by strong nucleosome stacking interactions, formed amorphous condensates. In contrast, 172 and 202 NRL fibers, which only allow for weak stacking, formed spherical condensates. When NRLs were mixed, amorphous condensates exhibited localized clustering of identical NRLs. In spherical condensates, however, both NRLs were homogeneously distributed, with a varying NRL ratio per condensate. In addition, incorporation of 167 NRLs into preexisting 172 NRL condensates resulted in a multiphase structure where 167 NRL fibers formed an outer layer. These findings present an intrinsic link between DNA sequence, nucleosome positioning, local chromatin configuration and multiscale phase separation behavior. More broadly, they contribute to a deeper understanding of the dynamic methods of genome organization employed by eukaryotic organisms.

chromatin↗
PubMed2025

CDACHIE: chromatin domain annotation by integrating chromatin interaction and epigenomic data with contrastive learning.

MOTIVATION: Chromatin domain annotation identifies functional genomic regions, such as active and inactive zones, based on epigenomic features like histone modifications, DNA methylation, and chromatin accessibility. While recent methods have utilized both chromatin interaction data (e.g. Hi-C) and epigenomic data, they often overlook the direct relationship between these data types. RESULTS: In this study, we introduce Chromatin Domain Annotation using Contrastive Learning for Hi-C and Epigenomic Data (CDACHIE), a method for identifying chromatin domains from Hi-C and epigenomic data. Our approach leverages contrastive learning to generate aligned representative vectors for both data types at each genomic bin. The concatenated vectors are then clustered using K-means to classify distinct chromatin domain types. CDACHIE achieves superior performance in Variance Explained, evaluated across gene expression, replication timing, and ChIA-PET data. This highlights its robust ability to integrate semantic associations between Hi-C and epigenomic features within the embedding space. AVAILABILITY AND IMPLEMENTATION: The source code is available at GitHub: https://github.com/maruyama-lab-design/CDACHIE. An archival snapshot of the code used in this study is available on Zenodo: https://doi.org/10.5281/zenodo.15751780.

Chromatin↗
PubMed2025

STEMIN transcription factor drives selective chromatin remodeling for gene activation within a relaxed chromatin during reprogramming in the moss Physcomitrium patens.

Land plants exhibit remarkable cellular plasticity, readily reprogramming differentiated cells into stem cells in response to internal and external stimuli. While chromatin remodeling is crucial for cellular reprogramming, its interplay with gene expression during reprogramming into stem cells remains elusive. In the moss Physcomitrium patens, wounding induces reprogramming of leaf cells facing wounded cells to change into chloronema apical stem cells through the activation of the AP2/ERF transcription factor STEMIN. In this study, we employed multimodal single-nuclei RNA and ATAC sequencing to explore the interplay between gene expression and chromatin dynamics during STEMIN-mediated reprogramming. Profiling 20 883 single-nuclei from gametophores, protonemata, and cut leaves, we identified 11 distinct cell types including reprogramming leaf cells. Our analysis revealed that reprogramming leaf cells exhibit a partly relaxed chromatin landscape and STEMIN transcription factors selectively enhance accessibility at specific genomic loci essential for stem cell formation. Thus, our results indicate that wounding initiates a broad chromatin relaxation, creating a permissive environment and specific transcription factors act to refine this permissive state by specifically relaxing chromatin regions critical for reprogramming.

Bryopsida↗
PubMed2025

Effects of Lamina-Chromatin Attachment on Super Long-Range Chromatin Interactions.

The interactions between chromatin and lamin proteins localized on the nuclear envelope play a crucial role in the three-dimensional (3D) organization of the genome. This study investigates the influence of lamin associated domains (LADs) on genome organization at the chromosome level using 3D polymer models of mouse embryonic fibroblasts (MEFs) and embryonic stem cells (mESCs). By integrating genome-wide LAD maps from DamID assays, we simulated chromatin conformations with and without LAD attachment to the nuclear envelope. Our results show that incorporating LAD-lamin interactions yields a radial chromatin distribution consistent with experimental observations. Moreover, LAD-lamin interactions induce significant super long-range chromatin contacts across distant genomic regions. These findings suggest two distinct mechanisms driving induction of chromatin interactions by LAD-lamin attachment.

