Measures of epitope binding degeneracy from T cell receptor repertoires
Adaptive immunity is driven by specific binding of hyper-variable receptors to diverse molecular targets. The sequence diversity of receptors and targets are both individually known but, because multiple receptors can recognize the same target, a measure of the effective 'functional' diver...
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| Abstract | Adaptive immunity is driven by specific binding of hyper-variable receptors to diverse molecular targets. The sequence diversity of receptors and targets are both individually known but, because multiple receptors can recognize the same target, a measure of the effective 'functional' diversity of the human immune system has remained elusive. Here, we show that sequence near-coincidences within T cell receptors that bind specific epitopes provide a new window into this problem, and allow the quantification of how binding probability co-varies with sequence. We find that near-coincidence statistics within epitope-specific repertoires imply a measure of binding degeneracy to amino acid changes in receptor sequence that is consistent across disparate experiments. Paired data on both chains of the heterodimeric receptor are particularly revealing since simultaneous near-coincidences are rare and we show how they can be exploited to estimate the number of epitope responses that created the memory compartment. In addition, we find that paired-chain coincidences are strongly suppressed across donors with different human leukocyte antigens, evidence for a central role of antigen-driven selection in making paired chain receptors public. These results demonstrate the power of coincidence analysis to reveal the sequence determinants of epitope binding in receptor repertoires.Competing Interest StatementThe authors have declared no competing interest.Footnotes* The text has been revised to give additional intuition and to increase clarity. |
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| AbstractList | Adaptive immunity is driven by specific binding of hyper-variable receptors to diverse molecular targets. The sequence diversity of receptors and targets are both individually known but, because multiple receptors can recognize the same target, a measure of the effective ‘functional’ diversity of the human immune system has remained elusive. Here, we show that sequence near-coincidences within T cell receptors that bind specific epitopes provide a new window into this problem, and allow the quantification of how binding probability co-varies with sequence. We find that near-coincidence statistics within epitope-specific repertoires imply a measure of binding degeneracy to amino acid changes in receptor sequence that is consistent across disparate experiments. Paired data on both chains of the heterodimeric receptor are particularly revealing since simultaneous near-coincidences are rare and we show how they can be exploited to estimate the number of epitope responses that created the memory compartment. In addition, we find that paired-chain coincidences are strongly suppressed across donors with different human leukocyte antigens, evidence for a central role of antigen-driven selection in making paired chain receptors public. These results demonstrate the power of coincidence analysis to reveal the sequence determinants of epitope binding in receptor repertoires. Adaptive immunity is driven by specific binding of hyper-variable receptors to diverse molecular targets. The sequence diversity of receptors and targets are both individually known but, because multiple receptors can recognize the same target, a measure of the effective 'functional' diversity of the human immune system has remained elusive. Here, we show that sequence