Literature DB >> 31894690

Beehive-Inspired Macroporous SERS Probe for Cancer Detection through Capturing and Analyzing Exosomes in Plasma.

Shilian Dong1, Yuhui Wang2,3, Zhengqi Liu4, Wuwen Zhang2, Kezhen Yi2, Xingang Zhang1, Xiaolei Zhang1, Changzhong Jiang1, Shikuan Yang5, Fubing Wang2, Xiangheng Xiao1.   

Abstract

The protein phosphorylation status of exosomes can regulate the activity and function of proteins related to cancer development, and it is highly possible to diagnose cancers through analyzing the protein phosphorylation status. However, monitoring the protein phosphorylation status with a simple and label-free method is still clinically challenging. Here, inspired by beehives, we developed an Au-coated TiO2 macroporous inverse opal (MIO) structure with an engineered "slow light effect" and thus with outstanding surface-enhanced Raman scattering (SERS) performance. The MIO structure can capture and analyze the exosomes from plasma of cancer patients without any labeling processes. It was found that the SERS intensity of exosomes at 1087 cm-1 arising from the P-O bond within the phosphoproteins can be used as a criterion for tumor liquid biopsies. The intensity of the 1087 cm-1 SERS peak from exosomes extracted from the plasma of cancer patients (prostate, lung, liver, and colon) is at least two times of that from healthy people. This indicates the simplicity and versatility of this method in cancer diagnostics. Our method has obvious advantages (noninvasive and time-saving) over currently clinically used tumor liquid biopsy techniques (such as western blot), which has great potentials to make vitro cancer diagnostics/monitoring as simple as diagnostics/monitoring of common diseases.

Entities:  

Keywords:  SERS; exosomes; liquid biopsies; protein phosphorylation; slow light effect

Mesh:

Substances:

Year:  2020        PMID: 31894690     DOI: 10.1021/acsami.9b21333

Source DB:  PubMed          Journal:  ACS Appl Mater Interfaces        ISSN: 1944-8244            Impact factor:   9.229


  18 in total

1.  Electrically Controlled Enrichment of Analyte for Ultrasensitive SERS-Based Plasmonic Sensors.

Authors:  Georgii Pavliuk; Alexey Zhizhchenko; Oleg Vitrik
Journal:  Nanomaterials (Basel)       Date:  2022-03-02       Impact factor: 5.076

2.  [Application of Raman-based technologies in the detection of urological tumors].

Authors:  Z Hao; S H Yue; L Q Zhou
Journal:  Beijing Da Xue Xue Bao Yi Xue Ban       Date:  2022-08-18

3.  Single Particle Automated Raman Trapping Analysis of Breast Cancer Cell-Derived Extracellular Vesicles as Cancer Biomarkers.

Authors:  Jelle Penders; Anika Nagelkerke; Eoghan M Cunnane; Simon V Pedersen; Isaac J Pence; R Charles Coombes; Molly M Stevens
Journal:  ACS Nano       Date:  2021-11-04       Impact factor: 18.027

Review 4.  Surface-Enhanced Raman Scattering (SERS) Spectroscopy for Sensing and Characterization of Exosomes in Cancer Diagnosis.

Authors:  Luca Guerrini; Eduardo Garcia-Rico; Ana O'Loghlen; Vincenzo Giannini; Ramon A Alvarez-Puebla
Journal:  Cancers (Basel)       Date:  2021-04-30       Impact factor: 6.639

Review 5.  Advances in microfluidic extracellular vesicle analysis for cancer diagnostics.

Authors:  Shibo Cheng; Yutao Li; He Yan; Yunjie Wen; Xin Zhou; Lee Friedman; Yong Zeng
Journal:  Lab Chip       Date:  2021-08-05       Impact factor: 7.517

Review 6.  Extracellular Vesicle Identification Using Label-Free Surface-Enhanced Raman Spectroscopy: Detection and Signal Analysis Strategies.

Authors:  Hyunku Shin; Dongkwon Seo; Yeonho Choi
Journal:  Molecules       Date:  2020-11-09       Impact factor: 4.411

7.  Co-continuous structural effect of size-controlled macro-porous glass membrane on extracellular vesicle collection for the analysis of miRNA.

Authors:  Hiroshi Yukawa; Shuji Yamazaki; Keita Aoki; Kengo Muto; Naoto Kihara; Kazuhide Sato; Daisuke Onoshima; Takahiro Ochiya; Yasuhito Tanaka; Yoshinobu Baba
Journal:  Sci Rep       Date:  2021-04-21       Impact factor: 4.379

Review 8.  Plasmonic Sensors for Extracellular Vesicle Analysis: From Scientific Development to Translational Research.

Authors:  Lip Ket Chin; Taehwang Son; Jae-Sang Hong; Ai-Qun Liu; Johan Skog; Cesar M Castro; Ralph Weissleder; Hakho Lee; Hyungsoon Im
Journal:  ACS Nano       Date:  2020-10-29       Impact factor: 15.881

Review 9.  Biomimetic Nanostructure Platform for Cancer Diagnosis Based on Tumor Biomarkers.

Authors:  Xiping He; Yifan Ma; Haotian Xie; Gaofeng Rao; Zhaogang Yang; Jingjing Zhang; Zhong Feng
Journal:  Front Bioeng Biotechnol       Date:  2021-07-15

Review 10.  Chemodynamic nanomaterials for cancer theranostics.

Authors:  Jingqi Xin; Caiting Deng; Omer Aras; Mengjiao Zhou; Chunsheng Wu; Feifei An
Journal:  J Nanobiotechnology       Date:  2021-06-28       Impact factor: 10.435

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