AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Article Link
Collect
Submit Manuscript
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Research Article

2D profiling of tumor chemotactic and molecular phenotype at single cell resolution using a SERS-microfluidic chip

Yizhi Zhang1,2,§Lei Wu1,§Kuo Yang1Shenfei Zong1Zhuyuan Wang1( )Yiping Cui1( )
Advanced Photonics Center, School of Electronic Science and Engineering, Southeast University, Nanjing 210096, China
Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

§ Yizhi Zhang and Lei Wu contributed equally to this work.

Show Author Information

Graphical Abstract

A surface enhanced Raman scattering (SERS)-microfluidic chip has been developed for two-dimensional (2D) profiling of tumor chemotactic and molecular phenotype at single-cell resolution.

Abstract

Emerging single-cell technologies create new opportunities for unraveling tumor heterogeneity. However, the development of high-content phenotyping platform is still at its infancy. Here, we develop a microfluidic chip for two-dimensional (2D) profiling of tumor chemotactic and molecular features at single cell resolution. Individual cells were captured by the triangular micropillar arrays in the cell-loading channel, facilitating downstream single-cell analysis. For 2D phenotyping, the chemotactic properties of tumor cells were visualized through cellular migratory behavior in microchannels, while their protein expression was profiled with multiplex surface enhanced Raman scattering (SERS) nanovectors, in which Raman reporter-embedded gold@silver core–shell nanoparticles (Au@Ag REPs) were modified with DNA aptamers targeting cellular surface proteins. As a proof of concept, breast cancer cells with diverse phenotypes were tested on the chip, demonstrating the capability of this platform for simultaneous chemotactic and molecular analysis. The chip is expected to provide a powerful tool for investigating tumor heterogeneity and promoting clinical precision medicine.

Electronic Supplementary Material

Download File(s)
12274_2022_4100_MOESM1_ESM.pdf (1.7 MB)

References

1

Pasha, N.; Turner, N. C. Understanding and overcoming tumor heterogeneity in metastatic breast cancer treatment. Nat. Cancer 2021, 2, 680–692.

2

Srivatsan, S. R.; McFaline-Figueroa, J. L.; Ramani, V.; Saunders, L.; Cao, J. Y.; Packer, J.; Pliner, H. A.; Jackson, D. L.; Daza, R. M.; Christiansen, L. et al. Massively multiplex chemical transcriptomics at single-cell resolution. Science 2020, 367, 45–51.

3

McGranahan, N.; Swanton, C. Clonal heterogeneity and tumor evolution: Past, present, and the future. Cell 2017, 168, 613–628.

4

Dagogo-Jack, I.; Shaw, A. T. Tumour heterogeneity and resistance to cancer therapies. Nat. Rev. Clin. Oncol. 2018, 15, 81–94.

5

Vitale, I.; Shema, E.; Loi, S.; Galluzzi, L. Intratumoral heterogeneity in cancer progression and response to immunotherapy. Nat. Med. 2021, 27, 212–224.

6

Lawson, D. A.; Kessenbrock, K.; Davis, R. T.; Pervolarakis, N.; Werb, Z. Tumour heterogeneity and metastasis at single-cell resolution. Nat. Cell Biol. 2018, 20, 1349–1360.

7

Keller, L.; Pantel, K. Unravelling tumour heterogeneity by single-cell profiling of circulating tumour cells. Nat. Rev. Cancer 2019, 19, 553–567.

8

Friedl, P.; Gilmour, D. Collective cell migration in morphogenesis, regeneration and cancer. Nat. Rev. Mol. Cell Biol. 2009, 10, 445–457.

9

Chaffer, C. L.; Weinberg, R. A. A perspective on cancer cell metastasis. Science 2011, 331, 1559–1564.

10

Weber, M.; Hauschild, R.; Schwarz, J.; Moussion, C.; Vries, I. D.; Legler, D. F.; Luther, S. A.; Bollenbach, T.; Sixt, M. Interstitial dendritic cell guidance by haptotactic chemokine gradients. Science 2013, 339, 328–332.

11

Chow, M. T.; Luster, A. D. Chemokines in cancer. Cancer Immunol. Res. 2014, 2, 1125–1131.

12

Welch, D. R.; Hurst, D. R. Defining the hallmarks of metastasis. Cancer Res. 2019, 79, 3011–3027.

13

Friedl, P.; Wolf, K. Tumour-cell invasion and migration: Diversity and escape mechanisms. Nat. Rev. Cancer 2003, 3, 362–374.

14

Mège, R. M. Molecular basis for fluidization of cancer cells. Nat. Mater. 2019, 18, 1147–1148.

15

Rueda, O. M.; Sammut, S. J.; Seoane, J. A.; Chin, S. F.; Caswell-Jin, J. L.; Callari, M.; Batra, R.; Pereira, B.; Bruna, A.; Ali, H. R. et al. Dynamics of breast-cancer relapse reveal late-recurring ER-positive genomic subgroups. Nature 2019, 567, 399–404.

16

Cristescu, R.; Lee, J.; Nebozhyn, M.; Kim, K. M.; Ting, J. C.; Wong, S. S.; Liu, J. G.; Yue, Y. G.; Wang, J.; Yu, K. et al. Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes. Nat. Med. 2015, 21, 449–456.

17

Wong, I. Y.; Javaid, S.; Wong, E. A.; Perk, S.; Haber, D. A.; Toner, M.; Irimia, D. Collective and individual migration following the epithelial-mesenchymal transition. Nat. Mater. 2014, 13, 1063–1071.

