Biology subjects

holcman, d.

Publications and source records attributed to holcman, d..

4 recordsLinked to original sources

bioRxiv2024

Unraveling Microglial Spatial Organization in the Developing Human Brain with DeepCellMap, a Deep Learning Approach Coupled to Spatial Statistics

Mapping cellular organization in the developing brain presents significant challenges due to the multidimensional nature of the data, characterized by complex spatial patterns that are difficult to interpret without high-throughput tools. We developed DeepCellMap, a deep-learning-assisted tool that integrates multi-scale image processing with advanced spatial and clustering statistics. This pipeline was designed to map microglial organization during normal and pathological brain development but can be adapted to any cell type. Using DeepCellMap, we capture the morphological diversity of microglia, identify strong coupling between proliferative and phagocytic phenotypes, and show that distinct spatial clusters rarely overlap as human brain development progresses. Additionally, we uncover a novel association between microglia and blood vessels in fetal brains exposed to maternal SARS-CoV-2. These findings offer insights into whether various microglial phenotypes form networks in the developing brain to occupy space, and in conditions involving haemorrhages, whether microglia respond to, or influence changes in blood vessel integrity. DeepCellMap is available as open-source software and is a powerful tool for extracting spatial statistics and analyzing cellular organization in large tissue sections, accommodating various imaging modalities. This platform could open new avenues for studying brain development and related pathologies.

developmental biology↗

bioRxiv2022

Chromatin phase separated nanoregions regulated by cross-linkers and explored by single particle trajectories

Phase separated domains (PSDs) are ubiquitous in cell biology, representing nanoregions of high molecular concentration. PSDs appear at diverse cellular domains, such as neuronal synapses but also in eukaryotic cell nucleus, limiting the access of transcription factors and thus preventing gene expression. We study here the properties of PSDs and in particular how they can be generated by polymers. We show that increasing the number of cross-linkers generate a polymer condensation, preventing the access of diffusing molecules. To investigate how the PSDs restrict the motion of diffusing molecules, we estimate the mean residence and first escaping times. Finally, by computing the mean square displacement of single particle trajectories, we can reconstruct the properties of PSDs in term of a continuum range of anomalous exponents. To conclude, PSDs can result from a condensed chromatin, where the number of cross-linkers control the molecular access.

genetics↗

bioRxiv2021

Nanoscale organization and calcium influx in dendritic spines guarantee ER store refilling without depletion

Dendritic spines are critical components of the neuronal synapse as they receive and transform the synaptic input into a succession of biochemical events regulated by calcium signaling. The spine apparatus (SA), an extension of smooth endoplasmic reticulum (ER), regulates slow and fast calcium dynamics in spines. Calcium release events from SA result in a rapid depletion of calcium ion reservoir, yet the next cycle of signaling requires replenishment of SA calcium stores. How dendritic spines achieve this without triggering calcium release remains unclear. Using computational modeling, calcium and STED super-resolution imaging, we showed that the refilling of calcium-deprived SA involves store-operated calcium entry during spontaneous calcium transients in spine heads. We identified two main conditions that guarantee SA replenishment without depletion: (1) a small amplitude and slow timescale for calcium influx, and (2) a close proximity between SA and plasma membranes. Thereby, molecular nano-organization creates the conditions for a clear separation between SA replenishment and depletion. We further conclude that the nanoscale organization of SA receptors underlies the specificity of calcium dynamics patterns during the induction of long-term synaptic changes.

neuroscience↗

bioRxiv2017

Statistical methods for large ensemble of super-resolution stochastic single particle trajectories

Following recent progresses in super-resolution microscopy obtained in the last decade, massive amount of redundant single stochastic trajectories are now available for statistical analysis. Flows of trajectories of molecules or proteins are sampling the cell membrane or its interior at a very high time and space resolution. Several statistical analysis were developed to extract information contained in these data, such as the biophysical parameters of the underlying stochastic motion to reveal the cellular organization. These trajectories can further reveal hidden subcellular organization. We present here the statistical analysis of these trajectories based on the classical Langevin equation, which serves as a model of trajectories. Parametric and non-parametric estimators are constructed by discretizing the stochastic equations and they allow recovering tethering forces, diffusion tensor or membrane organization from measured trajectories, that differ from physical ones by a localization noise. Modeling, data analysis and automatic detection algorithms serve extracting novel biophysical features such as potential wells and other sub-structures, such as rings at an unprecedented spatiotem-poral resolution. It is also possible to reconstruct the surface membrane of a biological cell from the statistics of projected random trajectories.

biophysics↗