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Michaels, T.

Publications and source records attributed to Michaels, T..

3 recordsLinked to original sources

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↗

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↗

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↗