Biology subjects

Lukacs, G.

Publications and source records attributed to Lukacs, G..

5 recordsLinked to original sources

bioRxiv2021

Ubr1-induced selective endo-phagy/autophagy protects against the endosomal and Ca2+-induced proteostasis disease stress

The defence mechanisms against endo-lysosomal homeostasis stress remain incompletely understood. Here, we identify Ubr1 as a protein quality control (QC) ubiquitin ligase that counteracts proteostasis stress by enhancing cargo selective autophagy for lysosomal degradation. Astrocyte regulatory cluster membrane protein MLC1 mutations increased intracellular Ca2+ and caused endosomal compartment stress by fusion and enlargement. Endosomal protein QC pathway using ubiquitin QC ligases CHIP and Ubr1 with ESCRT-machinery was able to target only a fraction of MLC1-mutants for lysosomal degradation. As a consequence of the endosomal stress, we found an alternative QC route dependent on Ubr1, SQSTM1/p62 and arginylation to bypass MLC1-mutants to endosomal autophagy (endo-phagy). Significantly, this unfolded a general biological endo-lysosomal QC pathway for arginylated Ubr1-SQSTM1/p62 autophagy targets during Ca2+-assault. Conversely, the loss of Ubr1 with the absence of arginylation elicited endosomal compartment stress. These findings underscore the critical housekeeping role of Ubr1-dependent endo-phagy/autophagy in constitutive and provoked endo-lysosomal proteostasis stress, and link Ubr1 to Ca2+-homeostasis and proteins implicated in various diseases including cancers and brain disorders.

biochemistry↗

bioRxiv2021

AlphaFold2 transmembrane protein structure prediction shines

Transmembrane (TM) proteins are major drug targets, indicated by the high percentage of prescription drugs acting on them. For a rational drug design and an understanding of mutational effects on protein function, structural data at atomic resolution are required. However, hydrophobic TM proteins often resist experimental structure determination and in spite of the increasing number of cryo-EM structures, the available TM folds are still limited in the Protein Data Bank. Recently, the DeepMinds AlphaFold2 machine learning method greatly expanded the structural coverage of sequences, with high accuracy. Since the employed algorithm did not take specific properties of TM proteins into account, the validity of the generated TM structures should be assessed. Therefore, we investigated the quality of structures at genome scales, at the level of ABC protein superfamily folds, and also in specific individual cases. We tested template-free structure prediction also with a new TM fold, dimer modeling, and stability in molecular dynamics simulations. Our results strongly suggest that AlphaFold2 performs astoundingly well in the case of TM proteins and that its neural network is not overfitted. We conclude that a careful application of its structural models will advance TM protein associated studies at an unexpected level.

bioinformatics↗

bioRxiv2021

Nanomechanics combined with HDX reveal allosteric drug binding sites of CFTR NBD1

Cystic fibrosis is most frequently caused by the deletion of F508 ({Delta}F508) in CFTRs nucleotide binding domain 1 (NBD1), compromising CFTR folding, stability and domain assembly. The limitation of developing a successful therapy is due to the lack of molecules that synergistically facilitate folding by targeting distinct structural defects of {Delta}F508-CFTR. To improve drug efficacy by targeting the {Delta}F508-NBD1 folding and stability, and to study potential {Delta}F508-NBD1 allosteric corrector binding sites at the atomic level, we combined molecular dynamics (MD) simulations, atomic force spectroscopy (AFM) and hydrogen-deuterium exchange (HDX) experiments. These methods allowed us to describe unfolding intermediates and forces acting during NBD1 mechanical unfolding and to elucidate the stabilization mechanism of {Delta}F508-NBD1 by 5-bromoindole-3-acetic acid (BIA). An NBD1 region, including the -subdomain, was identified as a potentially important participant of the first folding steps, characterized by non-native interactions of F508, thus destabilized in the deletion mutant. The instability was counteracted by the low-potency corrector BIA, increasing the mechanical resistance of the {Delta}F508-NBD1 -subdomain, which was confirmed as a binding site by computational modeling and HDX experiments. Our results underline the complementarity of computational and experimental methods and provide a possible strategy to improve folding correctors.

biophysics↗

bioRxiv2021

Structure of PINK1 reveals autophosphorylation dimer and provides insights into binding to the TOM complex

Mutations in PINK1 causes autosomal-recessive Parkinsons disease. Mitochondrial damage results in PINK1 import arrest on the Translocase of the Outer Mitochondrial Membrane (TOM) complex, resulting in the activation of its ubiquitin kinase activity by autophosphorylation and initiation of Parkin-dependent mitochondrial clearance. Herein we report crystal structures of the entire cytosolic domain of insect PINK1. Our structures reveal a dimeric autophosphorylation complex targeting phosphorylation at the invariant Ser205 (human Ser228). The dimer interface requires insert 2, which is unique to PINK1. The structures also reveal how an N-terminal helix binds to the C-terminal extension and provide insights into stabilization of PINK1 on the core TOM complex.

biochemistry↗

bioRxiv2018

Multiple polyvalency provided by intrinsically disordered segments is a key feature of postsynaptic scaffold proteins

The human postsynaptic density is an elaborate network comprising thousands of proteins, playing a vital role in the molecular events of learning and the formation of memory. Despite our growing knowledge of specific proteins and their interactions, atomic-level details of their full three-dimensional structure and their rearrangements are mostly elusive. Advancements in structural bioinformatics enabled us to depict the characteristic features of proteins involved in different processes aiding neurotransmission. We show that postsynaptic protein-protein interactions are mediated through the delicate balance of intrinsically disordered regions and folded domains, and this duality is also imprinted in the amino acid sequence. We introduce Diversity of Potential Interactions (DPI), a structure and regulation based descriptor to assess the diversity of interactions. Our approach reveals that the postsynaptic proteome has its own characteristic features and these properties reliably discriminate them from other proteins of the human proteome. Our results suggest that postsynaptic proteins are especially susceptible to forming diverse interactions with each other, which might be key in the reorganization of the PSD in molecular processes related to learning and memory.

bioinformatics↗