3D single cell conformations↗
PubMed2026

ChromID: A Protocol for Mapping Protein Chromatin Interactions in Living Cells.

Chromatin modifications regulate genome function by recruiting proteins that control transcription, genome organization, and DNA repair. Identifying the proteins associated with specific chromatin modifications is therefore essential for understanding how these regulatory processes operate. Traditional approaches, including chromatin immunoprecipitation and affinity purification coupled to mass spectrometry, have uncovered many chromatin-associated proteins. However, they often rely on crosslinking and chromatin fragmentation, which can disrupt native chromatin architecture and limit the detection of transient interactions. Here, we describe a proximity-labeling protocol for identifying the chromatin-dependent protein interactome associated with specific chromatin marks, termed ChromID. ChromID uses engineered chromatin readers (eCRs) fused to a promiscuous biotin ligase, which labels proteins in the immediate vicinity of the targeted chromatin mark. The protocol includes in vivo biotin labeling, nuclear extract preparation, streptavidin-based enrichment, and tryptic digestion for downstream LC-MS/MS analysis. The protocol has been validated across multiple cell types and chromatin contexts and can be extended to other chromatin-associated proteins, providing a versatile approach to profile chromatin-associated proteomes within their native cellular environment. Key features • Maps proteins associated with different chromatin modifications in living cells using engineered chromatin readers fused to TurboID, BASU, or other promiscuous biotin ligases. • Preserves native chromatin organization and captures transient chromatin-associated interactions that are often lost during conventional affinity purification workflows. • Validated across multiple chromatin contexts, including histone modifications, DNA methylation, transcription factors, RNA polymerase II, and DNA damage-associated chromatin states. • Applicable to diverse cell types and organisms and adaptable to other chromatin-associated proteins, including transcription factors and chromatin regulators.

Biotin proximity labeling↗
PubMed2025

ChIP-Rx: Arabidopsis Chromatin Profiling Using Quantitative ChIP-Seq.

Chromatin immunoprecipitation followed by deep sequencing (ChIP-seq) is widely used to probe the chromatin landscape of transcription factors, chromatin components, and associated proteins. Conventional ChIP normalization procedures robustly allow estimating differences in local enrichment across genomic regions. Yet, inter-sample comparisons can be biased by technical variability and biological differences. This is notably the case when samples display large differences in the abundance of the target protein or its enrichment at chromatin. For example, epigenome defects are improperly detected or quantified upon large-effect genetic or chemical inhibition of chromatin modifiers. To circumvent these caveats and robustly determine biological variations while minimizing technical variability, ChIP adaptations using an external reference have flourished. Here, we describe a step-by-step protocol employing a reference exogenous chromatin (ChIP-Rx) that allows absolute comparisons of epigenome variations in Arabidopsis samples displaying drastic differences in chromatin mark abundance. In contrast to the originally published ChIP-Rx approach, which assumes that exogenous spike-in references are constant across samples, the method detailed here involves the sequencing of each input sample to account for technical variability in initial reference chromatin contents. We also report a detailed computational workflow with an accompanying Github resource to help in calculating spike-in normalization factors, applying them to normalize epigenome tracks, and performing spike-in normalized inter-sample differential analyses. We propose two ways of computing the spike-in factor: a classically used method based on raw counts and a noise-corrected method using peak detection on the exogenous genome.

Arabidopsis↗
PubMed2025

The challenge of chromatin model comparison and validation: A project from the first international 4D Nucleome Hackathon.

