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1.
Front Mol Biosci ; 8: 614443, 2021.
Artículo en Inglés | MEDLINE | ID: mdl-34386518

RESUMEN

The emergence of novel coronavirus mutants is a main factor behind the deterioration of the epidemic situation. Further studies into the pathogenicity of these mutants are thus urgently needed. Binding of the spinous protein receptor binding domain (RBD) of SARS-CoV-2 to the angiotensin-converting enzyme 2 (ACE2) receptor was shown to initiate coronavirus entry into host cells and lead to their infection. The receptor-binding motif (RBM, 438-506) is a region that directly interacts with ACE2 receptor in the RBD and plays a crucial role in determining affinity. To unravel how mutations in the non-RBM regions impact the interaction between RBD and ACE2, we selected three non-RBM mutant systems (N354D, D364Y, and V367F) from the documented clinical cases, and the Q498A mutant system located in the RBM region served as the control. Molecular dynamics simulation was conducted on the mutant systems and the wild-type (WT) system, and verified experiments also performed. Non-RBM mutations have been shown not only to change conformation of the RBM region but also to significantly influence its hydrogen bonding and hydrophobic interactions. In particular, the D364Y and V367F systems showed a higher affinity for ACE2 owing to their electrostatic interactions and polar solvation energy changes. In addition, although the binding free energy at this point increased after the mutation of N354D, the conformation of the random coil (Pro384-Asp389) was looser than that of other systems, and the combined effect weakened the binding free energy between RBD and ACE2. Interestingly, we also found a random coil (Ala475-Gly485). This random coil is very sensitive to mutations, and both types of mutations increase the binding free energy of residues in this region. We found that the binding loop (Tyr495-Tyr505) in the RBD domain strongly binds to Lys353, an important residue of the ACE2 domain previously identified. The binding free energy of the non-RBM mutant group at the binding loop had positive and negative changes, and these changes were more obvious than that of the Q498A system. The results of this study elucidate the effect of non-RBM mutation on ACE2-RBD binding, and provide new insights for SARS-CoV-2 mutation research.

2.
Med Oncol ; 38(4): 34, 2021 Mar 04.
Artículo en Inglés | MEDLINE | ID: mdl-33660148

RESUMEN

Protein interacting with C-kinase 1 (PICK1) is a 415-aa multidomain scaffold protein encoded by the PICK1 gene. Accumulating evidence suggests that PICK1 is involved in the progression of cancer. However, the role of PICK1 in gastric cancer (GC) remains largely unknown. Using integrated analysis of publicly available GC transcriptome data from the Gene Expression Omnibus (GEO) database and immunohistochemistry analysis of samples obtained from clinical GC patients, we found that PICK1 expression was significantly down-regulated in gastric tumor tissues in comparison with adjacent normal tissues. Our analyses also revealed that decreased expression of PICK1 conferred a disadvantage on overall survival time in GC patients. Additionally, PICK1 expression showed a strong association with the epithelial-mesenchymal transition (EMT) pathway, and PICK1 might represent a functional bridge for EMT. Moreover, PICK1 expression was significantly decreased in the EMT subtype of GC and was negatively correlated with the expression of fibronectin 1 (FN1) and myosin light chain 9 (MYL9) mRNAs. Thus, our study provides evidence that PICK1 is a promising biomarker for the molecular etiology of GC.


Asunto(s)
Proteínas Portadoras/metabolismo , Transición Epitelial-Mesenquimal , Proteínas Nucleares/metabolismo , Neoplasias Gástricas/patología , Biomarcadores de Tumor/genética , Proteínas Portadoras/genética , Línea Celular Tumoral , Regulación hacia Abajo/genética , Transición Epitelial-Mesenquimal/genética , Fibronectinas/genética , Fibronectinas/metabolismo , Expresión Génica , Humanos , Cadenas Ligeras de Miosina/genética , Cadenas Ligeras de Miosina/metabolismo , Proteínas Nucleares/genética , Pronóstico , Mapas de Interacción de Proteínas , Neoplasias Gástricas/genética , Neoplasias Gástricas/mortalidad
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