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Radler, P.

Publications and source records attributed to Radler, P..

9 recordsLinked to original sources

Emergence of histone-based chromatin complexity in Asgard archaea

The emergence of the eukaryotes coincided with the diversification of histone proteins and their post-translational modifications by enzymes that constitute the core of eukaryotic chromatin. Yet the evolutionary origins of this regulatory machinery are unknown. Here, we show that the key molecular components of histone-based chromatin regulation are present in the Asgard archaea, the closest prokaryotic relatives of eukaryotes. Asgard histones are abundant and have extended N-terminal tails rich in lysine residues that can be post-translationally modified, all of which are features shared with eukaryotic histones. In line with these findings, we identify enzymes from Asgard archaea that deposit or remove lysine acetylation on histone tails in vitro. Moreover, Asgard sirtuin deacetylases (SIR2 proteins) restore chromatin silencing in yeast, demonstrating the functional compatibility of Asgard enzymes with eukaryotic histone substrates. Our findings establish that the foundations of histone-based chromatin predate eukaryogenesis and place Asgard archaea as an evolutionary intermediate in the emergence of eukaryotic chromatin.

evolutionary biology↗

Dynamic protrusions mediate unique crawling motility in Asgard Archaea (Promethearchaeota)

Crawling motility is a hallmark of eukaryotic cells and requires a dynamic actin cytoskeleton, regulated adhesion, and spatially organized signalling pathways1-3. Asgard archaea (phylum Promethearchaeota) which are considered the closest known prokaryotic relatives of eukaryotes potentially encode these functions within their large set of eukaryotic signature proteins4-9. The few cultivated members show a complex cell morphology, consisting of a central cell body from which several protrusions extend, filled with an actin-based cytoskeleton10,11. Here, live cell microscopy of two organisms of the Loki- and Hodarchaea lineages10,12 showed that they dynamically and drastically change their cell shape on a minute time scale and grow and retract their extensive protrusions with a speed of 1.5 to 5.3 {micro}m/min, respectively. After adhering to a glass surface, cells employ their protrusions to undergo active crawling motion. In the presence of selected actin inhibitors however, the observed dynamics were arrested, suggesting a central role of actin in these processes. The observed cellular plasticity and motility are unique features among prokaryotes and might have been crucial for the emergence of the first eukaryotic cells that are thought to have formed through the association of a member of the Promethearchaeota and an alphaproteobacterium, the ancestor of mitochondria.

microbiology↗

Quantitative phase deformability cytometry (QP-DC) for precise and clinically relevant multiparametric immune cell profiling

Imaging flow cytometry enables the detailed analysis of cell morphology and internal structures through high-throughput cell imaging, and quantitative phase imaging (QPI)-based microfluidic approaches have extended this by providing label-free measures such as dry mass and refractive index (RI). Building on these developments, we present quantitative phase deformability cytometry (QP-DC), which integrates QPI with deformability cytometry to simultaneously measure morphology, mechanics, and intrinsic biophysical parameters such as mass density and dry mass. Numerical refocusing ensures in-focus images independent of axial position, improving precision in contour detection and feature extraction. Using microspheres and whole blood, we validated QP-DC and then applied it to neutrophils under lipopolysaccharide (LPS) stimulation and from patients with systemic lupus erythematosus (SLE). QP-DC revealed LPS-induced reductions in neutrophil mass density and identified heterogeneous subpopulations in SLE. These results demonstrate the capability of QP-DC for precise biophysical and mechanical characterization, offering significant potential for research and clinical diagnostics.

biophysics↗

Self-organisation of mortal filaments: the role of FtsZ treadmilling in bacterial division ring formation

Protein filaments in the cell commonly treadmill - they grow on one end while shrinking on the other, driven by energy consumption. Treadmilling filaments appear to be moving, even though individual proteins remain static. Here, we investigate the role of treadmilling, implemented as dynamic turnover, in the collective filament self-organisation. On the example of the bacterial FtsZ protein, a highly conserved tubulin homologue, we show, in computer simulations and in vitro experiments, that treadmilling drives filament nematic ordering by dissolving misaligned filaments. We demonstrate that ordering via local dissolution allows the system to quickly respond to chemical and geometrical biases in the cell, and is necessary for the formation of the FtsZ ring required for bacterial cell division in living Bacillus subtilis cells. We finally use simulations to quantitatively explain the characteristic dynamics of FtsZ ring formation in vivo. Beyond FtsZ and other cytoskeletal filaments, our study identifies a novel mechanism for nematic ordering via constant birth and death of energy-consuming filaments.

biophysics↗

Stress-induced clustering of the UPR sensor IRE1 is driven by disordered regions within its ER lumenal domain

Upon accumulation of unfolded proteins at the endoplasmic reticulum (ER), IRE1 activates the unfolded protein response (UPR) to restore protein-folding homeostasis. During ER stress, IRE1s ER lumenal domain (LD) drives its clustering on the ER membrane to initiate signaling. How IRE1s LD assembles into high-order oligomers remains largely unknown. By in vitro reconstitution experiments we show that human IRE1 LD forms dynamic biomolecular condensates. IRE1 LD condensates were stabilized when IRE1 LD was tethered to model membranes and upon binding of unfolded polypeptide ligands. Molecular dynamics simulations suggested that weak multivalent interactions are involved in IRE1 LD assemblies. Mutagenesis showed that disordered regions in IRE1 LD control its clustering in vitro and in cells. Importantly, dysregulated clustering led to defects in IRE1 signaling. Our results reveal that membranes and unfolded polypeptides act as scaffolds to assemble dynamic IRE1 condensates into stable, signaling competent clusters.

