Metabolic modeling of single Th17 cells reveals regulators of autoimmunity
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Abstract
Metabolism is a major regulator of immune cell function, but it remains difficult to study the metabolic status of individual cells. Here, we present Compass, an algorithm to characterize cellular metabolic states based on single-cell RNA sequencing and flux balance analysis. We applied Compass to associate metabolic states with T helper 17 (Th17) functional variability (pathogenic potential) and recovered a metabolic switch between glycolysis and fatty acid oxidation, akin to known Th17/regulatory T cell (Treg) differences, which we validated by metabolic assays. Compass also predicted that Th17 pathogenicity was associated with arginine and downstream polyamine metabolism. Indeed, polyamine-related enzyme expression was enhanced in pathogenic Th17 and suppressed in Treg cells. Chemical and genetic perturbation of polyamine metabolism inhibited Th17 cytokines, promoted Foxp3 expression, and remodeled the transcriptome and epigenome of Th17 cells toward a Treg-like state. In vivo perturbations of the polyamine pathway altered the phenotype of encephalitogenic T cells and attenuated tissue inflammation in CNS autoimmunity.
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Mouse non-pathogenic/homeostatic and pathogenic Th17 phenotypes may mirror human Th17 subsets important for immunity against distinct bacteria and fungi.
“the non-pathogenic/homeostatic and pathogenic Th17 cell phenotypes studied in the mouse models may mirror the physiological roles of human Th17 cell subsets that are important for immunity against distinct bacteria and fungi”
From TH17 cell heterogeneity and its role in tissue inflammation (2023) · cites this paper as [65]
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
Love, M. I., Huber, W., & Anders, S. (2014) · Genome Biology · doi:10.1186/s13059-014-0550-8 · Cited by 95,106 · see citing works
Trimmomatic: a flexible trimmer for Illumina sequence data
Bolger, A. M., Lohse, M., & Usadel, B. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btu170 · Cited by 65,548 · see citing works
Fast gapped-read alignment with Bowtie 2
Langmead, B., & Salzberg, S. L. (2012) · Nature Methods · doi:10.1038/nmeth.1923 · Cited by 56,400 · see citing works
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625 · see citing works
limma powers differential expression analyses for RNA-sequencing and microarray studies
Ritchie, M. E., Phipson, B., Wu, D., Hu, Y., Law, C. W., Shi, W., & Smyth, G. K. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv007 · Cited by 40,458 · see citing works
Model-based Analysis of ChIP-Seq (MACS)
Zhang, Y., Liu, T., Meyer, C. A., Eeckhoute, J., Johnson, D. S., Bernstein, B. E., Nusbaum, C., Myers, R. M., Brown, M., Li, W., et al. (2008) · Genome Biology · doi:10.1186/gb-2008-9-9-r137 · Cited by 18,386 · see citing works
Near-optimal probabilistic RNA-seq quantification
Bray, N. L., Pimentel, H., Melsted, P., & Pachter, L. (2016) · Nature Biotechnology · doi:10.1038/nbt.3519 · Cited by 9,723 · see citing works
KEGG: new perspectives on genomes, pathways, diseases and drugs
Kanehisa, M., Furumichi, M., Tanabe, M., Sato, Y., & Morishima, K. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkw1092 · Cited by 8,865 · see citing works
Spatial reconstruction of single-cell gene expression data
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F., & Regev, A. (2015) · Nature Biotechnology · doi:10.1038/nbt.3192 · Cited by 7,055 · see citing works
Self-citationBettelli, E., Carrier, Y., Gao, W., Korn, T., Strom, T. B., Oukka, M., Weiner, H. L., & Kuchroo, V. K. (2006) · Nature · doi:10.1038/nature04753 · Cited by 6,992 · see citing works
Self-citationBuenrostro, J. D., Giresi, P. G., Zaba, L. C., Chang, H. Y., & Greenleaf, W. J. (2013) · Nature Methods · doi:10.1038/nmeth.2688 · Cited by 6,422 · see citing works
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155 · see citing works
A Unique Microglia Type Associated with Restricting Development of Alzheimer’s Disease
Keren-Shaul, H., Spinrad, A., Weiner, A., Matcovitch-Natan, O., Dvir-Szternfeld, R., Ulland, T. K., David, E., Baruch, K., Lara-Astaiso, D., Toth, B., et al. (2017) · Cell · doi:10.1016/j.cell.2017.05.018 · Cited by 5,493 · see citing works
Korn, T., Bettelli, E., Oukka, M., & Kuchroo, V. K. (2009) · Annual Review of Immunology · doi:10.1146/annurev.immunol.021908.132710 · Cited by 4,873 · see citing works
Self-citationGREAT improves functional interpretation of cis-regulatory regions
McLean, C. Y., Bristor, D., Hiller, M., Clarke, S. L., Schaar, B. T., Lowe, C. B., Wenger, A. M., & Bejerano, G. (2010) · Nature Biotechnology · doi:10.1038/nbt.1630 · Cited by 4,502 · see citing works
Evolutionarily conserved elements in vertebrate, insect, worm, and yeast genomes
Siepel, A., Bejerano, G., Pedersen, J. S., Hinrichs, A. S., Hou, M., Rosenbloom, K., Clawson, H., Spieth, J., Hillier, L. W., Richards, S., et al. (2005) · Genome Research · doi:10.1101/gr.3715005 · Cited by 4,408 · see citing works
FIMO: scanning for occurrences of a given motif
Grant, C. E., Bailey, T. L., & Noble, W. S. (2011) · Bioinformatics · doi:10.1093/bioinformatics/btr064 · Cited by 4,247 · see citing works
What is flux balance analysis?
Orth, J. D., Thiele, I., & Palsson, B. Ø. (2010) · Nature Biotechnology · doi:10.1038/nbt.1614 · Cited by 3,903 · see citing works
Veldhoen, M., Hocking, R. J., Atkins, C. J., Locksley, R. M., & Stockinger, B. (2006) · Immunity · doi:10.1016/j.immuni.2006.01.001 · Cited by 3,605 · see citing works
A guide to immunometabolism for immunologists
O'Neill, L. A. J., Kishton, R. J., & Rathmell, J. (2016) · Nature Reviews Immunology · doi:10.1038/nri.2016.70 · Cited by 3,315 · see citing works
Transforming growth factor-β induces development of the TH17 lineage
Mangan, P. R., Harrington, L. E., O'Quinn, D. B., Helms, W. S., Bullard, D. C., Elson, C. O., Hatton, R. D., Wahl, S. M., Schoeb, T. R., & Weaver, C. T. (2006) · Nature · doi:10.1038/nature04754 · Cited by 3,087 · see citing works
Cua, D. J., Sherlock, J., Chen, Y., Murphy, C. A., Joyce, B., Seymour, B., Lucian, L., To, W., Kwan, S., Churakova, T., et al. (2003) · Nature · doi:10.1038/nature01355 · Cited by 2,906 · see citing works
The Reactome Pathway Knowledgebase
Fabregat, A., Jupe, S., Matthews, L. R., Sidiropoulos, K., Gillespie, M. E., Garapati, P. V., Haw, R., Jassal, B., Korninger, F., May, B., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1132 · Cited by 2,798 · see citing works
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
Haghverdi, L., Lun, A. T. L., Morgan, M. D., & Marioni, J. C. (2018) · Nature Biotechnology · doi:10.1038/nbt.4091 · Cited by 2,416 · see citing works
Single-cell reconstruction of the early maternal–fetal interface in humans
Vento-Tormo, R., Efremova, M., Botting, R. A., Turco, M. Y., Vento-Tormo, M., Meyer, K. B., Park, J.-E., Stephenson, E., Polański, K., Goncalves, A., et al. (2018) · Nature · doi:10.1038/s41586-018-0698-6 · Cited by 2,358 · see citing works
Mills, E. L., Kelly, B., Logan, A., Costa, A. S. H., Varma, M., Bryant, C. E., Tourlomousis, P., Däbritz, J. H. M., Gottlieb, E., Latorre, I., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.064 · Cited by 2,291 · see citing works
Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C., Birney, E., Bodenmiller, B., Campbell, P., Carninci, P., Clatworthy, M., et al. (2017) · eLife · doi:10.7554/elife.27041 · Cited by 2,232 · see citing works
Self-citationPosttranscriptional Control of T Cell Effector Function by Aerobic Glycolysis
Chang, C.-H., Curtis, J. D., Maggi, L. B., Faubert, B., Villarino, A. V., O’Sullivan, D., Huang, S. C.-C., van der Windt, G. J. W., Blagih, J., Qiu, J., et al. (2013) · Cell · doi:10.1016/j.cell.2013.05.016 · Cited by 2,204 · see citing works
Self-citationZhou, L., Ivanov, I. I., Spolski, R. J., Min, R., Shenderov, K., Egawa, T., Levy, D. E., Leonard, W. J., & Littman, D. R. (2007) · Nature Immunology · doi:10.1038/ni1488 · Cited by 2,134 · see citing works
