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Revisiting the role of metabolism during development
Open accessAbstract
An emerging view emphasizes that metabolism is highly regulated in both time and space. In addition, it is increasingly being recognized that metabolic pathways are tightly connected to specific biological processes such as cell signaling, proliferation and differentiation. As we obtain a better view of this spatiotemporal regulation of metabolism, and of the molecular mechanisms that connect metabolism and signaling, we can now move from largely correlative to more functional studies. It is, therefore, a particularly promising time to revisit how metabolism can affect multiple aspects of animal development. In this Review, we discuss how metabolism is mechanistically linked to cellular and developmental programs through both its bioenergetic and metabolic signaling functions. We highlight how metabolism is regulated across various spatial and temporal scales, and discuss how this regulation can influence cellular processes such as cell signaling, gene expression, and epigenetic and post-translational modifications during embryonic development.
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Citations
Cites
The emerging hallmarks of cancer metabolism
Pavlova, N. N., & Thompson, C. B. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.12.006 · Cited by 5,926 · cited 1×
“However, recent studies have shed new light on previously unrecognized roles of central carbon metabolism in the regulation of specific biological processes, such as cell signaling, proliferation and differentiation (Pavlova and Thompson, 2016; Shyh-Chang et al., 2013).”
BackgroundCancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2009) · Nature · doi:10.1038/nature08617 · Cited by 4,154
The M2 splice isoform of pyruvate kinase is important for cancer metabolism and tumour growth
Christofk, H. R., Vander Heiden, M. G., Harris, M. H., Ramanathan, A., Gerszten, R. E., Wei, R., Fleming, M. D., Schreiber, S. L., & Cantley, L. C. (2008) · Nature · doi:10.1038/nature06734 · Cited by 2,820
The transcription factor Myc controls metabolic reprogramming upon T lymphocyte activation
Wang, R., Dillon, C. P., Shi, L. Z., Milasta, S., Carter, R., Finkelstein, D., McCormick, L. L., Fitzgerald, P., Chi, H., Munger, J., et al. (2011) · Immunity · doi:10.1016/j.immuni.2011.09.021 · Cited by 2,140 · cited 2×
“Upon T-cell activation by antigen-producing cells, Myc, a regulator of glycolysis and glutaminolysis (Dang, 2017;Wang et al., 2011), is asymmetrically partitioned into daughter cells, leading to a metabolic asymmetry (Verbist et al.”
BackgroundInsights into RNA Biology from an Atlas of Mammalian mRNA-Binding Proteins
Castello, A., Fischer, B., Eichelbaum, K., Horos, R., Beckmann, B. M., Strein, C., Davey, N. E., Humphreys, D. T., Preiss, T., Steinmetz, L. M., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.031 · Cited by 2,132
Ward, P. S., Patel, J., Wise, D. R., Abdel-Wahab, O., Bennett, B. D., Coller, H. A., Cross, J. R., Fantin, V. R., Hedvat, C. V., Perl, A. E., et al. (2010) · Cancer Cell · doi:10.1016/j.ccr.2010.01.020 · Cited by 2,020
IDH mutation impairs histone demethylation and results in a block to cell differentiation
Lu, C., Ward, P. S., Kapoor, G. S., Rohle, D., Turcan, S., Abdel-Wahab, O., Edwards, C. R., Khanin, R., Figueroa, M. E., Melnick, A., et al. (2012) · Nature · doi:10.1038/nature10860 · Cited by 1,985
The CD28 Signaling Pathway Regulates Glucose Metabolism
Frauwirth, K. A., Riley, J. L., Harris, M. H., Parry, R. V., Rathmell, J. C., Plas, D. R., Elstrom, R. L., June, C. H., & Thompson, C. B. (2002) · Immunity · doi:10.1016/s1074-7613(02)00323-0 · Cited by 1,475 · cited 1×
“Similarly, the pronounced activation of glycolysis accompanying T-cell activation (Frauwirth et al., 2002; Wang et al., 2011) leads to increased acetyl-CoA and, therefore, histone acetylation levels (Peng et al.”
BackgroundPhosphoenolpyruvate Is a Metabolic Checkpoint of Anti-tumor T Cell Responses
Ho, P.-C., Bihuniak, J. D., Macintyre, A. N., Staron, M., Liu, X., Amezquita, R., Tsui, Y.-C., Cui, G., Micevic, G., Perales, J. C., et al. (2015) · Cell · doi:10.1016/j.cell.2015.08.012 · Cited by 1,462
R-2HG Exhibits Anti-tumor Activity by Targeting FTO/m6A/MYC/CEBPA Signaling
Su, R., Dong, L., Li, C., Nachtergaele, S., Wunderlich, M., Qing, Y., Deng, X., Wang, Y., Weng, X., Hu, C., et al. (2018) · Cell · doi:10.1016/j.cell.2017.11.031 · Cited by 1,137 · cited 1×
“A recent study also showed the involvement of 2-HG in regulating the epitranscriptome (i.e. the chemical modifications of RNA) by inhibiting an αKG-dependent RNA demethylase (Su et al., 2018).”
