Biology subjects

Messina, O.

Publications and source records attributed to Messina, O..

5 recordsLinked to original sources

bioRxiv2024

Chromatin folding motifs define the basic grammar of TAD architecture in single alleles

Chromatin folding exhibits extensive cell-to-cell variability, yet whether this variability is dominated by continuously varying conformations or by recurrent organizational patterns remains unclear. Here, we combined high-resolution chromatin tracing with a novel machine learning algorithm to show that chromatin organization can be compactly represented by a limited repertoire of recurrent folding motifs. Using polymer simulations and cohesin depletion experiments, we further show that these motifs arise primarily from loop extrusion. Analysis of distinct tissues reveals that a shared motif repertoire is sufficient to describe diverse structural ensembles, with biological differences arising primarily through changes in motif occupancy and combinatorial usage. More generally, rather than generating entirely new conformations, transcriptional and disease-associated changes, including those occurring during disease onset, act primarily by redistributing motif occupancy within this common repertoire. In particular, gene activation is associated with a shift toward decompacted states and reduced contact frequencies, revealing a quantitative link between transcription and chromatin organization at the single-allele level. Together, these findings reveal that single-allele chromatin variability is structured by a constrained repertoire of recurrent folding motifs whose usage is modulated by regulatory context, providing a new framework to interpret how chromatin organization relates to gene activity.

genomics↗

bioRxiv2023

pyHiM, a new open-source, multi-platform software package for spatial genomics based on multiplexed DNA-FISH imaging

The three-dimensional (3D) nuclear organization of chromatin in eukaryotes plays a crucial role in gene regulation, DNA replication, and DNA damage repair. While genome-wide ensemble methods have enhanced our understanding of chromatin organization, they lack the ability to capture single-cell heterogeneity and preserve spatial information. To overcome these limitations, a new family of imaging-based methods has emerged, giving rise to the field of spatial genomics. In this study, we present pyHiM, an open-source and modular software toolbox specifically designed for the robust, automatic analysis of sequential spatial genomics data. pyHiM enables the reconstruction of chromatin traces in individual cells from raw, multicolor images, offering novel, robust and validated algorithms, extensive documentation, and tutorials. Its user-friendly graphical interface and command-line interface allow for easy installation and execution on various hardware platforms. The software employs a modular architecture, allowing independent execution of analysis steps and customization according to sample specificity and computing resources. pyHiM supports preprocessing, spot detection, mask detection, and trace generation, generating human-readable reports and intermediate results for data validation and further analysis. Moreover, it offers additional features for data formatting, result display, and post-processing. pyHiMs scalability and parallelization capabilities enable the analysis of large, complex datasets in a reasonable time frame. Overall, pyHiM aims to facilitate the democratization and standardization of spatial genomics analysis, foster collaborative developments, and promote the growth of a user community to drive discoveries in the field of chromatin organization.

genomics↗

bioRxiv2022

3D chromatin interactions involving Drosophila insulators are infrequent but preferential and arise before TADs and transcription

In mammals, insulators contribute to the regulation of loop extrusion to organize chromatin into topologically associating domains. In Drosophila the role of insulators in 3D genome organization is, however, under current debate. Here, we addressed this question by combining bioinformatics analysis and multiplexed chromatin imaging. We describe a class of Drosophila insulators enriched at regions forming preferential chromatin interactions genome-wide. Notably, most of these 3D interactions do not involve TAD borders. Multiplexed imaging shows that these interactions occur infrequently, and only rarely involve multiple genomic regions coalescing together in space in single cells. Finally, we show that non-border preferential 3D interactions enriched in this class of insulators arise before TADs and transcription during Drosophila development. Our results are inconsistent with insulators forming stable hubs in single cells, and instead suggest that they fine-tune existing 3D chromatin interactions, providing an additional regulatory layer for transcriptional regulation.

genomics↗

bioRxiv2022

Multiple parameters shape the 3D chromatin structure of single nuclei

The spatial organization of chromatin at the scale of topologically associating domains (TADs) and below displays large cell-to-cell variations. Up until now, how this heterogeneity in chromatin conformation is shaped by chromatin condensation, TAD insulation, and transcription has remained mostly elusive. Here, we used Hi-M, a multiplexed DNA-FISH imaging technique providing developmental timing and transcriptional status, to show that the emergence of TADs at the ensemble level partially segregates the conformational space explored by single nuclei during the early development of Drosophila embryos. Surprisingly, a substantial fraction of nuclei displayed strong insulation even before TADs emerged. Moreover, active transcription within a TAD led to minor changes to the local inter- and intra-TAD chromatin conformation in single nuclei and only weakly affected insulation to the neighboring TAD. Overall, our results indicate that multiple parameters contribute to shaping the chromatin architecture of single nuclei at the TAD scale.

biophysics↗

bioRxiv2018

Microscopy-based chromosome conformation capture enables simultaneous visualization of genome organization and transcription in intact organisms

Eukaryotic chromosomes are organized in multiple scales, from nucleosomes to chromosome territories. Recently, genome-wide methods identified an intermediate level of chromosome organization, topologically associating domains (TADs), that play key roles in transcriptional regulation. However, these methods cannot directly examine the interplay between transcriptional activation and chromosome organization while maintaining spatiotemporal information. Here, we present a multiplexed, sequential imaging approach (Hi-M) that permits the simultaneous detection of chromosome organization and transcription in single nuclei. We used Hi-M to study chromosome organization during the awakening of the zygotic genome in intact Drosophila embryos. By visualizing chromosome architecture and gene expression simultaneously in single nuclei, we were able to unveil the changes in 3D chromatin organization occurring upon transcriptional activation and homologous chromosome un-pairing. Excitingly, the ability of Hi-M to explore the multi-scale chromosome architecture in time and space will be key to understand the mechanisms and consequences of the 4D organization of the genome.

cell biology↗