Biology subjects

Eltsov, M.

Publications and source records attributed to Eltsov, M..

5 recordsLinked to original sources

bioRxiv2025

Optimization of adhesion for high throughput cryo-electron tomography of vitreous sections

Cellular cryo electron tomography explores tissue and cells in their unstained flash-frozen native state, revealing in situ the structure of macromolecules together with their local environment and interactions with partners, also known as molecular sociology. To obtain thin samples, cryo-FIB milling is nowadays the most popular method, with impressive successes. The alternative, cryo-ultramicrotomy, is often overlooked on account of poorly reproducible attachment of cryo-sections to their support, resulting in extremely low throughput. We optimized the workflow, focusing on section adhesion and their support grids. We thus increased vitreous sections cryo electron tomography throughput to equal that of thin film, with typically several tens to hundreds of cryo-tomograms per sample. This open the way to new advances in cellular cryo electron tomography, as the method is devoid of beam damage, can provide large surfaces and serial sections of any type of sample from cells to tissues. In addition, section thickness can be tuned down to 30-50 nm, which may be an advantage for imaging small molecular complexes, such as DNA and nucleosomes.

biophysics↗

bioRxiv2025

Organisation of axial regions of isolated mitotic chromosomes visualised by cryo correlative light and electron tomography

The formation of mitotic chromosomes is essential for the accurate segregation of genetic material during cell division. Increasing evidence suggests that chromosome formation involves the reorganization of DNA into loops anchored within chromosomal axial regions, whose structural organization remains insufficiently characterized. Taking advantage of DT40 cells, an avian cell model characterized by the presence of a range of chromosome sizes from 3.2-197 Mb, we have established a preparation of entire close-to-native native mitotic chromosomes for cryogenic correlative light and electron microscopy (cryo-CLEM). The size of the smallest chromosomes allows imaging of their axial regions without further thinning. Cryo-electron tomography of the chromosome axial regions reveals the presence of heterogeneous non-histone macromolecular densities (NHMDs), approximately 30-45 nm in size, interspersed within chromatin/DNA regions. We propose that NHMDs may contain condensins and contribute to chromosome architecture. In addition to NHMDs, we identified dense clusters of particles, similar in size, near the chromosome surface, likely associated with ribosomal components. To quantitatively differentiate NHMDs from these surface clusters, we developed an analytical approach based on particle interspacing and spatial distribution within the chromosome volume. By establishing a cryo-CLEM workflow for whole, near-native mitotic chromosomes, our study provides a foundation for investigating their ultrastructural architecture.

cell biology↗

bioRxiv2024

Template Learning: Deep Learning with Domain Randomization for Particle Picking in Cryo-Electron Tomography

Cryo-electron tomography (cryo-ET) enables the three-dimensional visualization of biomolecules and cellular components in their near-native state. Particle picking, a crucial step in cryo-ET data analysis, is traditionally performed by template matching--a method utilizing cross-correlations with available biomolecular templates. Despite the effectiveness of recent deep learning-based particle picking approaches, their dependence on initial data annotation datasets for supervised training remains a significant limitation. Here, we propose a technique that combines the accuracy of deep learning particle identification with the convenience of the model training on biomolecular templates enabled through a tailored domain randomization approach. Our technique, named Template Learning, automates the simulation of training datasets, incorporating considerations for molecular crowding, structural variabilities, and data acquisition variations. This reduces or even eliminates the dependence of supervised deep learning on annotated experimental datasets. We demonstrate that models trained on simulated datasets, optionally fine-tuned on experimental datasets, outperform those exclusively trained on experimental datasets. Also, we illustrate that Template Learning used as an alternative to template matching, can offer higher precision and better orientational isotropy, especially for picking small non-spherical particles. Template Learning software is open-source, Python-based, and GPU and CPU parallelized.

molecular biology↗

bioRxiv2022

Cryo-electron tomography and deep learning-based denoising reveal native chromatin landscapes of interphase nuclei

The chromatin machinery, with DNA-histone assembly and further folding of nucleosome chains, influences DNA availability for functional interactions necessary to the regulation of transcription, DNA replication and repair. Despite models based on in vitro studies, the nucleosome chain geometry within the crowded cell nucleus remains elusive. Using cryo-electron tomography of thin vitreous sections, we directly observed the path of nucleosomal and linker DNA in situ in intact flash-frozen organism - Drosophila embryo. We quantified linker length and curvature characterizing an irregular zig-zag chromatin folding motif, with a low degree of linker bending. Additionally, nucleosome conformational variability with non-canonical structures and non-octameric particles were observed as individual objects, without structure averaging, highlighting the high structural heterogeneity of native chromatin.

cell biology↗

bioRxiv2018

Nucleosome conformational variability in solution and in interphase nuclei evidenced by cryo-electron miocroscopy of vitreous sections

In Eukaryotes, DNA is wound around the histone core octamer to form the basic chromatin unit, the nucleosome. Atomic resolution structures have been obtained from crystallography and single particle cryo-electron microscopy of identical engineered particles. But native nucleosomes are dynamical entities with diverse DNA sequence and histone content, and little is known about their conformational variability, especially in the cellular context. Using cryo-electron microscopy and tomography of vitreous sections we analyse the conformation of native nucleosomes, both in vitro, using purified particles solubilised at physiologically relevant concentrations (25-50 %), and in situ, within interphase nuclei. We visualise individual nucleosomes at a level of detail that allows us to analyse the conformation of the DNA wrapped around, and measure the distance between the DNA gyres. We evidence a variety of conformations. In interphase nuclei open nucleosomes predominate, with an average inter-gyre distance larger than that of the canonical particle. In concentrated solutions, we evidence a salt-dependant transition, with high salt compact conformations resembling the canonical nucleosome, and open low salt ones, closer to nuclear nucleosomes. Although further particle characterisation and cartography are needed to understand the relationship between this conformational variability and chromatin functional states, this work opens a route to chromatin exploration in situ.

biophysics↗