Biology subjects

Shinkai, S.

Publications and source records attributed to Shinkai, S..

8 recordsLinked to original sources

bioRxiv2024

Spatial organization of supercoil dynamics during DNA replication

Progression of DNA replication inevitably generates helical tension and resulting super-helical structures, or supercoils, that originate from the double helix of DNA. As DNA polymerases progress, negative supercoils accumulate in the wake of the replication fork, thereby impeding fork progression unless the supercoils are resolved topologically. Using super-resolution microscopy combined with spatial distribution analysis, here we describe that SMC5/6-mediated confinement of negative supercoils lies at the basis of releasing them by topoisomerase Top2A. Along with DNA replication, SMC5/6 progressively associates with chromatin and locally increases the density of supercoil clusters behind the fork, allowing Top2A to efficiently target and release the accumulated supercoils. These processes are essential to complete DNA replication prior to mitosis and therefore to ensure genome stability. Remarkably, we found that HeLa cells over-accumulate poorly confined negative supercoils beyond the processing capacity of cellular SMC5/6, which may exemplify the condition associated with genome instability of cancer cells.

cell biology↗

bioRxiv2023

Transcription-coupled changes in higher-order genomic structure and transcription hub viscosity prolong enhancer-promoter connectivity

The orchestration of our genes heavily relies on a coordinated communication between enhancers and promoters, yet how this dynamic interplay remains elusive while transcription is active. Here, we investigated enhancer-promoter (E-P) interactions and relative to transcriptional bursting in mouse embryonic stem cells using sequential DNA/RNA/immunofluorescence (IF)-FISH analyses and computational simulations. Our data reveal that the active state of specific genes is characterized by higher-order genomic structures and local condensates of transcriptional regulatory factors, leading to an elevation in local viscosity that highly stabilizes the duration of E-P interactions. Our study underscores the pivotal role of viscosity in transcriptional dynamics and paves the way for a more nuanced understanding of gene-specific regulatory mechanisms.

molecular biology↗

bioRxiv2022

The centromere/kinetochore is assembled through CENP-C oligomerization

The kinetochore is an essential protein complex for accurate chromosome segregation. The constitutive centromere-associated network (CCAN), a subcomplex of the kinetochore, associates with centromeric chromatin providing a platform for the kinetochore assembly. A CCAN protein, CENP-C, is thought to be a central hub for the centromere/kinetochore organization. However, the crucial role of CENP-C in centromeres remains to be elucidated. Here, we demonstrated that both the CCAN-binding domain and C-terminal Cupin domain of CENP-C are necessary and sufficient for chicken CENP-C function. Our structural and biochemical analyses revealed that the Cupin domain of chicken and human CENP-C is self-oligomerization domain, which is crucial for centromeric chromatin organization. CENP-C mutants lacking the oligomerization interface cause mislocalization of CCAN and cell death. Based on these results, we conclude that the CENP-C oligomerization plays a crucial role in centromere function via providing the robust centromeric chromatin in vertebrate cells.

cell biology↗

bioRxiv2022

Single-molecule tracking of Nanog and Oct4 in mouse embryonic stem cells

Nanog and Oct4 are core transcription factors in a gene regulatory network that regulate hundreds of target genes for pluripotency maintenance in mouse embryonic stem cells. To understand their function as a gatekeeper or a pioneer factor at the molecular scale, we quantified the residence time on target loci, fluctuation at the loci, and interaction clustering by visualizing single molecules of Nanog and Oct4 in a living nucleus during the pluripotency loss. Interestingly, Nanog interacted longer with its target loci in the lower Nanog expression state or at the onset of differentiation, indicating the possibility of a new feedback mechanism to maintain Nanog expression. The interaction time of Nanog and Oct4 corresponded to their fluctuation and interaction clustering, which depended on their expression or differentiation state, respectively. The DNA viscoelasticity near the Oct4 target locus remained flexible during the differentiation, reflecting its role as a pioneer factor. Based on these results, we propose a new feedback mechanism for pluripotency maintenance in which Nanog function is prolonged, corresponding to chromatin condensation, and Oct4 reopens the condensation.

biophysics↗

bioRxiv2022

PHi-C2: interpreting Hi-C data as the dynamic 3D genome state

Hi-C is a widely used assay for studying three-dimensional (3D) genome organization across the whole genome. Here, we present PHi-C2, a Python package supported by mathematical and biophysical polymer modeling, that converts an input Hi-C matrix data into the polymer models dynamics, structural conformations, and rheological features. The updated optimization algorithm to regenerate a highly similar Hi-C matrix provides a fast and accurate optimal solution compared to the previous version by eliminating a computational bottleneck in the iterative optimization process. Besides, we newly set up the availability on Google Colab workflow to run, easily change parameters and check the results in the notebook. Overall, PHi-C2 can be a valuable tool to mine the dynamic 3D genome state embedded in Hi-C data. Availability and ImplementationPHi-C2 as the phic Python package is freely available under the GPL license and can be installed from the Python package index. The source code is available from GitHub at https://github.com/soyashinkai/PHi-C2. Without preparing a Python environment, PHi-C2 can run on Google Colab (https://bit.ly/3rlptGI). Contactsoya.shinkai@riken.jp or sonami@riken.jp

bioinformatics↗

bioRxiv2019

Microrheology for Hi-C Data Reveals the Spectrum of the Dynamic 3D Genome Organization