Michalek, R. D., Gerriets, V. A., Jacobs, S. R., Macintyre, A. N., MacIver, N. J., Mason, E. F., Sullivan, S. A., Nichols, A. G., & Rathmell, J. C. (2011) · The Journal of Immunology · doi:10.4049/jimmunol.1003613 · Cited by 2,091 · see citing works
Jha, A. K., Huang, S. C.-C., Sergushichev, A., Lampropoulou, V., Ivanova, Y., Loginicheva, E., Chmielewski, K., Stewart, K. M., Ashall, J., Everts, B., et al. (2015) · Immunity · doi:10.1016/j.immuni.2015.02.005 · Cited by 2,066 · see citing works
Self-citationDefining T Cell States Associated with Response to Checkpoint Immunotherapy in Melanoma
Sade-Feldman, M., Yizhak, K., Bjorgaard, S. L., Ray, J. P., de Boer, C. G., Jenkins, R. W., Lieb, D. J., Chen, J. H., Frederick, D. T., Barzily-Rokni, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.038 · Cited by 2,053 · see citing works
Single-Cell Map of Diverse Immune Phenotypes in the Breast Tumor Microenvironment
Azizi, E., Carr, A. J., Plitas, G., Cornish, A. E., Konopacki, C., Prabhakaran, S., Nainys, J., Wu, K., Kiseliovas, V., Setty, M., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.060 · Cited by 1,976 · see citing works
Ancient DNA and the rewriting of human history: be sparing with Occam’s razor
Haber, M., Mezzavilla, M., Xue, Y., & Tyler-Smith, C. (2016) · Genome Biology · doi:10.1186/s13059-015-0866-z · Cited by 1,924 · see citing works
Aggarwal, S., Ghilardi, N., Xie, M.-H., de Sauvage, F. J., & Gurney, A. L. (2003) · Journal of Biological Chemistry · doi:10.1074/jbc.m207577200 · Cited by 1,848 · see citing works
Recovering Gene Interactions from Single-Cell Data Using Data Diffusion
van Dijk, D., Sharma, R., Nainys, J., Yim, K., Kathail, P., Carr, A. J., Burdziak, C., Moon, K. R., Chaffer, C. L., Pattabiraman, D., et al. (2018) · Cell · doi:10.1016/j.cell.2018.05.061 · Cited by 1,829 · see citing works
Shi, L. Z., Wang, R., Huang, G., Vogel, P., Neale, G., Green, D. R., & Chi, H. (2011) · Journal of Experimental Medicine · doi:10.1084/jem.20110278 · Cited by 1,803 · see citing works
Romani, L. (2011) · Nature Reviews Immunology · doi:10.1038/nri2939 · Cited by 1,793 · see citing works
Immunometabolism governs dendritic cell and macrophage function
O'Neill, L. A. J., & Pearce, E. J. (2015) · The Journal of Experimental Medicine · doi:10.1084/jem.20151570 · Cited by 1,715 · see citing works
Self-citationThe Biological Functions of T Helper 17 Cell Effector Cytokines in Inflammation
Ouyang, W., Kolls, J. K., & Zheng, Y. (2008) · Immunity · doi:10.1016/j.immuni.2008.03.004 · Cited by 1,698 · see citing works
McGeachy, M. J., Bak-Jensen, K. S., Chen, Y., Tato, C. M., Blumenschein, W., McClanahan, T., & Cua, D. J. (2007) · Nature Immunology · doi:10.1038/ni1539 · Cited by 1,520 · see citing works
Phosphoenolpyruvate 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 · see citing works
Regev, A., Teichmann, S. A., Lander, E. S., Amit, I., Benoist, C. O., Birney, E., Bodenmiller, B., & al, E. (2017) · Zurich Open Repository and Archive (University of Zurich) · doi:10.5167/uzh-162597 · Cited by 1,457 · see citing works
Self-citationKhan, A., Fornés, O., Stigliani, A., Gheorghe, M., Castro-Mondragon, J. A., van der Lee, R., Bessy, A., Chèneby, J., Kulkarni, S. R., Tan, G., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1126 · Cited by 1,436 · see citing works
Generation of pathogenic TH17 cells in the absence of TGF-β signalling
Ghoreschi, K., Laurence, A., Yang, X.-P., Tato, C. M., McGeachy, M. J., Konkel, J. E., Ramos, H. L., Wei, L., Davidson, T. S., Bouladoux, N., et al. (2010) · Nature · doi:10.1038/nature09447 · Cited by 1,388 · see citing works
Fueling Immunity: Insights into Metabolism and Lymphocyte Function
Pearce, E. L., Poffenberger, M. C., Chang, C.-H., & Jones, R. G. (2013) · Science · doi:10.1126/science.1242454 · Cited by 1,363 · see citing works
Self-citationCreation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0
Heirendt, L., Arreckx, S., Pfau, T., Mendoza, S. N., Richelle, A., Heinken, A., Haraldsdóttir, H. S., Wachowiak, J., Keating, S., Vlasov, V., et al. (2019) · Nature Protocols · doi:10.1038/s41596-018-0098-2 · Cited by 1,253 · see citing works
Metabolic Regulation of T Lymphocytes
MacIver, N. J., Michalek, R. D., & Rathmell, J. C. (2013) · Annual Review of Immunology · doi:10.1146/annurev-immunol-032712-095956 · Cited by 1,244 · see citing works
Metabolic Instruction of Immunity
Buck, M. D., Sowell, R., Kaech, S. M., & Pearce, E. L. (2017) · Cell · doi:10.1016/j.cell.2017.04.004 · Cited by 1,232 · see citing works
Self-citationInduction and effector functions of TH17 cells
Bettelli, E., Korn, T., Oukka, M., & Kuchroo, V. K. (2008) · Nature · doi:10.1038/nature07036 · Cited by 1,207 · see citing works
Self-citationCritical Regulation of Early Th17 Cell Differentiation by Interleukin-1 Signaling
Chung, Y., Chang, S. H., Martínez, G., Yang, X. O., Nurieva, R., Kang, H. S., Ma, L., Watowich, S. S., Jetten, A. M., Tian, Q., et al. (2009) · Immunity · doi:10.1016/j.immuni.2009.02.007 · Cited by 1,198 · see citing works
Induction and molecular signature of pathogenic TH17 cells
Lee, Y., Awasthi, A., Yosef, N., Quintana, F. J., Xiao, S., Peters, A., Wu, C., Kleinewietfeld, M., Kunder, S., Hafler, D. A., et al. (2012) · Nature Immunology · doi:10.1038/ni.2416 · Cited by 1,174 · see citing works
Self-citationMacrophage Immunometabolism: Where Are We (Going)?
den Bossche, J. V., O'Neill, L. A. J., & Menon, D. (2017) · Trends in Immunology · doi:10.1016/j.it.2017.03.001 · Cited by 1,162 · see citing works
Van Hove, H., Martens, L., Scheyltjens, I., De Vlaminck, K., Pombo Antunes, A. R., De Prijck, S., Vandamme, N., De Schepper, S., Van Isterdael, G., Scott, C. L., et al. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0393-4 · Cited by 1,160 · see citing works
A Validated Regulatory Network for Th17 Cell Specification
Ciofani, M., Madar, A., Galan, C., Sellars, M., Mace, K., Pauli, F., Agarwal, A., Huang, W., Parkurst, C. N., Muratet, M., et al. (2012) · Cell · doi:10.1016/j.cell.2012.09.016 · Cited by 1,160 · see citing works
Corces, M. R., Buenrostro, J. D., Wu, B., Greenside, P. G., Chan, S. M., Koenig, J. L., Snyder, M. P., Pritchard, J. K., Kundaje, A., Greenleaf, W. J., et al. (2016) · Nature Genetics · doi:10.1038/ng.3646 · Cited by 1,151 · see citing works
Macintyre, A. N., Gerriets, V. A., Nichols, A., Michalek, R. D., Rudolph, M. C., Deoliveira, D., Anderson, S. M., Abel, E. D., Chen, B. J., Hale, L. P., et al. (2014) · Cell Metabolism · doi:10.1016/j.cmet.2014.05.004 · Cited by 1,129 · see citing works
Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
L. Lun, A. T., Bach, K., & Marioni, J. C. (2016) · Genome Biology · doi:10.1186/s13059-016-0947-7 · Cited by 1,108 · see citing works
Tesmer, L. A., Lundy, S. K., Sarkar, S., & Fox, D. A. (2008) · Immunological Reviews · doi:10.1111/j.1600-065x.2008.00628.x · Cited by 1,097 · see citing works
Transcriptional Heterogeneity and Lineage Commitment in Myeloid Progenitors
Paul, F., Arkin, Y., Giladi, A., Jaitin, D. A., Kenigsberg, E., Keren-Shaul, H., Winter, D., Lara-Astiaso, D., Gury, M., Weiner, A., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.013 · Cited by 1,082 · see citing works
McGeachy, M. J., Chen, Y., Tato, C. M., Laurence, A., Joyce-Shaikh, B., Blumenschein, W. M., McClanahan, T. K., O'Shea, J. J., & Cua, D. J. (2009) · Nature Immunology · doi:10.1038/ni.1698 · Cited by 1,074 · see citing works
A community-driven global reconstruction of human metabolism
Thiele, I., Swainston, N., Fleming, R. M. T., Hoppe, A., Sahoo, S., Aurich, M. K., Haraldsdottir, H., Mo, M. L., Rolfsson, O., Stobbe, M. D., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2488 · Cited by 1,019 · see citing works
Khan, A., Fornes, O., Stigliani, A., Gheorghe, M., Castro-Mondragon, J., van der Lee, R., Bessy, A., Chèneby, J., Kulkarni, S. R., Tan, G., et al. (2017) · Nucleic Acids Research · doi:10.1093/nar/gkx1188 · Cited by 973 · see citing works
Metabolic Flux Balancing: Basic Concepts, Scientific and Practical Use
