• 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

替代性随机淋巴细胞命运的单细胞谱系分析

A single-cell pedigree analysis of alternative stochastic lymphocyte fates.

作者信息

Hawkins E D, Markham J F, McGuinness L P, Hodgkin P D

机构信息

Immunology Division, The Walter and Eliza Hall Institute of Medical Research, 1G Royal Parade, Victoria 3050, Australia.

出版信息

Proc Natl Acad Sci U S A. 2009 Aug 11;106(32):13457-62. doi: 10.1073/pnas.0905629106. Epub 2009 Jul 24.

DOI:10.1073/pnas.0905629106
PMID:19633185
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC2715326/
Abstract

In contrast to most stimulated lymphocytes, B cells exposed to Toll-like receptor 9 ligands are nonself-adherent, allowing individual cells and families to be followed in vitro for up to 5 days. These B cells undergo phases typical of an adaptive response, dividing up to 6 times before losing the impetus for further growth and division and eventually dying by apoptosis. Using long-term microscopic imaging, accurate histories of individual lymphocyte fates were collected. Quantitative analysis of family relationships revealed that times to divide of siblings were strongly related but these correlations were progressively lost through consecutive divisions. A weaker, but significant, correlation was also found for death times among siblings. Division cessation is characterized by a loss of cell growth and the division in which this occurs is strongly inherited from the original founder cell and is related to the size this cell reaches before its first division. Thus, simple division-based dilution of factors synthesized during the first division may control the maximum division reached by stimulated cells. The stochastic distributions of times to divide, times to die, and divisions reached are also measured. Together, these results highlight the internal cellular mechanisms that control immune responses and provide a foundation for the development of new mathematical models that are correct at both single-cell and population levels.

摘要

与大多数受刺激的淋巴细胞不同,暴露于Toll样受体9配体的B细胞是非自身黏附性的,这使得单个细胞及其谱系在体外可被追踪长达5天。这些B细胞经历适应性反应的典型阶段,在失去进一步生长和分裂的动力并最终通过凋亡死亡之前可分裂多达6次。通过长期显微镜成像,收集了单个淋巴细胞命运的精确历程。对谱系关系的定量分析表明,姐妹细胞的分裂时间密切相关,但这些相关性在连续分裂过程中逐渐丧失。在姐妹细胞的死亡时间之间也发现了较弱但显著的相关性。分裂停止的特征是细胞生长的丧失,而发生这种情况的分裂强烈地从原始祖细胞继承而来,并且与该细胞在第一次分裂前达到的大小有关。因此,在第一次分裂期间合成的因子基于简单分裂的稀释可能控制受刺激细胞达到的最大分裂次数。还测量了分裂时间、死亡时间和达到的分裂次数的随机分布。这些结果共同突出了控制免疫反应的细胞内机制,并为开发在单细胞和群体水平上都正确的新数学模型奠定了基础。

