Single-cell resolved imaging reveals intra-tumor heterogeneity in glycolysis, transitions between metabolic states, and their regulatory mechanisms
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Evidence points to a substantial level of metabolic heterogeneity even in aggressive cancers.
“evidence points to a substantial level of metabolic heterogeneity even in aggressive cancers”
From Dynamic IL-6R/STAT3 signaling leads to heterogeneity of metabolic phenotype in pancreatic ductal adenocarcinoma cells (2024) · cites this paper as [7]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Tumour heterogeneity and resistance to cancer therapies
Dagogo-Jack, I., & Shaw, A. T. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2017.166 · Cited by 3,846 · see citing works
The PI3K Pathway in Human Disease
Fruman, D. A., Chiu, H., Hopkins, B. D., Bagrodia, S., Cantley, L. C., & Abraham, R. T. (2017) · Cell · doi:10.1016/j.cell.2017.07.029 · Cited by 2,749 · see citing works
Alpelisib for <i>PIK3CA</i> -Mutated, Hormone Receptor–Positive Advanced Breast Cancer
André, F., Ciruelos, E., Rubovszky, G., Campone, M., Loibl, S., Rugo, H. S., Iwata, H., Conte, P., Mayer, I. A., Kaufman, B., et al. (2019) · New England Journal of Medicine · doi:10.1056/nejmoa1813904 · Cited by 2,622 · see citing works
The PI3K–AKT network at the interface of oncogenic signalling and cancer metabolism
Hoxhaj, G., & Manning, B. D. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-019-0216-7 · Cited by 2,137 · see citing works
Aragona, M., Panciera, T., Manfrin, A., Giulitti, S., Michielin, F., Elvassore, N., Dupont, S., & Piccolo, S. (2013) · Cell · doi:10.1016/j.cell.2013.07.042 · Cited by 1,651 · see citing works
Imamura, H., Nhat, K. P. H., Togawa, H., Saito, K., Iino, R., Kato‐Yamada, Y., Nagai, T., & Noji, H. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0904764106 · Cited by 1,089 · see citing works
Targeting the PI3K pathway in cancer: are we making headway?
Janku, F., Yap, T. A., & Meric-Bernstam, F. (2018) · Nature Reviews Clinical Oncology · doi:10.1038/nrclinonc.2018.28 · Cited by 1,033 · see citing works
Actin and Actin-Binding ProteinsPreprint
Pollard, T. D. (2016) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a018226 · Cited by 929 · see citing works
Suppression of insulin feedback enhances the efficacy of PI3K inhibitors
Hopkins, B. D., Pauli, C., Du, X., Wang, D. G., Li, X., Wu, D., Amadiume, S. C., Goncalves, M. D., Hodakoski, C., Lundquist, M. R., et al. (2018) · Nature · doi:10.1038/s41586-018-0343-4 · Cited by 706 · cited 1× · see citing works
“possibility being that a subset of cells persist under PI3K pathway inhibition by regulating glycolysis through other mechanisms (Hopkins et al., 2018; Liu et al., 2011).”
BackgroundTumour heterogeneity and metastasis at single-cell resolution
Lawson, D. A., Kessenbrock, K., Davis, R. T., Pervolarakis, N., & Werb, Z. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0236-7 · Cited by 606 · see citing works
Mechanical regulation of glycolysis via cytoskeleton architecture
Park, J. S., Burckhardt, C. J., Lazcano, R., Solis, L. M., Isogai, T., Li, L., Chen, C. S., Gao, B., Minna, J. D., Bachoo, R. M., et al. (2020) · Nature · doi:10.1038/s41586-020-1998-1 · Cited by 567 · see citing works
Functions of cofilin in cell locomotion and invasion
Bravo‐Cordero, J. J., Magalhães, M. A. O., Eddy, R. J., Hodgson, L., & Condeelis, J. S. (2013) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm3609 · Cited by 462 · see citing works
Juric, D., Rodon, J. A., Tabernero, J. M., Jankú, F., Burris, H. A., Schellens, J. H. M., Middleton, M. R., Berlin, J. D., Schüler, M., Gil-Martín, M., et al. (2018) · Journal of Clinical Oncology · doi:10.1200/jco.2017.72.7107 · Cited by 436 · see citing works
Zhao, Y., Hu, Q., Cheng, F., Su, N., Wang, A., Zou, Y., Hu, H., Chen, X., Hai‐Meng, Z. H. O. U., Huang, X., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.04.009 · Cited by 434 · see citing works
Tumor-Stroma Mechanics Coordinate Amino Acid Availability to Sustain Tumor Growth and Malignancy
Bertero, T., Oldham, W. M., Grasset, E. M., Bourget, I., Boulter, E., Pisano, S., Hofman, P., Bellvert, F., Meneguzzi, G., Bulavin, D. V., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2018.09.012 · Cited by 393 · see citing works
Improving the metabolic fidelity of cancer models with a physiological cell culture medium