Varma, A., & Palsson, B. Ø. (1994) · Nature Biotechnology · doi:10.1038/nbt1094-994 · Cited by 959 · see citing works
Exponential scaling of single-cell RNA-seq in the past decade
Svensson, V., Vento‐Tormo, R., & Teichmann, S. A. (2018) · Nature Protocols · doi:10.1038/nprot.2017.149 · Cited by 936 · see citing works
De novo fatty acid synthesis controls the fate between regulatory T and T helper 17 cells
Berod, L., Friedrich, C., Nandan, A., Freitag, J., Hagemann, S., Harmrolfs, K., Sandouk, A., Hesse, C., Castro, C. N., Bähre, H., et al. (2014) · Nature Medicine · doi:10.1038/nm.3704 · Cited by 927 · see citing works
Lactate modulation of immune responses in inflammatory versus tumour microenvironments
Certo, M., Tsai, C.-H., Pucino, V., Ho, P.-C., & Mauro, C. (2021) · Nature Reviews Immunology · doi:10.1038/s41577-020-0406-2 · Cited by 924 · see citing works
Pathogen-induced human TH17 cells produce IFN-γ or IL-10 and are regulated by IL-1β
Zielinski, C. E., Mele, F., Aschenbrenner, D., Jarrossay, D., Ronchi, F., Gattorno, M., Monticelli, S., Lanzavecchia, A., & Sallusto, F. (2012) · Nature · doi:10.1038/nature10957 · Cited by 919 · see citing works
A cellular census of human lungs identifies novel cell states in health and in asthma
Vieira Braga, F. A., Kar, G., Berg, M., Carpaij, O. A., Polanski, K., Simon, L. M., Brouwer, S., Gomes, T., Hesse, L., Jiang, J., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0468-5 · Cited by 896 · see citing works
Polyamine metabolism and cancer: treatments, challenges and opportunities
Casero, R. A., Stewart, T. M., & Pegg, A. E. (2018) · Nature reviews. Cancer · doi:10.1038/s41568-018-0050-3 · Cited by 826 · see citing works
Unraveling the Complex Interplay Between T Cell Metabolism and Function
Geltink, R. I. K., Kyle, R. L., & Pearce, E. L. (2018) · Annual Review of Immunology · doi:10.1146/annurev-immunol-042617-053019 · Cited by 821 · see citing works
Self-citationConstraint-based models predict metabolic and associated cellular functions
Bordbar, A., Monk, J. M., King, Z. A., & Palsson, B. Ø. (2014) · Nature Reviews Genetics · doi:10.1038/nrg3643 · Cited by 818 · see citing works
Scaling single-cell genomics from phenomenology to mechanism
Tanay, A., & Regev, A. (2017) · Nature · doi:10.1038/nature21350 · Cited by 792 · see citing works
Self-citationAerobic 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 · see citing works
Jäger, A., Dardalhon, V., Sobel, R. A., Bettelli, E., & Kuchroo, V. K. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0901906 · Cited by 783 · see citing works
Self-citationConstraining the metabolic genotype–phenotype relationship using a phylogeny of in silico methods
Lewis, N. E., Nagarajan, H., & Palsson, B. O. (2012) · Nature Reviews Microbiology · doi:10.1038/nrmicro2737 · Cited by 779 · see citing works
Omic data from evolved E. coli are consistent with computed optimal growth from genome‐scale models
Lewis, N. E., Hixson, K. K., Conrad, T. M., Lerman, J. A., Charusanti, P., Polpitiya, A. D., Adkins, J., Schramm, G., Purvine, S. O., López‐Ferrer, D., et al. (2010) · Molecular Systems Biology · doi:10.1038/msb.2010.47 · Cited by 757 · see citing works
Metabolic coordination of T cell quiescence and activation
Chapman, N. M., Boothby, M. R., & Chi, H. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0203-y · Cited by 749 · see citing works
Succinate: a metabolic signal in inflammation
Mills, E., & O’Neill, L. A. J. (2014) · Trends in Cell Biology · doi:10.1016/j.tcb.2013.11.008 · Cited by 741 · see citing works
Metabolic programming and PDHK1 control CD4+ T cell subsets and inflammation
Gerriets, V. A., Kishton, R. J., Nichols, A., Macintyre, A. N., Inoue, M., Ilkayeva, O., Winter, P. S., Liu, X., Priyadharshini, B., Slawinska, M. E., et al. (2014) · Journal of Clinical Investigation · doi:10.1172/jci76012 · Cited by 729 · see citing works
SAVER: gene expression recovery for single-cell RNA sequencing
Huang, M. C., Wang, J., Torre, E. A., Dueck, H., Shaffer, S. M., Bonasio, R., Murray, J. I., Raj, A., Li, M., & Zhang, N. R. (2018) · Nature Methods · doi:10.1038/s41592-018-0033-z · Cited by 725 · see citing works
Using Genome-scale Models to Predict Biological Capabilities
O’Brien, E. J., Monk, J. M., & Palsson, B. Ø. (2015) · Cell · doi:10.1016/j.cell.2015.05.019 · Cited by 709 · see citing works
Distinct Regulation of Th17 and Th1 Cell Differentiation by Glutaminase-Dependent Metabolism
Johnson, M. O., Wolf, M. M., Madden, M. Z., Andrejeva, G., Sugiura, A., Contreras, D. C., Maseda, D., Liberti, M. V., Paz, K. G., Kishton, R. J., et al. (2018) · Cell · doi:10.1016/j.cell.2018.10.001 · Cited by 702 · see citing works
Th17 Cell Differentiation: The Long and Winding Road
McGeachy, M. J., & Cua, D. J. (2008) · Immunity · doi:10.1016/j.immuni.2008.03.001 · Cited by 700 · see citing works
Dynamic regulatory network controlling TH17 cell differentiation
Yosef, N., Shalek, A. K., Gaublomme, J. T., Jin, H., Lee, Y., Awasthi, A., Wu, C., Karwacz, K., Xiao, S., Jorgolli, M., et al. (2013) · Nature · doi:10.1038/nature11981 · Cited by 682 · see citing works
Self-citationMetabolic control of cell death
Green, D. R., Galluzzi, L., & Kroemer, G. (2014) · Science · doi:10.1126/science.1250256 · Cited by 661 · see citing works
Hypoxia-inducible factors enhance the effector responses of CD8(+) T cells to persistent antigen
Doedens, A. L., Phan, A. T., Stradner, M. H., Fujimoto, J. K., Nguyen, J. V., Yang, E., Johnson, R. S., & Goldrath, A. W. (2013) · Nature Immunology · doi:10.1038/ni.2714 · Cited by 660 · see citing works
Metabolites and the Tumour Microenvironment: From Cellular Mechanisms to Systemic Metabolism
Elia, I., & Haigis, M. C. (2021) · Nature Metabolism · doi:10.1038/s42255-020-00317-z · Cited by 651 · see citing works
Self-citationNetwork-based prediction of human tissue-specific metabolism
Shlomi, T., Cabili, M. N., Herrgård, M. J., Palsson, B. Ø., & Ruppin, E. (2008) · Nature Biotechnology · doi:10.1038/nbt.1487 · Cited by 637 · see citing works
Revealing the vectors of cellular identity with single-cell genomics
Wagner, A., Regev, A., & Yosef, N. (2016) · Nature Biotechnology · doi:10.1038/nbt.3711 · Cited by 632 · see citing works
Self-citationFinlay, D. K., Rosenzweig, E., Sinclair, L. V., Feijoo-Carnero, C., Hukelmann, J. L., Rolf, J., Panteleyev, A. A., Okkenhaug, K., & Cantrell, D. A. (2012) · Journal of Experimental Medicine · doi:10.1084/jem.20112607 · Cited by 596 · see citing works
Context-Specific Metabolic Networks Are Consistent with Experiments
Becker, S. A., & Palsson, B. Ø. (2008) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1000082 · Cited by 594 · see citing works
Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity
Brown, C. C., Gudjonson, H., Pritykin, Y., Deep, D., Lavallée, V., Mendoza, A., Fromme, R. M., Mažutis, L., Ariyan, C. E., Leslie, C. S., et al. (2019) · Cell · doi:10.1016/j.cell.2019.09.035 · Cited by 582 · see citing works
Single-cell genomics unveils critical regulators of Th17 cell pathogenicity
Gaublomme, J. T., Yosef, N., Lee, Y., Gertner, R. S., Yang, L. V., Wu, C., Pandolfi, P. P., Mak, T., Satija, R., Shalek, A. K., et al. (2015) · Cell · doi:10.1016/j.cell.2015.11.009 · Cited by 575 · see citing works
Self-citationSpatiotemporal structure of cell fate decisions in murine neural crest
Soldatov, R., Kaucka, M., Kastriti, M. E., Petersen, J., Chontorotzea, T., Englmaier, L., Akkuratova, N., Yang, Y., Häring, M., Dyachuk, V., et al. (2019) · Science · doi:10.1126/science.aas9536 · Cited by 546 · see citing works
Pucino, V., Certo, M., Bulusu, V., Cucchi, D., Goldmann, K., Pontarini, E., Haas, R., Smith, J., Headland, S. E., Blighe, K., et al. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.10.004 · Cited by 538 · see citing works
The Treg/Th17 Axis: A Dynamic Balance Regulated by the Gut Microbiome
Omenetti, S., & Pizarro, T. T. (2015) · Frontiers in Immunology · doi:10.3389/fimmu.2015.00639 · Cited by 529 · see citing works
Focused specificity of intestinal TH17 cells towards commensal bacterial antigens