18

Zhang, Y. Q.; Zhang, W. J.; Qin, L. D. Mesenchymal-mode migration assay and antimetastatic drug screening with high-throughput microfluidic channel networks. Angew. Chem., Int. Ed. 2014, 53, 2344–2348.

19

Chen, Y. C.; Allen, S. G.; Ingram, P. N.; Buckanovich, R.; Merajver, S. D.; Yoon, E. Single-cell migration chip for chemotaxis-based microfluidic selection of heterogeneous cell populations. Sci. Rep. 2015, 5, 9980.

20

Poudineh, M.; Labib, M.; Ahmed, S.; Nguyen, L. N. M.; Kermanshah, L.; Mohamadi, R. M.; Sargent, E. H.; Kelley, S. O. Profiling functional and biochemical phenotypes of circulating tumor cells using a two-dimensional sorting device. Angew. Chem., Int. Ed. 2017, 56, 163–168.

21

Laing, S.; Jamieson, L. E.; Faulds, K.; Graham, D. Surface-enhanced raman spectroscopy for in vivo biosensing. Nat. Rev. Chem. 2017, 1, 0060.

22

Zeng, Y.; Koo, K. M.; Trau, M.; Shen, A. G.; Hu, J. M. Watching SERS glow for multiplex biomolecular analysis in the clinic: A review. Appl. Mater. Today 2019, 15, 431–444.

23

Zhang, Y. Z.; Wang, Z. Y.; Wu, L.; Zong, S. F.; Yun, B. F.; Cui, Y. P. Combining multiplex SERS nanovectors and multivariate analysis for in situ profiling of circulating tumor cell phenotype using a microfluidic chip. Small 2018, 14, 1704433.

24

Liu, Y. L.; Chou, C. K.; Kim, M.; Vasisht, R.; Kuo, Y. A.; Ang, P.; Liu, C.; Perillo, E. P.; Chen, Y. A.; Blocher, K. et al. Assessing metastatic potential of breast cancer cells based on EGFR dynamics. Sci. Rep. 2019, 9, 3395.

25

Islam, T.; Resat, H. Quantitative investigation of MDA-MB-231 breast cancer cell motility: Dependence on epidermal growth factor concentration and its gradient. Mol. BioSyst. 2017, 13, 2069–2082.

26

Deng, L.; Chen, N. Y.; Li, Y.; Zheng, H.; Lei, Q. Q. CXCR6/CXCL16 functions as a regulator in metastasis and progression of cancer. Biochim. Biophys. Acta (BBA)-Rev. Cancer 2010, 1806, 42–49.

27

Turkevich, J.; Stevenson, P. C.; Hillier, J. A study of the nucleation and growth processes in the synthesis of colloidal gold. Discuss. Faraday Soc. 1951, 11, 55–75.

28

Mallin, M. P.; Murphy, C. J. Solution-phase synthesis of sub-10 Nm Au-Ag alloy nanoparticles. Nano Lett. 2002, 2, 1235–1237.

29

Zhang, X.; Servos, M. R.; Liu, J. W. Instantaneous and quantitative functionalization of gold nanoparticles with thiolated DNA using a PH-assisted and surfactant-free route. J. Am. Chem. Soc. 2012, 134, 7266–7269.

30

Zhang, Y. B.; Wang, X. L.; Meister, E. A.; Gong, K. R.; Yan, S. C.; Lu, G. W.; Ji, X. M.; Shao, G. The effects of CoCl2 on HIF-1α protein under experimental conditions of autoprogressive hypoxia using mouse models. Int. J. Mol. Sci. 2014, 15, 10999–11012.

31

Li, S.; Zhang, J.; Yang, H.; Wu, C. H.; Dang, X. T.; Liu, Y. Y. Copper depletion inhibits CoCl2-induced aggressive phenotype of MCF-7 cells via downregulation of HIF-1 and inhibition of snail/twist-mediated epithelial-mesenchymal transition. Sci. Rep. 2015, 5, 12410.

32

Zhang, N.; Hong, B. A.; Zhou, C. H.; Du, X.; Chen, S. Q.; Deng, X. H.; Duoerkun, S.; Li, Q.; Yang, Y.; Gong, K. Cobalt chloride-induced hypoxia induces epithelial-mesenchymal transition in renal carcinoma cell lines. Ann. Clin. Lab. Sci. 2017, 47, 40–46.

33

Guiu, S.; Michiels, S.; André, F.; Cortes, J.; Denkert, C.; Di Leo, A.; Hennessy, B. T.; Sorlie, T.; Sotiriou, C.; Turner, N. et al. Molecular subclasses of breast cancer: How do we define them? The IMPAKT 2012 working group statement. Ann. Oncol. 2012, 23, 2997–3006.

Nano Research
Pages 4357-4365
Cite this article:
Zhang Y, Wu L, Yang K, et al. 2D profiling of tumor chemotactic and molecular phenotype at single cell resolution using a SERS-microfluidic chip. Nano Research, 2022, 15(5): 4357-4365. https://doi.org/10.1007/s12274-022-4100-5
Topics:

934

Views

13

Crossref

12

Web of Science

12

Scopus

0

CSCD

Altmetrics

Received: 26 September 2021
Revised: 17 December 2021
Accepted: 22 December 2021
Published: 08 February 2022
© Tsinghua University Press 2022
Return