near-coincidences within T cell receptors that bind specific epitopes provide a new window into this problem, and allow the quantification of how binding probability co-varies with sequence. We find that near-coincidence statistics within epitope-specific repertoires imply a measure of binding degeneracy to amino acid changes in receptor sequence that is consistent across disparate experiments. Paired data on both chains of the heterodimeric receptor are particularly revealing since simultaneous near-coincidences are rare and we show how they can be exploited to estimate the number of epitope responses that created the memory compartment. In addition, we find that paired-chain coincidences are strongly suppressed across donors with different human leukocyte antigens, evidence for a central role of antigen-driven selection in making paired chain receptors public. These results demonstrate the power of coincidence analysis to reveal the sequence determinants of epitope binding in receptor repertoires.Competing Interest StatementThe authors have declared no competing interest.Footnotes* The text has been revised to give additional intuition and to increase clarity. |
| Author | Mayer, Andreas Callan, Curtis G |
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| DOI | 10.1101/2022.07.25.501373 |
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| Keywords | repertoire sequencing specificity receptor-ligand binding T cells |
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| References | Rossjohn, Gras, Miles, Turner, Godfrey, McCluskey (2022.07.25.501373v2.8) 2015; 33 Mora, Walczak (2022.07.25.501373v2.29) 2019 Tareen, Kinney (2022.07.25.501373v2.66) 2020; 36 Tanno, Gould, Mcdaniel, Cao, Tanno, Durrett (2022.07.25.501373v2.30) 2020; 117 Chao, Gotelli, Hsieh, Sander, Ma, Colwell, Ellison (2022.07.25.501373v2.46) 2014; 84 Arora, Burke, Arnaout (2022.07.25.501373v2.57) 2018 Elhanati, Sethna, Callan, Mora, Walczak (2022.07.25.501373v2.39) 2018; 284 Simpson (2022.07.25.501373v2.36) 1949; 163 Leinster, Cobbold (2022.07.25.501373v2.38) 2012; 93 Coles, Mulvaney, Malla, Walker, Smith, Lloyd, Lowe, McCully, Martinez Hague, Aleksic (2022.07.25.501373v2.10) 2020; 204 Minervina, Komech, Titov, Koraichi, Rosati, Mamedov, Franke, Efimov, Chudakov, Mora (2022.07.25.501373v2.16) 2021; 10 Jost (2022.07.25.501373v2.45) 2006 Fischer, Wu, Schubert, Theis (2022.07.25.501373v2.23) 2020; 16 Carter, Preall, Grigaityte, Goldfless, Jeffery, Briggs, Vigneault, Atwal (2022.07.25.501373v2.54) 2019; 10 Xu, Kula, Xu, Li, Vernon, Ndung’u, Ruxrungtham, Sanchez, Brander, Chung (2022.07.25.501373v2.52) 2015; 348 Li, Moysey, Molloy, Vuidepot, Mahon, Baston, Dunn, Liddy, Jacob, Jakobsen (2022.07.25.501373v2.13) 2005; 23 Robinson, Halliwell, Hayhurst, Flicek, Parham, Marsh (2022.07.25.501373v2.28) 2015; 43 Godfrey, Uldrich, Mccluskey, Rossjohn, Moody (2022.07.25.501373v2.50) 2015 Gruta, Gras, Daley, Thomas, Rossjohn (2022.07.25.501373v2.53) 2018 Lande (2022.07.25.501373v2.44) 1996; 76 Sethna, Isacchini, Dupic, Mora, Walczak, Elhanati (2022.07.25.501373v2.67) 2020; 16 Gielis, Moris, Bittremieux, De Neuter, Ogunjimi, Laukens, Meysman (2022.07.25.501373v2.22) 2019; 10 Heather, Ismail, Oakes, Chain (2022.07.25.501373v2.4) 2017; 19 Sewell (2022.07.25.501373v2.27) 2012; 12 Zhang, Hawkins, He, Gupta, Liu, Choonoo, Jeong, Chen, Dhanik, Dillon (2022.07.25.501373v2.24) 2021; 7 Mudd, Minervina, Pogorelyy, Turner, Kim, Kalaidina, Petersen, Schmitz, Lei, Haile (2022.07.25.501373v2.62) 2022; 185 Farmer, Packard, Perelson (2022.07.25.501373v2.68) 1986; 22 Venturi, Price, Douek, Davenport (2022.07.25.501373v2.47) 2008; 8 Klinger, Pepin, Wilkins, Asbury, Wittkop, Zheng, Moorhead, Faham (2022.07.25.501373v2.40) 2015; 10 Emerson, DeWitt, Vignali, Gravley, Hu, Osborne, Desmarais, Klinger, Carlson, Hansen (2022.07.25.501373v2.3) 2017; 49 Bravi, Balachandran, Greenbaum, Walczak, Mora, Monasson, Cocco (2022.07.25.501373v2.26) 2021; 17 Kosmrlj, Jha, Huseby, Kardar, Chakraborty (2022.07.25.501373v2.42) 2008; 105 Gaimann, Nguyen, Desponds, Mayer (2022.07.25.501373v2.49) 2020; 9 Buchholz, Flossdorf, Hensel, Kretschmer, Weissbrich, Gräf, Verschoor, Schiemann, Höfer, Busch (2022.07.25.501373v2.31) 2013; 340 Montemurro, Schuster, Povlsen, Bentzen, Jurtz, Chronister, Crinklaw, Hadrup, Winther, Peters (2022.07.25.501373v2.25) 2021; 4 Dupic, Marcou, Walczak, Mora (2022.07.25.501373v2.33) 2019; 15 Jaffe, Shahi, Adams, Chrisman, Finnegan, Raman, Royall, Tsai, Vollbrecht, Reyes (2022.07.25.501373v2.41) 2022; 611 Glanville, Huang, Nau, Hatton, Wagar, Rubelt, Ji, Han, Krams, Pettus (2022.07.25.501373v2.19) 2017; 547 Bradley, Thomas (2022.07.25.501373v2.5) 2019; 37 Shcherbinin, Belousov, Shugay (2022.07.25.501373v2.34) 2020; 16 Garcia, Degano, Stanfield, Brunmark, Jackson, Peterson, Teyton, Wilson (2022.07.25.501373v2.6) 1996; 274 Pogorelyy, Elhanati, Marcou, Sycheva, Komech, Nazarov, Britanova, Chudakov, Mamedov, Lebedev (2022.07.25.501373v2.48) 2017; 13 Jensen, Rantos, Jappe, Olsen, Jespersen, Jurtz, Jessen, Lanzarotti, Mahajan, Peters (2022.07.25.501373v2.65) 2019; 9 Holler, Holman, Shusta, Herrin, Wittrup, Kranz (2022.07.25.501373v2.12) 2000; 97 Zareie, Szeto, Farenc, Gunasinghe, Kolawole, Nguyen, Blyth, Sng, Li, Jones (2022.07.25.501373v2.11) 2021; 372 Huang, Wang, Rubelt, Scriba, Davis (2022.07.25.501373v2.21) 2020; 38 Nolan, Vignali, Klinger, Dines, Kaplan, Craft, Boland, Mazza, Dobbs (2022.07.25.501373v2.15) 2020 Murugan, Mora, Walczak, Callan (2022.07.25.501373v2.35) 2012; 109 Johnson, Seale, Gittelman, Rytlewski, Robins, Fields (2022.07.25.501373v2.51) 2021; 16 Pogorelyy, Rosati, Minervina, Mettelman, Scheffold, Franke, Bacher, Thomas (2022.07.25.501373v2.63) 2022 Jankauskaite, Jiménez-García, Dapkunas, Fernández-Recio, Moal (2022.07.25.501373v2.56) 2019; 35 Nunnikhoven (2022.07.25.501373v2.37) 1992; 46 Tickotsky, Sagiv, Prilusky, Shifrut, Friedman (2022.07.25.501373v2.64) 2017; 33 Gerlach, Rohr, Perié, Van Rooij, Van Heijst, Velds, Urbanus, Naik, Jacobs, Beltman (2022.07.25.501373v2.32) 2013; 340 Vujović, Marcatili, Chain, Kaplinsky, Andresen (2022.07.25.501373v2.61) 2021 Bacher, Rosati, Esser, Koehler, Franke, Scheffold (2022.07.25.501373v2.18) 2020; 53 Minervina, Pogorelyy, Kirk, Crawford, Allen, Chou, Mettelman, Allison, Lin, Brice (2022.07.25.501373v2.17) 2022; 23 George, Kessler, Levine (2022.07.25.501373v2.43) 2017 Dash, Fiore-Gartland, Hertz, Wang, Sharma, Souquette, Crawford, Clemens, Nguyen, Kedzierska (2022.07.25.501373v2.14) 2017; 547 Song, Gil, Mishra, Ghersi, Selin, Stern (2022.07.25.501373v2.9) 2017; 24 Cassotta, Paparoditis, Geiger, Mettu, Landry, Donati, Benevento, Foglierini, Lewis, Lanzavecchia (2022.07.25.501373v2.59) 2020; 217 Mayer, Balasubramanian, Walczak, Mora (2022.07.25.501373v2.60) 2019; 116 Davis, Bjorkman (2022.07.25.501373v2.1) 1988; 334 Rudolph, Stanfield, Wilson (2022.07.25.501373v2.7) 2006; 24 Vazquez-Lombardi, Jung, Schlatter, Mei, Mantuano, Bieberich, Hong, Kucharczyk, Kapetanovic, Aznauryan (2022.07.25.501373v2.58) 2022 Mayer-Blackwell, Schattgen, Cohen, Crawford, Souquette, Gaevert, Hertz, Thomas, Bradley, Fiore (2022.07.25.501373v2.55) 2021; 10 Robins, Campregher, Srivastava, Wacher, Turtle, Kahsai, Riddell, Warren, Carlson (2022.07.25.501373v2.2) 2009; 114 Shugay, Bagaev, Zvyagin, Vroomans, Crawford, Dolton, Komech, Sycheva, Koneva, Egorov (2022.07.25.501373v2.20) 2017; 46 |
