• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

由于其固有的随机性,校对不会导致受体信号中配体的区分更可靠。

Proofreading does not result in more reliable ligand discrimination in receptor signaling due to its inherent stochasticity.

机构信息

Department of Physics, University of Toronto, 60 St George St, Toronto, ON M5S 1A7, Canada.

Institute for Biomedical Engineering, University of Toronto, 164 college St, Toronto, ON M5S 1A7, Canada.

出版信息

Proc Natl Acad Sci U S A. 2023 May 23;120(21):e2212795120. doi: 10.1073/pnas.2212795120. Epub 2023 May 16.

DOI:10.1073/pnas.2212795120
PMID:37192165
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10214210/
Abstract

Kinetic proofreading (KPR) has been used as a paradigmatic explanation for the high specificity of ligand discrimination by cellular receptors. KPR enhances the difference in the mean receptor occupancy between different ligands compared to a nonproofread receptor, thus potentially enabling better discrimination. On the other hand, proofreading also attenuates the signal and introduces additional stochastic receptor transitions relative to a nonproofreading receptor. This increases the relative magnitude of noise in the downstream signal, which can interfere with reliable ligand discrimination. To understand the effect of noise on ligand discrimination beyond the comparison of the mean signals, we formulate the task of ligand discrimination as a problem of statistical estimation of the receptor affinity of ligands based on the molecular signaling output. Our analysis reveals that proofreading typically worsens ligand resolution compared to a nonproofread receptor. Furthermore, the resolution decreases further with more proofreading steps under most commonly biologically considered conditions. This contrasts with the usual notion that KPR universally improves ligand discrimination with additional proofreading steps. Our results are consistent across a variety of different proofreading schemes and metrics of performance, suggesting that they are inherent to the KPR mechanism itself rather than any particular model of molecular noise. Based on our results, we suggest alternative roles for KPR schemes such as multiplexing and combinatorial encoding in multi-ligand/multi-output pathways.

摘要

动力学校读(KPR)已被用作细胞受体对配体高特异性进行解释的范例。KPR 增强了不同配体相对于非校读受体的平均受体占有率之间的差异,从而可能实现更好的区分。另一方面,校读相对于非校读受体也会减弱信号,并引入额外的随机受体转换。这增加了下游信号中噪声的相对幅度,从而可能干扰可靠的配体区分。为了理解除了比较平均信号之外噪声对配体区分的影响,我们将配体区分的任务表述为基于分子信号输出对配体受体亲和力进行统计估计的问题。我们的分析表明,与非校读受体相比,校读通常会使配体的分辨率恶化。此外,在大多数通常被认为是生物学上的条件下,随着校读步骤的增加,分辨率进一步下降。这与 KPR 通过额外的校读步骤普遍改善配体区分的通常观点形成对比。我们的结果在各种不同的校读方案和性能指标上是一致的,这表明它们是 KPR 机制本身固有的,而不是任何特定的分子噪声模型所特有的。基于我们的结果,我们建议 KPR 方案在多配体/多输出途径中具有替代作用,例如复用和组合编码。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/197d74e33389/pnas.2212795120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/4e92786cb3f9/pnas.2212795120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/a4698fbc5f49/pnas.2212795120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/efdba6f0cfec/pnas.2212795120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/197d74e33389/pnas.2212795120fig04.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/4e92786cb3f9/pnas.2212795120fig01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/a4698fbc5f49/pnas.2212795120fig02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/efdba6f0cfec/pnas.2212795120fig03.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/12c5/10214210/197d74e33389/pnas.2212795120fig04.jpg

相似文献

1
Proofreading does not result in more reliable ligand discrimination in receptor signaling due to its inherent stochasticity.由于其固有的随机性,校对不会导致受体信号中配体的区分更可靠。
Proc Natl Acad Sci U S A. 2023 May 23;120(21):e2212795120. doi: 10.1073/pnas.2212795120. Epub 2023 May 16.
2
Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies.随机多步动力学校对中可靠的配体区分:首次通过时间与产物计数策略。
PLoS Comput Biol. 2024 Jun 10;20(6):e1012183. doi: 10.1371/journal.pcbi.1012183. eCollection 2024 Jun.
3
Progressive enhancement of kinetic proofreading in T cell antigen discrimination from receptor activation to DAG generation.从受体激活到 DAG 产生,T 细胞抗原识别中的动力学校正的逐步增强。
Elife. 2022 Sep 20;11:e75263. doi: 10.7554/eLife.75263.
4
Kinetic proofreading models for cell signaling predict ways to escape kinetic proofreading.细胞信号传导的动力学校对模型预测了逃避动力学校对的方法。
Proc Natl Acad Sci U S A. 2001 Jun 19;98(13):7295-300. doi: 10.1073/pnas.121172298. Epub 2001 Jun 5.
5
Optogenetic control shows that kinetic proofreading regulates the activity of the T cell receptor.光遗传学控制表明,动力学校验调节 T 细胞受体的活性。
Elife. 2019 Apr 5;8:e42475. doi: 10.7554/eLife.42475.
6
Kinetic proofreading of ligand-FcepsilonRI interactions may persist beyond LAT phosphorylation.配体与FcεRI相互作用的动力学校对可能在LAT磷酸化之后仍然存在。
J Immunol. 2007 Mar 15;178(6):3530-5. doi: 10.4049/jimmunol.178.6.3530.
7
A large number of receptors may reduce cellular response time variation.大量的受体可以减少细胞反应时间的变化。
Phys Biol. 2013 Jun;10(3):035008. doi: 10.1088/1478-3975/10/3/035008. Epub 2013 Jun 4.
8
Reliable target ligand detection by noise-induced receptor cluster formation.通过噪声诱导的受体簇形成来可靠地检测靶配体。
Chaos. 2020 Jan;30(1):011104. doi: 10.1063/1.5140714.
9
Kinetic proofreading model.动力学校对模型。
Adv Exp Med Biol. 2008;640:82-94. doi: 10.1007/978-0-387-09789-3_8.
10
Receptor crosstalk improves concentration sensing of multiple ligands.受体串扰提高了对多种配体的浓度感应。
Phys Rev E. 2019 Feb;99(2-1):022423. doi: 10.1103/PhysRevE.99.022423.