Voorde, J. V., Ackermann, T., Pfetzer, N., Sumpton, D. P., Mackay, G., Kalna, G., Nixon, C., Blyth, K., Gottlieb, E., & Tardito, S. (2019) · Science Advances · doi:10.1126/sciadv.aau7314 · Cited by 389 · see citing works
Leo, A. D., Johnston, S. R. D., Lee, K. S., Ciruelos, E., Lønning, P. E., Janni, W., O'Regan, R. M., Mouret‐Reynier, M., Kalev, D. N., Egle, D., et al. (2017) · The Lancet Oncology · doi:10.1016/s1470-2045(17)30688-5 · Cited by 382 · see citing works
Hu, H., Juvekar, A., Lyssiotis, C. A., Lien, E. C., Albeck, J. G., Oh, D., Varma, G., Hung, Y. P., Ullas, S., Lauring, J. D., et al. (2016) · Cell · doi:10.1016/j.cell.2015.12.042 · Cited by 374 · see citing works
Takanaga, H., Chaudhuri, B., & Frommer, W. B. (2008) · Biochimica et Biophysica Acta (BBA) - Biomembranes · doi:10.1016/j.bbamem.2007.11.015 · Cited by 333 · see citing works
Targeting the PI3K/AKT/mTOR pathway in estrogen receptor-positive breast cancer
Gil, E. M. C. (2014) · Cancer Treatment Reviews · doi:10.1016/j.ctrv.2014.03.004 · Cited by 315 · see citing works
MacRae, J. I., Dixon, M. W. A., Dearnley, M. K., Chua, H. H., Chambers, J. M., Kenny, S., Bottová, I., Tilley, L. M., & McConville, M. J. (2013) · BMC Biology · doi:10.1186/1741-7007-11-67 · Cited by 270 · see citing works
Self-citationLiu, P., Cheng, H.-L. M., Santiago, S., Raeder, M. B., Zhang, F., Isabella, A. J., Yang, J., Semaan, D. J., Chen, C., Fox, E. A., et al. (2011) · Nature Medicine · doi:10.1038/nm.2402 · Cited by 258 · see citing works
Juric, D., Jankú, F., Rodon, J. A., Burris, H. A., Mayer, I. A., Schüler, M., Seggewiß-Bernhardt, R., Gil-Martín, M., Middleton, M. R., Baselga, J. M., et al. (2018) · JAMA Oncology · doi:10.1001/jamaoncol.2018.4475 · Cited by 247 · see citing works
Rapid Global Fitting of Large Fluorescence Lifetime Imaging Microscopy Datasets
Warren, S. C., Margineanu, A., Alibhai, D., Kelly, D. J., Talbot, C. B., Alexandrov, Y., Munro, I., Katan, M., Dunsby, C. W., & French, P. M. W. (2013) · PLoS ONE · doi:10.1371/journal.pone.0070687 · Cited by 237 · see citing works
Self-citationΣτρατικόπουλος, Η., Dendy, M., Szabolcs, M. J., Khaykin, A. J., Lefèbvre, C., Zhou, M., & Parsons, R. E. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.05.006 · Cited by 234 · see citing works
Mitochondrial Akt Regulation of Hypoxic Tumor Reprogramming
Chae, Y. C., Vaira, V., Caino, M. C., Tang, H., Seo, J. H., Kossenkov, A. V., Ottobrini, L., Martelli, C., Lucignani, G., Bertolini, I., et al. (2016) · Cancer Cell · doi:10.1016/j.ccell.2016.07.004 · Cited by 209 · see citing works
Reactive Oxygen Species Regulate a Slingshot-Cofilin Activation Pathway
Kim, J., Huang, T. Y., & Bokoch, G. (2009) · Molecular Biology of the Cell · doi:10.1091/mbc.e09-02-0131 · Cited by 188 · see citing works
Zhang, J., Goliwas, K. F., Wang, W., Taufalele, P., Bordeleau, F., & Reinhart‐King, C. A. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1809964116 · Cited by 187 · see citing works
Papalazarou, V., Zhang, T., Paul, N. R., Juin, A., Cantini, M., Maddocks, O. D. K., Salmerón‐Sánchez, M., & Machesky, L. M. (2020) · Nature Metabolism · doi:10.1038/s42255-019-0159-z · Cited by 180 · see citing works
Regulation of ATP utilization during metastatic cell migration by collagen architecture
Zanotelli, M. R., Goldblatt, Z. E., Miller, J. P., Bordeleau, F., Li, J., VanderBurgh, J. A., Lampi, M. C., King, M. R., & Reinhart‐King, C. A. (2017) · Molecular Biology of the Cell · doi:10.1091/mbc.e17-01-0041 · Cited by 176 · see citing works
Zanotelli, M. R., Rahman-Zaman, A., VanderBurgh, J. A., Taufalele, P. V., Jain, A., Erickson, D., Bordeleau, F., & Reinhart-King, C. A. (2019) · Nature Communications · doi:10.1038/s41467-019-12155-z · Cited by 165 · see citing works
A software complement to AMDIS for processing GC-MS metabolomic data
Behrends, V., Tredwell, G. D., & Bundy, J. G. (2011) · Analytical Biochemistry · doi:10.1016/j.ab.2011.04.009 · Cited by 163 · see citing works
Alterations in PTEN and ESR1 promote clinical resistance to alpelisib plus aromatase inhibitors
Razavi, P., Dickler, M. N., Shah, P. D., Toy, W., Brown, D. N., Won, H. H., Li, B. T., Shen, R., Vasan, N., Modi, S., et al. (2020) · Nature Cancer · doi:10.1038/s43018-020-0047-1 · Cited by 160 · see citing works
bFGF Regulates PI3-Kinase-Rac1-JNK Pathway and Promotes Fibroblast Migration in Wound Healing
Kanazawa, S., Fujiwara, T., Matsuzaki, S., Shingaki, K., Taniguchi, M., Miyata, S., Tohyama, M., Sakai, Y., Yano, K., Hosokawa, K., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0012228 · Cited by 155 · see citing works
