Multicolor Fluorescence Detection-Based Microfluidic Device for Single-Cell Metabolomics: Simultaneous Quantitation of Multiple Small Molecules in Primary Liver Cells

2016 ◽  
Vol 88 (17) ◽  
pp. 8610-8616 ◽  
Author(s):  
Qingling Li ◽  
Peilin Chen ◽  
Yuanyuan Fan ◽  
Xu Wang ◽  
Kehua Xu ◽  
...  
Lab on a Chip ◽  
2021 ◽  
Author(s):  
Huichao Chai ◽  
Yongxiang Feng ◽  
Fei Liang ◽  
Wenhui Wang

Successful single-cell isolation is a pivotal technique for subsequent biological and chemical analysis of single cells. Although significant advances have been made in single-cell isolation and analysis techniques, most passive...


Lab on a Chip ◽  
2011 ◽  
Vol 11 (1) ◽  
pp. 104-114 ◽  
Author(s):  
Min Jung Kim ◽  
Su Chul Lee ◽  
Sukdeb Pal ◽  
Eunyoung Han ◽  
Joon Myong Song

2016 ◽  
Vol 757 ◽  
pp. 012010
Author(s):  
Emre Altinagac ◽  
Selen Taskin ◽  
Huseyin Kizil

Author(s):  
Zhenwei Wei ◽  
Xiaochao Zhang ◽  
Xingyu Si ◽  
Xiaoyun Gong ◽  
Sichun Zhang ◽  
...  

2022 ◽  
Vol 11 ◽  
Author(s):  
Dingju Wei ◽  
Meng Xu ◽  
Zhihua Wang ◽  
Jingjing Tong

Metabolic reprogramming is one of the hallmarks of malignant tumors, which provides energy and material basis for tumor rapid proliferation, immune escape, as well as extensive invasion and metastasis. Blocking the energy and material supply of tumor cells is one of the strategies to treat tumor, however tumor cell metabolic heterogeneity prevents metabolic-based anti-cancer treatment. Therefore, searching for the key metabolic factors that regulate cell cancerous change and tumor recurrence has become a major challenge. Emerging technology––single-cell metabolomics is different from the traditional metabolomics that obtains average information of a group of cells. Single-cell metabolomics identifies the metabolites of single cells in different states by mass spectrometry, and captures the molecular biological information of the energy and substances synthesized in single cells, which provides more detailed information for tumor treatment metabolic target screening. This review will combine the current research status of tumor cell metabolism with the advantages of single-cell metabolomics technology, and explore the role of single-cell sequencing technology in searching key factors regulating tumor metabolism. The addition of single-cell technology will accelerate the development of metabolism-based anti-cancer strategies, which may greatly improve the prognostic survival rate of cancer patients.


2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
B. Deng ◽  
X. F. Li ◽  
D. Y. Chen ◽  
L. D. You ◽  
J. B. Wang ◽  
...  

Microfluidic cell-based arraying technology is widely used in the field of single-cell analysis. However, among developed devices, there is a compromise between cellular loading efficiencies and trapped cell densities, which deserves further analysis and optimization. To address this issue, the cell trapping efficiency of a microfluidic device with two parallel micro channels interconnected with cellular trapping sites was studied in this paper. By regulating channel inlet and outlet status, the microfluidic trapping structure can mimic key functioning units of previously reported devices. Numerical simulations were used to model this cellular trapping structure, quantifying the effects of channel on/off status and trapping structure geometries on the cellular trapping efficiency. Furthermore, the microfluidic device was fabricated based on conventional microfabrication and the cellular trapping efficiency was quantified in experiments. Experimental results showed that, besides geometry parameters, cellular travelling velocities and sizes also affected the single-cell trapping efficiency. By fine tuning parameters, more than 95% of trapping sites were taken by individual cells. This study may lay foundation in further studies of single-cell positioning in microfluidics and push forward the study of single-cell analysis.


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