Abstract 112: The 3CL Protease Of SARS-CoV2 Induces Sarcomeric Degradation Through Cleavage Of The Giant Protein Obscurin

2021 ◽  
Vol 129 (Suppl_1) ◽  
Author(s):  
Nora Yucel ◽  
Quentin McAfee ◽  
Maria G Paterlini ◽  
Zoltan Arany

We hypothesized that the 3CL protease (3CLPro) is responsible for the sarcomere degradation observed in cardiomyocytes infected by SARS-COV2. Overexpression of 3CLPro, but not a catalytically inactive mutant, resulted in breakdown of sarcomeres characterized by intact Z-disk/thin filament subunits that has been recently reported (Perez-Bermejo, et al, 2021) in SARS-COV2 infection. To identify potential host protein targets of 3CLPro in an unbiased fashion we screened the human proteome using a cut-site scoring algorithm that we developed. Scoring, ie likelihood of 3CL protease cleavage, was based off experimental data (Chuck et al, 2010) previously published on the highly homologous (96%) 3CL protease from SARS-COV. This scoring was followed by refinement by secondary structure prediction to identify cut-sites that lie in unstructured regions that are thus thus more likely to be accessible to the protease. Using this method, we identified >1000 potential high-likelihood cut sites across the proteome. Further filtering by proteins with cardiomyocyte expression showed 5 high-likelihood sites within the giant sarcomeric protein, Obscurin (OBSCN), as well as many other structural and signaling proteins which we experimentally validated. Expression of 3CLPro in IPSC cardiomyocytes resulted in significantly reduced OBSCN staining without alterations in Z-disk, thin filament, or thick filament proteins by both western blot and immunocytochemistry. In addition, imaging showed loss of OBSCN at sites with intact Z-disk/thin filament subunits. Thus we propose that activity of 3CLPro is a significant contributor to sarcomere breakdown in SARS-COV2 infection via degradation of Obscurin.

2018 ◽  
Vol 115 (41) ◽  
pp. 10369-10374 ◽  
Author(s):  
Balázs Kiss ◽  
Eun-Jeong Lee ◽  
Weikang Ma ◽  
Frank W. Li ◽  
Paola Tonino ◽  
...  

Nebulin is a giant sarcomeric protein that spans along the actin filament in skeletal muscle, from the Z-disk to near the thin filament pointed end. Mutations in nebulin cause muscle weakness in nemaline myopathy patients, suggesting that nebulin plays important roles in force generation, yet little is known about nebulin’s influence on thin filament structure and function. Here, we used small-angle X-ray diffraction and compared intact muscle deficient in nebulin (using a conditional nebulin-knockout, Neb cKO) with control (Ctrl) muscle. When muscles were activated, the spacing of the actin subunit repeat (27 Å) increased in both genotypes; when converted to thin filament stiffness, the obtained value was 30 pN/nm in Ctrl muscle and 10 pN/nm in Neb cKO muscle; that is, the thin filament was approximately threefold stiffer when nebulin was present. In contrast, the thick filament stiffness was not different between the genotypes. A significantly shorter left-handed (59 Å) thin filament helical pitch was found in passive and contracting Neb cKO muscles, as well as impaired tropomyosin and troponin movement. Additionally, a reduced myosin mass transfer toward the thin filament in contracting Neb cKO muscle was found, suggesting reduced cross-bridge interaction. We conclude that nebulin is critically important for physiological force levels, as it greatly stiffens the skeletal muscle thin filament and contributes to thin filament activation and cross-bridge recruitment.


Author(s):  
D. A. Fischman ◽  
J. E. Dennis ◽  
T. Obinata ◽  
H. Takano-Ohmuro

C-protein is a 150 kDa protein found within the A bands of all vertebrate cross-striated muscles. By immunoelectron microscopy, it has been demonstrated that C-protein is distributed along a series of 7-9 transverse stripes in the medial, cross-bridge bearing zone of each A band. This zone is now termed the C-zone of the sarcomere. Interest in this protein has been sparked by its striking distribution in the sarcomere: the transverse repeat between C-protein stripes is 43 nm, almost exactly 3 times the 14.3 nm axial repeat of myosin cross-bridges along the thick filaments. The precise packing of C-protein in the thick filament is still unknown. It is the only sarcomeric protein which binds to both myosin and actin, and the actin-binding is Ca-sensitive. In cardiac and slow, but not fast, skeletal muscles C-protein is phosphorylated. Amino acid composition suggests a protein of little or no αhelical content. Variant forms (isoforms) of C-protein have been identified in cardiac, slow and embryonic muscles.


2019 ◽  
Vol 16 (2) ◽  
pp. 159-172 ◽  
Author(s):  
Elaheh Kashani-Amin ◽  
Ozra Tabatabaei-Malazy ◽  
Amirhossein Sakhteman ◽  
Bagher Larijani ◽  
Azadeh Ebrahim-Habibi

Background: Prediction of proteins’ secondary structure is one of the major steps in the generation of homology models. These models provide structural information which is used to design suitable ligands for potential medicinal targets. However, selecting a proper tool between multiple Secondary Structure Prediction (SSP) options is challenging. The current study is an insight into currently favored methods and tools, within various contexts. Objective: A systematic review was performed for a comprehensive access to recent (2013-2016) studies which used or recommended protein SSP tools. Methods: Three databases, Web of Science, PubMed and Scopus were systematically searched and 99 out of the 209 studies were finally found eligible to extract data. Results: Four categories of applications for 59 retrieved SSP tools were: (I) prediction of structural features of a given sequence, (II) evaluation of a method, (III) providing input for a new SSP method and (IV) integrating an SSP tool as a component for a program. PSIPRED was found to be the most popular tool in all four categories. JPred and tools utilizing PHD (Profile network from HeiDelberg) method occupied second and third places of popularity in categories I and II. JPred was only found in the two first categories, while PHD was present in three fields. Conclusion: This study provides a comprehensive insight into the recent usage of SSP tools which could be helpful for selecting a proper tool.


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