The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Isolation of a Structural Mechanism for Uncoupling T Cell Receptor Signaling from Peptide-MHC Binding
Open accessAbstract
Summary TCR signaling strength generally correlates with peptide-MHC binding affinity; however, exceptions exist. We find high-affinity, yet non-stimulatory interactions occur with high frequency in the human T cell repertoire. Here, we studied human TCRs that are refractory to activation by pMHC ligands despite robust binding. Analysis of 3D affinity, 2D dwell-time, and crystal structures of stimulatory versus non-stimulatory TCR-pMHC interactions failed to account for their different signaling outcomes. Using yeast pMHC display, we identified peptide agonists of a formerly non-responsive TCR. Single-molecule force measurements demonstrated the emergence of catch-bonds in the activating TCR-pMHC interactions, correlating with exclusion of CD45 from the TCR-APC synapse. Molecular dynamics simulations of TCR-pMHC disengagement distinguished agonist from non-agonist ligands based on the acquisition of catch bonds within the TCR-pMHC interface. The isolation of catch bonds as a parameter mediating the coupling of TCR binding and signaling has important implications for TCR and antigen engineering for immunotherapy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
PHENIX : a comprehensive Python-based system for macromolecular structure solution
Adams, P. D., Afonine, P. V., Bunkóczi, G., Chen, V. B., Davis, I. W., Echols, N., Headd, J. J., Hung, L.-W., Kapral, G. J., Grosse-Kunstleve, R. W., et al. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909052925 · Cited by 23,716
Kabsch, W. (2010) · Acta Crystallographica Section D Biological Crystallography · doi:10.1107/s0907444909047337 · Cited by 16,463
PANDAseq: paired-end assembler for Illumina sequences
Masella, A. P., Bartram, A. K., Truszkowski, J. M., Brown, D. G., & Neufeld, J. D. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-31 · Cited by 2,132
Using collective variables to drive molecular dynamics simulations
Fiorin, G., Klein, M. L., & Hénin, J. (2013) · Molecular Physics · doi:10.1080/00268976.2013.813594 · Cited by 1,053
Virus-specific CD4(+) memory-phenotype T cells are abundant in unexposed adults
Su, L. F., Kidd, B. A., Han, A., Kotzin, J. J., & Davis, M. M. (2013) · Immunity · doi:10.1016/j.immuni.2012.10.021 · Cited by 429 · cited 1×
“…biology approaches to understand vaccine responses (Furman et al., 2013), twin studies to understand the relative influence of environment versus genetics (ongoing) and T cell repertoire studies to understand self vs non-self capabilities and the origin of memory T cell responses (Su et al 2013).”
Self-citation
Cited by
Yue, W., Chen, L., Yu, L., Zhou, B., Yin, H., Ren, W., Liu, C., Guo, L., Zhang, Y., Sun, L., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-09760-3 · Cited by 590
CD45 functions as a signaling gatekeeper in T cells
Courtney, A. H., Shvets, A. A., Lu, W., Griffante, G., Mollenauer, M., Horkova, V., Lo, W.-L., Yu, S., Stepanek, O., Chakraborty, A. K., et al. (2019) · Science Signaling · doi:10.1126/scisignal.aaw8151 · Cited by 161
Chiou, S.-H., Tseng, D., Reuben, A., Mallajosyula, V., Molina, I. S., Conley, S., Wilhelmy, J., McSween, A. M., Yang, X., Nishimiya, D., et al. (2021) · Immunity · doi:10.1016/j.immuni.2021.02.014 · Cited by 133
Self-citationThe Cellular Immunotherapy Revolution: Arming the Immune System for Precision Therapy
Paucek, R. D., Baltimore, D., & Li, G. (2019) · Trends in Immunology · doi:10.1016/j.it.2019.02.002 · Cited by 104
Li, Y., Phillips, E. J., Dellinger, A., Nicoletti, P., Schutte, R., Li, D., Ostrov, D. A., Fontana, R. J., Watkins, P. B., Stolz, A., et al. (2021) · Hepatology · doi:10.1002/hep.31258 · Cited by 76
Metadata
- Authors
- Sibener, L. V., Fernandes, R. A., Kolawole, E. M., Carbone, C. B., Liu, F., McAffee, D., Birnbaum, M. E., Yang, X., Su, L. F., Yu, W., Dong, S., Gee, M. H., Jude, K. M., Davis, M. M., Groves, J. T., Goddard, W. A., Heath, J. R., Evavold, B. D., Vale, R. D., & Garcia, K. C.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2018-07
- Volume
- 174
- Issue
- 3
- Pages
- 672-687.e27
- ISSN
- 0092-8674 (ISSN-L)
- OpenAlex
- W2884809460
- Cited by
- 311
- References
- 5
- FWCI
- 11.08
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
