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Integrative Proteomics and Phosphoproteomics Profiling Reveals Dynamic Signaling Networks and Bioenergetics Pathways Underlying T Cell Activation
Open accessAbstract
The molecular circuits by which antigens activate quiescent T cells remain poorly understood. We combined temporal profiling of the whole proteome and phosphoproteome via multiplexed isobaric labeling proteomics technology, computational pipelines for integrating multi-omics datasets, and functional perturbation to systemically reconstruct regulatory networks underlying T cell activation. T cell receptors activated the T cell proteome and phosphoproteome with discrete kinetics, marked by early dynamics of phosphorylation and delayed ribosome biogenesis and mitochondrial activation. Systems biology analyses identified multiple functional modules, active kinases, transcription factors and connectivity between them, and mitochondrial pathways including mitoribosomes and complex IV. Genetic perturbation revealed physiological roles for mitochondrial enzyme COX10-mediated oxidative phosphorylation in T cell quiescence exit. Our multi-layer proteomics profiling, integrative network analysis, and functional studies define landscapes of the T cell proteome and phosphoproteome and reveal signaling and bioenergetics pathways that mediate lymphocyte exit from quiescence.
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“FOXK2 and NR4A1 are activated at 8 h based on regulon activity (Fig. 6d), which is consistent with the whole proteomics and phosphoproteomics data (Fig. 6e)76.”
From Inferring gene regulatory networks from single-cell multiome data using atlas-scale external data (2025) · cites this paper as [76]
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Cites
Global quantification of mammalian gene expression control
Schwanhäusser, B., Busse, D., Li, N., Dittmar, G., Schuchhardt, J., Wolf, J., Chen, W., & Selbach, M. (2011) · Nature · doi:10.1038/nature10098 · Cited by 6,566 · cited 1×
“Recent studies suggest that translational control plays a more dominant role than transcription for cellular abundance of proteins (Schwanhausser et al., 2011), although opposing evidence also exists (Li and Biggin, 2015).”
BackgroundPhosphoSitePlus, 2014: mutations, PTMs and recalibrations
Hornbeck, P. V., Zhang, B., Murray, B., Kornhauser, J. M., Latham, V., & Skrzypek, E. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1267 · Cited by 3,411
On the Dependency of Cellular Protein Levels on mRNA Abundance
Liu, Y., Beyer, A., & Aebersold, R. (2016) · Cell · doi:10.1016/j.cell.2016.03.014 · Cited by 3,221
Posttranscriptional 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
Defining clusters from a hierarchical cluster tree: the Dynamic Tree Cut package for R
Langfelder, P., Zhang, B., & Horvath, S. (2008) · Bioinformatics · doi:10.1093/bioinformatics/btm563 · Cited by 1,892
mTOR controls mitochondrial oxidative function through a YY1–PGC-1α transcriptional complex
Cunningham, J. T., Rodgers, J. T., Arlow, D. H., Vazquez, F., Mootha, V. K., & Puigserver, P. (2007) · Nature · doi:10.1038/nature06322 · Cited by 1,488
Architecture of the human regulatory network derived from ENCODE data
Gerstein, M., Kundaje, A. B., Hariharan, M., Landt, S. G., Yan, K., Cheng, C., Mu, X. J., Khurana, E., Rozowsky, J. S., Alexander, R. P., et al. (2012) · Nature · doi:10.1038/nature11245 · Cited by 1,451
Sena, L. A., Li, S., Jairaman, A., Prakriya, M., Ezponda, T., Hildeman, D. A., Wang, C.-R., Schumacker, P. T., Licht, J. D., Perlman, H., et al. (2013) · Immunity · doi:10.1016/j.immuni.2012.10.020 · Cited by 1,338
MitoCarta2.0: an updated inventory of mammalian mitochondrial proteins
Calvo, S. E., Clauser, K. R., & Mootha, V. K. (2016) · Nucleic Acids Research · doi:10.1093/nar/gkv1003 · Cited by 1,251
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
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Marchingo, J. M., Sinclair, L. V., Howden, A. J. M., & Cantrell, D. A. (2020) · eLife · doi:10.7554/elife.53725 · Cited by 202
Ye, L., Park, J. J.-Y., Peng, L., Yang, Q., Chow, R. D.-W., Dong, M. B., Lam, S. Z., Guo, J., Tang, E., Zhang, Y., et al. (2022) · Cell Metabolism · doi:10.1016/j.cmet.2022.02.009 · Cited by 208
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Zeng, H., & Chi, H. (2017) · Current Opinion in Immunology · doi:10.1016/j.coi.2017.04.005 · Cited by 196
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“6e) 76 .”
