Literature DB >> 33327383

Toward Cancer Diagnostics of the Tumor Suppressor p53 by Surface Enhanced Raman Spectroscopy.

Anna Rita Bizzarri1, Salvatore Cannistraro1.   

Abstract

The tumor suppressor p53 protein plays a crucial role in many biological processes. The presence of abnormal concentrations of wild-type p53, or some of its mutants, can be indicative of a pathological cancer state. p53 represents therefore a valuable biomarker for tumor screening approaches and development of suitable biosensors for its detection deserves a high interest in early diagnostics. Here, we revisit our experimental approaches, combining Surface Enhanced Raman Spectroscopy (SERS) and nanotechnological materials, for ultrasensitive detection of wild-type and mutated p53, in the perspective to develop biosensors to be used in clinical diagnostics. The Raman marker is provided by a small molecule (4-ATP) acting as a bridge between gold nanoparticles (NPs) and a protein biomolecule. The Azurin copper protein and specific antibodies of p53 were used as a capture element for p53 (wild-type and its mutants). The developed approaches allowed us to reach a detection level of p53 down to 10-17 M in both buffer and serum. The implementation of the method in a biosensor device, together with some possible developments are discussed.

Entities:  

Keywords:  cancer biomarkers; p53; p53 mutants; surface enhanced Raman spectroscopy (SERS); ultrasensitive detection

Mesh:

Substances:

Year:  2020        PMID: 33327383      PMCID: PMC7764831          DOI: 10.3390/s20247153

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  73 in total

1.  Surfing the p53 network.

Authors:  B Vogelstein; D Lane; A J Levine
Journal:  Nature       Date:  2000-11-16       Impact factor: 49.962

2.  Ultrasensitive label-free amplified colorimetric detection of p53 based on G-quadruplex MBzymes.

Authors:  Hongbo Li; Zaisheng Wu; Liping Qiu; Jinwen Liu; Cui Wang; Guoli Shen; Ruqin Yu
Journal:  Biosens Bioelectron       Date:  2013-06-29       Impact factor: 10.618

Review 3.  Introducing protein intrinsic disorder.

Authors:  Johnny Habchi; Peter Tompa; Sonia Longhi; Vladimir N Uversky
Journal:  Chem Rev       Date:  2014-04-17       Impact factor: 60.622

Review 4.  Aptamer-based biosensors for biomedical diagnostics.

Authors:  Wenhu Zhou; Po-Jung Jimmy Huang; Jinsong Ding; Juewen Liu
Journal:  Analyst       Date:  2014-06-07       Impact factor: 4.616

Review 5.  Understanding wild-type and mutant p53 activities in human cancer: new landmarks on the way to targeted therapies.

Authors:  I Goldstein; V Marcel; M Olivier; M Oren; V Rotter; P Hainaut
Journal:  Cancer Gene Ther       Date:  2010-10-22       Impact factor: 5.987

6.  Detection of TP53 mutation using a portable surface plasmon resonance DNA-based biosensor.

Authors:  Tieshan Jiang; Maria Minunni; P Wilson; Jian Zhang; A P F Turner; Marco Mascini
Journal:  Biosens Bioelectron       Date:  2005-04-15       Impact factor: 10.618

7.  Structural Characterization of the Intrinsically Disordered Protein p53 Using Raman Spectroscopy.

Authors:  Sara Signorelli; Salvatore Cannistraro; Anna Rita Bizzarri
Journal:  Appl Spectrosc       Date:  2016-06-23       Impact factor: 2.388

8.  Crystal structure analysis of oxidized Pseudomonas aeruginosa azurin at pH 5.5 and pH 9.0. A pH-induced conformational transition involves a peptide bond flip.

Authors:  H Nar; A Messerschmidt; R Huber; M van de Kamp; G W Canters
Journal:  J Mol Biol       Date:  1991-10-05       Impact factor: 5.469

9.  Development and application of a label-free fluorescence method for determining the composition of gold nanoparticle-protein conjugates.

Authors:  Dmitriy V Sotnikov; Anatoly V Zherdev; Boris B Dzantiev
Journal:  Int J Mol Sci       Date:  2014-12-31       Impact factor: 5.923

Review 10.  Surface Plasmon Resonance Sensing of Biorecognition Interactions within the Tumor Suppressor p53 Network.

Authors:  Ilaria Moscetti; Salvatore Cannistraro; Anna Rita Bizzarri
Journal:  Sensors (Basel)       Date:  2017-11-20       Impact factor: 3.576

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  1 in total

1.  Toward a SERS Diagnostic Tool for Discrimination between Cancerous and Normal Bladder Tissues via Analysis of the Extracellular Fluid.

Authors:  Edvinas Zacharovas; Martynas Velička; Gediminas Platkevičius; Albertas Čekauskas; Aru Nas Želvys; Gediminas Niaura; Valdas Šablinskas
Journal:  ACS Omega       Date:  2022-03-17
  1 in total

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