Yang, Y., Torchinsky, M. B., Gobert, M., Xiong, H., Xu, M., Linehan, J. L., Alonzo, F., Ng, C., Chen, A., Lin, X., et al. (2014) · Nature · doi:10.1038/nature13279 · Cited by 520 · see citing works
Foundations of Immunometabolism and Implications for Metabolic Health and Disease
Hotamışlıgil, G. S. (2017) · Immunity · doi:10.1016/j.immuni.2017.08.009 · Cited by 515 · see citing works
Single-Cell Transcriptomics of Regulatory T Cells Reveals Trajectories of Tissue Adaptation
Miragaia, R. J., Gomes, T., Chomka, A., Jardine, L., Riedel, A., Hegazy, A. N., Whibley, N., Tucci, A., Chen, X., Lindeman, I., et al. (2019) · Immunity · doi:10.1016/j.immuni.2019.01.001 · Cited by 499 · see citing works
Pearce, E. J., & Everts, B. (2014) · Nature reviews. Immunology · doi:10.1038/nri3771 · Cited by 482 · see citing works
Self-citationImmunometabolism at the interface between macrophages and pathogens
Russell, D. G., Huang, L., & VanderVen, B. C. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0124-9 · Cited by 461 · see citing works
Immunometabolism and natural killer cell responses
O’Brien, K., & Finlay, D. K. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0139-2 · Cited by 435 · see citing works
Halofuginone Inhibits T H 17 Cell Differentiation by Activating the Amino Acid Starvation Response
Sundrud, M. S., Koralov, S. B., Feuerer, M., Calado, D. P., Kozhaya, A. E., Rhule-Smith, A., Lefebvre, R. E., Unutmaz, D., Mazitschek, R., Waldner, H., et al. (2009) · Science · doi:10.1126/science.1172638 · Cited by 422 · see citing works
A Distinct Gene Module for Dysfunction Uncoupled from Activation in Tumor-Infiltrating T Cells
Singer, M., Wang, C., Cong, L., Marjanovic, N. D., Kowalczyk, M. S., Zhang, H., Nyman, J., Sakuishi, K., Kurtuluş, S., Gennert, D. G., et al. (2016) · Cell · doi:10.1016/j.cell.2016.08.052 · Cited by 414 · see citing works
Self-citationMetaCell: analysis of single-cell RNA-seq data using K-nn graph partitions
Baran, Y., Bercovich, A., Sebé-Pedrós, A., Lubling, Y., Giladi, A., Chomsky, E., Meir, Z., Hoichman, M., Lifshitz, A., & Tanay, A. (2019) · Genome biology · doi:10.1186/s13059-019-1812-2 · Cited by 407 · see citing works
The dichotomous nature of T helper 17 cells
Stockinger, B., & Omenetti, S. (2017) · Nature reviews. Immunology · doi:10.1038/nri.2017.50 · Cited by 399 · see citing works
Raud, B., Roy, D. G., Divakaruni, A. S., Tarasenko, T. N., Franke, R., Ma, E. H., Samborska, B., Hsieh, W. Y., Wong, A., Stüve, P., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.06.002 · Cited by 389 · see citing works
CD5L/AIM Regulates Lipid Biosynthesis and Restrains Th17 Cell Pathogenicity
Wang, C., Yosef, N., Gaublomme, J. T., Wu, C., Lee, Y., Clish, C. B., Kaminski, J., Xiao, S., zu Hörste, G. M., Pawlak, M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.10.068 · Cited by 387 · see citing works
Self-citationImmunometabolism: From basic mechanisms to translation
Makowski, L., Chaib, M., & Rathmell, J. C. (2020) · Immunological Reviews · doi:10.1111/imr.12858 · Cited by 378 · see citing works
Cutting Edge: IL-23 Receptor GFP Reporter Mice Reveal Distinct Populations of IL-17-Producing Cells
Awasthi, A., Riol‐Blanco, L., Jäger, A., Korn, T., Pot, C., Galileos, G., Bettelli, E., Kuchroo, V. K., & Oukka, M. (2009) · The Journal of Immunology · doi:10.4049/jimmunol.0900732 · Cited by 365 · see citing works
Self-citationEtomoxir Inhibits Macrophage Polarization by Disrupting CoA Homeostasis
Divakaruni, A. S., Hsieh, W. Y., Minarrieta, L., Duong, T., Kim, K. K. O., Desousa, B. R., Andreyev, A. Y., Bowman, C. E., Caradonna, K. L., Dranka, B. P., et al. (2018) · Cell Metabolism · doi:10.1016/j.cmet.2018.06.001 · Cited by 364 · see citing works
Spermidine/spermine- N 1 -acetyltransferase: a key metabolic regulator
Pegg, A. E. (2008) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.90217.2008 · Cited by 351 · see citing works
Metabolism as a guiding force for immunity
Jung, J., Zeng, H., & Horng, T. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0217-x · Cited by 345 · see citing works
Immunometabolism of regulatory T cells
Newton, R. H., Priyadharshini, B., & Turka, L. A. (2016) · Nature Immunology · doi:10.1038/ni.3466 · Cited by 328 · see citing works
BASiCS: Bayesian Analysis of Single-Cell Sequencing Data
Vallejos, C. A., Marioni, J. C., & Richardson, S. (2015) · PLOS Computational Biology · doi:10.1371/journal.pcbi.1004333 · Cited by 302 · see citing works
Xiao, S., Yosef, N., Yang, J., Wang, Y., Zhou, L., Zhu, C. Y., Wu, C., Baloglu, E., Schmidt, D. R., Ramesh, R., et al. (2014) · Immunity · doi:10.1016/j.immuni.2014.04.004 · Cited by 277 · see citing works
Self-citationConti, H. R., Peterson, A. C., Brane, L., Huppler, A. R., Hernández-Santos, N., Whibley, N., Garg, A. V., Simpson-Abelson, M. R., Gibson, G. A., Mamo, A. J., et al. (2014) · Journal of Experimental Medicine · doi:10.1084/jem.20130877 · Cited by 254 · see citing works
Functional interpretation of single cell similarity maps
DeTomaso, D., Jones, M. G., Subramaniam, M., Ashuach, T., Ye, C., & Yosef, N. (2019) · Nature Communications · doi:10.1038/s41467-019-12235-0 · Cited by 251 · see citing works
Self-citationThe Treg/Th17 Cell Balance: A New Paradigm for Autoimmunity
Eisenstein, E. M., & Williams, C. B. (2009) · Pediatric Research · doi:10.1203/pdr.0b013e31819e76c7 · Cited by 232 · see citing works
Deconstructing Olfactory Stem Cell Trajectories at Single-Cell Resolution
Fletcher, R. B., Das, D., Gadye, L., Street, K., Baudhuin, A., Wagner, A., Cole, M. B., Flores-Ramirez, Q., Choi, Y. G., Yosef, N., et al. (2017) · Cell stem cell · doi:10.1016/j.stem.2017.04.003 · Cited by 229 · see citing works
Self-citationElimination of Thermodynamically Infeasible Loops in Steady-State Metabolic Models
Schellenberger, J., Lewis, N. E., & Palsson, B. Ø. (2011) · Biophysical Journal · doi:10.1016/j.bpj.2010.12.3707 · Cited by 216 · see citing works
Metabolic control of the Treg/Th17 axis
Barbi, J. J., Pardoll, D. M., & Pan, F. (2013) · Immunological Reviews · doi:10.1111/imr.12029 · Cited by 215 · see citing works
Metabolic heterogeneity underlies reciprocal fates of TH17 cell stemness and plasticity
Karmaus, P. W. F., Chen, X., Lim, S. A., Herrada, A. A., Nguyen, T.-L. M., Xu, B., Dhungana, Y., Rankin, S., Chen, W., Rosencrance, C., et al. (2019) · Nature · doi:10.1038/s41586-018-0806-7 · Cited by 215 · see citing works
Modification of Proteins by Metabolites in Immunity
Diskin, C., Ryan, T. A. J., & O'Neill, L. A. J. (2020) · Immunity · doi:10.1016/j.immuni.2020.09.014 · Cited by 214 · see citing works
Systems Biology: Constraint-based Reconstruction and Analysis
Palsson, B. Ø. (2015) · doi:10.1017/cbo9781139854610 · Cited by 210 · see citing works
A Systematic Evaluation of Methods for Tailoring Genome-Scale Metabolic Models
Opdam, S., Richelle, A., Kellman, B. P., Li, S., Zielinski, D. C., & Lewis, N. E. (2017) · Cell Systems · doi:10.1016/j.cels.2017.01.010 · Cited by 209 · see citing works
Wu, P., Peters, J. M., & Harris, R. A. (2001) · Biochemical and Biophysical Research Communications · doi:10.1006/bbrc.2001.5608 · Cited by 206 · see citing works
ORegAnno 3.0: a community-driven resource for curated regulatory annotation
Lesurf, R., Cotto, K. C., Wang, G., Griffith, M., Kasaian, K., Jones, S. J. M., Montgomery, S. B., Griffith, O. L., & The Open Regulatory Annotation Consortium (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1203 · Cited by 201 · see citing works
Optimizing genome-scale network reconstructions
Monk, J. M., Nogales, J., & Palsson, B. Ø. (2014) · Nature Biotechnology · doi:10.1038/nbt.2870 · Cited by 200 · see citing works
Th17 cytokines in mucosal immunity and inflammation
Guglani, L., & Khader, S. A. (2010) · Current Opinion in HIV and AIDS · doi:10.1097/coh.0b013e328335c2f6 · Cited by 186 · see citing works
Starvation Increases the Amount of Pyruvate Dehydrogenase Kinase in Several Mammalian Tissues
Wu, P., Blair, P. V., Sato, J., Jaskiewicz, J. A., Popov, K. M., & Harris, R. A. (2000) · Archives of Biochemistry and Biophysics · doi:10.1006/abbi.2000.1946 · Cited by 181 · see citing works