引用本文的文献

1
Proofreading and single-molecule sensitivity in T cell receptor signaling by condensate nucleation.通过凝聚物成核实现T细胞受体信号传导中的校对和单分子敏感性
Proc Natl Acad Sci U S A. 2025 Jun 3;122(22):e2422787122. doi: 10.1073/pnas.2422787122. Epub 2025 May 30.
2
Specificity and tunability of efflux pumps: A new role for the proton gradient?外排泵的特异性和可调性:质子梯度的新作用?
PLoS Comput Biol. 2025 Jan 27;21(1):e1012772. doi: 10.1371/journal.pcbi.1012772. eCollection 2025 Jan.
3
Timing consistency of T cell receptor activation in a stochastic model combining kinetic segregation and proofreading.

本文引用的文献

1
Progressive enhancement of kinetic proofreading in T cell antigen discrimination from receptor activation to DAG generation.从受体激活到 DAG 产生,T 细胞抗原识别中的动力学校正的逐步增强。
Elife. 2022 Sep 20;11:e75263. doi: 10.7554/eLife.75263.
2
Quantifying information of intracellular signaling: progress with machine learning.量化细胞内信号转导的信息:机器学习的进展。
Rep Prog Phys. 2022 Jul 12;85(8). doi: 10.1088/1361-6633/ac7a4a.
3
Universal antigen encoding of T cell activation from high-dimensional cytokine dynamics.从高维细胞因子动力学中对 T 细胞激活进行通用抗原编码。
结合动力学分离和校对的随机模型中T细胞受体激活的时间一致性
ArXiv. 2024 Dec 9:arXiv:2412.06773v1.
4
Reply to Xiao and Galstyan: Reliable ligand discrimination involves many trade-offs.回复肖和加尔斯特扬:可靠的配体识别涉及许多权衡。
Proc Natl Acad Sci U S A. 2024 Aug 6;121(32):e2411465121. doi: 10.1073/pnas.2411465121. Epub 2024 Jul 25.
5
With the leisure of time, kinetic proofreading can still perform reliable ligand discrimination.在有时间空闲的情况下,动力学校对仍能进行可靠的配体识别。
Proc Natl Acad Sci U S A. 2024 Aug 6;121(32):e2320118121. doi: 10.1073/pnas.2320118121. Epub 2024 Jul 25.
6
Reliable ligand discrimination in stochastic multistep kinetic proofreading: First passage time vs. product counting strategies.随机多步动力学校对中可靠的配体区分:首次通过时间与产物计数策略。
PLoS Comput Biol. 2024 Jun 10;20(6):e1012183. doi: 10.1371/journal.pcbi.1012183. eCollection 2024 Jun.
7
Modulation of antigen discrimination by duration of immune contacts in a kinetic proofreading model of T cell activation with extreme statistics.在 T 细胞激活的动力学校对模型中,通过免疫接触持续时间对抗原识别进行调节,该模型采用了极端统计学。
PLoS Comput Biol. 2023 Aug 30;19(8):e1011216. doi: 10.1371/journal.pcbi.1011216. eCollection 2023 Aug.
Science. 2022 May 20;376(6595):880-884. doi: 10.1126/science.abl5311. Epub 2022 May 19.
4
Optimal ligand discrimination by asymmetric dimerization and turnover of interferon receptors.干扰素受体的不对称二聚化和周转率实现配体的最佳辨别。
Proc Natl Acad Sci U S A. 2021 Sep 14;118(37). doi: 10.1073/pnas.2103939118.
5
The discriminatory power of the T cell receptor.T 细胞受体的鉴别能力。
Elife. 2021 May 25;10:e67092. doi: 10.7554/eLife.67092.
6
Pleiotropy enables specific and accurate signaling in the presence of ligand cross talk.并赋予了配体串扰存在的情况下,信号具有特异性和准确性。
Phys Rev E. 2021 Apr;103(4-1):042401. doi: 10.1103/PhysRevE.103.042401.
7
Six distinct NFκB signaling codons convey discrete information to distinguish stimuli and enable appropriate macrophage responses.六个独特的 NFκB 信号密码子传递不同的信息,以区分刺激并使巨噬细胞做出适当的反应。
Immunity. 2021 May 11;54(5):916-930.e7. doi: 10.1016/j.immuni.2021.04.011.
8
Proofreading through spatial gradients.通过空间梯度校对。
Elife. 2020 Dec 24;9:e60415. doi: 10.7554/eLife.60415.
9
How the T cell signaling network processes information to discriminate between self and agonist ligands.T 细胞信号转导网络如何处理信息以区分自身和激动剂配体。
Proc Natl Acad Sci U S A. 2020 Oct 20;117(42):26020-26030. doi: 10.1073/pnas.2008303117. Epub 2020 Oct 5.
10
Multiplexing information flow through dynamic signalling systems.通过动态信号系统对信息流进行多路复用。
PLoS Comput Biol. 2020 Aug 3;16(8):e1008076. doi: 10.1371/journal.pcbi.1008076. eCollection 2020 Aug.