Biology subjects

Michaels, T.

Publications and source records attributed to Michaels, T..

7 recordsLinked to original sources

bioRxiv2026

Two functionally distinct amyloid-β intermediates link aggregation pathways to pathology in Alzheimer's disease

Neurotoxic intermediates formed during amyloid-{beta}(A{beta}) aggregation are thought to drive Alzheimer's disease, yet their rarity and transient nature have obscured their identity and formation pathways in the human brain. Here, we combine super-resolution microscopy and single-molecule functional imaging with kinetic modelling to classify A{beta} intermediates according to their membrane-disrupting activity and connect their damaging effects to the aggregation pathways that generate them. Applying this framework to recombinant A{beta}42, an Alzheimer's knock-in mouse model and human Alzheimer's brain tissue, we find two functionally distinct intermediate populations present across all systems. They form through separate aggregation routes and differ in their neurotoxicity, abundance and susceptibility to inhibition. Both damage neurons and glia, but only one converts into plaques. Suppressing these intermediates pharmacologically in mice reduces plaque burden, attenuates astrogliosis and improves cognition. Our findings connect model systems with human pathology and identify intermediate formation pathways as actionable therapeutic targets across protein-misfolding disorders.

biophysics↗

bioRxiv2026

Weak interactions drive selective proteome demixing and tune the differential response to environmental perturbations

The intracellular space is a crowded environment where macromolecules perform distinct tasks despite pervasive "non-specific" interactions. Whether these interactions are functionally relevant and how they influence cellular organization remains unclear. Here, we developed QuPID-MS, which measures the propensity of proteins to phase separate in native cell extracts proteome-wide. We find that weak interactions drive condensation of half of the proteome in a crowding- and temperature-dependent manner and we present evidence that this proteome demixing occurs in cells. Importantly, protein condensation properties are conserved and broadly change when cells adapt to new environments, demonstrating that weak interactions are regulated and linked to function. Indeed, condensation of the growth regulator TORC1 coincides with its rapid inactivation, while high solubility of the stress-activated Hog1 ensures its activity across conditions. We thus uncover a fundamental organizing principle that allows tuning of cell growth to environmental fluctuations while ensuring other processes function robustly despite perturbations.

cell biology↗

bioRxiv2025

Endogenous flow and dialytaxis govern aging of Adenosine 5'-triphosphate (ATP) condensates

Biomolecular condensates are increasingly recognized as pivotal regulators of cellular physiology, yet their pathological aging underlies numerous diseases. However, the mechanisms governing this condensate aging remain largely elusive. Liquid-liquid phase separation of minimal biomolecular building blocks, such as small peptides or nucleotides, offers ideal model systems to dissect the mechanisms underlying condensate formation and aging. Here, we report that condensates formed by Adenosine 5-triphosphate (ATP) undergo liquid-to-solid phase transitions (LSPT) in macromolecularly crowded environments, evolving from dynamic liquid droplets into urchin-like fibrillar aggregates. In the initial stages of aging, small aggregates actively engulf surrounding droplets via direct contact and rapid wetting-driven merging. As aging progresses, internal flows emerge within condensates, with velocities oriented toward the nearest aggregate core. These flows arise endogenously from ATP fibrillization through the Marangoni effect and result in a long-range chemotaxis ripening process that facilitates transport of ATP molecules from peripheral droplets to a central aggregate. The Marangoni effect also drives the long-range motion of liquid droplets on hydrophobic surfaces towards the aggregates, representing a novel form of dialytaxis. These findings provide crucial and previously unrecognized dynamic behaviors and insights into the physical principles underlying condensate aging.

biophysics↗

bioRxiv2025

Nuclear mechanostability emerges from satellite DNA condensation into chromocenters

As the largest organelle, the nucleus endures significant mechanical stresses over the cellular lifespan, and mechanostability, i.e. the ability to resist deformation, is critical for genome integrity and function. Here, we reveal that nuclear mechanostability is an emergent property arising from the clustering of satellite DNA repeats into nuclear condensates known as chromocenters. Targeted chromocenter disruption in Drosophila testes subjected to natural and artificial mechanical stress compromises nuclear mechanostability, leading to deformed nuclei, DNA damage, and chromosome breaks. Conversely, enhancing chromocenter coalescence through genetic means improves mechanostability. Molecular dynamics simulations suggest that chromocenters enable physically linked chromosomes to respond collectively, rather than individually, to mechanical challenge, and dissipate external forces over a larger nuclear surface. We propose that the satellite DNA-dependent mechanostability framework described here likely extends to other cells and tissues facing mechanical stress, and offers an explanation for the evolutionary success of these non-coding repeats across eukaryotes.

