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Biology subjects

Ulferts, S.

Publications and source records attributed to Ulferts, S..

3 recordsLinked to original sources

Replication fork plasticity upon replication stress requires rapid nuclear actin polymerization

Cells rapidly respond to replication stress actively slowing fork progression and inducing fork reversal. How replication fork plasticity is achieved in the context of nuclear organization is currently unknown. Using nuclear actin probes in living and fixed cells, we visualized nuclear actin filaments in unperturbed S phase, rapidly extending in number and thickness upon genotoxic treatments, and taking frequent contact with replication factories. Chemically or genetically impairing nuclear actin polymerization shortly before these treatments prevents active fork slowing and abolishes fork reversal. Defective fork plasticity is linked to reduced recruitment of RAD51 and SMARCAL1 to nascent DNA. Conversely, PRIMPOL gains access to replicating chromatin, promoting unrestrained and discontinuous DNA synthesis, which is associated with increased chromosomal instability and decreased cellular resistance to replication stress. Hence, nuclear F-actin orchestrates replication fork plasticity and is a key molecular determinant in the rapid cellular response to genotoxic treatments.

cancer biology↗

Single cell, whole embryo phenotyping of pleiotropic disorders of mammalian development

Mouse models are a critical tool for studying human diseases, particularly developmental disorders, as well as for advancing our general understanding of mammalian biology. However, it has long been suspected that conventional approaches for phenotyping are insufficiently sensitive to detect subtle defects throughout the developing mouse. Here we set out to establish single cell RNA sequencing (sc-RNA-seq) of the whole embryo as a scalable platform for the systematic molecular and cellular phenotyping of mouse genetic models. We applied combinatorial indexing-based sc-RNA-seq to profile 101 embryos of 26 genotypes at embryonic stage E13.5, altogether profiling gene expression in over 1.6M nuclei. The 26 genotypes include 22 mouse mutants representing a range of anticipated severities, from established multisystem disorders to deletions of individual enhancers, as well as the 4 wildtype backgrounds on which these mutants reside. We developed and applied several analytical frameworks for detecting differences in composition and/or gene expression across 52 cell types or trajectories. Some mutants exhibited changes in dozens of trajectories (e.g., the pleiotropic consequences of altering the Sox9 regulatory landscape) whereas others showed phenotypes affecting specific subsets of cells. We also identify differences between widely used wildtype strains, compare phenotyping of gain vs. loss of function mutants, and characterise deletions of topological associating domain (TAD) boundaries. Intriguingly, even among these 22 mutants, some changes are shared by heretofore unrelated models, suggesting that developmental pleiotropy might be "decomposable" through further scaling of this approach. Overall, our findings show how single cell profiling of whole embryos can enable the systematic molecular and cellular phenotypic characterization of mouse mutants with unprecedented breadth and resolution.

genomics↗

Quantitative real-time in-cell imaging reveals heterogeneous clusters of proteins prior to condensation

The formation of biomolecular condensates underpins many cellular processes; however, our current understanding of condensate formation within cells is largely based on observing the final near-equilibrium condensate state. It is less clear how proteins behave before condensates form or at concentrations at which condensation does not occur in cells. Here, we use a combination of fluorescence microscopy and photobleaching analysis to quantify phase separation of negative elongation factor (NELF) in living and stressed cells. We use the recently reported system of stress-induced condensation of NELF in human nuclei as a model to study the behaviour of proteins before condensation. We find that pre-condensate heterogeneous clusters both grow and shrink and are not freely diffusing. Unexpectedly, we also find such small dynamic clusters in unstressed cells in which condensates do not form. We provide a categorisation of small and large clusters based on their dynamics and their response to p38 kinase inhibition. Overall, our data are best explained as non-classical nucleation with a flat free-energy landscape for clusters of a range of sizes and an inhibition of condensation.

biophysics↗