Multiplex SERS Detection of Metabolic Alterations in Tumor Extracellular Media

被引:98
作者
Plou, Javier [1 ,2 ,3 ]
Garcia, Isabel [1 ,2 ]
Charconnet, Mathias [1 ,4 ]
Astobiza, Ianire [3 ,5 ]
Garcia-Astrain, Clara [1 ]
Matricardi, Cristiano [6 ]
Mihi, Agustin [6 ]
Carracedo, Arkaitz [3 ,5 ,7 ,8 ]
Liz-Marzan, Luis M. [1 ,2 ,8 ]
机构
[1] CIC biomaGUNE, BRTA, Paseo Miramon 182, Donostia San Sebastian 20014, Spain
[2] CIBER BBN, Biomed Res Networking Ctr Bioengn Biomat, Donostia San Sebastian 20014, Spain
[3] CIC bioGUNE, BRTA, Derio 48160, Spain
[4] CIC nanoGUNE Consolider, BRTA, Donostia San Sebastian 20018, Spain
[5] CIBERONC, Biomed Res Networking Ctr Oncol, Derio 48160, Spain
[6] CSIC, ICMAB, Inst Ciencia Mat Barcelona, Bellaterra 08193, Spain
[7] Univ Basque Country, UPV EHU, Biochem & Mol Biol Dept, Bilbao 48940, Spain
[8] Ikerbasque, Basque Fdn Sci, Bilbao 48013, Spain
基金
欧洲研究理事会; 欧盟地平线“2020”;
关键词
3D hydrogels cancer cell models; plasmonic substrates; surface-enhanced Raman scattering; tumor environment; tumor metabolism sensing; ENHANCED RAMAN-SPECTRA; CANCER; QUANTIFICATION; NANOPARTICLES; SPECTROSCOPY; TRYPTOPHAN; MECHANISM; APOPTOSIS; BACTERIA;
D O I
10.1002/adfm.201910335
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
The composition and intercellular interactions of tumor cells in the tissues dictate the biochemical and metabolic properties of the tumor microenvironment. The metabolic rewiring has a profound impact on the properties of the microenvironment, to an extent that monitoring such perturbations could harbor diagnostic and therapeutic relevance. A growing interest in these phenomena has inspired the development of novel technologies with sufficient sensitivity and resolution to monitor metabolic alterations in the tumor microenvironment. In this context, surface-enhanced Raman scattering (SERS) can be used for the label-free detection and imaging of diverse molecules of interest among extracellular components. Herein, the application of nanostructured plasmonic substrates comprising Au nanoparticles, self-assembled as ordered superlattices, to the precise SERS detection of selected tumor metabolites, is presented. The potential of this technology is first demonstrated through the analysis of kynurenine, a secreted immunomodulatory derivative of the tumor metabolism and the related molecules tryptophan and purine derivatives. SERS facilitates the unambiguous identification of trace metabolites and allows the multiplex detection of their characteristic fingerprints under different conditions. Finally, the effective plasmonic SERS substrate is combined with a hydrogel-based three-dimensional cancer model, which recreates the tumor microenvironment, for the real-time imaging of metabolite alterations and cytotoxic effects on tumor cells.
引用
收藏
页数:10
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