Cancer associated fibroblast FAK regulates malignant cell metabolism
Demircioglu, F., Wang, J., Candido, J. B., Costa, A. S. H., Casado, P., de Luxán‐Delgado, B., Reynolds, L. E., Gómez-Escudero, J., Newport, E., Rajeeve, V., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15104-3 · Cited by 154 · see citing works
Adapt and conquer: Metabolic flexibility in cancer growth, invasion and evasion
Kreuzaler, P. A., Panina, Y., Segal, J., & Yuneva, M. (2019) · Molecular Metabolism · doi:10.1016/j.molmet.2019.08.021 · Cited by 151 · see citing works
Metabolic Fitness and Plasticity in Cancer Progression
McGuirk, S., Audet-Delage, Y., & St‐Pierre, J. (2020) · Trends in cancer · doi:10.1016/j.trecan.2019.11.009 · Cited by 133 · see citing works
Kotera, I., Iwasaki, T., Imamura, H., Noji, H., & Nagai, T. (2010) · ACS Chemical Biology · doi:10.1021/cb900263z · Cited by 117 · see citing works
Zou, Y., Wang, A., Huang, L. Z., Zhu, X., Hu, Q., Zhang, Y., Chen, X., Li, F., Wang, Q., Wang, H., et al. (2020) · Developmental Cell · doi:10.1016/j.devcel.2020.02.017 · Cited by 116 · see citing works
Hulea, L., Gravel, S., Morita, M., Cargnello, M., Uchenunu, O., Im, Y. K., Lehuédé, C., Ma, E. H., Leibovitch, M., McLaughlan, S., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.09.001 · Cited by 87 · see citing works
Overcoming Resistance to Dual Innate Immune and MEK Inhibition Downstream of KRAS
Kitajima, S., Asahina, H., Chen, T., Guo, S., Quiceno, L. G., Cavanaugh, J. D., Merlino, A. A., Tange, S., Terai, H., Kim, J. W., et al. (2018) · Cancer Cell · doi:10.1016/j.ccell.2018.08.009 · Cited by 75 · see citing works
Akt regulation of glycolysis mediates bioenergetic stability in epithelial cells
Hung, Y. P., Teragawa, C., Kosaisawe, N., Gillies, T. E., Pargett, M., Minguet, M., Distor, K., Rocha-Gregg, B. L., Coloff, J. L., Keibler, M. A., et al. (2017) · eLife · doi:10.7554/elife.27293 · Cited by 74 · see citing works
Martin, K. J., McGhee, E. J., Schwarz, J. P., Drysdale, M., Brachmann, S. M., Stucke, V. M., Sansom, O. J., & Anderson, K. I. (2018) · PLoS ONE · doi:10.1371/journal.pone.0183585 · Cited by 35 · see citing works
Self-citationTalbot, C. B., Patalay, R., Munro, I., Warren, S. C., Ratto, F., Matteini, P., Pini, R., Breunig, H. G., König, K., Chu, A. C., et al. (2011) · Optics Express · doi:10.1364/oe.19.013848 · Cited by 34 · see citing works
Self-citationYang, W., Hosford, S. R., Dillon, L. M., Shee, K., Liu, S. C., Bean, J. R., Salphati, L., Pang, J., Zhang, X., Nannini, M., et al. (2016) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-15-2276 · Cited by 33 · see citing works
Individual Cells Can Resolve Variations in Stimulus Intensity along the IGF-PI3K-AKT Signaling Axis
Gross, S. M., Dane, M. A., Bucher, E., & Heiser, L. M. (2019) · Cell Systems · doi:10.1016/j.cels.2019.11.005 · Cited by 32 · see citing works
Imaging of Metabolic Status in 3D Cultures with an Improved AMPK FRET Biosensor for FLIM
Chennell, G., Willows, R., Warren, S. C., Carling, D., French, P. M. W., Dunsby, C. W., & Sardini, A. (2016) · Sensors · doi:10.3390/s16081312 · Cited by 16 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
The hallmarks of cancer metabolism: still emerging
Pavlova, N. N., Zhu, J., & Thompson, C. B. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.01.007 · Cited by 1,418 · see citing works
Tumor glycolysis, an essential sweet tooth of tumor cells
Paul, S., Ghosh, S., & Kumar, S. (2022) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2022.09.007 · Cited by 449 · see citing works
Heterogeneity of the tumor immune microenvironment and its clinical relevance
Jia, Q., Wang, A., Yuan, Y.-X., Zhu, B., & Long, H.-X. (2022) · Experimental Hematology & Oncology · doi:10.1186/s40164-022-00277-y · Cited by 236 · see citing works
Multiplexed 3D atlas of state transitions and immune interaction in colorectal cancer
Lin, J., Wang, S., Coy, S., Chen, Y., Yapp, C., Tyler, M., Nariya, M. K., Heiser, C. N., Lau, K. S., Santagata, S., et al. (2023) · Cell · doi:10.1016/j.cell.2022.12.028 · Cited by 284 · see citing works
Metabolic heterogeneity in cancer
Demicco, M., Liu, X., Leithner, K., & Fendt, S. (2024) · Nature Metabolism · doi:10.1038/s42255-023-00963-z · Cited by 183 · see citing works
m6A-regulated tumor glycolysis: new advances in epigenetics and metabolism
Yue, S., Liu, H., Su, H.-F., Luo, C., Liang, H., Zhang, B., & Zhang, W. (2023) · Molecular Cancer · doi:10.1186/s12943-023-01841-8 · Cited by 128 · see citing works
The multiple links between actin and mitochondria
