Literature DB >> 33923162

S100P Interacts with p53 while Pentamidine Inhibits This Interaction.

Revansiddha H Katte1, Deepu Dowarha1, Ruey-Hwang Chou2,3, Chin Yu1.   

Abstract

S100P, a small calcium-binding protein, associates with the p53 protein with micromolar affinity. It has been hypothesized that the oncogenic function of S100P may involve binding-induced inactivation of p53. We used 1H-15N HSQC experiments and molecular modeling to study the molecular interactions between S100P and p53 in the presence and absence of pentamidine. Our experimental analysis indicates that the S100P-53 complex formation is successfully disrupted by pentamidine, since S100P shares the same binding site for p53 and pentamidine. In addition, we showed that pentamidine treatment of ZR-75-1 breast cancer cells resulted in reduced proliferation and increased p53 and p21 protein levels, indicating that pentamidine is an effective antagonist that interferes with the S100P-p53 interaction, leading to re-activation of the p53-21 pathway and inhibition of cancer cell proliferation. Collectively, our findings suggest that blocking the association between S100P and p53 by pentamidine will prevent cancer progression and, therefore, provide a new avenue for cancer therapy by targeting the S100P-p53 interaction.

Entities:  

Keywords:  1H-5N HSQC spectrum; HADDOCK program; S100P; biomolecular docking; p53-TAD (73 amino acids); protein-protein interactions

Year:  2021        PMID: 33923162     DOI: 10.3390/biom11050634

Source DB:  PubMed          Journal:  Biomolecules        ISSN: 2218-273X


  51 in total

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Journal:  Structure       Date:  2004-04       Impact factor: 5.006

9.  RAGE activation by S100P in colon cancer stimulates growth, migration, and cell signaling pathways.

Authors:  Maren K Fuentes; Shraddha S Nigavekar; Thiruvengadam Arumugam; Craig D Logsdon; Ann Marie Schmidt; Juliet C Park; Emina H Huang
Journal:  Dis Colon Rectum       Date:  2007-08       Impact factor: 4.585

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Authors:  Woonghee Lee; Marco Tonelli; John L Markley
Journal:  Bioinformatics       Date:  2014-12-12       Impact factor: 6.937

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