| References_xml | – volume: 10 start-page: e0141561 year: 2015 ident: 2022.07.25.501373v2.40 publication-title: Plos One – volume: 13 start-page: e1005572 year: 2017 ident: 2022.07.25.501373v2.48 publication-title: PLoS Computational Biology – volume: 84 start-page: 45 year: 2014 ident: 2022.07.25.501373v2.46 publication-title: Ecological Monographs – volume: 24 start-page: 395 year: 2017 ident: 2022.07.25.501373v2.9 publication-title: Nature Structural & Molecular Biology – start-page: 16 year: 2015 ident: 2022.07.25.501373v2.50 publication-title: Nature Immunology – volume: 43 start-page: D423 year: 2015 ident: 2022.07.25.501373v2.28 publication-title: Nucleic Acids Research – volume: 35 start-page: 462 year: 2019 ident: 2022.07.25.501373v2.56 publication-title: Bioinformatics – volume: 163 start-page: 688 year: 1949 ident: 2022.07.25.501373v2.36 publication-title: Nature – volume: 547 start-page: 94 year: 2017 ident: 2022.07.25.501373v2.19 publication-title: Nature – volume: 284 start-page: 167 year: 2018 ident: 2022.07.25.501373v2.39 publication-title: Immunological Reviews – volume: 334 start-page: 395 year: 1988 ident: 2022.07.25.501373v2.1 publication-title: Nature – volume: 348 start-page: aaa0698 year: 2015 ident: 2022.07.25.501373v2.52 publication-title: Science – volume: 340 start-page: 630 year: 2013 ident: 2022.07.25.501373v2.31 publication-title: Science – start-page: 100697 year: 2022 ident: 2022.07.25.501373v2.63 publication-title: Cell Reports Medicine – volume: 17 start-page: e1009297 year: 2021 ident: 2022.07.25.501373v2.26 publication-title: PLoS Computational Biology – volume: 7 start-page: eabf5835 year: 2021 ident: 2022.07.25.501373v2.24 publication-title: Science Advances – volume: 16 start-page: e1007714 year: 2020 ident: 2022.07.25.501373v2.34 publication-title: PLoS Computational Biology – volume: 114 start-page: 4099 year: 2009 ident: 2022.07.25.501373v2.2 publication-title: Blood – year: 2020 ident: 2022.07.25.501373v2.15 publication-title: Research Square Preprint – volume: 37 start-page: 547 year: 2019 ident: 2022.07.25.501373v2.5 publication-title: Annual Review of Immunology – volume: 9 start-page: 14530 year: 2019 ident: 2022.07.25.501373v2.65 publication-title: Scientific Reports – volume: 185 start-page: 603 year: 2022 ident: 2022.07.25.501373v2.62 publication-title: Cell – volume: 10 start-page: 2820 year: 2019 ident: 2022.07.25.501373v2.22 publication-title: Frontiers in Immunology – volume: 24 start-page: 419 year: 2006 ident: 2022.07.25.501373v2.7 publication-title: Annual Review Of Immunology – volume: 46 start-page: D419 year: 2017 ident: 2022.07.25.501373v2.20 publication-title: Nucleic Acids Research – year: 2019 ident: 2022.07.25.501373v2.29 publication-title: Systems Immunology – volume: 33 start-page: 2924 year: 2017 ident: 2022.07.25.501373v2.64 publication-title: Bioinformatics – volume: 105 start-page: 16671 year: 2008 ident: 2022.07.25.501373v2.42 publication-title: Proceedings of the National Academy of Sciences – volume: 19 start-page: 554 year: 2017 ident: 2022.07.25.501373v2.4 publication-title: Briefings in Bioinformatics – volume: 97 start-page: 5387 year: 2000 ident: 2022.07.25.501373v2.12 publication-title: PNAS – year: 2006 ident: 2022.07.25.501373v2.45 publication-title: Entropy and diversity – volume: 93 start-page: 477 year: 2012 ident: 2022.07.25.501373v2.38 publication-title: Ecology – start-page: 1 year: 2018 ident: 2022.07.25.501373v2.53 publication-title: Nature Reviews Immunology – volume: 53 start-page: 1258 year: 2020 ident: 2022.07.25.501373v2.18 publication-title: Immunity – volume: 15 start-page: e1006874 year: 2019 ident: 2022.07.25.501373v2.33 publication-title: PLoS Computational Biology – volume: 611 start-page: 352 year: 2022 ident: 2022.07.25.501373v2.41 publication-title: Nature – volume: 46 start-page: 270 year: 1992 ident: 2022.07.25.501373v2.37 publication-title: American Statistician – volume: 8 start-page: 231 year: 2008 ident: 2022.07.25.501373v2.47 publication-title: Nature Reviews Immunology – volume: 116 start-page: 8815 