Evidence mapPaperPMID 37548091Full record

ArticleEMBO reports2023

Calculation of ATP production rates using the Seahorse XF Analyzer.

Brandon R Desousa, Kristen Ko Kim, Anthony E Jones, Andréa B Ball, Wei Y Hsieh, Pamela Swain, Danielle H Morrow, Alexandra J Brownstein, David A Ferrick, Orian S Shirihai and 10 more

Open access · hybridAbstract read
In one paragraph

Article in EMBO reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 81 papers.

0numbers the graph read from it
0cells of the map it votes in
81citing papers in PubMed
21.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

81 citing papers in PubMed, 89 citations in OpenAlex.

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  17. Endometrial Epithelial Lactate Deficiency Drives CD8Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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21 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 4 institutions in 2 countries.

Brandon R DesousaDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-3765-3809
Kristen Ko KimDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-8376-3131
Anthony E JonesDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-2058-6021
Andréa B BallDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-8214-7190
Wei Y HsiehDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA.
Pamela SwainAgilent Technologies, Santa Clara, CA, USA.
Danielle H MorrowDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Alexandra J BrownsteinDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0003-0920-722X
David A FerrickAgilent Technologies, Santa Clara, CA, USA.
Orian S ShirihaiDepartment of Medicine, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0001-8466-3431
Andrew NeilsonAgilent Technologies, Santa Clara, CA, USA.
David A NathansonDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
George W RogersAgilent Technologies, Santa Clara, CA, USA.
Brian P DrankaAgilent Technologies, Santa Clara, CA, USA.
Anne N MurphyCytokinetics Inc., South San Francisco, CA, USA.ORCID 0000-0002-5222-9902
Charles AffourtitSchool of Biomedical Sciences, University of Plymouth, Plymouth, UK.ORCID 0000-0003-1776-9943
Steven J BensingerDepartment of Microbiology, Immunology, and Molecular Genetics, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-9657-4206
Linsey StilesDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.
Natalia RomeroAgilent Technologies, Santa Clara, CA, USA.
Ajit S DivakaruniDepartment of Molecular and Medical Pharmacology, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-2528-9651
University of California, Los Angeles · USAgilent Technologies (United States) · USCytokinetics (United States) · USUniversity of Plymouth · GB

Funding

UCLA SPORE IN PROSTATE CANCERP50CA092131 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2002 to 2005
$8.7M
Pilot & Feasibility ProgramP30DK063491 · UNIVERSITY OF CALIFORNIA, SAN DIEGO · 2003 to 2025
$5.4M
TUMOR CELL SURFACES AND CHROMOSOMEST32CA009056 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 1985 to 2025
$2.8M
Predoctoral Training in Biomedical SciencesT32GM136547 · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · 2025 to 2025
$775k
Understanding How Metabolic Cofactors Control Cell Function and FateR35GM138003 · UNIVERSITY OF CALIFORNIA LOS ANGELES · 2025 to 2025
$423k
NCI NIH HHS P50 CA092131NCI NIH HHS T32 CA009056NHLBI NIH HHS P01 HL146358NHLBI NIH HHS R01 HL157710NIDDK NIH HHS P30 DK063491NIGMS NIH HHS R35 GM138003NIGMS NIH HHS T32 GM136547NIGMS NIH HHS T32 GM136614
6 · The paper itself

Abstract

Oxidative phosphorylation and glycolysis are the dominant ATP-generating pathways in mammalian metabolism. The balance between these two pathways is often shifted to execute cell-specific functions in response to stimuli that promote activation, proliferation, or differentiation. However, measurement of these metabolic switches has remained mostly qualitative, making it difficult to discriminate between healthy, physiological changes in energy transduction or compensatory responses due to metabolic dysfunction. We therefore present a broadly applicable method to calculate ATP production rates from oxidative phosphorylation and glycolysis using Seahorse XF Analyzer data and empirical conversion factors. We quantify the bioenergetic changes observed during macrophage polarization as well as cancer cell adaptation to in vitro culture conditions. Additionally, we detect substantive changes in ATP utilization upon neuronal depolarization and T cell receptor activation that are not evident from steady-state ATP measurements. This method generates a single readout that allows the direct comparison of ATP produced from oxidative phosphorylation and glycolysis in live cells. Additionally, the manuscript provides a framework for tailoring the calculations to specific cell systems or experimental conditions.

Indexed as

SmegmamorphaAdenosine TriphosphateAnimalsEnergy MetabolismGlycolysisMammalsMitochondriaOxidative PhosphorylationAdenosine TriphosphateATPECARglycolysisoxidative phosphorylationSeahorse XF Analyzer

Identifiers

PMID37548091
PMCPMC10561364
OpenAlexW4385619793

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.