Biology subjects

Faust, O.

Publications and source records attributed to Faust, O..

5 recordsLinked to original sources

bioRxiv2025

A multiplexed approach for genetic screening of human cells by electron microscopy uncovers a critical effector of mitochondrial cristae shape

Mitochondria form complex and diverse membrane-architectures essential for their multiple functions. Whereas critical proteins sculpting mitochondrial membranes have been identified, the molecular basis for many key features remains enigmatic. Exploration of membrane ultrastructure, in general, is limited by the tradeoff between resolution and throughput: electron microscopy (EM) is essential to resolve their ultrastructure but lacks scalability for systematic functional discovery. To overcome this limitation, we developed a high-resolution screening pipeline for EM of multiplexed human cell pools, hMultiCLEM (human Multiplexed Correlative Light and EM). To showcase the power of hMultiCLEM we performed a genetic screen exploring mitochondrial ultrastructure. hMultiCLEM confirmed proposed cristae modulators and uncovered additional ones illuminating the protein networks driving cristae organization. Validation of candidates highlighted an intermembrane space (IMS) protein linked to Menieres disease, which we named MISHA (Mitochondrial-IMS membrane-SHApe-impacting protein). More broadly, hMultiCLEM transforms the EM field, enabling genetic/chemical screening in basic and medical research.

cell biology↗

bioRxiv2025

The essential co-chaperone Sgt1 regulates client dwell time in the Hsp90 chaperone cycle

The Hsp90 machinery is the most complex chaperone system in the eukaryotic cell. It is characterized by numerous co-chaperones that modulate the function of Hsp90. In S. cerevisiae, most of these cofactors can be deleted without affecting viability. Of the three essential ones, only the function of Sgt1 remained enigmatic. Our in vivo and in vitro experiments define key structural elements and determine the essential function of Sgt1 in the chaperoning of client proteins. We show that yeast Sgt1 exhibits a unique binding mode to Hsp90. The simultaneous interaction of Sgt1 with Hsp90 and client proteins enhances client maturation efficiency. Specifically, Sgt1 stabilizes Hsp90-client complexes and prevents their dissociation by the co-chaperone Aha1. Together, our findings reveal a distinct regulatory mechanism of the Hsp90 function, highlighting Sgt1 as a critical modulator of chaperone cycle progression.

biochemistry↗

bioRxiv2023

A unique chaperoning mechanism in Class A JDPs recognizes and stabilizes mutant p53.

J-domain proteins (JDPs) constitute a large family of molecular chaperones that bind a broad spectrum of substrates, targeting them to Hsp70, thus determining the specificity and activating the entire chaperone functional cycle. The malfunction of JDPs is therefore inextricably linked to myriad human disorders. Here we uncover a novel mechanism by which chaperones recognize misfolded clients, present in class-A JDPs. Through a newly-identified {beta}-hairpin site, these chaperones detect changes in protein dynamics at the initial stages of misfolding, prior to exposure of hydrophobic regions or large structural rearrangements. The JDPs then sequester misfolding-prone proteins into large oligomeric assemblies, protecting them from aggregation. Through this mechanism, class-A JDPs bind destabilized p53 mutants, preventing clearance of these oncoproteins by Hsp70-mediated degradation, thus promoting cancer progression. Removal of the {beta}-hairpin abrogates this protective activity while minimally affecting other chaperoning functions. This suggests the class-A JDP {beta}-hairpin as a highly specific target for cancer therapeutics.

biochemistry↗

bioRxiv2021

Hsp40s display class-specific binding profiles, serving complementary roles in the prevention of tau amyloid formation

The microtubule-associated protein, tau, is the major subunit of neurofibrillary tangles, forming insoluble, amyloid-type aggregates associated with neurodegenerative conditions, such as Alzheimers disease. Tau aggregation, however, can be prevented in the cell by a class of proteins known as molecular chaperones, which play important roles in maintaining protein homeostasis. While numerous chaperones are known to interact with tau, though, little is known about the detailed mechanisms by which these prevent tau aggregation. Here, we describe the effects of the ATP-independent Hsp40 chaperones, DNAJA2 and DNAJB1, on tau amyloid fiber formation and compare these to the well-studied small heat shock protein HSPB1. We find that each chaperone prevents tau aggregation differently, by interacting with distinct sets of tau species along the aggregation pathway and thereby affecting their incorporation into fibers. Whereas HSPB1 only binds tau monomers, DNAJB1 and DNAJA2 recognize aggregation-prone tau conformers and even mature fibers, thus efficiently preventing formation of tau amyloids. In addition, we find that both Hsp40s bind tau seeds and fibers via their C-terminal domain II (CTDII), with DNAJA2 being further capable of recognizing tau monomers by a second, different site in CTDI. These results provide important insight into the molecular mechanism by which the different members of the Hsp40 chaperone family counteract the formation, propagation, and toxicity of tau aggregates. Furthermore, our findings highlight the fact that chaperones from different families and different classes play distinct, but complementary roles in preventing pathological protein aggregation.

biophysics↗

bioRxiv2020

Identifying regulatory and spatial genomic architectural elements using cell type independent machine and deep learning models

Chromosome conformation capture methods such as Hi-C enables mapping of genome-wide chromatin interactions and is a promising technology to understand the role of spatial chromatin organisation in gene regulation. However, the generation and analysis of these data sets at high resolutions remain technically challenging and costly. We developed a machine and deep learning approach to predict functionally important, highly interacting chromatin regions (HICR) and topologically associated domain (TAD) boundaries independent of Hi-C data in both normal physiological states and pathological conditions such as cancer. This approach utilises gradient boosted trees and convolutional neural networks trained on both Hi-C and histone modification epigenomic data from three different cell types. Given only epigenomic modification data these models are able to predict chromatin interactions and TAD boundaries with high accuracy. We demonstrate that our models are transferable across cell types, indicating that combinatorial histone mark signatures may be universal predictors for highly interacting chromatin regions and spatial chromatin architecture elements.

genomics↗