cell biology↗

Chiral and nematic phases of flexible active filaments

The emergence of large-scale order in self-organized systems relies on local interactions between individual components. During bacterial cell division, the tubulin-homolog FtsZ polymerizes into treadmilling filaments that further assemble into a cytoskeletal ring. Although minimal in vitro assays have shown the striking self-organization capacity of FtsZ filaments, such as dynamic chiral assemblies, how these large-scale structures emerge and relate to individual filament properties remains poorly understood. To understand this quantitatively, we combined minimal chiral active matter simulations with biochemical reconstitution experiments. Using STED and TIRF microscopy as well as high-speed AFM, we imaged the behavior of FtsZ filaments on different spatial scales. Simulations and experiments revealed that filament density and flexibility define the local and global order of the system: At intermediate densities, flexible filaments organize into chiral rings and polar bands, while an effectively nematic organization dominates for high filament densities and for mutant filaments with increased rigidity. Our predicted phase diagram captured these features quantitatively, demonstrating how filament flexibility, density and chirality cooperate with activity to give rise to a large repertoire of collective behaviors. These properties are likely important for the dynamic organization of soft chiral matter, including that of treadmilling FtsZ filaments during bacterial cell division.

biophysics↗

In vitro reconstitution of divisome activation

Bacterial cell division is coordinated by the Z-ring, a cytoskeletal structure of treadmilling filaments of FtsZ and their membrane anchors, FtsA and ZipA. For divisome maturation and initiation of constriction, the widely conserved actin-homolog FtsA plays a central role, as it links downstream cell division proteins in the membrane to the Z-ring in the cytoplasm. According to the current model, FtsA initiates cell constriction by switching from an inactive polymeric conformation to an active monomeric form, which then stabilizes the Z-ring and recruits downstream proteins such as FtsN. However, direct biochemical evidence for this mechanism is missing so far. Here, we used biochemical reconstitution experiments in combination with quantitative fluorescence microscopy to study the mechanism of divisome activation in vitro. By comparing the properties of wildtype FtsA and FtsA R286W, a gain-of-function mutant thought to mimic its active state, we found that active FtsA outperforms the wildtype protein in replicating FtsZ treadmilling dynamics, filament stabilization and FtsN recruitment. We could attribute these differences to a faster membrane exchange of FtsA R286W as well as its higher packing density below FtsZ filaments. Using FRET microscopy, we also show that binding of FtsN does not compete with, but promotes FtsA self-interaction. Together, our findings shed new light on the assembly and activation of the bacterial cell division machinery and the mechanism of how FtsA initiates cell constriction.

biochemistry↗

Computational analysis of filament polymerization dynamics in cytoskeletal networks

The polymerization-depolymerization dynamics of cytoskeletal proteins play essential roles in the self-organization of cytoskeletal structures, in eukaryotic as well as prokaryotic cells. While advances in fluorescence microscopy and in vitro reconstitution experiments have helped to study the dynamic properties of these complex systems, methods that allow to collect and analyze large quantitative datasets of the underlying polymer dynamics are still missing. Here, we present a novel image analysis workflow to study polymerization dynamics of active filaments in a non-biased, highly automated manner. Using treadmilling filaments of the bacterial tubulin FtsZ as an example, we demonstrate that our method is able to specifically detect, track and analyze growth and shrinkage of polymers, even in dense networks of filaments. We believe that this automated method can facilitate the analysis of a large variety of dynamic cytoskeletal systems, using standard time-lapse movies obtained from experiments in vitro as well as in the living cell. Moreover, we provide scripts implementing this method as supplementary material.

biochemistry↗

FtsZ assembles the bacterial cell division machinery by a diffusion-and-capture mechanism

The mechanism of bacterial cell division is largely unknown. The protein machinery performing cell division is organized by FtsZ, a tubulin-homolog that forms treadmilling filaments at the cell division site. Treadmilling is thought to actively move proteins around the cell thereby distributing peptidoglycan synthesis to make two new cell poles. To understand this process, we reconstituted part of the bacterial cell division machinery using the purified components FtsZ, FtsA and truncated transmembrane proteins essential for cell division. We found that membrane-bound cytosolic peptides of FtsN and FtsQ co-migrated with treadmilling FtsZ-FtsA filaments. Remarkably, rather than moving in a directed fashion, individual peptides followed FtsZ filaments by a diffusion-and-capture mechanism. Our work provides a mechanism for how the Z-ring dynamically recruits divisome proteins and highlights the importance of transient interactions for the self-organization of complex biological structures. We propose that this mechanism is used more widely to organize and transmit spatiotemporal information in living cells.\n\nOne Sentence SummaryFtsZ treadmilling assembles bacterial division machinery by diffusion-and-capture mechanism.

biochemistry↗