Fung, T. S., Chakrabarti, R., & Higgs, H. N. (2023) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-023-00613-y · Cited by 109 · see citing works
Cancer cell metabolic plasticity in migration and metastasis
Mosier, J. A., Schwager, S. C., Boyajian, D. A., & Reinhart‐King, C. A. (2021) · Clinical & Experimental Metastasis · doi:10.1007/s10585-021-10102-1 · Cited by 101 · see citing works
Lei, L., Yang, F., Meng, X., Xu, L., Peng, L. G., Ma, Y., Dong, Z., Wang, Y., Zhang, X., & Song, G. (2023) · Journal of the American Chemical Society · doi:10.1021/jacs.3c09473 · Cited by 90 · see citing works
Genetic and Non-Genetic Mechanisms Underlying Cancer Evolution
Shlyakhtina, Y., Moran, K. L., & Portal, M. M. (2021) · Cancers · doi:10.3390/cancers13061380 · Cited by 91 · see citing works
HDAC Inhibitors: Dissecting Mechanisms of Action to Counter Tumor Heterogeneity
Karagiannis, D., & Rampias, T. N. (2021) · Cancers · doi:10.3390/cancers13143575 · Cited by 84 · see citing works
Multiphoton intravital microscopy of rodents
Scheele, C. L. G. J., Herrmann, D., Yamashita, E., Celso, C. L., Jenne, C. N., Oktay, M. H., Entenberg, D. R., Friedl, P., Weigert, R., Meijboom, F. L. B., et al. (2022) · Nature Reviews Methods Primers · doi:10.1038/s43586-022-00168-w · Cited by 73 · see citing works
Recent innovations in fluorescence lifetime imaging microscopy for biology and medicine
Datta, R., Gillette, A. A., Stefely, M. S., & Skala, M. C. (2021) · Journal of Biomedical Optics · doi:10.1117/1.jbo.26.7.070603 · Cited by 67 · see citing works
Baumann, Z., der Maur, P. A., & Bentires‐Alj, M. (2022) · EMBO Molecular Medicine · doi:10.15252/emmm.202114283 · Cited by 61 · see citing works
Recent Developments in Single-Cell Metabolomics by Mass Spectrometry─A Perspective
Petrova, B., & Güler, A. T. (2024) · Journal of Proteome Research · doi:10.1021/acs.jproteome.4c00646 · Cited by 64 · see citing works
Koberstein, J. N., Stewart, M. L., Smith, C. B., Tarasov, A. I., Ashcroft, F. M., Stork, P. A., & Goodman, R. H. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2204407119 · Cited by 60 · see citing works
Autofluorescence Imaging of Treatment Response in Neuroendocrine Tumor Organoids
Gillette, A. A., Babiarz, C. P., VanDommelen, A. R., Pasch, C. A., Clipson, L. J., Matkowskyj, K. A., Deming, D. A., & Skala, M. C. (2021) · Cancers · doi:10.3390/cancers13081873 · Cited by 57 · see citing works
Barroso, M., Monaghan, M. G., Niesner, R. A., & Dmitriev, R. I. (2023) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2023.115081 · Cited by 55 · see citing works
Li, J., Li, L., You, P., Wei, Y., & Xu, B. (2023) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2023.02.009 · Cited by 55 · see citing works
Xu, M. M., Zha, H., Han, R., Cheng, Y., Chen, J., Yue, L., Wang, R., & Zheng, Y. (2022) · Small · doi:10.1002/smll.202200330 · Cited by 54 · see citing works
Selective advantage of epigenetically disrupted cancer cells via phenotypic inertia
Loukas, I., Simeoni, F., Milan, M., Inglese, P., Patel, H., Goldstone, R. J., East, P., Strohbuecker, S., Mitter, R., Talsania, B., et al. (2022) · Cancer Cell · doi:10.1016/j.ccell.2022.10.002 · Cited by 46 · see citing works
Self-citationImmunometabolism: crosstalk with tumor metabolism and implications for cancer immunotherapy
Zhang, H., Fan, J., Kong, D., Sun, Y., Zhang, Q., Xiang, R., Lu, S., Yang, W., Feng, L., & Zhang, H. (2025) · Molecular Cancer · doi:10.1186/s12943-025-02460-1 · Cited by 48 · see citing works
Membrane transporters in cell physiology, cancer metabolism and drug response
Alam, S., Doherty, E., Ortega-Prieto, P., Arizanova, J., & Fets, L. (2023) · Disease Models & Mechanisms · doi:10.1242/dmm.050404 · Cited by 38 · see citing works
Cholesterol and Its Derivatives: Multifaceted Players in Breast Cancer Progression
Centonze, G., Natalini, D., Piccolantonio, A., Salemme, V., Morellato, A., Arina, P., Riganti, C., & Defilippi, P. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.906670 · Cited by 37 · see citing works
Ladraa, S., Zerbib, L., Bayard, C., Fraissenon, A., Venot, Q., Morin, G., Garneau, A. P., Isnard, P., Chapelle, C., Hoguin, C., et al. (2022) · Science Advances · doi:10.1126/sciadv.ade7823 · Cited by 36 · see citing works
Metabolic Flexibility Is a Determinant of Breast Cancer Heterogeneity and Progression
Fukano, M., Park, M., & Deblois, G. (2021) · Cancers · doi:10.3390/cancers13184699 · Cited by 34 · see citing works
Single-cell metabolomics by mass spectrometry: ready for primetime?