cell biology↗

bioRxiv2024

The Alzheimer's Aβ peptide forms biomolecular condensates that trigger amyloid aggregation

The onset and development of Alzheimers disease (AD) is linked to the accumulation of pathological aggregates formed from the normally monomeric amyloid-{beta} peptide within the central nervous system. These A{beta} aggregates are increasingly successfully targeted with clinical therapies, but the fundamental molecular steps that trigger the initial nucleation event leading to the conversion of monomeric A{beta} peptide into pathological aggregates remain unknown. Here we show that the A{beta} peptide can form biomolecular condensates on lipid bilayers both in molecular assays and in living cells. Our results reveal that these A{beta} condensates can significantly accelerate the primary nucleation step in the amyloid conversion cascade that leads to the formation of amyloid aggregates and plaque. We show that A{beta} condensates contain phospholipids, are intrinsically heterogenous, and are prone to undergo a liquid-to-solid transition leading to the formation amyloid fibrils. These findings uncover the liquid-liquid phase separation behaviour of the A{beta} peptide, and reveal a new molecular step very early in the amyloid-{beta} aggregation cascade that can form the basis for novel therapeutic intervention strategies. Significance statementThe hallmark of Alzheimers disease is the abnormal buildup of the normally soluble amyloid {beta} protein aggregates in the central nervous system. While the molecular mechanisms at the late stages of the amyloid {beta} aggregation cascade are well understood, the initial steps remained elusive until now. Our current study demonstrates that amyloid {beta} undergoes liquid-liquid phase separation on lipid surfaces, which triggers primary nucleation and initiates the amyloid {beta} aggregation cascade. This newly identified step in the molecular mechanism of Alzheimers disease represents a promising target for the development of alternative innovative therapeutic strategies.

biophysics↗

bioRxiv2022

Spatiotemporal properties of glutamate input support direction selectivity in the dendrites of retinal starburst amacrine cells

AO_SCPLOWBSTRACTC_SCPLOWThe asymmetric summation of kinetically distinct glutamate inputs across the dendrites of retinal "starburst" amacrine cells is proposed to underlie their direction selective properties, but experimentally verifying input kinetics has been a challenge. Here, we used two-photon glutamate sensor (iGluSnFR) imaging to directly measure the input kinetics across individual starburst dendrites. We found that signals measured from proximal dendrites were relatively sustained compared to those measured from distal dendrites. These differences were observed across a range of stimulus sizes and appeared to be shaped mainly by excitatory rather than inhibitory network interactions. Temporal deconvolution analysis suggests that the steady-state vesicle release rate was [~] 3 times larger at proximal sites compared to distal sites. Using a connectomics-inspired computational model, we demonstrate that input kinetics play an important role in shaping direction selectivity at low stimulus velocities. Together, these results provide direct support for the space-time wiring model for direction selectivity.

neuroscience↗

bioRxiv2022

Tie-lines reveal interactions driving heteromolecular condensate formation

Phase separation of biomolecules give rise to membraneless organelles that contribute to the spatiotemporal organisation of the cell. In most cases, such biomolecular condensates contain multiple components, but the manner in which interactions between components control the stability of condensates remained challenging to elucidate. Here, we develop an approach to determine tie-line gradients in ternary liquid-liquid phase separation (LLPS) systems, based on measurements of the dilute phase concentration of only one component. We show that the sign of the tie-line gradient is related to the cross-interaction energy between the polymers in the system and discriminates between competitive and cooperative phase separation. Using this approach, we studied the interaction between protein Fused in Sarcoma (FUS) and polyethylene glycol (PEG) polymer chains, and measured positive tie-line gradients. Our results show that PEG drives LLPS through an associative interaction with FUS and is not an inert crowder. We further studied the interaction between PolyA RNA (3.0{+/-}0.5kDa) and the protein G3BP1, and using the tie-line gradient as a reporter for the stoichiometry of polymers in the condensate we determined a G3BP1-to-PolyA RNA molar ratio of 1:4 in the dense phase. Our framework for measuring tie-line gradients opens up a route for the characterisation of interaction types and compositions in ternary LLPS systems.

biophysics↗