The computational modeling of chromatin structure is highly complex due to the hierarchical organization of chromatin, which reflects its diverse biophysical principles, as well as inherent dynamism, which underlies its complexity. Chromatin structure modeling can be based on diverse approaches and assumptions, making it essential to determine how different methods influence the modeling outcomes. We conducted a project at the NIH-funded 4D Nucleome Hackathon on March 18-21, 2024, at The University of Washington in Seattle, USA. The hackathon provided an amazing opportunity to gather an international, multi-institutional and unbiased group of experts to discuss, understand and undertake the challenges of chromatin model comparison and validation. Here we give an overview of the current state of the 3D chromatin field and discuss our efforts to run and validate the models. We used distance matrices to represent chromatin models and we calculated Spearman correlation coefficients to estimate differences between models, as well as between models and experimental data. In addition, we discuss challenges in chromatin structure modeling that include: 1) different aspects of chromatin biophysics and scales complicate model comparisons, 2) large diversity of experimental data (e.g., population-based, single-cell, protein-specific) that differ in mathematical properties, heatmap smoothness, noise and resolutions complicates model validation, 3) expertise in biology, bioinformatics, and physics is necessary to conduct comprehensive research on chromatin structure, 4) bioinformatic software, which is often developed in academic settings, is characterized by insufficient support and documentation. We also emphasize the importance of establishing guidelines for software development and standardization.

Chromatin↗
PubMed2024

PRC1 and CTCF-Mediated Transition from Poised to Active Chromatin Loops Drives Bivalent Gene Activation.

Polycomb Repressive Complex 1 (PRC1) and CCCTC-binding factor (CTCF) are critical regulators of 3D chromatin architecture that influence cellular transcriptional programs. Spatial chromatin structures comprise conserved compartments, topologically associating domains (TADs), and dynamic, cell-type-specific chromatin loops. Although the role of CTCF in chromatin organization is well-known, the involvement of PRC1 is less understood. In this study, we identified an unexpected, essential role for the canonical Pcgf2-containing PRC1 complex (cPRC1.2), a known transcriptional repressor, in activating bivalent genes during differentiation. Our Hi-C analysis revealed that cPRC1.2 forms chromatin loops at bivalent promoters, rendering them silent yet poised for activation. Using mouse embryonic stem cells (ESCs) with CRISPR/Cas9-mediated gene editing, we found that the loss of Pcgf2, though not affecting the global level of H2AK119ub1, disrupts these cPRC1.2 loops in ESCs and impairs the transcriptional induction of crucial target genes necessary for neuronal differentiation. Furthermore, we identified CTCF enrichment at cPRC1.2 loop anchors and at Polycomb group (PcG) bodies, nuclear foci with concentrated PRC1 and its tethered chromatin domains, suggesting that PRC1 and CTCF cooperatively shape chromatin loop structures. Through virtual 4C and other genomic analyses, we discovered that establishing neuronal progenitor cell (NPC) identity involves a switch from cPRC1.2-mediated chromatin loops to CTCF-mediated active loops, enabling the expression of critical lineage-specific factors. This study uncovers a novel mechanism by which pre-formed PRC1 and CTCF loops at lineage-specific genes maintain a poised state for subsequent gene activation, advancing our understanding of the role of chromatin architecture in controlling cell fate transitions.

Journal Article↗
PubMed2026

Genome-wide chromatin recording resolves dynamic cell state changes.

Understanding how the chromatin state of a cell influences its future behavior is a major challenge throughout biology. However, most chromatin profiling methods are limited to endpoint assays. Here, we present LagTag, a method for recovery of earlier and endpoint chromatin states in the same mammalian cells. In this approach, transient activity of bacterial adenine methyltransferase fusions records the DNA-binding profiles of chromatin-associated proteins of interest at earlier time points. Subsequent tagmentation and sequencing recover the earlier chromatin profile from adenine methylation profiles, alongside endpoint profiles of endogenous chromatin-associated proteins. We verified that LagTag profiles aligned with those from established methods in mouse and human cells. We then applied LagTag to record and recover dynamic chromatin state transitions during mouse embryonic stem cell differentiation, capturing transcriptional signatures from pre- and post-differentiation time points within the same cell population. LagTag thus provides a foundation for temporally resolved chromatin profiling. A record of this paper's transparent peer review process is included in the supplemental information.

chromatin organization↗
PubMed2025

The molecular basis of lamin-specific chromatin interactions.

