Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Other Glycolytic Pathways01:24

Other Glycolytic Pathways

1
The pentose phosphate pathway (PPP) operates in parallel with glycolysis, facilitating the metabolism of both pentoses and glucose. This pathway consists of two distinct phases: the oxidative and non-oxidative phases. While it does not directly generate ATP, the intermediates formed during the process can integrate into glycolysis, contributing to cellular energy metabolism when required.Oxidative Phase: NADPH ProductionThe oxidative phase of the pentose phosphate pathway is primarily...
1

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A study protocol for mixed-methods evaluation of the structure, design, and availability of medical student wellbeing programs.

PloS one·2026
Same author

A Far-Red FRET biosensor for AMPK enables multiplexed imaging of single-cell bioenergetic homeostasis.

bioRxiv : the preprint server for biology·2026
Same author

Genomics of Acute Myeloid Leukemia at Diagnosis and Remission.

medRxiv : the preprint server for health sciences·2025
Same author

Using Randomized Nyström Preconditioners to Accelerate Variational Image Reconstruction.

IEEE transactions on computational imaging·2025
Same author

Transient APC/C inactivation by mTOR boosts glycolysis during cell cycle entry.

Nature·2025
Same author

Deciphering the history of ERK activity from fixed-cell immunofluorescence measurements.

Nature communications·2025
Same journal

Considering internal conflict in the face of natural product biosynthesis and biosynthetic gene cluster evolution.

Essays in biochemistry·2026
Same journal

The plant holobiont: integrating molecular priming and ecological legacies for climate-adaptive immunity.

Essays in biochemistry·2026
Same journal

Bacterial-fungal interactions: connections and consequences.

Essays in biochemistry·2026
Same journal

Invasive plasmids as ecosystem engineers-from mechanism to application.

Essays in biochemistry·2026
Same journal

From early defence priming to lasting memory: developmental and seasonal dynamics in trees.

Essays in biochemistry·2026
Same journal

When context matters: community and environmental context to elicit natural products.

Essays in biochemistry·2026
See all related articles

Related Experiment Video

Updated: Jun 9, 2025

Analysis of Hematopoietic Stem Progenitor Cell Metabolism
12:20

Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Published on: November 9, 2019

6.8K

Understanding metabolic plasticity at single cell resolution.

Christina C Abbate1, Jason Hu1, John G Albeck1

  • 1Department of Molecular and Cellular Biology, University of California, Davis, U.S.A.

Essays in Biochemistry
|October 28, 2024
PubMed
Summary
This summary is machine-generated.

Cellular metabolism is not uniform, varying within tissues and cell types due to factors like cell cycle and circadian rhythms. Detecting this metabolic heterogeneity requires advanced methods such such as single-cell metabolomics.

Keywords:
adenosine triphosphatefluorescence resonance energy transferglycolysismetabolic regulationoxidative phosphorylationsystems biology

More Related Videos

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

8.3K
Exploring Mitochondrial Energy Metabolism of Single 3D Microtissue Spheroids Using Extracellular Flux Analysis
08:15

Exploring Mitochondrial Energy Metabolism of Single 3D Microtissue Spheroids Using Extracellular Flux Analysis

Published on: February 3, 2022

3.1K

Related Experiment Videos

Last Updated: Jun 9, 2025

Analysis of Hematopoietic Stem Progenitor Cell Metabolism
12:20

Analysis of Hematopoietic Stem Progenitor Cell Metabolism

Published on: November 9, 2019

6.8K
A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing
07:41

A Method for Measuring Metabolism in Sorted Subpopulations of Complex Cell Communities Using Stable Isotope Tracing

Published on: February 4, 2017

8.3K
Exploring Mitochondrial Energy Metabolism of Single 3D Microtissue Spheroids Using Extracellular Flux Analysis
08:15

Exploring Mitochondrial Energy Metabolism of Single 3D Microtissue Spheroids Using Extracellular Flux Analysis

Published on: February 3, 2022

3.1K

Area of Science:

  • Biochemistry
  • Cell Biology
  • Metabolomics

Background:

  • Cellular metabolic function exhibits significant heterogeneity, extending beyond tissue-specific differences to variations within tissues and even individual cell types.
  • Understanding the sources and detection of this metabolic variation is crucial for advancing cell biology and disease research.

Purpose of the Study:

  • To explore the diverse origins of cellular metabolic heterogeneity, focusing on central carbon metabolism.
  • To review and compare methodologies for detecting metabolic variation at the single-cell level.
  • To highlight the utility of biosensors in conjunction with metabolic perturbations for revealing cellular metabolic differences.

Main Methods:

  • Review of literature on cellular metabolism and heterogeneity.
  • Discussion of single-cell metabolomics and RNA-sequencing techniques.
  • Focus on biosensors for AMP-activated protein kinase (AMPK) and central carbon metabolites.

Main Results:

  • Cellular metabolic function varies due to multiple intrinsic and extrinsic factors, including cell cycle, circadian rhythms, and metabolic cycles.
  • Single-cell metabolomics and RNA-sequencing are powerful tools for detecting metabolic heterogeneity.
  • Biosensors, particularly for AMPK and key metabolites, combined with perturbations, provide direct evidence of metabolic variance.

Conclusions:

  • Cellular metabolic heterogeneity is a widespread phenomenon driven by various biological rhythms and cycles.
  • Advanced single-cell analytical techniques are essential for characterizing metabolic differences.
  • Targeted biosensor development and application offer critical insights into cellular metabolic dynamics.