Zhang, C., Dévédec, S. E. L., Ali, A., & Hankemeier, T. (2023) · Current Opinion in Biotechnology · doi:10.1016/j.copbio.2023.102963 · Cited by 31 · see citing works
Chen, C., Ye, L., Yi, J., Liu, T., & Li, Z. (2023) · Breast Cancer Research and Treatment · doi:10.1007/s10549-023-07032-9 · Cited by 30 · see citing works
Filipe, E. C., Velayuthar, S., Philp, A. M., Nobis, M., Latham, S. L., Parker, A. L., Murphy, K. J., Wyllie, K., Major, G. S., Contreras, O., et al. (2024) · Advanced Science · doi:10.1002/advs.202307963 · Cited by 27 · see citing works
Oh, M. S., Abascal, J. W., Rennels, A. K., Salehi‐Rad, R., Dubinett, S. M., & Liu, B. (2025) · Cancers · doi:10.3390/cancers17061027 · Cited by 31 · see citing works
Muralidharan, S., Sahoo, S., Saha, A., Chandran, S., Majumdar, S. S., Mandal, S., Levine, H., & Jolly, M. K. (2022) · Biomolecules · doi:10.3390/biom12020297 · Cited by 28 · see citing works
Floerchinger, A., Murphy, K. J., Latham, S. L., Warren, S. C., McCulloch, A. T., Lee, Y.-K., Stoehr, J., Mélénec, P., S.Guaman, C., Metcalf, X. L., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109689 · Cited by 27 · see citing works
Self-citationGu, B., Meng, M., Bi, L., Kim, J., Feng, D. D., & Song, S. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.899351 · Cited by 27 · see citing works
Schwager, S. C., Mosier, J. A., Padmanabhan, R. S., White, A., Xing, Q., Hapach, L. A., Taufalele, P., Ortiz, I., & Reinhart‐King, C. A. (2022) · iScience · doi:10.1016/j.isci.2022.105190 · Cited by 27 · see citing works
3D imaging for driving cancer discovery
van Ineveld, R. L., van Vliet, E. J., Wehrens, E. J., Alieva, M., & Rios, A. C. (2022) · The EMBO Journal · doi:10.15252/embj.2021109675 · Cited by 25 · see citing works
Recent advancements in single-cell metabolic analysis for pharmacological research
Hou, Y., Yao, H., & Lin, J. (2023) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2023.08.014 · Cited by 25 · see citing works
Metabolic dependencies of metastasis-initiating cells in female breast cancer
Young, C. M., Beziaud, L., Dessen, P., Alonso, A. M., Santamaria‐Martínez, A., & Huelsken, J. (2023) · Nature Communications · doi:10.1038/s41467-023-42748-8 · Cited by 23 · see citing works
Metabolic landscape of disseminated cancer dormancy
Drápela, S., Garcia, B. M., Gomes, A. P., & Correia, A. L. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.10.005 · Cited by 22 · see citing works
Reciprocal regulation of actin filaments and cellular metabolism
Liu, G., Li, J., & Wu, C. (2022) · European Journal of Cell Biology · doi:10.1016/j.ejcb.2022.151281 · Cited by 21 · see citing works
Metabolic crosstalk between stromal and malignant cells in the bone marrow niche
Tirado, H. A., Balasundaram, N., Laaouimir, L., Erdem, A., & van Gastel, N. (2023) · Bone Reports · doi:10.1016/j.bonr.2023.101669 · Cited by 22 · see citing works
Zhou, R., Liang, J., Chen, Q., Tian, H., Yang, C., & Liu, C. (2021) · Aging · doi:10.18632/aging.203353 · Cited by 19 · see citing works
Yang, M., Mahanty, A., Jin, C., Wong, A. N. N., & Yoo, J. S. (2022) · Journal for ImmunoTherapy of Cancer · doi:10.1136/jitc-2022-005199 · Cited by 19 · see citing works
The Role of Metabolism in Tumor Immune Evasion: Novel Approaches to Improve Immunotherapy
Cruz‐Bermúdez, A., Briviesca, R. L., Casarrubios, M., Sierra‐Rodero, B., & Provencio, M. (2021) · Biomedicines · doi:10.3390/biomedicines9040361 · Cited by 18 · see citing works
The role of glycometabolic plasticity in cancer
Peng, Y., Yang, H., & Li, S. (2021) · Pathology - Research and Practice · doi:10.1016/j.prp.2021.153595 · Cited by 17 · see citing works
Li, J., Fang, Y. H., & Wu, D. (2021) · Current topics in membranes · doi:10.1016/bs.ctm.2021.07.003 · Cited by 18 · see citing works
Spatially resolved analysis of microenvironmental gradient impact on cancer cell phenotypes
Auxillos, J., Crouigneau, R., Li, Y.-F., Dai, Y., Stigliani, A., Tavernaro, I., Resch‐Genger, U., Sandelin, A., Marie, R., & Pedersen, S. F. (2024) · Science Advances · doi:10.1126/sciadv.adn3448 · Cited by 18 · see citing works
Chai, X., Tao, Q., & Li, L. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26146901 · Cited by 18 · see citing works
