Biology subjects

Bouvette, J.

Publications and source records attributed to Bouvette, J..

5 recordsLinked to original sources

bioRxiv2026

A bifunctional coiled-coil protein generates the membrane-within-condensate architecture of the CO2-fixing pyrenoid

How membranes are integrated into biomolecular condensates is a fundamental question in cell biology. In the algal pyrenoid, an organelle responsible for one-third of global carbon fixation, CO2-delivering thylakoid membranes must penetrate a phase-separated condensate of the CO2-fixing enzyme Rubisco, but the mechanism governing membrane recruitment into the condensate remains unknown. Here, we demonstrate that the Chlamydomonas reinhardtii protein MITH1 acts as a molecular anchor that brings membrane into the pyrenoid condensate. MITH1 dimerizes into an extended coiled coil with an N-terminal amphipathic helix that binds thylakoid membrane. The coiled coil contains multiple novel binding sites for the Rubisco large subunit, allowing the condensate to wet onto the membrane. The coiled coil extends away from the membrane and promotes membrane organization within the condensate. These findings solve a longstanding mechanistic question in pyrenoid biogenesis and reveal general principles for how membranes are integrated into biological condensates.

molecular biology↗

bioRxiv2022

Structural and functional landscape of α-synuclein fibril conformations amplified from cerebrospinal fluid

Lewy body dementias are pathologically defined by the deposition of -synuclein fibrils into inclusions throughout the brain. Cerebrospinal fluid(CSF) in disease harbors circulating -synuclein-fibril seeds, and parental -synuclein fibrils can template core structure into amplified fibrils. Using cryo-electron microscopy, we identify six novel -synuclein fibril assemblies amplified from ten CSF samples (3.8[A] to 2.9[A] nominal resolutions). Fibrils are classified based on two types of filament interaction, two types of {beta}-sheet stacking, and two types of hydrophobic pocket. CSF-amplified fibril products have one, two, or three distinct assemblies each. Six of ten samples share a common fibril assembly. Within this classification, the fibrils have distinct profiles in amyloid dye binding, and dramatically different potencies in both seeding new inclusions in neurons and evoked microglial pro-inflammatory responses. However, no single structural feature predicts functional phenotypes. Our results highlight CSF as a valuable resource to identify novel -synuclein assemblies potentially important in disease.

neuroscience↗

bioRxiv2022

Automated systematic evaluation of cryo-EM specimens with SmartScope

Propelled by improvements in hardware for data collection and processing, single particle cryo-electron microscopy has rapidly gained relevance in structural biology. Yet, finding the conditions to stabilize a macromolecular target for imaging remains the most critical barrier to determining its structure. Attaining the optimal specimen requires the evaluation of multiple grids in a microscope as conditions are varied. While automation has significantly increased the speed of data collection, optimization is still carried out manually. This laborious process which is highly dependent on subjective assessments, inefficient and prone to error, often determines the success of a project. Here, we present SmartScope, the first framework to streamline, standardize, and automate specimen evaluation in cryo-electron microscopy. SmartScope employs deep-learning-based object detection to identify and classify features suitable for imaging, allowing it to perform thorough specimen screening in a fully automated manner. A web interface provides remote control over the automated operation of the microscope in real time and access to images and annotation tools. Manual annotations can be used to re-train the feature recognition models, leading to improvements in performance. Our automated tool for systematic evaluation of specimens streamlines structure determination and lowers the barrier of adoption for cryo-electron microscopy.

biophysics↗

bioRxiv2021

Redox sensitive E2 Rad6 controls cellular response to oxidative stress via K63 ubiquitination of ribosomes.

Protein ubiquitination is an essential process that rapidly regulates protein synthesis, function, and fate in dynamic environments. Among its non-proteolytic functions, K63 ubiquitin accumulates in yeast cells exposed to oxidative stress, stalling ribosomes at elongation. K63 ubiquitin conjugates accumulate because of redox inhibition of the deubiquitinating enzyme Ubp2, however, the role and regulation of ubiquitin conjugating enzymes in this pathway remained unclear. Here we found that the E2 Rad6 binds and modifies elongating ribosomes during oxidative stress. We elucidated a mechanism by which Rad6 and its human homolog UBE2A are redox-regulated by forming reversible disulfides with the E1 activating enzyme, Uba1. We further showed that Rad6 activity is necessary to regulate translation, antioxidant defense, and adaptation to stress. Finally, we showed that Rad6 is required to induce phosphorylation of the translation initiation factor eIF2, providing a novel link for K63 ubiquitin, elongation stalling, and the integrated stress response.

cell biology↗

bioRxiv2020

Beam image-shift accelerated data acquisition for near-atomic resolution single-particle cryo-electron tomography

Tomographic reconstruction of cryopreserved specimens imaged in an electron microscope followed by extraction and averaging of sub-volumes has been successfully used to derive atomic models of macromolecules in their biological environment. Eliminating biochemical isolation steps required by other techniques, this method opens up the cell to in-situ structural studies. However, the need to compensate for errors in targeting introduced during mechanical navigation of the specimen significantly slows down tomographic data collection thus limiting its practical value. Here, we introduce protocols for tilt-series acquisition and processing that accelerate data collection speed by an order of magnitude and significantly improve map resolution compared to existing approaches. We achieve this by using beam-image shift to multiply the number of areas imaged at each stage position, by integrating geometrical constraints during imaging to achieve high precision targeting, and by performing per-tilt astigmatic CTF estimation and data-driven exposure weighting to improve final map resolution. We validated our beam image-shift electron cryo-tomography (BISECT) approach by determining the structure of a low molecular weight target (~300kDa) at 3.6 [A] resolution where density for individual side chains is clearly resolved.

biochemistry↗