Renoux, F., Stellato, M., Haftmann, C., Vogetseder, A., Huang, R., Subramaniam, A., Becker, M. O., Błyszczuk, P., Becher, B., Distler, J. H. W., et al. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107826 · Cited by 109
Shi, H., Liu, C., Tan, H., Li, Y., Nguyen, T.-L. M., Dhungana, Y., Guy, C. S., Vogel, P., Neale, G. A. M., Rankin, S. L., et al. (2018) · Immunity · doi:10.1016/j.immuni.2018.10.010 · Cited by 113
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Chen, L., Zhou, M., Li, H., Liu, D., Liao, P., Yao, Z., Zhang, C., Zou, W., & Gao, J. (2023) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-023-01546-w · Cited by 88
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Wang, H., Diaz, A. K., Shaw, T. I., Li, Y., Niu, M., Cho, J.-H., Paugh, B. S., Zhang, Y., Sifford, J. M., Bai, B., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11661-4 · Cited by 69
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Su, W., Chapman, N. M., Wei, J., Zeng, H., Dhungana, Y., Shi, H., Saravia, J., Zhou, P., Long, L., Rankin, S. L., et al. (2020) · Cell Metabolism · doi:10.1016/j.cmet.2020.10.022 · Cited by 63
Self-citationChen, P., Han, X., Shaw, T. I., Fu, Y., Sun, H., Niu, M., Wang, Z., Jiao, Y., Teubner, B. J. W., Eddins, D. M., et al. (2022) · Nature Aging · doi:10.1038/s43587-022-00290-0 · Cited by 60
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Yu, J., Peng, J., & Chi, H. (2019) · Current Opinion in Systems Biology · doi:10.1016/j.coisb.2019.03.003 · Cited by 61
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Zhai, X., Liu, K., Fang, H., Zhang, Q., Gao, X., Liu, F., Zhou, S., Wang, X., Niu, Y., Hong, Y., et al. (2021) · Science Advances · doi:10.1126/sciadv.abk0490 · Cited by 53
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Kaymak, I., Watson, M. J., Oswald, B. M., Ma, S., Johnson, B. K., DeCamp, L. M., Mabvakure, B. M., Luda, K. M., Ma, E. H., Lau, K. H., et al. (2024) · The Journal of Experimental Medicine · doi:10.1084/jem.20231820 · Cited by 53
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Steinert, E. M., Bruza, B. F., Danchine, V. D., Grant, R. A., Vasan, K., Kharel, A., Zhang, Y., Cui, W., Szibor, M., Weinberg, S. E., et al. (2025) · Nature Immunology · doi:10.1038/s41590-025-02202-x · Cited by 56
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Shi, H., Yan, K., Ding, L., Qian, C., Chi, H., & Yu, J. (2020) · iScience · doi:10.1016/j.isci.2020.101354 · Cited by 51
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Aktar, N., Yueting, C., Abbas, M., Zafar, H., Paiva‐Santos, A. C., Zhang, Q., Chen, T., Ahmed, M., Raza, F., & Zhou, X. (2022) · Journal of Oncology · doi:10.1155/2022/8901326 · Cited by 58
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Mehta, M., Weinberg, S. E., Steinert, E. M., Chhiba, K. D., Martinez, C. A., Gao, P., Perlman, H., Bryce, P. J., Hay, N., & Chandel, N. S. (2018) · Cancer & Metabolism · doi:10.1186/s40170-018-0184-5 · Cited by 53
Bell, M. R., Lange, S., Sejdiu, B. I., Ibañez-Vega, J., Shi, H., Sun, X., Meng, X., Nguyen, P., Sutton, M. T., Wagner, J., et al. (2023) · Nature Biomedical Engineering · doi:10.1038/s41551-023-01143-w · Cited by 45
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Viel, S., Vivier, É., Walzer, T., & Marçais, A. (2024) · Nature Reviews Drug Discovery · doi:10.1038/s41573-024-01098-w · Cited by 53
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Toriyama, K., Kuwahara, M., Kondoh, H., Mikawa, T., Takemori, N., Konishi, A., Yorozuya, T., Yamada, T., Soga, T., Shiraishi, A., et al. (2020) · Communications Biology · doi:10.1038/s42003-020-01122-w · Cited by 51
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Miao, X., Jiang, P., Wang, Z., Kong, W., & Feng, L. (2025) · MedComm · doi:10.1002/mco2.70253 · Cited by 54
Zeng, H., Yu, M., Tan, H., Li, Y., Su, W., Shi, H., Dhungana, Y., Guy, C. S., Neale, G. A. M., Cloer, C., et al. (2018) · Science Advances · doi:10.1126/sciadv.aar5701 · Cited by 48
