Development of Pico-ESI-MS for Single-Cell Metabolomics Analysis

Author(s):  
Zhenwei Wei ◽  
Xiaochao Zhang ◽  
Xingyu Si ◽  
Xiaoyun Gong ◽  
Sichun Zhang ◽  
...  
2020 ◽  
Vol 4 (3) ◽  
pp. 198-209 ◽  
Author(s):  
Disheng Feng ◽  
Tianrun Xu ◽  
Hang Li ◽  
Xianzhe Shi ◽  
Guowang Xu

RSC Advances ◽  
2021 ◽  
Vol 11 (38) ◽  
pp. 23654-23663
Author(s):  
Omnia Hesham Abdelhafez ◽  
John Refaat Fahim ◽  
Ramy R. El Masri ◽  
M. Alaraby Salem ◽  
Samar Yehia Desoukey ◽  
...  

The cytotoxic potential of the crude extract, different fractions, and green synthesized nanoparticles of the soft coral Nephthea sp. was studied, supported by LC-HR-ESI-MS metabolomics analysis and molecular docking of the dereplicated compounds.


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.


2019 ◽  
pp. 319-353 ◽  
Author(s):  
Prasad Minakshi ◽  
Mayukh Ghosh ◽  
Rajesh Kumar ◽  
Harshad Sudhir Patki ◽  
Hari Mohan Saini ◽  
...  

The Analyst ◽  
2019 ◽  
Vol 144 (3) ◽  
pp. 782-793 ◽  
Author(s):  
Kyle D. Duncan ◽  
Jonas Fyrestam ◽  
Ingela Lanekoff

Single cell metabolomics using mass spectrometry can contribute to understanding biological activities in health and disease.


Talanta ◽  
2020 ◽  
Vol 211 ◽  
pp. 120751 ◽  
Author(s):  
Yan Zheng ◽  
Zhiqiang Liu ◽  
Junpeng Xing ◽  
Zhong Zheng ◽  
Zifeng Pi ◽  
...  

2016 ◽  
Vol 6 (1) ◽  
Author(s):  
Xiao-Chao Zhang ◽  
Zhen-Wei Wei ◽  
Xiao-Yun Gong ◽  
Xing-Yu Si ◽  
Yao-Yao Zhao ◽  
...  

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