BackgroundIntracellular α-ketoglutarate maintains the pluripotency of embryonic stem cells
Carey, B. W., Finley, L. W. S., Cross, J. R., Allis, C. D., & Thompson, C. B. (2015) · Nature · doi:10.1038/nature13981 · Cited by 1,007
Pyruvate kinase M2 activators promote tetramer formation and suppress tumorigenesis
Anastasiou, D., Yu, Y., Israelsen, W. J., Jiang, J.-K., Boxer, M. B., Hong, B. S., Tempel, W., Dimov, S., Shen, M., Jha, A., et al. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.1060 · Cited by 816
Aerobic glycolysis promotes T helper 1 cell differentiation through an epigenetic mechanism
Peng, M., Yin, N., Chhangawala, S., Xu, K., Leslie, C. S., & Li, M. O. (2016) · Science · doi:10.1126/science.aaf6284 · Cited by 787
Cai, L., Sutter, B. M., Li, B., & Tu, B. P. (2011) · Molecular Cell · doi:10.1016/j.molcel.2011.05.004 · Cited by 701
Zheng, X., Boyer, L., Jin, M., Mertens, J., Kim, Y., Ma, L., Ma, L., Hamm, M., Gage, F. H., & Hunter, T. (2016) · eLife · doi:10.7554/elife.13374 · Cited by 671 · cited 1×
“Moreover, lineagespecific metabolic rewiring is essential for commitment to a specific lineage (Cliff et al., 2017; Zheng et al., 2016).”
BackgroundMoussaieff, A., Rouleau, M., Kitsberg, D., Cohen, M., Levy, G., Barasch, D., Nemirovski, A., Shen-Orr, S., Laevsky, I., Amit, M., et al. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.02.002 · Cited by 666
The Role of Hypoxia in Development of the Mammalian Embryo
Dunwoodie, S. L. (2009) · Developmental Cell · doi:10.1016/j.devcel.2009.11.008 · Cited by 651
Cancer-associated IDH1 mutations produce 2-hydroxyglutarate
Dang, L., White, D. W., Gross, S., Bennett, B. D., Bittinger, M. A., Driggers, E. M., Fantin, V. R., Jang, H. G., Jin, S., Keenan, M. C., et al. (2010) · Nature · doi:10.1038/nature09132 · Cited by 613
In vivo evidence for a lactate gradient from astrocytes to neurons
Mächler, P., Wyss, M. T., Elsayed, M., Stobart, J., Gutierrez, R., von Faber-Castell, A., Kaelin, V., Zuend, M., San Martín, A., Romero-Gómez, I., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2015.10.010 · Cited by 571
Interplay between metabolic identities in the intestinal crypt supports stem cell function
Rodríguez-Colman, M. J., Schewe, M., Meerlo, M., Stigter, E., Gerrits, J., Pras-Raves, M., Sacchetti, A., Hornsveld, M., Oost, K. C., Snippert, H. J., et al. (2017) · Nature · doi:10.1038/nature21673 · Cited by 522
Oldham, W. M., Clish, C. B., Yang, Y., & Loscalzo, J. (2015) · Cell Metabolism · doi:10.1016/j.cmet.2015.06.021 · Cited by 364 · cited 3×
“Production of 2-HG can occur in cells with wild-type IDH upon exposure to hypoxia via malate dehydrogenase or via the promiscuous catalytic activity of lactate dehydrogenase (LDH) (Intlekofer et al., 2015; Oldham et al., 2015), thus affecting histone methylation (Intlekofer et al., 2015).”
BackgroundEssential Role of the Glycosyltransferase Sxc/Ogt in Polycomb Repression
Gambetta, M. C., Oktaba, K., & Müller, J. (2009) · Science · doi:10.1126/science.1169727 · Cited by 315
Glycolytic enzymes localize to synapses under energy stress to support synaptic function
Jang, S., Nelson, J. C., Bend, E. G., Rodríguez-Laureano, L., Tueros, F. G., Cartagenova, L., Underwood, K., Jorgensen, E. M., & Colón-Ramos, D. A. (2016) · Neuron · doi:10.1016/j.neuron.2016.03.011 · Cited by 270
Homem, C. C. F., Steinmann, V., Burkard, T. R., Jais, A., Esterbauer, H., & Knoblich, J. A. (2014) · Cell · doi:10.1016/j.cell.2014.06.024 · Cited by 243
Fructose-1,6-bisphosphate couples glycolytic flux to activation of Ras
Peeters, K., Van Leemputte, F., Fischer, B., Bonini, B. M., Quezada, H., Tsytlonok, M., Haesen, D., Vanthienen, W., Bernardes, N., Gonzalez-Blas, C. B., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-01019-z · Cited by 203
Almeida, A., Bolaños, J. P., & Moncada, S. (2010) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0913668107 · Cited by 166
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Redox metabolism: ROS as specific molecular regulators of cell signaling and function
Lennicke, C., & Cochemé, H. M. (2021) · Molecular Cell · doi:10.1016/j.molcel.2021.08.018 · Cited by 1,246
Revisiting the Warburg effect: historical dogma versus current understanding
Vaupel, P., & Multhoff, G. (2021) · The Journal of Physiology · doi:10.1113/jp278810 · Cited by 830
Gradients and consequences of heterogeneity in biofilms
Jo, J., Price-Whelan, A., & Dietrich, L. E. P. (2022) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00692-2 · Cited by 319
Spatial Metabolomics and Imaging Mass Spectrometry in the Age of Artificial Intelligence
Alexandrov, T. (2020) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-011420-031537 · Cited by 284
Li, F., Sami, A., Noristani, H. N., Slattery, K., Qiu, J., Groves, T., Wang, S., Veerasammy, K., Chen, Y. X., Morales, J., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.08.015 · Cited by 147
Metadata
- Authors
- Miyazawa, H., & Aulehla, A.
- Venue
- Development
- Publisher
- The Company of Biologists
- Published
- 2018-10-01
- Volume
- 145
- Issue
- 19
- ISSN
- 0950-1991 (ISSN-L)
- 1477-9129
- OpenAlex
- W2894843703
- Cited by
- 199
- References
- 26
- FWCI
- 4.94
- Type
- journal article
- Language
- en
- Open access
- hybrid
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