Live-cell metabolic analyzer protocol for measuring glucose and lactate metabolic changes in human cells

Kenji Miki; Mikako Yagi; Ko Igami; Hiroki Kittaka; Akito Tani; Natsuki Horiuchi; Satoshi Fukumoto; Koji Yoshimoto; Takeshi Uchiumi

doi:10.1016/j.xpro.2024.103518

Live-cell metabolic analyzer protocol for measuring glucose and lactate metabolic changes in human cells

Kenji Miki, Mikako Yagi, Ko Igami, Hiroki Kittaka, Akito Tani, Natsuki Horiuchi, Satoshi Fukumoto, Koji Yoshimoto, Takeshi Uchiumi

Research output: Contribution to journal › Article › peer-review

Abstract

Understanding metabolic conditions related to glycolysis dependence is crucial for developing new treatments in cancer and regenerative medicine. This protocol details a method for using the live-cell metabolic analyzer (LiCellMo) to measure continuous changes in glucose consumption and lactate production in cultured human cells. LiCellMo provides real-time data on consecutive metabolic changes, improving measurements of these processes in various contexts, including in cancer and regenerative treatments.

Original language	English
Article number	103518
Journal	STAR Protocols
Volume	6
Issue number	1
DOIs	https://doi.org/10.1016/j.xpro.2024.103518
Publication status	Published - Mar 21 2025

All Science Journal Classification (ASJC) codes

General Neuroscience
General Biochemistry,Genetics and Molecular Biology
General Immunology and Microbiology

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1016/j.xpro.2024.103518

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abstract = "Understanding metabolic conditions related to glycolysis dependence is crucial for developing new treatments in cancer and regenerative medicine. This protocol details a method for using the live-cell metabolic analyzer (LiCellMo) to measure continuous changes in glucose consumption and lactate production in cultured human cells. LiCellMo provides real-time data on consecutive metabolic changes, improving measurements of these processes in various contexts, including in cancer and regenerative treatments.",

keywords = "cell biology, cell culture, metabolism",

author = "Kenji Miki and Mikako Yagi and Ko Igami and Hiroki Kittaka and Akito Tani and Natsuki Horiuchi and Satoshi Fukumoto and Koji Yoshimoto and Takeshi Uchiumi",

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doi = "10.1016/j.xpro.2024.103518",

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T1 - Live-cell metabolic analyzer protocol for measuring glucose and lactate metabolic changes in human cells

AU - Miki, Kenji

AU - Yagi, Mikako

AU - Igami, Ko

AU - Kittaka, Hiroki

AU - Tani, Akito

AU - Horiuchi, Natsuki

AU - Fukumoto, Satoshi

AU - Yoshimoto, Koji

AU - Uchiumi, Takeshi

PY - 2025/3/21

Y1 - 2025/3/21

N2 - Understanding metabolic conditions related to glycolysis dependence is crucial for developing new treatments in cancer and regenerative medicine. This protocol details a method for using the live-cell metabolic analyzer (LiCellMo) to measure continuous changes in glucose consumption and lactate production in cultured human cells. LiCellMo provides real-time data on consecutive metabolic changes, improving measurements of these processes in various contexts, including in cancer and regenerative treatments.

AB - Understanding metabolic conditions related to glycolysis dependence is crucial for developing new treatments in cancer and regenerative medicine. This protocol details a method for using the live-cell metabolic analyzer (LiCellMo) to measure continuous changes in glucose consumption and lactate production in cultured human cells. LiCellMo provides real-time data on consecutive metabolic changes, improving measurements of these processes in various contexts, including in cancer and regenerative treatments.

KW - cell biology

KW - cell culture

KW - metabolism

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UR - http://www.scopus.com/inward/citedby.url?scp=85214488334&partnerID=8YFLogxK

U2 - 10.1016/j.xpro.2024.103518

DO - 10.1016/j.xpro.2024.103518

M3 - Article

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SN - 2666-1667

VL - 6

JO - STAR Protocols

JF - STAR Protocols

IS - 1

M1 - 103518

ER -

Live-cell metabolic analyzer protocol for measuring glucose and lactate metabolic changes in human cells

Abstract

All Science Journal Classification (ASJC) codes

UN SDGs

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