Russo, E., Lemaı̂tre, F., Corre, B., Chikina, A. S., Vives, F. L., & Bousso, P. (2022) · The EMBO Journal · doi:10.15252/embj.2022111528 · Cited by 16 · see citing works
Oh, M., Batty, S. R., Banerjee, N., & Kim, T.-H. (2023) · Molecular Biology of the Cell · doi:10.1091/mbc.e22-12-0560 · Cited by 15 · see citing works
Macrophages play a role in inflammatory transformation of colorectal cancer
Lu, L., Liu, Y.-J., Cheng, P., Hu, D., Xu, H.-C., & Ji, G. (2021) · World Journal of Gastrointestinal Oncology · doi:10.4251/wjgo.v13.i12.2013 · Cited by 15 · see citing works
Buschhaus, J. M., Rajendran, S., Chen, S., Wharram, B. L., Bevoor, A. S., Cutter, A. C., Humphries, B. A., Robison, T. H., Farfel, A. P., & Luker, G. D. (2023) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-22-0451 · Cited by 15 · see citing works
Vyshnava, S. S., Pandluru, G., Kumar, K. D., Panjala, S. P., Banapuram, S., Paramasivam, K., Devi, K. V., Anupalli, R. R., & Dowlathabad, M. R. (2022) · Scientific Reports · doi:10.1038/s41598-022-09702-y · Cited by 14 · see citing works
Zhu, H., Li, T., Li, C., Liu, Y., Miao, Y., Liu, D., & Shen, Q. (2022) · Environmental Microbiology · doi:10.1111/1462-2920.16286 · Cited by 14 · see citing works
Xie, L., Wen, X., Tang, W., Wang, C., Chen, Y., Yang, Y. A., Zhang, Z., & Zhao, Y. (2024) · Cell Reports Methods · doi:10.1016/j.crmeth.2024.100904 · Cited by 14 · see citing works
Dai, Y., Wang, S., Yang, M.-G., Zhuo, P.-Y., Ding, Y., Li, X., Cao, Y., Guo, X.-Q., Lin, H., Tao, J., et al. (2023) · Biological Research · doi:10.1186/s40659-023-00448-z · Cited by 13 · see citing works
Impact of ionizing radiation on cell-ECM mechanical crosstalk in breast cancer
Mottareale, R., Frascogna, C., Verde, G. L., Arrichiello, C., Muto, P., Netti, P. A., Fusco, S., Panzetta, V., & Pugliese, M. (2024) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2024.1408789 · Cited by 13 · see citing works
Abecunas, C., Kidd, A. D., Jiang, Y., Zong, H., & Fallahi‐Sichani, M. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114775 · Cited by 12 · see citing works
Fast autofluorescence imaging to evaluate dynamic changes in cell metabolism
Theodossiou, A. M., Martinez, J., & Walsh, A. J. (2024) · Journal of Biomedical Optics · doi:10.1117/1.jbo.29.12.126501 · Cited by 12 · see citing works
Ma, Q., & Yang, T. (2021) · Bioengineered · doi:10.1080/21655979.2021.2005990 · Cited by 12 · see citing works
RetractedGuo, M., & Zhang, J. (2022) · BioMed Research International · doi:10.1155/2022/4006184 · Cited by 12 · see citing works
Breast cancers as ecosystems: a metabolic perspective
Martino, F., Lupi, M., Giraudo, E., & Lanzetti, L. (2023) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-023-04902-9 · Cited by 15 · see citing works
Wu, Y., Chen, Z., Chen, X., Hu, Y., & Ma, Y. (2025) · Redox Report · doi:10.1080/13510002.2025.2564593 · Cited by 11 · see citing works
Sheehan, A., Okkelman, I. A., Groslambert, G., Bucher, C., Dmitriev, R. I., & Filatov, M. A. (2024) · Chemistry - A European Journal · doi:10.1002/chem.202404188 · Cited by 11 · see citing works
Wu, Y., Zhao, L. Q., Chang, Y., Zhao, L., Guo, G., & Wang, X. (2021) · Chinese Chemical Letters · doi:10.1016/j.cclet.2021.05.034 · Cited by 11 · see citing works
Quantifying and visualising the nuances of cellular dynamics in vivo using intravital imaging
Murphy, K. J., Reed, D. A., Trpceski, M., Herrmann, D., & Timpson, P. (2021) · Current Opinion in Cell Biology · doi:10.1016/j.ceb.2021.04.007 · Cited by 11 · see citing works
Kinnunen, P. C., Humphries, B. A., Luker, G. D., Luker, K. E., & Linderman, J. J. (2024) · npj Systems Biology and Applications · doi:10.1038/s41540-024-00369-x · Cited by 12 · see citing works
Yang, J., Davis, T., Kazerouni, A. S., Chen, Y., Bloom, M. J., Yeh, H., Yankeelov, T. E., & Virostko, J. M. (2021) · Molecular Imaging and Biology · doi:10.1007/s11307-021-01639-4 · Cited by 10 · see citing works
Blaszczak, W., White, B., Monterisi, S., & Swietach, P. (2024) · Cell Reports · doi:10.1016/j.celrep.2023.113612 · Cited by 9 · see citing works
Volume imaging to interrogate cancer cell-tumor microenvironment interactions in space and time
Almagro, J., & Messal, H. A. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1176594 · Cited by 9 · see citing works