Performance Assessment and Selection of Normalization Procedures for Single-Cell RNA-Seq
Cole, M. B., Risso, D., Wagner, A., DeTomaso, D., Ngai, J., Purdom, E., Dudoit, S., & Yosef, N. (2019) · Cell Systems · doi:10.1016/j.cels.2019.03.010 · Cited by 173 · see citing works
Self-citationBiphasic Dynamics of Macrophage Immunometabolism during Mycobacterium tuberculosis Infection
Shi, L., Jiang, Q., Bushkin, Y., Subbian, S., & Tyagi, S. (2019) · mBio · doi:10.1128/mbio.02550-18 · Cited by 169 · see citing works
Dysfunctional T cell metabolism in the tumor microenvironment
Beckermann, K. E., Dudzinski, S. O., & Rathmell, J. C. (2017) · Cytokine & Growth Factor Reviews · doi:10.1016/j.cytogfr.2017.04.003 · Cited by 159 · see citing works
Zanini, F., Robinson, M., Croote, D., Sahoo, M. K., Sanz, A. M., Ortiz-Lasso, E., Albornóz, L. L., Rosso, F., Montoya, J. G., Goo, L., et al. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1813819115 · Cited by 157 · see citing works
Critical role of histone demethylase Jmjd3 in the regulation of CD4+ T-cell differentiation
Li, Q., Zou, J., Wang, M., Ding, X., Chepelev, I., Zhou, X., Zhao, W., Wei, G., Cui, J., Zhao, K., et al. (2014) · Nature Communications · doi:10.1038/ncomms6780 · Cited by 156 · see citing works
Gemta, L. F., Siska, P. J., Nelson, M. E., Gao, X., Liu, X., Locasale, J. W., Yagita∥, H., Slingluff, C. L., Hoehn, K. L., Rathmell, J. C., et al. (2019) · Science Immunology · doi:10.1126/sciimmunol.aap9520 · Cited by 155 · see citing works
Wang, Q., Liberti, M. V., Liu, P., Deng, X., Liu, Y., Locasale, J. W., & Lai, L. (2017) · Cell Chemical Biology · doi:10.1016/j.chembiol.2016.11.013 · Cited by 147 · see citing works
Ancillary Activity: Beyond Core Metabolism in Immune Cells
Puleston, D. J., Villa, M., & Pearce, E. L. (2017) · Cell Metabolism · doi:10.1016/j.cmet.2017.06.019 · Cited by 146 · see citing works
Self-citationJell, J., Merali, S., Hensen, M. L., Mazurchuk, R. V., Spernyak, J. A., Diegelman, P., Kisiel, N. D., Barrero, C. A., Deeb, K. K., Alhonen, L. I., et al. (2006) · Journal of Biological Chemistry · doi:10.1074/jbc.m610265200 · Cited by 138 · see citing works
Insight Into Non-Pathogenic Th17 Cells in Autoimmune Diseases
Wu, X., Tian, J., & Wang, S. (2018) · Frontiers in Immunology · doi:10.3389/fimmu.2018.01112 · Cited by 138 · see citing works
K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq dataPreprint
Wagner, F., Yan, Y., & Yanai, I. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/217737 · Cited by 134 · see citing works
Karouzakis, E., Gay, R. E., Gay, S., & Neidhart, M. (2011) · Arthritis & Rheumatism · doi:10.1002/art.34340 · Cited by 133 · see citing works
Mounce, B. C., Poirier, E. Z., Passoni, G., Simon‐Lorière, E., Cesaro, T., Prot, M., Stapleford, K. A., Moratorio, G., Sakuntabhai, A., Levraud, J., et al. (2016) · Cell Host & Microbe · doi:10.1016/j.chom.2016.06.011 · Cited by 128 · see citing works
IL-17 signaling in host defense against Candida albicans
Gaffen, S. L., Hernández‐Santos, N., & Peterson, A. (2011) · Immunologic Research · doi:10.1007/s12026-011-8226-x · Cited by 120 · see citing works
Systems biology constraint-based reconstruction and analysis
Palsson, B. Ø. (n.d.) · Cited by 117 · see citing works
Pompura, S. L., Wagner, A., Kitz, A., Laperche, J. M., Yosef, N., Dominguez‐Villar, M., & Hafler, D. A. (2020) · Journal of Clinical Investigation · doi:10.1172/jci138519 · Cited by 115 · see citing works
Self-citationLiu, Z., Cao, W., Xu, L., Chen, X., Zhan, Y., Yang, Q., Liu, S., Chen, P., Jiang, Y., Sun, X., et al. (2015) · Journal of Molecular Cell Biology · doi:10.1093/jmcb/mjv022 · Cited by 114 · see citing works
Integration of single-cell RNA-seq data into population models to characterize cancer metabolism
Damiani, C., Maspero, D., Filippo, M. D., Colombo, R., Pescini, D., Graudenzi, A., Westerhoff, H. V., Alberghina, L., Vanoni, M., & Mauri, G. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006733 · Cited by 114 · see citing works
Pyruvate kinase M2 is requisite for Th1 and Th17 differentiation
Kono, M., Maeda, K., Stocton-Gavanescu, I., Pan, W., Umeda, M., Katsuyama, E., Burbano, C., Orite, S. Y. K., Vukelic, M., Tsokos, M., et al. (2019) · JCI Insight · doi:10.1172/jci.insight.127395 · Cited by 101 · see citing works
From Network Analysis to Functional Metabolic Modeling of the Human Gut Microbiota
Bauer, E., & Thiele, I. (2018) · mSystems · doi:10.1128/msystems.00209-17 · Cited by 88 · see citing works
Revealing dynamics of gene expression variability in cell state space
Grün, D. (2019) · Nature Methods · doi:10.1038/s41592-019-0632-3 · Cited by 86 · see citing works
Moshe, N. B. B., Hen‐Avivi, S., Levitin, N., Yehezkel, D., Oosting, M., Joosten, L. A. B., Netea, M. G., & Avraham, R. (2019) · Nature Communications · doi:10.1038/s41467-019-11257-y · Cited by 85 · see citing works
Fine tuning of immunometabolism for the treatment of rheumatic diseases
Rhoads, J. P., Major, A. S., & Rathmell, J. C. (2017) · Nature Reviews Rheumatology · doi:10.1038/nrrheum.2017.54 · Cited by 80 · see citing works
Pyruvate dehydrogenase phosphatase catalytic subunit 2 limits Th17 differentiation
Kono, M., Yoshida, N., Maeda, K., Skinner, N., Pan, W., Kyttaris, V. C., Tsokos, M., & Tsokos, G. C. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805717115 · Cited by 77 · see citing works
Adler, M., Kohanim, Y. K., Tendler, A., Mayo, A., & Alon, U. S. (2019) · Cell Systems · doi:10.1016/j.cels.2018.12.008 · Cited by 72 · see citing works
Increased Polyamines Alter Chromatin and Stabilize Autoantigens in Autoimmune Diseases
Brooks, W. H. (2013) · Frontiers in Immunology · doi:10.3389/fimmu.2013.00091 · Cited by 64 · see citing works
Reenergizing T cell anti-tumor immunity by harnessing immunometabolic checkpoints and machineries
Ho, P., & Kaech, S. M. (2017) · Current Opinion in Immunology · doi:10.1016/j.coi.2017.04.003 · Cited by 61 · see citing works
Determinants of Tissue-Specific Metabolic Adaptation of T Cells
Varanasi, S. K., Kumar, S. V., & Rouse, B. T. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.013 · Cited by 49 · see citing works
Immunometabolism in the Tumor Microenvironment
Roy, D. G., Kaymak, I., Williams, K. S., Ma, E. H., & Jones, R. G. (2020) · Annual Review of Cancer Biology · doi:10.1146/annurev-cancerbio-030518-055817 · Cited by 48 · see citing works
Bowlin, T. L., McKown, B. J., & Sunkara, P. S. (1987) · Immunopharmacology · doi:10.1016/0162-3109(87)90051-8 · Cited by 26 · see citing works
Unexpected Targets and Triggers of Autoimmunity
Lee, Y., Collins, M. A., & Kuchroo, V. K. (2014) · Journal of Clinical Immunology · doi:10.1007/s10875-014-0040-5 · Cited by 15 · see citing works
Self-citationRegulation of Ornithine Decarboxylase in the Kidney of Autoimmune Mice with the lpr Gene
Hsu, H., Seibold, J. R., & Thomas, T. (1994) · Autoimmunity · doi:10.3109/08916939409071351 · Cited by 12 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- O’Brien EJ, Monk JM, and Palsson BO (2015b). Using Genome-scale Models to Predict Biological Capabilities. Cell 161, 971– 987. 26000478 PMC4451052
- Orth JD, Thiele I, and Palsson BO (2010b). What is flux balance analysis? Nat. Biotechnol 28, 245– 248. 20212490 PMC3108565
Cited by
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Holbert, C. E., Cullen, M., Casero, R. A., & Stewart, T. M. (2022) · Nature reviews. Cancer · doi:10.1038/s41568-022-00473-2 · Cited by 370 · see citing works
Principles and therapeutic applications of adaptive immunity
Chi, H., Pepper, M., & Thomas, P. G. (2024) · Cell · doi:10.1016/j.cell.2024.03.037 · Cited by 363 · see citing works
Metabolic adaptation of lymphocytes in immunity and disease
Chapman, N. M., & Chi, H.-B. (2022) · Immunity · doi:10.1016/j.immuni.2021.12.012 · Cited by 263 · see citing works
TH17 cell heterogeneity and its role in tissue inflammation
Schnell, A., Littman, D. R., & Kuchroo, V. K. (2023) · Nature Immunology · doi:10.1038/s41590-022-01387-9 · Cited by 286 · see citing works
Self-citationStem-like intestinal Th17 cells give rise to pathogenic effector T cells during autoimmunity
