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Biology subjects

Garcia-Parajo, M.

Publications and source records attributed to Garcia-Parajo, M..

2 recordsLinked to original sources

Early steps of multi-receptor viral interactions dissected by high-density, multi-color single molecule mapping in living cells

Direct visualization of the early steps of multi-receptor viral interactions at the singlemolecule level has been largely impeded by the technical challenges associated to imaging individual multi-molecular systems at relevant spatial (nanometer) and temporal (millisecond) scales. Here, we present a four-color, high-density single-molecule spatiotemporal mapping methodology to capture real-time interactions between individual viruses and three different viral (co-)receptors on the membrane of living immune cells derived from donors. Together with quantitative tools, our approach revealed the existence of a coordinated spatiotemporal diffusion of the three different (co-)receptors prior to viral-engagement. By varying the temporal-windows of cumulated single-molecule localizations, we discovered that such a concerted diffusion impacts on the residence time of viruses on the host membrane and potential viral infectivity. Overall, our methodology opens a new door to the systematic analysis of the initial steps of viralhost interactions and paves the way to the investigation of other multi-molecular systems at the single-molecule level.

biophysics↗

Particle flow modulates growth dynamics and nanoscale-arrested growth of transcription factor condensates in living cells

Liquid-liquid phase separation (LLPS) is emerging as key physical principle for biological organization inside living cells, forming condensates that play important roles in the regulation of multiple functions. Inside living nuclei, transcription factor (TF) condensates regulate transcriptional initiation and amplify transcriptional output of expressed genes. Yet, the biophysical parameters controlling TF condensation are still poorly understood. Here we applied a battery of single molecule imaging tools, theory and simulations to investigate the physical properties of TF condensates of the Progesterone Receptor (PR) in vivo. Analysis of individual PR trajectories at different ligand concentrations showed marked signatures of a ligand-tunable and regulated LLPS process. Using a machine learning architecture, we uncovered that diffusion within condensates follows fractional Brownian motion, reflecting viscoelastic interactions between PR and chromatin within condensates. High density single molecule localization maps further revealed that condensate growth dynamics is dominated by Brownian motion coalescence (BMC) at shorter times, but deviate at longer timescales reaching a growth plateau with nanoscale condensate sizes. To understand our observations we developed an extension of the BMC model by including stochastic unbinding of particles within condensates. The model reproduced the BMC behavior together with finite condensate sizes a steady-state, fully recapitulating our experimental data. Our results are thus consistent with droplet growth dynamics being regulated by the escaping probability of TFs molecules from condensates. The interplay between condensation assembly and molecular escaping maintains an optimum physical condensate size. Such phenomena must have implications for the biophysical regulation of other TF condensates and could also operate in multiple biological scenarios.

biophysics↗