In the cell nucleus, chromatin is anchored to the nuclear lamina, a network of lamin filaments and binding proteins that underly the inner nuclear membrane. The nuclear lamina is involved in chromatin organization through the interaction of lamina-associated domains within the densely packed heterochromatin regions. Using cryo-focused ion beam milling in conjunction with cryo-electron tomography, we analyzed the distribution of nucleosomes at the lamin-chromatin interface at the nanometer scale. Depletion of lamins A and C reduced nucleosome concentration at the nuclear periphery, while B-type lamin depletion contributed to nucleosome density in proximity to the lamina but not further away. We then investigated whether specific lamins can mediate direct interactions with chromatin. Using cryo-electron microscopy, we identified a specific binding motif of the lamin A tail domain that interacts with nucleosomes, distinguishing it from the other lamin isoforms. Furthermore, we examined chromatin structure dynamics using a genome-wide analysis that revealed lamin-dependent macroscopic-scale alterations in gene expression and chromatin remodeling. Our findings provide detailed insights into the dynamic and structural interplay between lamin isoforms and chromatin, molecular interactions that shape chromatin architecture and epigenetic regulation.

Nucleosomes↗
PubMed2025

Architectural transcription factors collectively shape nuclear radial positioning of chromatin contacts.

The measurement of three-dimensional genome folding in the nucleus, mostly through Hi-C methods, is expressed as contact frequencies between genomic segments, without anchoring to physical axes of the spherical nucleus. Here, we mapped the chromatin contacts along nuclear radial axis and built radial score by factoring in contact frequencies. The chromatin high-order structures exhibit rich diversity along radial axis. Furthermore, the proximal trans contacts retrieved by radial score reveal conserved active/inactive chromatin segregation across intra- and interchromosomal interactions. Ablation of CTCF proteins disrupts chromatin loops with mild changes to chromatin radial positioning. By acutely perturbing multiple transcription factor (TF) occupancy, chromatin loop dissolutions are often accompanied by radial dissociations between two anchors. Our work provides a genome architecture reference map adhering to nuclear physical axis and suggests that multiple architectural TFs collectively shape nuclear positioning of chromatin and their contacts, with contacts serving as forces on chromatin positioning as well.

Chromatin↗
PubMed2025

BET family BRD3 initiates DSB-induced chromatin remodeling with TIP60 to promote R-loop-mediated HR.

Mechanisms for genome stability in actively transcribed regions are essential for cellular homeostasis; however, these mechanisms are poorly understood. Herein, we identify the bromodomain and extraterminal domain (BET) family BRD3 as the genome caretaker in actively transcribed chromatin. We identify the protein network between BRD3 and chromatin remodeler TIP60. During transcription, BRD3 localizes to actively transcribed chromatin through its N-terminal bromodomains. Following DNA double-strand breaks (DSBs) at the actively transcribed chromatin, the C-terminal extraterminal (ET) domain of BRD3 recruits CHD4 via its KIKL-like motifs to replace HP1 with the TIP60 (Tat-interactive protein, 60 kDa) complex, promoting H4K16 acetylation and MBTD1 recruitment, which creates chromatin barriers to 53BP1. This process recruits BRCA1 and R-loop-processing factors to promote R-loop-mediated homologous recombination (HR) and suppress 53BP1 and mutagenic non-homologous end-joining. Our study elucidates the mechanism by which BRD3 initiates DSB-induced chromatin remodeling by CHD4 and TIP60 to promote R-loop-mediated HR on actively transcribed chromatin to maintain genome stability.

Humans↗
PubMed2026

Genome-wide chromatin recording resolves dynamic cell state changes.

Understanding how the chromatin state of a cell influences its future behavior is a major challenge throughout biology. However, most chromatin profiling methods are limited to endpoint assays. Here, we present LagTag, a method for recovery of earlier and endpoint chromatin states in the same mammalian cells. In this approach, transient expression of bacterial adenine methyltransferase fusions records the DNA binding profiles of chromatin-associated proteins of interest at earlier timepoints. Subsequent tagmentation and sequencing recovers the earlier chromatin profile from adenine methylation profiles, alongside endpoint profiles of endogenous chromatin-associated proteins. We verified that LagTag profiles aligned with those from established methods in mouse and human cells. We then applied LagTag to record and recover dynamic chromatin state transitions during mouse embryonic stem cell differentiation, capturing transcriptional signatures from pre- and post-differentiation timepoints within the same cell population. LagTag thus provides a foundation for temporally resolved chromatin profiling.

