Evidence map›Paper›PMID 32533056›Full record

ArticleCommunications biology2020

Met-Flow, a strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations.

Patricia J Ahl, Richard A Hopkins, Wen Wei Xiang, Bijin Au, Nivashini Kaliaperumal, Anna-Marie Fairhurst, John E Connolly

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 107 papers.

0numbers the graph read from it
0cells of the map it votes in
107citing papers in PubMed
6.8field-weighted citation impact, top 2% 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

107 citing papers in PubMed, 159 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Low-dose docetaxel reprograms CAR T cells for enhanced solid tumor immunity.Journal of experimental & clinical cancer research : CR · 2026
    Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Sepsis and the immunometabolic inflammatory response.npj metabolic health and disease · 2026
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Immunometabolic reprogramming ofFrontiers in tuberculosis · 2026
    Article
  16. Article
  17. Review
  18. Article
  19. Review
  20. Altered Metabolism in Idiopathic Pulmonary Fibrosis.Journal of cellular physiology · 2025
    Review

47 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

7 authors at 1 institution in 2 countries.

Patricia J AhlInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.ORCID http://orcid.org/0000-0003-2037-3966
Richard A HopkinsInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
Wen Wei XiangInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
Bijin AuInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
Nivashini KaliaperumalInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
Anna-Marie FairhurstInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore.
John E ConnollyInstitute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore, 138673, Singapore. jeconnolly@imcb.a-star.edu.sg.
Agency for Science, Technology and Research · SG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A complex interaction of anabolic and catabolic metabolism underpins the ability of leukocytes to mount an immune response. Their capacity to respond to changing environments by metabolic reprogramming is crucial to effector function. However, current methods lack the ability to interrogate this network of metabolic pathways at single-cell level within a heterogeneous population. We present Met-Flow, a flow cytometry-based method capturing the metabolic state of immune cells by targeting key proteins and rate-limiting enzymes across multiple pathways. We demonstrate the ability to simultaneously measure divergent metabolic profiles and dynamic remodeling in human peripheral blood mononuclear cells. Using Met-Flow, we discovered that glucose restriction and metabolic remodeling drive the expansion of an inflammatory central memory T cell subset. This method captures the complex metabolic state of any cell as it relates to phenotype and function, leading to a greater understanding of the role of metabolic heterogeneity in immune responses.

Indexed as

MetabolomeFlow CytometryHumansImmune SystemImmunologic MemoryLeukocytes, MononuclearLymphocyte ActivationSingle-Cell AnalysisT-Lymphocyte Subsets

Identifiers

PMID32533056
PMCPMC7292829
OpenAlexW3035599024

What OpenQuestion 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 OpenQuestion graph.