Schnell, A., Huang, L., Singer, M., Singaraju, A., Barilla, R. M., Regan, B. M. L., Bollhagen, A., Thakore, P. I., Dionne, D., Delorey, T. M., et al. (2021) · Cell · doi:10.1016/j.cell.2021.11.018 · Cited by 268 · see citing works
Self-citationA graph neural network model to estimate cell-wise metabolic flux using single-cell RNA-seq dataPreprint
Alghamdi, N., Chang, W., Dang, P., Lu, X., Wan, C., Gampala, S., Huang, Z., Wang, J., Ma, Q., Zang, Y., et al. (2021) · Genome Research · doi:10.1101/gr.271205.120 · Cited by 255 · see citing works
Uzquiano, A., Kedaigle, A. J., Pigoni, M., Paulsen, B. D. S., Adiconis, X., Kim, K., Faits, T., Nagaraja, S., Antón-Bolaños, N., Gerhardinger, C., et al. (2022) · Cell · doi:10.1016/j.cell.2022.09.010 · Cited by 250 · see citing works
Self-citationCellular metabolism regulates the differentiation and function of T-cell subsets
Ma, S., Ming, Y., Wu, J., & Cui, G. (2024) · Cellular and Molecular Immunology · doi:10.1038/s41423-024-01148-8 · Cited by 255 · see citing works
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Wu, H., González-Villalobos, R. A., Yao, X., Reilly, D. F., Chen, T., Rankin, M. M., Myshkin, E., Breyer, M. D., & Humphreys, B. D. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.05.010 · Cited by 247 · see citing works
Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma
Kirschenbaum, D. S., Xie, K., Ingelfinger, F., Katzenelenbogen, Y., Abadie, K., Look, T., Sheban, F., Phan, T. S., Li, B., Zwicky, P., et al. (2023) · Cell · doi:10.1016/j.cell.2023.11.032 · Cited by 217 · see citing works
Self-citationMechanisms of spermidine-induced autophagy and geroprotection
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RORγt protein modifications and IL-17-mediated inflammation
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Bader, J. E., Wolf, M. M., Lupica-Tondo, G. L., Madden, M. Z., Reinfeld, B. I., Arner, E. N., Hathaway, E. S., Steiner, K. K., Needle, G. A., Hatem, Z., et al. (2024) · Nature · doi:10.1038/s41586-024-07529-3 · Cited by 169 · see citing works
Pathogenesis and treatment of Sjogren’s syndrome: Review and update
Zhan, Q., Zhang, J., Lin, Y., Chen, W., Fan, X., & Zhang, D. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1127417 · Cited by 163 · see citing works
The role of Th17 cells in inflammatory bowel disease and the research progress
Chen, L., Ruan, G., Cheng, Y., Yi, A., Chen, D., & Wei, Y. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2022.1055914 · Cited by 155 · see citing works
Aso, K., Kono, M., Kanda, M., Kudo, Y., Sakiyama, K., Hisada, R., Karino, K., Ueda, Y., Nakazawa, D., Fujieda, Y., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-36594-x · Cited by 141 · see citing works
Zhao, L., Zhang, X., Zhou, Y., Fu, K., Lau, H. C.-H., Chun, T. W.-Y., Cheung, A. H. K., Coker, O. O., Wei, H., Wu, W. K. K., et al. (2022) · Oncogene · doi:10.1038/s41388-022-02395-7 · Cited by 142 · see citing works
Ornithine aminotransferase supports polyamine synthesis in pancreatic cancer
Lee, M.-S., Dennis, C., Naqvi, I., Dailey, L., Lorzadeh, A., Ye, G., Zaytouni, T., Adler, A., Hitchcock, D. S., Lin, L., et al. (2023) · Nature · doi:10.1038/s41586-023-05891-2 · Cited by 137 · see citing works
Self-citationAn exhausted-like microglial population accumulates in aged and APOE4 genotype Alzheimer’s brains
Millet, A., Ledo, J. H., & Tavazoie, S. F. (2024) · Immunity · doi:10.1016/j.immuni.2023.12.001 · Cited by 132 · see citing works
Microbial Metabolites and Gut Immunology
Takeuchi, T., Nakanishi, Y., & Ohno, H. (2024) · Annual Review of Immunology · doi:10.1146/annurev-immunol-090222-102035 · Cited by 130 · see citing works
The roles of arginases and arginine in immunity
Canè, S., Geiger, R., & Bronte, V. (2024) · Nature reviews. Immunology · doi:10.1038/s41577-024-01098-2 · Cited by 135 · see citing works
The significant role of amino acid metabolic reprogramming in cancer
Liu, X., Ren, B., Ren, J., Gu, M., You, L., & Zhao, Y.-P. (2024) · Cell Communication and Signaling · doi:10.1186/s12964-024-01760-1 · Cited by 135 · see citing works
Tumor-associated macrophages are shaped by intratumoral high potassium via Kir2.1
Chen, S., Cui, W., Chi, Z., Xiao, Q., Hu, T., Ye, Q., Zhu, K., Yu, W., Wang, Z., Yu, C., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.08.016 · Cited by 121 · see citing works
Coupled analysis of transcriptome and BCR mutations reveals role of OXPHOS in affinity maturation
Chen, D., Wang, Y., Vijay, G. K. M., Fu, S., Nash, C. W., Xu, D., He, D., Salomonis, N., Singh, H., & Xu, H. (2021) · Nature Immunology · doi:10.1038/s41590-021-00936-y · Cited by 118 · see citing works
Characterizing cancer metabolism from bulk and single-cell RNA-seq data using METAFlux
Huang, Y., Mohanty, V., Dede, M., Tsai, K., Daher, M., Li, L., Rezvani, K., & Chen, K. (2023) · Nature Communications · doi:10.1038/s41467-023-40457-w · Cited by 118 · see citing works
Brockmann, L., Tran, A., Huang, Y., Edwards, M., Ronda, C., Wang, H. H., & Ivanov, I. I. (2023) · Immunity · doi:10.1016/j.immuni.2023.11.003 · Cited by 112 · see citing works
The role of polyamine metabolism in cellular function and physiology
Schibalski, R. S., Shulha, A. S., Tsao, B. P., Palygin, O., & Ilatovskaya, D. V. (2024) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00074.2024 · Cited by 107 · see citing works
Subudhi, I., Konieczny, P., Prystupa, A., Castillo, R., Sze-Tu, E., Xing, Y., Rosenblum, D., Reznikov, I., Sidhu, I., Loomis, C. A., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.04.022 · Cited by 109 · see citing works
Urea cycle activation triggered by host-microbiota maladaptation driving colorectal tumorigenesis
Chen, H., Tong, T., Lu, S., Ji, L., Xuan, B., Zhao, G., Yan, Y., Song, L., Zhao, L., Xie, Y., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.03.003 · Cited by 106 · see citing works
Regulatory mechanisms of one-carbon metabolism enzymes
Petrova, B., Maynard, A. G., Wang, P., & Kanarek, N. (2023) · Journal of Biological Chemistry · doi:10.1016/j.jbc.2023.105457 · Cited by 103 · see citing works
Metabolic waypoints during T cell differentiation
Wilfahrt, D. N., & Delgoffe, G. M. (2024) · Nature Immunology · doi:10.1038/s41590-023-01733-5 · Cited by 104 · see citing works
Rewiring mitochondrial metabolism to counteract exhaustion of CAR-T cells
Huang, Y., Si, X., Shao, M., Teng, X., Xiao, G., & Huang, H. (2022) · Journal of Hematology & Oncology · doi:10.1186/s13045-022-01255-x · Cited by 101 · see citing works
An LKB1–mitochondria axis controls TH17 effector function
Baixauli, F., Piletič, K., Puleston, D. J., Villa, M., Field, C. S., Flachsmann, L. J., Quintana, A., Rana, N., Edwards-Hicks, J., Matsushita, M., et al. (2022) · Nature · doi:10.1038/s41586-022-05264-1 · Cited by 100 · see citing works
Self-citationData analysis guidelines for single-cell RNA-seq in biomedical studies and clinical applications
Su, M., Pan, T., Chen, Q.-Z., Zhou, W., Gong, Y., Xu, G., Yan, H.-Y., Li, S., Shi, Q.-Z., Zhang, Y., et al. (2022) · Military Medical Research · doi:10.1186/s40779-022-00434-8 · Cited by 103 · see citing works
Selective remodelling of the adipose niche in obesity and weight loss
Miranda, A. M. A., McAllan, L., Mazzei, G., Andrew, I., Davies, I., Ertuğrul, M. S., Kenkre, J. S., Kudo, H., Carrelha, J., Patel, B., et al. (2025) · Nature · doi:10.1038/s41586-025-09233-2 · Cited by 107 · see citing works
Nutrients: Signal 4 in T cell immunity
Raynor, J. L., & Chi, H. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20221839 · Cited by 94 · see citing works
Zhi, Y., Wang, Q., Zi, M., Zhang, S., Ge, J., Liu, K., Lu, L., Fan, C., Yan, Q., Shi, L., et al. (2024) · Advanced Science · doi:10.1002/advs.202306515 · Cited by 87 · see citing works
INTEGRATE: Model-based multi-omics data integration to characterize multi-level metabolic regulation
Filippo, M. D., Pescini, D., Galuzzi, B. G., Bonanomi, M., Gaglio, D., Mangano, E., Consolandi, C., Alberghina, L., Vanoni, M., & Damiani, C. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009337 · Cited by 80 · see citing works