Antonelli, Y., Krüger, R., Büehler, A., Monavari, M., Fuentes‐Chandía, M., Colombo, F., Palmisano, R., Bosserhoff, A., Kappelmann‐Fenzl, M., Schödel, J., et al. (2024) · Advanced Functional Materials · doi:10.1002/adfm.202311139 · Cited by 9 · see citing works
Navigating Nongenetic Plasticity in Cancer Drug Resistance
Sun, H., Kumari, N., Melzer, M. E., Backman, V., & Goyal, Y. (2024) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-071924-084617 · Cited by 9 · see citing works
E6AP is essential for the proliferation of HPV-positive cancer cells by preventing senescence
Avenhaus, A., Velimirović, M., Bulkescher, J., Scheffner, M., Hoppe‐Seyler, F., & Hoppe‐Seyler, K. (2025) · PLoS Pathogens · doi:10.1371/journal.ppat.1012914 · Cited by 9 · see citing works
Coexistence of “Cream Skimmer” and “Crumb Picker” Phenotypes in Nature and in Cancer
Huntly, N. J., Freischel, A. R., Miller, A., Lloyd, M. C., Basanta, D., & Brown, J. S. (2021) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2021.697618 · Cited by 8 · see citing works
Glucose Metabolism and Glucose Transporters in Head and Neck Squamous Cell Carcinoma
Ye, Y., & Cao, Z. (2024) · Cancer Investigation · doi:10.1080/07357907.2024.2407424 · Cited by 7 · see citing works
Bioimaging approaches for quantification of individual cell behavior during cell fate decisions
Begnini, K. R., Pereira, L. C., Faccioni, J. L., Lenz, G., & Filippi‐Chiela, E. C. (2022) · Biochemical Society Transactions · doi:10.1042/bst20210534 · Cited by 7 · see citing works
Tumor heterogeneity and the dilemma of antioxidant therapies in cancer
Selistre-de-Araújo, H. S., Pachane, B. C., & Altei, W. F. (2022) · Annals of Translational Medicine · doi:10.21037/atm-22-4219 · Cited by 7 · see citing works
Tamori, S., Matsuda, C., Kasai, T., Ohno, S., Sasaki, K., & Akimoto, K. (2025) · Scientific Reports · doi:10.1038/s41598-025-97985-2 · Cited by 6 · see citing works
An mTurquoise2-Based Glucose Biosensor
Botman, D., Tielman, A., Goedhart, J., & Teusink, B. (2026) · ACS Sensors · doi:10.1021/acssensors.5c03325 · Cited by 5 · see citing works
Methods and Guidelines for Metabolism Studies: Applications to Cancer Research
Li, M., Amend, S. R., & Pienta, K. J. (2025) · International Journal of Molecular Sciences · doi:10.3390/ijms26178466 · Cited by 6 · see citing works
BdLT-Seq as a barcode decay-based method to unravel lineage-linked transcriptome plasticity
Shlyakhtina, Y., Bloechl, B., & Portal, M. M. (2023) · Nature Communications · doi:10.1038/s41467-023-36744-1 · Cited by 5 · see citing works
MGAT4EP promotes tumor progression and serves as a prognostic marker for breast cancer
Zhong, L., Zhu, J., Chen, J., Jin, X., Liu, L., Ji, S., Luo, J., & Wang, H. (2025) · Cancer Biology & Therapy · doi:10.1080/15384047.2025.2475604 · Cited by 5 · see citing works
Technologies for Decoding Cancer Metabolism with Spatial ResolutionPreprint
Chen, W. W., Pacold, M. E., Sabatini, D. M., & Kanarek, N. (2024) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a041553 · Cited by 5 · see citing works
Understanding metabolic plasticity at single cell resolution
Abbate, C. C., Hu, J., & Albeck, J. G. (2024) · Essays in Biochemistry · doi:10.1042/ebc20240002 · Cited by 4 · see citing works
Intravital Microscopy Techniques to Image Wound Healing in Mouse Skin
Turk, M., Biernaskie, J. A., Mahoney, D. J., & Jenne, C. N. (2022) · Methods in molecular biology · doi:10.1007/978-1-0716-2051-9_10 · Cited by 4 · see citing works
PCSK9 and APOA4 : The Dynamic Duo in TMAO-induced Cholesterol Metabolism and Cholelithiasis
Shi, C., Yu, J., Meng, Z., Lu, D.-Y., Ding, H., Sun, H., Shi, G., Xue, D., & Meng, X. (2025) · Journal of Clinical and Translational Hepatology · doi:10.14218/jcth.2024.00403 · Cited by 3 · see citing works
Fructose-1,6-bisphosphate couples glycolytic activity to cell adhesion
Hoffmann, L., Duchmann, M., Lazarow, K., Huang, Y.-H., Lukas, F., Lo, W., Feil, R., Schmied, C., Lehmann, M., Lunn, J. E., et al. (2026) · Nature Cell Biology · doi:10.1038/s41556-026-01911-1 · Cited by 4 · see citing works
Glycolysis and Gluconeogenesis
Litwack, G. (2021) · Elsevier eBooks · doi:10.1016/b978-0-323-85718-5.00007-8 · Cited by 3 · see citing works
Ma, M., Xu, L., Cui, W., Huang, Y. Y., & Chi, G. (2023) · Discover Oncology · doi:10.1007/s12672-023-00723-1 · Cited by 3 · see citing works
