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

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7153
Author(s):  
Anna Rita Bizzarri ◽  
Salvatore Cannistraro
Keyword(s):  
Raman Spectroscopy ◽  
Tumor Suppressor ◽  
P53 Protein ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Clinical Diagnostics ◽  
Tumor Suppressor P53 ◽  
Wild Type ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

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.

scholarly journals Surface-Enhanced Raman Spectroscopy to Characterize Different Fractions of Extracellular Vesicles from Control and Prostate Cancer Patients

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 580
Author(s):  
Eric Boateng Osei ◽  
Liliia Paniushkina ◽  
Konrad Wilhelm ◽  
Jürgen Popp ◽  
Irina Nazarenko ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Raman Spectroscopy ◽  
Cancer Patients ◽  
Extracellular Vesicles ◽  
Protein Secondary Structure ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Extracellular vesicles (EVs) are membrane-enclosed structures ranging in size from about 60 to 800 nm that are released by the cells into the extracellular space; they have attracted interest as easily available biomarkers for cancer diagnostics. In this study, EVs from plasma of control and prostate cancer patients were fractionated by differential centrifugation at 5000× g, 12,000× g and 120,000× g. The remaining supernatants were purified by ultrafiltration to produce EV-depleted free-circulating (fc) fractions. Spontaneous Raman and surface-enhanced Raman spectroscopy (SERS) at 785 nm excitation using silver nanoparticles (AgNPs) were employed as label-free techniques to collect fingerprint spectra and identify the fractions that best discriminate between control and cancer patients. SERS spectra from 10 µL droplets showed an enhanced Raman signature of EV-enriched fractions that were much more intense for cancer patients than controls. The Raman spectra of dehydrated pellets of EV-enriched fractions without AgNPs were dominated by spectral contributions of proteins and showed variations in S-S stretch, tryptophan and protein secondary structure bands between control and cancer fractions. We conclude that the AgNPs-mediated SERS effect strongly enhances Raman bands in EV-enriched fractions, and the fractions, EV12 and EV120 provide the best separation of cancer and control patients by Raman and SERS spectra.

Highly stable surface-enhanced Raman spectroscopy assay on abnormal thrombin levels in the blood plasma of cancer patients

2021 ◽  
Vol 13 (37) ◽  
pp. 4328-4333
Author(s):  
Lingling Liao ◽  
Shanshan Du ◽  
Yan Ding ◽  
Mengke Su ◽  
Ting Yu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Blood Plasma ◽  
Cancer Patients ◽  
False Positive ◽  
Surface Enhanced Raman Spectroscopy ◽  
Clinical Diagnostics ◽  
Dual Reporter ◽  
Surface Enhanced ◽  
Testing Tool ◽  
Surface Enhanced Raman

A double-aptamer sandwich strategy for dual-reporter SERS assay with reduced false-positive as practical protein testing tool in clinical diagnostics and prognosis.

Surface-enhanced Raman spectroscopy of microorganisms: limitations and applicability on the single-cell level

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 943-953 ◽  
Author(s):  
Ruben Weiss ◽  
Márton Palatinszky ◽  
Michael Wagner ◽  
Reinhard Niessner ◽  
Martin Elsner ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Single Cell ◽  
Environmental Studies ◽  
Surface Enhanced Raman Spectroscopy ◽  
Clinical Diagnostics ◽  
Single Cell Level ◽  
Cell Level ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Detection and characterization of microorganisms is essential for both clinical diagnostics and environmental studies.

scholarly journals Surface-Enhanced Raman Spectroscopy Analysis of Human Breast Cancer via Silver Nanoparticles: An Examination of Fabrication Methods

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Beata Brozek-Pluska ◽  
Monika Kopec ◽  
Jakub Surmacki
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Human Breast Cancer ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Histopathological Analysis ◽  
Human Breast ◽  
Tissue Samples ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Breast cancer in a traditional way is diagnosed using mammography, computer tomography, ultrasounds, biopsy, and finally, histopathological analysis. Histopathological analysis is a gold standard in breast cancer diagnostics; however, it is time consuming and prone to the human interpretations. That is why new methods based on optical properties of analyzed human tissue samples are needed to be introduced to the clinical practice objective, costless and fast diagnostic protocols. Nowadays, Raman spectroscopy-based methods are gaining more and more importance. Raman spectroscopy and imaging allow to characterize human tissue samples using an electromagnetic radiation from a safe range, and simultaneously, a minimal sample preparation is required. During measurements, a natural differentiation in tissues components’ scattering cross sections is used to build 2D and 3D maps of the chemical component distribution. The paper presents the application of SERS (surface-enhanced Raman spectroscopy) measurements for analysis of human breast cancer (adenocarcinoma). The advantages of SERS application in cancer diagnostics are also discussed. Moreover, the detailed chemical composition of human breast cancer tissue based on Raman bands of DNA/RNA, amino acids, lipids, and proteins which are significantly enhanced is presented. Three different methods of NP preparation are presented, and the effectiveness of Raman signal enhancement of Ag nanoparticles synthetized by these methods is compared. The enhancement effect of NPs synthetized by reduction of silver nitrate with sodium borohydride (method no. 1) and silver nitrate-hydroxylamine hydrochloride reduction (method no. 2) was stronger when compared with the polyol method (method no. 3). Presented SERS results confirmed that the clearly resolved and high-intensity Raman spectra of cancer human breast tissue can be recorded using integration times of the order of fractional seconds and one milliwatt of the excitation laser power.

Bacterial detection and differentiation via direct volatile organic compound sensing with surface enhanced Raman spectroscopy

2017 ◽  
Author(s):  
Caitlin S. DeJong ◽  
David I. Wang ◽  
Aleksandr Polyakov ◽  
Anita Rogacs ◽  
Steven J. Simske ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Bacterial Infections ◽  
Direct Detection ◽  
Point Of Care ◽  
Surface Enhanced Raman Spectroscopy ◽  
E Coli ◽  
Recent Emergence ◽  
Surface Enhanced ◽  
Volatile Organic ◽  
Surface Enhanced Raman

Through the direct detection of bacterial volatile organic compounds (VOCs), via surface enhanced Raman spectroscopy (SERS), we report here a reconfigurable assay for the identification and monitoring of bacteria. We demonstrate differentiation between highly clinically relevant organisms: <i>Escherichia coli</i>, <i>Enterobacter cloacae</i>, and <i>Serratia marcescens</i>. This is the first differentiation of bacteria via SERS of bacterial VOC signatures. The assay also detected as few as 10 CFU/ml of <i>E. coli</i> in under 12 hrs, and detected <i>E. coli</i> from whole human blood and human urine in 16 hrs at clinically relevant concentrations of 10<sup>3</sup> CFU/ml and 10<sup>4</sup> CFU/ml, respectively. In addition, the recent emergence of portable Raman spectrometers uniquely allows SERS to bring VOC detection to point-of-care settings for diagnosing bacterial infections.

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