Guimarães, G. R., Maklouf, G. R., Teixeira, C. E., Santos, L. D. O., Tessarollo, N. G., de Toledo, N. E., Serain, A. F., de Lanna, C. A., Pretti, M. A. M., da Cruz, J. G. V., et al. (2024) · Nature Communications · doi:10.1038/s41467-024-49916-4 · Cited by 85 · see citing works
Chen, X., Jaiswal, A., Costliow, Z. A., Herbst, P., Creasey, E. A., Oshiro-Rapley, N., Daly, M. J., Carey, K. L., Graham, D. B., & Xavier, R. J. (2022) · Nature Immunology · doi:10.1038/s41590-022-01231-0 · Cited by 79 · see citing works
Sodium perturbs mitochondrial respiration and induces dysfunctional Tregs
Côrte‐Real, B. F., Hamad, I., Hornero, R. A., Geisberger, S., Roels, J., Zeebroeck, L. V., Dyczko, A., van Gisbergen, M. W., Kurniawan, H., Wagner, A., et al. (2023) · Cell Metabolism · doi:10.1016/j.cmet.2023.01.009 · Cited by 77 · see citing works
Self-citationNakhle, J., Khattar, K., Özkan, T., Boughlita, A., Moussa, D. A., Darlix, A., Lorcy, F., Rigau, V., Bauchet, L., Gerbal‐Chaloin, S., et al. (2023) · Cancer Research Communications · doi:10.1158/2767-9764.crc-23-0144 · Cited by 76 · see citing works
Polyamine metabolism controls B-to-Z DNA transition to orchestrate DNA sensor cGAS activity
Zhao, C., Ma, Y., Zhang, M., Gao, X., Liang, W., Qin, Y., Fu, Y., Jia, M., Song, H., Gao, C., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.09.012 · Cited by 77 · see citing works
Polyamine Immunometabolism: Central Regulators of Inflammation, Cancer and Autoimmunity
Chia, T.-Y., Zolp, A. J., & Miska, J. M. (2022) · Cells · doi:10.3390/cells11050896 · Cited by 75 · see citing works
Lian, J., Liang, Y., Zhang, H., Lan, M., Ye, Z., Lin, B., Qiu, X., & Zeng, J. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.912279 · Cited by 73 · see citing works
Sen, P., & Orešič, M. (2023) · Metabolites · doi:10.3390/metabo13070855 · Cited by 74 · see citing works
Targeting the immune privilege of tumor-initiating cells to enhance cancer immunotherapy
Yang, C. G., Geng, H., Yang, X., Ji, S., Liu, Z., Feng, H., Li, Q., Zhang, T., Zhang, S., Ma, X., et al. (2024) · Cancer Cell · doi:10.1016/j.ccell.2024.10.008 · Cited by 74 · see citing works
Self-citationMEBOCOST maps metabolite-mediated intercellular communications using single-cell RNA-seq
Zheng, R., Zhang, Y., Tsuji, T., Gao, X., Shamsi, F., Wagner, A., Yosef, N., Cui, K., Chen, H., Kiebish, M. A., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkaf569 · Cited by 68 · see citing works
Self-citationEffects of lactate on metabolism and differentiation of CD4+T cells
Zhang, Y., Xing, M.-L., Fang, H.-H., Li, W., Wu, L., & Chen, Z. (2023) · Molecular Immunology · doi:10.1016/j.molimm.2022.12.015 · Cited by 69 · see citing works
Cellular spermine targets JAK signaling to restrain cytokine-mediated autoimmunity
Xu, H., Zhang, X., Wang, X., Li, B., Yu, H., Quan, Y., Jiang, Y., You, Y., Wang, Y., Wen, M., et al. (2024) · Immunity · doi:10.1016/j.immuni.2024.05.025 · Cited by 70 · see citing works
Toward modeling metabolic state from single-cell transcriptomics
Hrovatin, K., Fischer, D. S., & Theis, F. J. (2021) · Molecular Metabolism · doi:10.1016/j.molmet.2021.101396 · Cited by 68 · see citing works
Advances and applications in single-cell and spatial genomics
Wang, J., Ye, F., Chai, H., Jiang, Y., Wang, T., Ran, X., Xia, Q., Xu, Z., Fu, Y., Zhang, G., et al. (2024) · Science China Life Sciences · doi:10.1007/s11427-024-2770-x · Cited by 69 · see citing works
Gustafsson, J., Anton, M., Roshanzamir, F., Jörnsten, R. J., Kerkhoven, E. J., Robinson, J. L., & Nielsen, J. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2217868120 · Cited by 63 · see citing works
Yeast9: a consensus genome-scale metabolic model for S. cerevisiae curated by the community
Zhang, C., Sánchez, B. J., Li, F., Eiden, C. W. Q., Scott, W. T., Liebal, U. W., Blank, L. M., Mengers, H. G., Anton, M., Rangel, A. E. T., et al. (2024) · Molecular Systems Biology · doi:10.1038/s44320-024-00060-7 · Cited by 70 · see citing works
Systems-based approaches to study immunometabolism
Purohit, V., Wagner, A., Yosef, N., & Kuchroo, V. K. (2022) · Cellular and Molecular Immunology · doi:10.1038/s41423-021-00783-9 · Cited by 62 · see citing works
Self-citationMetabolism Characteristics of Th17 and Regulatory T Cells in Autoimmune Diseases
Qin, Y., Gao, C., & Luo, J. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.828191 · Cited by 62 · see citing works
Shi, C., Zhang, J., Wang, H., Chen, C., Han, M., Gao, L., Tang, C., Sun, P., Zhao, X., Guo, F., et al. (2022) · Advanced Materials · doi:10.1002/adma.202210262 · Cited by 60 · see citing works
CD4+ T cell immunity is dependent on an intrinsic stem-like program
Zou, D., Yin, Z., Yi, S. G., Wang, G., Guo, Y., Xiao, X., Li, S., Zhang, X., Gonzalez, N. M., Minze, L. J., et al. (2024) · Nature Immunology · doi:10.1038/s41590-023-01682-z · Cited by 60 · see citing works
Gut Microbial-Derived Metabolites as Immune Modulators of T Helper 17 and Regulatory T Cells
Calvo‐Barreiro, L., Zhang, L., Abdel‐Rahman, S. A., Naik, S. P., & Gabr, M. T. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms24021806 · Cited by 61 · see citing works
Gut Microbial Metabolites on Host Immune Responses in Health and Disease
Yoon, J.-H., Do, J.-S., Velankanni, P., Lee, C., & Kwon, H. (2023) · Immune Network · doi:10.4110/in.2023.23.e6 · Cited by 61 · see citing works
Fibroblasts in immune responses, inflammatory diseases and therapeutic implications
Zou, A. E., Kongthong, S., Mueller, A. A., & Brenner, M. B. (2025) · Nature Reviews Rheumatology · doi:10.1038/s41584-025-01259-0 · Cited by 62 · see citing works
Chang, H.-W., Lee, E. M., Wang, Y., Zhou, C., Pruss, K. M., Henrissat, S., Chen, R. Y., Kao, C.-Y., Hibberd, M. C., Lynn, H. M., et al. (2024) · Nature Microbiology · doi:10.1038/s41564-024-01628-7 · Cited by 60 · see citing works
Immunometabolism at the Heart of Cardiovascular Disease
DeBerge, M., Chaudhary, R. K., Schroth, S. L., & Thorp, E. B. (2023) · JACC Basic to Translational Science · doi:10.1016/j.jacbts.2022.12.010 · Cited by 57 · see citing works
Thakore, P. I., Schnell, A., Zhao, M., Huang, L., Hou, Y., Christian, E., Zaghouani, S., Wang, C., Singh, V., Ma, S., et al. (2022) · doi:10.1101/2022.02.26.482041 · Cited by 57 · see citing works
Self-citationSpatiotemporal metabolomic approaches to the cancer-immunity panorama: a methodological perspective
Xiao, Y., Li, Y., & Zhao, H. (2024) · Molecular Cancer · doi:10.1186/s12943-024-02113-9 · Cited by 59 · see citing works
Genome-scale models in human metabologenomics
Mardinoglu, A., & Palsson, B. Ø. (2025) · Nature Reviews Genetics · doi:10.1038/s41576-024-00768-0 · Cited by 54 · see citing works
Meyer, T., Shimon, D., Youssef, S., Yankovitz, G., Tessler, A., Chernobylsky, T., Gaoni-Yogev, A., Perelroizen, R., Budick-Harmelin, N., Steinman, L., et al. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2211310119 · Cited by 54 · see citing works
Franchina, D. G., Kurniawan, H., Grusdat, M., Binsfeld, C., Guerra, L., Bonetti, L., Soriano‐Baguet, L., Ewen, A., Kobayashi, T., Farinelle, S., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-29426-x · Cited by 52 · see citing works
Research progress of targeted therapy regulating Th17/Treg balance in bone immune diseases
Wang, X.-X., Sun, B., Wang, Y., Gao, P., Song, J., Chang, W., Xiao, Z., Xi, Y., Li, Z., An, F.-Y., et al. (2024) · Frontiers in Immunology · doi:10.3389/fimmu.2024.1333993 · Cited by 59 · see citing works
Hu, H., Li, H., Li, R., Liu, P., & Liu, H. (2024) · Journal of Translational Medicine · doi:10.1186/s12967-024-05450-x · Cited by 54 · see citing works
Machine learning for the advancement of genome-scale metabolic modeling
Kundu, P., Beura, S., Mondal, S., Das, A. K., & Ghosh, A. (2024) · Biotechnology Advances · doi:10.1016/j.biotechadv.2024.108400 · Cited by 52 · see citing works
Li, Q., Xiao, Y., Han, L., Luo, W., Dai, W., Fang, H., Wang, R., Xu, Y., Cai, S., Goel, A., et al. (2025) · Nature Cancer · doi:10.1038/s43018-025-00910-9 · Cited by 51 · see citing works
Treg cell: Critical Role of Regulatory T-cells in Depression.