The 1-dimensional information of genomic DNA is hierarchically packed inside the eukaryotic cell nucleus and organized in 3-dimensional (3D) space. Genome-wide chromosome conformation capture (Hi-C) methods have uncovered the 3D genome organization and revealed multiscale chromatin domains of compartments and topologically associating domains (TADs). Moreover, single-nucleosome live-cell imaging experiments have revealed the dynamic organization of chromatin domains caused by stochastic thermal fluctuations. However, the mechanism underlying the dynamic regulation of such hierarchical and structural chromatin units within the micro-scale thermal medium remains unclear. Microrheology is a way to measure dynamic viscoelastic properties coupling between thermal microenvironment and mechanical response. Here, we propose, to our knowledge, a new microrheology for Hi-C data to analyze the compliance property as a barometer of rigidness and flexibility of genomic regions along with the time evolution. Our method allows conversion of a Hi-C matrix into the spectrum of the rheological property along the genomic coordinate of a single chromosome. To demonstrate the technique, we analyzed Hi-C data during the neural differentiation of mouse embryonic stem cells. We found that TAD boundaries behave as more rigid nodes than the intra-TAD region. The spectrum clearly shows the rheological property of the dynamic chromatin domain formations at an individual time scale. Furthermore, we characterized the appearance of synchronous and liquid-like inter-compartment interactions in differentiated cells. Together, our microrheology provides physical insights revealing the dynamic 3D genome organization from Hi-C data.\n\nSIGNIFICANCEGenomic DNA is hierarchically packed inside the eukaryotic cell nucleus, and the genome organization in 3D contributes to proper genome functions at the multiscale chromatin domains. Although thermal fluctuations inevitably drive movements of the genome molecules in the micro-scale cell environment, there is no method, as yet, to quantify such dynamic 3D genome organization of hierarchical and structural chromatin units. Here, we describe a method to calculate rheological properties as barometers of flexibility and liquid-like behavior of genomic regions. We show that biologically relevant boundaries between chromatin domains are more rigid than the inside at a particular time scale. Our method allows interpretation of static and population-averaged genome conformation data as dynamic and hierarchical 3D genome picture.

biophysics↗

bioRxiv2019

PHi-C: deciphering Hi-C data into polymer dynamics

Computational modelling methods for Hi-C data have revealed averaged and static features of the 3D genome in cell nuclei. Here, we describe a 4D simulation method, PHi-C (Polymer dynamics deciphered from Hi-C data), that depicts dynamic 3D genome features through polymer modelling. This method allows for demonstrations of dynamic characteristics of genomic loci and chromosomes, as observed in live-cell imaging experiments, and provides physical insights into Hi-C data.

bioinformatics↗

bioRxiv2017

Bridging the dynamics and organization of chromatin domains by mathematical modeling

The genome is three-dimensionally organized in the cell, and the mammalian genome DNA is partitioned into submegabase-sized chromatin domains. Genome functions are regulated within and across the domains according to their organization, whereas the chromatin itself is highly dynamic. However, the details of such dynamic organization of chromatin domains in living cells remain unclear. To unify chromatin dynamics and organization, we recently demonstrated that structural information of chromatin domains in living human cells can be extracted from analyses of the subdiffusive nucleosome movement using mathematical modeling. Our mathematical analysis suggested that as the chromatin domain becomes smaller and more compact, nucleosome movement becomes increasingly restricted. Here, we show the implication of these results for bridging the gap between chromatin dynamics and organization, and provide physical insight into chromatin domains as efficient units to conduct genome functions in the thermal noisy environment of the cell.\n\nExtra View toShinkai S, Nozaki T, Maeshima K, Togashi Y. Dynamic Nucleosome Movement Provides Structural Information of Topological Chromatin Domains in Living Human Cells. PLoS Comput Biol. 2016;12(10):e1005136. doi: 10.1371/journal.pcbi.1005136. PubMed PMID: 27764097; PubMed Central PMCID: PMCPMC5072619.\n\nFundingThis work was supported by Platform Project for Supporting in Drug Discovery and Life Science Research (Platform for Dynamic Approaches to Living System) from MEXT and AMED; KAKENHI under Grant JP16H01408, JP23115007, JP23115005, JP16H04746; CREST grant (JPMJCR15G2) from JST; and Research Fellowship for Young Scientists under Grant JP13J04821, JP16J07205.\n\nDisclosureNo potential conflicts of interest were disclosed.\n\nAcknowledgementsWe would like to thank Dr. Takashi Toda for comments regarding the manuscript.

biophysics↗