Evidence map›Paper›PMID 42532047›Full record

ArticleCell reports methods2026

ATP-Red enables single-cell bioenergetic phenotyping by flow cytometry.

Jose Marin, Bharati Singh, Amanda Fuchs, Tatiana Tarasenko, Emily Warren, Martha Kirby, Stacie Anderson, Stephen M Wincovitch, Eliza M Gordon-Lipkin, Shannon Kruk and 2 more

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Article in Cell reports methods, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Jose MarinMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Bharati SinghMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Amanda FuchsMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Tatiana TarasenkoMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Emily WarrenMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Martha KirbyFlow Cytometry Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Stacie AndersonFlow Cytometry Core, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Stephen M WincovitchAdvanced Imaging & Analysis Core Facility, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD 20892, USA.
Eliza M Gordon-LipkinMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Shannon KrukMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
A Phillip WestThe Jackson Laboratory, Bar Harbor, ME, USA.
Peter J McGuireMetabolism, Infection and Immunity Section, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA. Electronic address: peter.mcguire@nih.gov.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most established bioenergetic assays lack single-cell resolution and may mask metabolic heterogeneity. The main flow-cytometry-based approach for bioenergetic analysis infers energetic state from protein synthesis, although translation can become uncoupled from ATP availability under physiologic and pathologic conditions. Here, we evaluated ATP-Red as a flow-cytometry-compatible readout of energetic state at single-cell resolution. We benchmarked ATP-Red against orthogonal approaches, including colorimetric ATP quantification, the ATP/ADP biosensor PercevalHR, and extracellular flux analysis, across ATPase inhibition, glycolytic and oxidative blockade, mitochondrial dysfunction, and immune activation. Across these settings, ATP-Red tracked biologically meaningful energetic changes as a relative ATP-linked fluorescence readout. When combined with immunophenotyping, ATP-Red also captured bioenergetic heterogeneity and pathway use in T cells following activation and during influenza virus infection. These findings support ATP-Red as a practical and scalable approach for single-cell bioenergetic phenotyping.

Indexed as

Adenosine TriphosphateEnergy MetabolismFlow CytometrySingle-Cell AnalysisAnimalsGlycolysisHumansMitochondriaPhenotypeAdenosine TriphosphateATP-RedCP: metabolismflow cytometryglycolysisimmunometabolismmetabolic phenotypingmitochondrial dysfunctionoxidative phosphorylationsingle-cell bioenergetics

Identifiers

PMID42532047
PMCPMC13615503

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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 OpenQuestion graph.