Evidence map›Paper›PMID 33596424›Full record

ArticleCell reports2021

Single-cell resolved imaging reveals intra-tumor heterogeneity in glycolysis, transitions between metabolic states, and their regulatory mechanisms.

Hiroshi Kondo, Colin D H Ratcliffe, Steven Hooper, James Ellis, James I MacRae, Marc Hennequart, Christopher W Dunsby, Kurt I Anderson, Erik Sahai

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed, 1 pooled it
7.7field-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

76 citing papers in PubMed, 1 synthesis or guideline pooled it, 108 citations in OpenAlex.

  1. Pooled it
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  11. Two novel red-FRET ERK bosensors in the 670-720 nm range.Journal of biological engineering · 2025
    Article
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  15. Technologies for Decoding Cancer Metabolism with Spatial Resolution.Cold Spring Harbor perspectives in medicine · 2025
    Review
  16. Journal of clinical and translational hepatology · 2025
    Article
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16 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

9 authors at 2 institutions in 1 country.

Hiroshi KondoTumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK.
Colin D H RatcliffeTumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK.
Steven HooperTumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK.
James EllisMetabolomics Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, UK.
James I MacRaeMetabolomics Science Technology Platform, The Francis Crick Institute, London, NW1 1AT, UK.
Marc Hennequartp53 and Metabolism Laboratory, The Francis Crick Institute, London, NW1 1AT, UK.
Christopher W DunsbyPhotonics Group, Physics Department, Imperial College London, London, SW7 2AZ, UK.
Kurt I AndersonCrick Advanced Light Microscopy Facility, The Francis Crick Institute, London, NW1 1AT, UK. Electronic address: kurt.anderson@crick.ac.uk.
Erik SahaiTumor Cell Biology Laboratory, The Francis Crick Institute, London, NW1 1AT, UK. Electronic address: erik.sahai@crick.ac.uk.
The Francis Crick Institute · GBImperial College London · GB

Funding

Cancer Research UK 28450Cancer Research UK C7408/A28450Cancer Research UK FC010144Medical Research Council FC010144Wellcome TrustWellcome Trust FC010144
6 · The paper itself

Abstract

Inter-cellular heterogeneity in metabolic state has been proposed to influence many cancer phenotypes, including responses to targeted therapy. Here, we track the transitions and heritability of metabolic states in single PIK3CA mutant breast cancer cells, identify non-genetic glycolytic heterogeneity, and build on observations derived from methods reliant on bulk analyses. Using fluorescent biosensors in vitro and in tumors, we have identified distinct subpopulations of cells whose glycolytic and mitochondrial metabolism are regulated by combinations of phosphatidylinositol 3-kinase (PI3K) signaling, bromodomain activity, and cell crowding effects. The actin severing protein cofilin, as well as PI3K, regulates rapid changes in glucose metabolism, whereas treatment with the bromodomain inhibitor slowly abrogates a subpopulation of cells whose glycolytic activity is PI3K independent. We show how bromodomain function and PI3K signaling, along with actin remodeling, independently modulate glycolysis and how targeting these pathways affects distinct subpopulations of cancer cells.

Indexed as

Cell Line, TumorCell ProliferationGenetic HeterogeneityGlycolysisHumansPhosphatidylinositol 3-KinasesSingle-Cell AnalysisPhosphatidylinositol 3-Kinasesbreast cancercofilinFRET imagingintra-tumor heterogeneityintravital imagingPI3K signalingtumor metabolism

Identifiers

PMID33596424
PMCPMC7900713
OpenAlexW3131393213

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.