Journal Article↗
PubMed2017

Rapid and reversible epigenome editing by endogenous chromatin regulators.

Understanding the causal link between epigenetic marks and gene regulation remains a central question in chromatin biology. To edit the epigenome we developed the FIRE-Cas9 system for rapid and reversible recruitment of endogenous chromatin regulators to specific genomic loci. We enhanced the dCas9-MS2 anchor for genome targeting with Fkbp/Frb dimerizing fusion proteins to allow chemical-induced proximity of a desired chromatin regulator. We find that mSWI/SNF (BAF) complex recruitment is sufficient to oppose Polycomb within minutes, leading to activation of bivalent gene transcription in mouse embryonic stem cells. Furthermore, Hp1/Suv39h1 heterochromatin complex recruitment to active promoters deposits H3K9me3 domains, resulting in gene silencing that can be reversed upon washout of the chemical dimerizer. This inducible recruitment strategy provides precise kinetic information to model epigenetic memory and plasticity. It is broadly applicable to mechanistic studies of chromatin in mammalian cells and is particularly suited to the analysis of endogenous multi-subunit chromatin regulator complexes.Understanding the link between epigenetic marks and gene regulation requires the development of new tools to directly manipulate chromatin. Here the authors demonstrate a Cas9-based system to recruit chromatin remodelers to loci of interest, allowing rapid, reversible manipulation of epigenetic states.

CRISPR-Cas Systems↗
PubMed2025

Improved cohesin HiChIP protocol and bioinformatic analysis for robust detection of chromatin loops and stripes.

Chromosome Conformation Capture (3 C) methods, including Hi-C (a high-throughput variation of 3 C), detect pairwise interactions between DNA regions, enabling the reconstruction of chromatin architecture in the nucleus. HiChIP is a modification of the Hi-C experiment that includes a chromatin immunoprecipitation (ChIP) step, allowing genome-wide identification of chromatin contacts mediated by a protein of interest. In mammalian cells, cohesin protein complex is one of the major players in the establishment of chromatin loops. We present an improved cohesin HiChIP experimental protocol. Using comprehensive bioinformatic analysis, we show that a dual chromatin fixation method compared to the standard formaldehyde-only method, results in a substantially better signal-to-noise ratio, increased ChIP efficiency and improved detection of chromatin loops and architectural stripes. Additionally, we propose an automated pipeline called nf-HiChIP ( https://github.com/SFGLab/hichip-nf-pipeline ) for processing HiChIP samples starting from raw sequencing reads data and ending with a set of significant chromatin interactions (loops), which allows efficient and timely analysis of multiple samples in parallel, without requiring additional ChIP-seq experiments. Finally, using advanced approaches for biophysical modelling and stripe calling we generate accurate loop extrusion polymer models for a region of interest and provide a detailed picture of architectural stripes, respectively.

Chromatin↗
PubMed2025

Proteins driving liquid-liquid phase separation and histone modifications cooperatively associate with chromatin looping and transcriptional regulation.