Büehler, A., Krüger, R., Monavari, M., Fuentes‐Chandía, M., Palmisano, R., Schödel, J., Boccaccini, A. R., Bosserhoff, A., Kappelmann‐Fenzl, M., Letort, G., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.09.22.508846 · Cited by 3 · see citing works
Tylichová, Z., Krkoška, M., Hrabal, V., Stenckova, M., Vojtěšek, B., & Coates, P. J. (2026) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-025-00837-0 · Cited by 2 · see citing works
Harkhoe, R., Ferrari, G., Dmitriev, R. I., & Kühl, M. (2026) · ACS Measurement Science Au · doi:10.1021/acsmeasuresciau.5c00209 · Cited by 2 · see citing works
Monitoring Cellular Energy Balance in Single Cells Using Fluorescent Biosensors for AMPK
DeCuzzi, N. L., Kosaisawe, N., Pargett, M., Cabel, M., & Albeck, J. G. (2025) · Methods in molecular biology · doi:10.1007/978-1-0716-4284-9_3 · Cited by 2 · see citing works
Islam, M. T., Holland, W. L., & Lesniewski, L. A. (2021) · Trends in Endocrinology and Metabolism · doi:10.1016/j.tem.2021.04.002 · Cited by 2 · see citing works
Proteomic landscape of multi-layered breast cancer internal tumor heterogeneityPreprint
Mardamshina, M., Shenoy, A., Necula, D., Krol, K., Pirak, D., Itzhacky, N., Marin, I., Shalmon, B., Sharan, R., Gal-Yam, E., et al. (2021) · bioRxiv · doi:10.1101/2021.08.05.455361 · Cited by 1 · see citing works
Two Novel Red-FRET ERK Biosensors in the 670-720nm RangePreprint
DeCuzzi, N. L., Hu, J. J., Xu, F., Rodriguez, B., Pargett, M., & Albeck, J. G. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.11.30.626109 · Cited by 2 · see citing works
Evolution-Informed Modeling and Control of Tumor Growth
Romano, C., Benedetto, M. D. D., & Borri, A. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2025.3605540 · Cited by 1 · see citing works
Two novel red-FRET ERK Biosensors in the 670-720 nm range
DeCuzzi, N. L., Hu, J. J., Xu, F., Rodriguez, B., Pargett, M., & Albeck, J. G. (2025) · Journal of Biological Engineering · doi:10.1186/s13036-025-00541-9 · Cited by 1 · see citing works
Mitochondrial Metabolism in Breast Cancer
Hu, Q., Luo, Z., Yuan, W., Zou, Q., Wang, L., He, Y., Shen, Y., Wen, X., Chen, S., Liu, Q., et al. (2026) · Frontiers in Bioscience-Landmark · doi:10.31083/fbl45543 · Cited by 1 · see citing works
Floerchinger, A., Murphy, K. J., Latham, S. L., Warren, S. C., McCulloch, A. T., Lee, Y. K., Stoehr, J., Mélénec, P., S.Guaman, C., Metcalf, X. L., et al. (2023) · doi:10.32920/21985085 · Cited by 1 · see citing works
Self-citationdeepthought: the microscopy acquisition stack as an object of studyPreprint
Kesavan, P. S., Devadasan, S., & Bohra, D. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2025.02.25.639997 · Cited by 1 · see citing works
- Authors
- Kondo, H., Ratcliffe, C. D. H., Hooper, S., Ellis, J., MacRae, J. I., Hennequart, M., Dunsby, C. W., Anderson, K. I., & Sahai, E.
- Affiliations
- The Francis Crick Institute (GB)
- Imperial College London (GB)
- Corresponding author
- Anderson, Kurt I.
- Sahai, Erik
- ORCID
- Venue
- Cell Reports
- Publisher
- Elsevier BV
- Published
- 2021-02
- Volume
- 34
- Issue
- 7
- Pages
- 108750
- ISSN
- 2211-1247 (ISSN-L)
- PMC
- PMC7900713
- OpenAlex
- W3131393213
- Cited by
- 109
- References
- 47
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 17 · 2023: 23 · 2022: 24 · 2021: 20
- FWCI
- 8.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Cell Reports (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Figshare (submittedVersion, cc-by)
- Funders
- Fonds de Recherche du Québec - Santé
- Medical Research Council
- Wellcome Trust
- Cancer Research UK (FC010144)
- Francis Crick Institute
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Metabolism, Diabetes, and Cancer
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › PI3K/AKT/mTOR signaling in cancer
- Keywords
- intratumoral heterogeneity, glycolysis, cancer metabolism, PIK3CA mutation, breast cancer, PI3K signaling, bromodomain, cofilin, actin cytoskeleton remodeling, cell crowding, fluorescent biosensor, mitochondrial metabolism, non-genetic heterogeneity, targeted therapy resistance
- MeSH terms
- Glycolysis, Humans, Genetic Heterogeneity, Phosphatidylinositol 3-Kinases, Cell Line, Tumor, Cell Proliferation, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review