Ten Major Future Challenges in Single-Cell Metabolomics

Author(s):  
Bindesh Shrestha
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.


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

2020 ◽  
Vol 4 (3) ◽  
pp. 198-209 ◽  
Author(s):  
Disheng Feng ◽  
Tianrun Xu ◽  
Hang Li ◽  
Xianzhe Shi ◽  
Guowang Xu

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.


2008 ◽  
Vol 24 (12) ◽  
pp. 1525-1527 ◽  
Author(s):  
Hajime MIZUNO ◽  
Naohiro TSUYAMA ◽  
Sachiko DATE ◽  
Takanori HARADA ◽  
Tsutomu MASUJIMA

2019 ◽  
Vol 12 (1) ◽  
pp. 201-224 ◽  
Author(s):  
Ian S. Gilmore ◽  
Sven Heiles ◽  
Cornelius L. Pieterse

There is an increasing appreciation that every cell, even of the same type, is different. This complexity, when additionally combined with the variety of different cell types in tissue, is driving the need for spatially resolved omics at the single-cell scale. Rapid advances are being made in genomics and transcriptomics, but progress in metabolomics lags. This is partly because amplification and tagging strategies are not suited to dynamically created metabolite molecules. Mass spectrometry imaging has excellent potential for metabolic imaging. This review summarizes the recent advances in two of these techniques: matrix-assisted laser desorption ionization (MALDI) and secondary ion mass spectrometry (SIMS) and their convergence in subcellular spatial resolution and molecular information. The barriers that have held back progress such as lack of sensitivity and the breakthroughs that have been made including laser-postionization are highlighted as well as the future challenges and opportunities for metabolic imaging at the single-cell scale.


2019 ◽  
Vol 224 (2) ◽  
pp. 848-859 ◽  
Author(s):  
Kotaro Yamamoto ◽  
Katsutoshi Takahashi ◽  
Lorenzo Caputi ◽  
Hajime Mizuno ◽  
Carlos E. Rodriguez‐Lopez ◽  
...  

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