Self-citationRole of mitochondrial dysfunction on rheumatic diseases
Vaamonde‐García, C., & López-Armada, M. J. (2019) · Biochemical Pharmacology · doi:10.1016/j.bcp.2019.03.008 · Cited by 45
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Mazumdar, C., Driggers, E. M., & Turka, L. A. (2019) · Cell Metabolism · doi:10.1016/j.cmet.2019.11.014 · Cited by 47
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Barros, L., Ferreira, C., & Veldhoen, M. (2021) · Mucosal Immunology · doi:10.1038/s41385-021-00456-w · Cited by 47
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Wu, G., Su, T., Zhou, P., Tang, R., Zhu, X. H., Wang, J., Chao, M., Fan, L., Yan, H., Ye, P., et al. (2024) · Biomaterials · doi:10.1016/j.biomaterials.2024.122943 · Cited by 47
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Sherwani, M. K., Ruuskanen, M. O., Feldner-Busztin, D., Firbas, P., Boza, G., Móréh, Á., Borman, T., Erawijantari, P. P., Scheuring, I., Gopalakrishnan, S., et al. (2025) · Briefings in Bioinformatics · doi:10.1093/bib/bbaf502 · Cited by 48
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Jurgens, A. P., Popović, B., & Wolkers, M. C. (2021) · European Journal of Immunology · doi:10.1002/eji.202049055 · Cited by 42
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Chapman, N. M., & Chi, H. (2024) · Cell chemical biology · doi:10.1016/j.chembiol.2024.02.001 · Cited by 44
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Wang, E., Yu, K., Cao, J., Wang, M., Katsel, P., Song, W., Wang, Z., Li, Y., Wang, X., Wang, Q., et al. (2025) · Cell · doi:10.1016/j.cell.2025.08.038 · Cited by 45
Self-citationEarly effector maturation of naïve human CD8+ T cells requires mitochondrial biogenesis
Fischer, M., Bantug, G. R., Dimeloe, S., Gubser, P. M., Burgener-Gasser, A.-V., Grählert, J., Balmer, M. L., Develioglu, L., Steiner, R., Unterstab, G., et al. (2018) · European Journal of Immunology · doi:10.1002/eji.201747443 · Cited by 41
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Hu, Q., Xie, Y., Ge, Y., Nie, X., Tao, J., & Zhao, Y. B. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-0649-z · Cited by 39
Yang, W., Yu, T., & Cong, Y. (2022) · Precision Clinical Medicine · doi:10.1093/pcmedi/pbac018 · Cited by 42
Metadata
- Authors
- Tan, H., Yang, K., Li, Y., Shaw, T. I., Wang, Y., Blanco, D. B., Wang, X., Cho, J.-H., Wang, H., Rankin, S., Guy, C., Peng, J., & Chi, H.
- Affiliations
- St. Jude Children's Research Hospital (US)
- Corresponding author
- Peng, Junmin
- Chi, Hongbo
- ORCID
- Venue
- Immunity
- Publisher
- Elsevier BV
- Published
- 2017-03
- Volume
- 46
- Issue
- 3
- Pages
- 488-503
- ISSN
- 1074-7613 (ISSN-L)
- PMC
- PMC5466820
- OpenAlex
- W2593643932
- Cited by
- 372
- References
- 39
- Citations by year
- 2026: 23 · 2025: 50 · 2024: 59 · 2023: 37 · 2022: 43 · 2021: 49 · 2020: 48 · 2019: 32 · 2018: 19 · 2017: 12
- FWCI
- 14.98
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Immunity (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- NIH (AG047928, GM114260, AI101407, CA176624, AI105887, NS064599, P30CA021765)
- American Asthma Foundation
- ALSAC
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Immunology and Microbiology › Immunology › T-cell and B-cell Immunology
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Keywords
- T cell activation, T cell receptor signaling, T cell proteome, phosphorylation dynamics, ribosome biogenesis, mitochondrial activation, mitochondrial ribosome, mitochondrial complex IV, oxidative phosphorylation, COX10, T cell quiescence, bioenergetics, signaling networks, transcription factors, kinases
- MeSH terms
- Animals, Energy Metabolism, Lymphocyte Activation, Membrane Proteins, Mice, Inbred C57BL, Phosphorylation, Receptors, Antigen, T-Cell, Mass Spectrometry, T-Lymphocytes, Signal Transduction, Alkyl and Aryl Transferases, Proteomics, Mice
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