BACKGROUND: Although liquid-liquid phase separation (LLPS) proteins are known to participate in genome organization and transcriptional regulation through the formation of biomolecular condensates, their functional interplay with other regulatory proteins and histone modifications in chromatin loop formation remains poorly characterized. By combining Hi-C chromatin interaction data with ChIP-seq profiles of 12, 27, and 24 LLPS proteins in GM12878, K562, and HepG2 cell lines, respectively, we identified chromatin loops associated with LLPS proteins and systematically analysed patterns of cooperative protein binding and histone modification enrichment within these loop-associated peaks. RESULTS: We identified 162, 313, and 431 chromatin loops associated with LLPS proteins in GM12878, K562, and HepG2 cell lines, respectively. These loops were relatively small in size and predominantly anchored at enhancer regions. Examination of cooperative binding of proteins within loop-associated peaks revealed that transcriptional repressor IKZF1, HDAC1, and SAP130 most frequently co-localized with LLPS proteins in GM12878, K562, and HepG2 cells, respectively. Further analysis of histone modification enrichment patterns revealed that active histone modifications, such as H3K4me2, H3K4me3, H3K9ac, and H3K27ac, co-localized at loop-associated peaks, with H3K4me1 exhibiting additional specific co-localization with these four histone modifications at enhancer-localized loop-associated peaks. Notably, bivalent chromatin domains where H3K27me3 co-localized with active histone modifications were identified at promoter-localized loop-associated peaks in HepG2 cells, and elevated H3K27me3 occupancy at these peaks was associated with transcriptional repression of target genes. Moreover, quantitative RNA-seq analysis revealed that the expression of target genes associated with enhancer-promoter loops was correlated with both the binding of LLPS proteins and the enrichment patterns of histone modifications within their ChIP-seq peaks at loop anchors. CONCLUSIONS: Our study suggests that LLPS proteins may cooperate with transcriptional repressors to facilitate chromatin looping. Furthermore, local enrichment of histone modifications at loop-associated peaks provides additional regulatory control over chromatin architecture and gene transcription.

Humans↗
PubMed2025

Coarse-grained chromatin dynamics by tracking multiple similarly labeled gene loci.

The "holy grail" of chromatin research would be to follow the chromatin configuration in individual live cells over time. One way to achieve this goal would be to track the positions of multiple loci arranged along the chromatin polymer with fluorescent labels. Using distinguishable labels would define each locus uniquely in a microscopic image but would restrict the number of loci that could be observed simultaneously due to experimental limits to the number of distinguishable labels. Using the same label for all loci circumvents this limitation but requires a (currently lacking) framework for how to establish each observed locus identity, i.e., to which genomic position it corresponds. Here, we analyze theoretically, using simulations of Rouse model polymers, how single-particle tracking of multiple identically labeled loci enables the determination of loci identity. We show that the probability of correctly assigning observed loci to genomic positions converges exponentially to unity as the number of observed loci configurations increases. The convergence rate depends only weakly on the number of labeled loci, so that even large numbers of loci can be identified with high fidelity by tracking them across about eight independent chromatin configurations. In the case of two distinct labels that alternate along the chromatin polymer, we find that the probability of the correct assignment converges faster than for same-labeled loci, requiring observation of fewer independent chromatin configurations to establish loci identities. Finally, for a modified Rouse model polymer, which realizes a population of dynamic loops, we find that the success probability also converges to unity exponentially as the number of observed loci configurations increases, albeit slightly more slowly than for a classical Rouse model polymer. Altogether, these results establish particle tracking of multiple identically or alternately labeled loci over time as a feasible way to infer temporal dynamics of the coarse-grained configuration of the chromatin polymer in individual living cells.

Chromatin↗
PubMed2025

Chromatin Regulatory Targets for Anticancer Therapeutics.

Chromatin serves to organize and compact the genome but also functions as a signaling hub for the dynamic regulation of transcriptional programs that control cell type specification. The historical discovery that several pro-differentiation anti-cancer agents target chromatin regulatory enzymes buoyed early interest in developing drugs that modulate chromatin structure and function. Chromatin-based drug discovery has since flourished alongside major advances in discovery chemistry and target selection, producing a rich collection of chemical probes, drugs, and drug candidates targeting chromatin regulatory processes. The substantial growth and maturity of this field over the last several decades provides an opportunity to reflect on the successes and failures associated with translating chromatin regulatory targets into anti-cancer drugs. Taking a target-centric perspective, we discuss the motivation for pursuing specific chromatin regulatory proteins and review the chemistries that enabled small molecule discovery and development. In so doing, we hope to evaluate the strength of these targets, the agents that prosecute them, and the prospects for future efforts in this field.

Humans↗