ReviewNature methods2022
Advances in measuring cancer cell metabolism with subcellular resolution.
Review in Nature methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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.
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.
Who cites it
17 citing papers in PubMed, 41 citations in OpenAlex.
- Dissecting autonomous enzymatic variability in single cells.Nature communications · 2026Article
- Decoding cancer across scales with metabolomics.Nature reviews. Cancer · 2026Review
- Advanced Imaging for Live-Cell Spatiotemporal Monitoring: Technologies and Applications.Research (Washington, D.C.) · 2026Review
- Tools and Technologies for Studying Cancer Metabolism.Cancer treatment and research · 2026Review
- Review
- From morphology to single-cell molecules: high-resolution 3D histology in biomedicine.Molecular cancer · 2025Review
- Mitochondrial genetics, signalling and stress responses.Nature cell biology · 2025Review
- Raman-based machine-learning platform reveals unique metabolic differences between IDHmut and IDHwt glioma.Neuro-oncology · 2024Article
- Deciphering metabolic crosstalk in context: lessons from inflammatory diseases.Molecular oncology · 2024Review
- Self-Reinforced Bimetallic Mito-Jammer for CaAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- AI-assisted mass spectrometry imaging withChemical science · 2024Article
- Metabolic heterogeneity in cancer.Nature metabolism · 2024Review
- Next Generation of Mass Spectrometry Imaging: from Micrometer to Subcellular Resolution.Chemical & biomedical imaging · 2023Review
- Fluorescent biosensors illuminate the spatial regulation of cell signaling across scales.The Biochemical journal · 2023Review
- Viewing life without labels under optical microscopes.Communications biology · 2023Review
- Video-rate Raman-based metabolic imaging by Airy light-sheet illumination and photon-sparse detection.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Label-Free Optical Spectroscopy for Early Detection of Oral Cancer.Diagnostics (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Characterizing metabolism in cancer is crucial for understanding tumor biology and for developing potential therapies. Although most metabolic investigations analyze averaged metabolite levels from all cell compartments, subcellular metabolomics can provide more detailed insight into the biochemical processes associated with the disease. Methodological limitations have historically prevented the wider application of subcellular metabolomics in cancer research. Recently, however, ways to distinguish and identify metabolic pathways within organelles have been developed, including state-of-the-art methods to monitor metabolism in situ (such as mass spectrometry-based imaging, Raman spectroscopy and fluorescence microscopy), to isolate key organelles via new approaches and to use tailored isotope-tracing strategies. Herein, we examine the advantages and limitations of these developments and look to the future of this field of research.
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What OpenQuestion holds
Registered trials
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.