Gao, X., Tang, Y.-R., Kong, L.-L., Fan, Y., Wang, C.-X., & Wang, R. (2023) · Pharmacological Research · doi:10.1016/j.phrs.2023.106893 · Cited by 48 · see citing works
Self-citationInduction of a colitogenic phenotype in Th1-like cells depends on interleukin-23 receptor signaling
Pawlak, M., DeTomaso, D., Schnell, A., Meyer zu Horste, G., Lee, Y., Nyman, J., Dionne, D., Regan, B. M. L., Singh, V., Delorey, T., et al. (2022) · Immunity · doi:10.1016/j.immuni.2022.08.007 · Cited by 49 · see citing works
Self-citationGAB functions as a bioenergetic and signalling gatekeeper to control T cell inflammation
Kang, S., Liu, L., Wang, T., Cannon, M. V., Lin, P., Fan, T. W. ‐., Scott, D. A., Wu, H.-J. J., Lane, A. N., & Wang, R. (2022) · Nature Metabolism · doi:10.1038/s42255-022-00638-1 · Cited by 49 · see citing works
Bassler, K. E., Fujii, W., Kapellos, T. S., Dudkin, E., Reusch, N., Horne, A., Reiz, B., Luecken, M. D., Osei-Sarpong, C., Warnat‐Herresthal, S., et al. (2022) · Frontiers in Immunology · doi:10.3389/fimmu.2022.917232 · Cited by 51 · see citing works
Self-citationHong, M. M. Y., & Vareki, S. M. (2022) · Cancers · doi:10.3390/cancers14061580 · Cited by 49 · see citing works
Innate and adaptive immune abnormalities underlying autoimmune diseases: the genetic connections
Chi, X., Huang, M., Tu, H., Zhang, B., Lin, X., Xu, H., Dong, C., & Hu, X. (2023) · Science China Life Sciences · doi:10.1007/s11427-021-2187-3 · Cited by 45 · see citing works
Johnson, A., Laterra, J., & López-Bertoni, H. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.995498 · Cited by 42 · see citing works
The astrocyte-produced growth factor HB-EGF limits autoimmune CNS pathology
Linnerbauer, M., Lößlein, L., Vandrey, O., Peter, A., Han, Y., Tsaktanis, T., Wogram, E., Needhamsen, M., Kular, L., Nagel, L., et al. (2024) · Nature Immunology · doi:10.1038/s41590-024-01756-6 · Cited by 42 · see citing works
Peng, V., Cao, S. “., Tršan, T., Bando, J. K., Ávila-Pacheco, J., Cleveland, J. L., Clish, C. B., Xavier, R. J., & Colonna, M. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2214900119 · Cited by 41 · see citing works
Self-citationDivergent metabolic programmes control two populations of MAIT cells that protect the lung
Riffelmacher, T., Murray, M. P., Wientjens, C., Chandra, S., Castelan, V. O. C., Chou, T.-F., McArdle, S., Dillingham, C. H., Devereaux, J., Nilsen, A., et al. (2023) · Nature Cell Biology · doi:10.1038/s41556-023-01152-6 · Cited by 41 · see citing works
Targeting gut microbiota: new therapeutic opportunities in multiple sclerosis
Kujawa, D., Łaczmański, Ł., Budrewicz, S. P., Pokryszko‐Dragan, A., & Podbielska, M. (2023) · Gut Microbes · doi:10.1080/19490976.2023.2274126 · Cited by 44 · see citing works
Metabolic rewiring and communication in cancer immunity
Chapman, N. M., & Chi, H. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.02.001 · Cited by 43 · see citing works
Puniya, B. L., Verma, M., Damiani, C., Bakr, S. H., & Dräger, A. (2024) · Bioinformatics Advances · doi:10.1093/bioadv/vbae090 · Cited by 41 · see citing works
Synergistic role of gut-microbial L-ornithine in enhancing ustekinumab efficacy for Crohn’s disease
Wang, Z., Li, T. X., Jiang, Y., Ning, L., Zhu, X., Chen, X., Xuan, B., Zhou, Y., Ding, J., Ma, Y., et al. (2025) · Cell Metabolism · doi:10.1016/j.cmet.2025.01.007 · Cited by 41 · see citing works
Wang, L., Li, S., Wang, K., Wang, N., Liu, Q., Sun, Z., Wang, L., Wang, L., Liu, Q., Song, C., et al. (2023) · Immunity · doi:10.1016/j.immuni.2023.01.001 · Cited by 41 · see citing works
Tumor-produced ammonia is metabolized by regulatory T cells to further impede anti-tumor immunity
Gu, J., Yu, L., Chen, Q., Song, Z., Qian, Q., Liang, Y., Huang, T., Qiao, L., Li, X., Yu, M., et al. (2025) · Cell · doi:10.1016/j.cell.2025.11.034 · Cited by 40 · see citing works
Systems Immunology Approaches to Metabolism
Mogilenko, D. A., Sergushichev, A., & Artyomov, M. N. (2023) · Annual Review of Immunology · doi:10.1146/annurev-immunol-101220-031513 · Cited by 39 · see citing works
Wang, X., Huang, R., Wu, W., Xiong, J., Wen, Q., Zeng, Y., Chen, T., Li, J., Zhang, C., Zhong, J. F., et al. (2022) · Acta Biomaterialia · doi:10.1016/j.actbio.2022.11.007 · Cited by 38 · see citing works
Maintenance of Enteral ACE2 Prevents Diabetic Retinopathy in Type 1 Diabetes
Prasad, R., Floyd, J. L., Dupont, M., Harbour, A., Adu-Agyeiwaah, Y., Asare‐Bediako, B., Chakraborty, D., Kichler, K., Rohella, A., Calzi, S. L., et al. (2022) · Circulation Research · doi:10.1161/circresaha.122.322003 · Cited by 40 · see citing works
Chu, W., Peng, W., Lu, Y., Liu, Y., Li, Q., Wang, H., Wang, L., Zhang, B., Liu, Z., Han, L., et al. (2024) · Advanced Science · doi:10.1002/advs.202403177 · Cited by 39 · see citing works
WWP2 Regulates Renal Fibrosis and the Metabolic Reprogramming of Profibrotic Myofibroblasts
Chen, H., You, R., Guo, J., Zhou, W., Chew, G., Devapragash, N., Loh, J. Z., Gesualdo, L., Li, Y., Jiang, Y., et al. (2024) · Journal of the American Society of Nephrology · doi:10.1681/asn.0000000000000328 · Cited by 38 · see citing works
Methyltransferase Setd2 prevents T cell–mediated autoimmune diseases via phospholipid remodeling
Chen, Y., Chen, K., Zhu, H., Qin, H., Liu, J., & Cao, X. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2314561121 · Cited by 36 · see citing works
Chowdhury, N. U., Cephus, J.-Y., Pilier, E. H., Wolf, M. M., Madden, M. Z., Kuehnle, S. N., McKernan, K. E., Jennings, E. Q., Arner, E. N., Heintzman, D. R., et al. (2024) · Journal of Clinical Investigation · doi:10.1172/jci177242 · Cited by 36 · see citing works
Decoding Aging Hallmarks at the Single-Cell Level
Ma, S., Chi, X., Cai, Y., Ji, Z., Wang, S., Ren, J., & Liu, G. (2023) · Annual Review of Biomedical Data Science · doi:10.1146/annurev-biodatasci-020722-120642 · Cited by 37 · see citing works
Immunometabolic reprogramming, another cancer hallmark
Kumar, V., & Stewart, J. H. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1125874 · Cited by 36 · see citing works
Tillett, B. J., Dwiyanto, J., Secombe, K. R., George, T., Zhang, V., Anderson, D., Duggan, E., Giri, R., Loo, D., Stoll, T., et al. (2025) · Nature Communications · doi:10.1038/s41467-025-58319-y · Cited by 40 · see citing works
Ren, H., Chen, Y., Zhu, Z., Xia, J., Liu, S., Hu, Y., Qin, X., Zhang, L., Ding, Y., Xia, S., et al. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-05879-w · Cited by 34 · see citing works
- Authors
- Wagner, A., Wang, C., Fessler, J., DeTomaso, D., Avila-Pacheco, J., Kaminski, J., Zaghouani, S., Christian, E., Thakore, P., Schellhaass, B., Akama-Garren, E., Pierce, K., Singh, V., Ron-Harel, N., Douglas, V. P., Bod, L., Schnell, A., Puleston, D., Sobel, R. A., Haigis, M., Pearce, E. L., Soleimani, M., Clish, C., Regev, A., Kuchroo, V. K., & Yosef, N.
- Affiliations
- University of California, Berkeley (US)
- Broad Institute (US)
- Brigham and Women's Hospital (US)
- Massachusetts Eye and Ear Infirmary (US)
- Max Planck Institute of Immunobiology and Epigenetics (DE)
- VA Palo Alto Health Care System (US)
- Harvard University (US)
- University of New Mexico (US)
- Ragon Institute of MGH, MIT and Harvard (US)
- Corresponding author
- Wang, Chao
- Kuchroo, Vijay K.
- Yosef, Nir
- ORCID
- Wagner, Allon
- Wang, Chao
- Fessler, Johannes
- DeTomaso, David
- Zaghouani, Sarah
- Christian, Elena
- Pierce, Kerry
- Singh, Vasundhara
- Douglas, Vivian Paraskevi
- Bod, Lloyd
- Schnell, Alexandra
- Puleston, Daniel
- Sobel, Raymond A.
- Haigis, Marcia
- Pearce, Erika L.
- Soleimani, Manoocher
- Clish, Clary
- Regev, Aviv
- Kuchroo, Vijay K.
- Yosef, Nir
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2021-08
- Volume
- 184
- Issue
- 16
- Pages
- 4168-4185.e21
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC8621950
- OpenAlex
- W3174064560
- Cited by
- 524
- References
- 163
- Citations by year
- 2026: 105 · 2025: 118 · 2024: 111 · 2023: 92 · 2022: 75 · 2021: 18 · 2020: 4
- FWCI
- 27.61
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 369 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Cell (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Chan Zuckerberg Initiative
- Australian Academy of Science
- Österreichischen Akademie der Wissenschaften
- NIH
- Canada First Research Excellence Fund (P01AI039671, P01AI056299, P01AI073748, R01AI144166, R01NS045937, RO1NS30843, TA-1605-08590)
- National Multiple Sclerosis Society
- National Institute of Mental Health (NIH5U19MH114821)
- Topics
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Immunology and Microbiology › Immunology › Psoriasis: Treatment and Pathogenesis
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- Th17 cells, cellular metabolism, flux balance analysis, glycolysis, fatty acid oxidation, regulatory T cells, polyamine metabolism, arginine metabolism, Foxp3, central nervous system autoimmunity, multiple sclerosis, encephalitogenic T cells
- MeSH terms
- Epigenome, Diamine N-Acetyltransferase, Acetyltransferases, Adenosine Triphosphate, Aerobiosis, Algorithms, Eflornithine, Animals, Chromatin, Citric Acid Cycle, Encephalomyelitis, Autoimmune, Experimental, Fatty Acids, Glycolysis, Mice, Inbred C57BL, Models, Biological, Oxidation-Reduction, Putrescine, Autoimmunity, Cytokines, Mitochondrial Membrane Transport Proteins, T-Lymphocytes, Regulatory, Mice, Jumonji Domain-Containing Histone Demethylases, Th17 Cells, Single-Cell Analysis, Transcriptome
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