year: 2019 ident: 2022.07.25.501373v2.60 publication-title: Proceedings of the National Academy of Sciences – volume: 16 start-page: e9416 year: 2020 ident: 2022.07.25.501373v2.23 publication-title: Molecular Systems Biology – volume: 49 start-page: 659 year: 2017 ident: 2022.07.25.501373v2.3 publication-title: Nature Genetics – volume: 16 start-page: 1 year: 2021 ident: 2022.07.25.501373v2.51 publication-title: PLoS ONE – start-page: 483131 year: 2018 ident: 2022.07.25.501373v2.57 publication-title: bioRxiv – volume: 9 start-page: e61639 year: 2020 ident: 2022.07.25.501373v2.49 publication-title: eLife – volume: 547 start-page: 89 year: 2017 ident: 2022.07.25.501373v2.14 publication-title: Nature – year: 2022 ident: 2022.07.25.501373v2.58 publication-title: Immunity – volume: 22 start-page: 187 year: 1986 ident: 2022.07.25.501373v2.68 publication-title: Physica D: Nonlinear Phenomena – volume: 36 start-page: 2272 year: 2020 ident: 2022.07.25.501373v2.66 publication-title: Bioinformatics – volume: 23 start-page: 781 year: 2022 ident: 2022.07.25.501373v2.17 publication-title: Nature Immunology – volume: 16 start-page: e1008394 year: 2020 ident: 2022.07.25.501373v2.67 publication-title: PLoS Computational Biology – start-page: 2021.01.11.417444v2 year: 2021 ident: 2022.07.25.501373v2.61 publication-title: bioRxiv – volume: 117 start-page: 532 year: 2020 ident: 2022.07.25.501373v2.30 publication-title: Proceedings of the National Academy of Sciences – volume: 274 start-page: 209 year: 1996 ident: 2022.07.25.501373v2.6 publication-title: Science – volume: 10 start-page: e63502 year: 2021 ident: 2022.07.25.501373v2.16 publication-title: eLife – volume: 217 start-page: e20200206 year: 2020 ident: 2022.07.25.501373v2.59 publication-title: Journal of Experimental Medicine – volume: 204 start-page: 1943 year: 2020 ident: 2022.07.25.501373v2.10 publication-title: The Journal of Immunology – volume: 10 start-page: 1 year: 2019 ident: 2022.07.25.501373v2.54 publication-title: Frontiers in Immunology – volume: 76 start-page: 5 year: 1996 ident: 2022.07.25.501373v2.44 publication-title: Oikos – start-page: 201708573 year: 2017 ident: 2022.07.25.501373v2.43 publication-title: Proceedings of the National Academy of Sciences – volume: 10 start-page: e68605 year: 2021 ident: 2022.07.25.501373v2.55 publication-title: eLife – volume: 12 start-page: 669 year: 2012 ident: 2022.07.25.501373v2.27 publication-title: Nature Reviews Immunology – volume: 33 start-page: 169 year: 2015 ident: 2022.07.25.501373v2.8 publication-title: Annual Review of Immunology – volume: 23 start-page: 349 year: 2005 ident: 2022.07.25.501373v2.13 publication-title: Nature Biotechnology – volume: 109 start-page: 16161 year: 2012 ident: 2022.07.25.501373v2.35 publication-title: Proceedings of the National Academy of Sciences – volume: 4 start-page: 1060 year: 2021 ident: 2022.07.25.501373v2.25 publication-title: Communications Biology – volume: 372 start-page: eabe9124 year: 2021 ident: 2022.07.25.501373v2.11 publication-title: Science – volume: 340 start-page: 635 year: 2013 ident: 2022.07.25.501373v2.32 publication-title: Science – volume: 38 start-page: 1194 year: 2020 ident: 2022.07.25.501373v2.21 publication-title: Nature Biotechnology |
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| Snippet | Adaptive immunity is driven by specific binding of hyper-variable receptors to diverse molecular targets. The sequence diversity of receptors and targets are... |
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| SubjectTerms | Adaptive immunity Amino acid sequence Antigens Epitopes Immune system Immunology Lymphocytes T Statistical analysis T cell receptors |
| Title | Measures of epitope binding degeneracy from T cell receptor repertoires |
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