相似文献

1
A single-cell pedigree analysis of alternative stochastic lymphocyte fates.替代性随机淋巴细胞命运的单细胞谱系分析
Proc Natl Acad Sci U S A. 2009 Aug 11;106(32):13457-62. doi: 10.1073/pnas.0905629106. Epub 2009 Jul 24.
2
Quantal and graded stimulation of B lymphocytes as alternative strategies for regulating adaptive immune responses.B 淋巴细胞的量子和分级刺激作为调节适应性免疫反应的替代策略。
Nat Commun. 2013;4:2406. doi: 10.1038/ncomms3406.
3
Activation-induced B cell fates are selected by intracellular stochastic competition.激活诱导的 B 细胞命运是由细胞内随机竞争决定的。
Science. 2012 Jan 20;335(6066):338-41. doi: 10.1126/science.1213230. Epub 2012 Jan 5.
4
On the impact of correlation between collaterally consanguineous cells on lymphocyte population dynamics.关于旁系血亲细胞间相关性对淋巴细胞群体动态的影响。
J Math Biol. 2009 Aug;59(2):255-85. doi: 10.1007/s00285-008-0231-x. Epub 2008 Oct 28.
5
Stochastically Timed Competition Between Division and Differentiation Fates Regulates the Transition From B Lymphoblast to Plasma Cell.随机定时的分裂与分化命运竞争调控 B 淋巴母细胞向浆细胞的转变。
Front Immunol. 2018 Sep 10;9:2053. doi: 10.3389/fimmu.2018.02053. eCollection 2018.
6
Nongenetic origins of cell-to-cell variability in B lymphocyte proliferation.B 淋巴细胞增殖中细胞间变异性的非遗传起源。
Proc Natl Acad Sci U S A. 2018 Mar 20;115(12):E2888-E2897. doi: 10.1073/pnas.1715639115. Epub 2018 Mar 7.
7
Interpreting CFSE obtained division histories of B cells in vitro with Smith-Martin and cyton type models.用 Smith-Martin 和细胞类型模型来解释 CFSE 获得的体外 B 细胞分裂历史。
Bull Math Biol. 2009 Oct;71(7):1649-70. doi: 10.1007/s11538-009-9418-6. Epub 2009 Apr 21.
8
A minimum of two distinct heritable factors are required to explain correlation structures in proliferating lymphocytes.至少需要两个不同的遗传因素来解释增殖淋巴细胞中的相关结构。
J R Soc Interface. 2010 Jul 6;7(48):1049-59. doi: 10.1098/rsif.2009.0488. Epub 2010 Jan 6.
9
A model of immune regulation as a consequence of randomized lymphocyte division and death times.一种作为随机淋巴细胞分裂和死亡时间结果的免疫调节模型。
Proc Natl Acad Sci U S A. 2007 Mar 20;104(12):5032-7. doi: 10.1073/pnas.0700026104. Epub 2007 Mar 14.
10
Quantitative regulation of B cell division destiny by signal strength.信号强度对B细胞分裂命运的定量调控。
J Immunol. 2008 Jul 1;181(1):374-82. doi: 10.4049/jimmunol.181.1.374.

引用本文的文献

1
Subtle alteration in transcriptional memory governs the lineage-level cell cycle duration heterogeneities of mammalian cells.转录记忆中的细微变化决定了哺乳动物细胞谱系水平的细胞周期持续时间异质性。
iScience. 2025 Jun 21;28(7):112981. doi: 10.1016/j.isci.2025.112981. eCollection 2025 Jul 18.
2
Computational modelling of aggressive B-cell lymphoma.侵袭性B细胞淋巴瘤的计算建模
Biochem Soc Trans. 2025 Jul 4. doi: 10.1042/BST20253039.
3
Cyclo-stationary distributions of mRNA and Protein counts for random cell division times.随机细胞分裂时间下mRNA和蛋白质计数的循环平稳分布。
bioRxiv. 2025 Jun 8:2025.06.06.658238. doi: 10.1101/2025.06.06.658238.
4
Marginal zone and follicular B cells respond differently to TLR4 and TLR9 stimulation.边缘区B细胞和滤泡B细胞对Toll样受体4(TLR4)和Toll样受体9(TLR9)刺激的反应不同。
bioRxiv. 2025 May 25:2025.05.20.655194. doi: 10.1101/2025.05.20.655194.
5
DeepKymoTracker: A tool for accurate construction of cell lineage trees for highly motile cells.深度运动轨迹追踪器:一种用于为高迁移性细胞精确构建细胞谱系树的工具。
PLoS One. 2025 Feb 10;20(2):e0315947. doi: 10.1371/journal.pone.0315947. eCollection 2025.
6
Direct observation correlates NFκB cRel in B cells with activating and terminating their proliferative program.直接观察表明 NFκB cRel 在 B 细胞中与激活和终止其增殖程序相关。
Proc Natl Acad Sci U S A. 2024 Jul 23;121(30):e2309686121. doi: 10.1073/pnas.2309686121. Epub 2024 Jul 18.
7
The NFκB signaling system in the generation of B-cell subsets: from germinal center B cells to memory B cells and plasma cells.NFκB 信号系统在 B 细胞亚群的生成中:从生发中心 B 细胞到记忆 B 细胞和浆细胞。
Front Immunol. 2023 Dec 11;14:1185597. doi: 10.3389/fimmu.2023.1185597. eCollection 2023.
8
Programmed death receptor 1 (PD-1) ligand Fc fusion proteins reduce T-cell proliferation in vitro independently of PD-1.程序性死亡受体 1(PD-1)配体 Fc 融合蛋白可独立于 PD-1 减少体外 T 细胞增殖。
Immunol Cell Biol. 2024 Feb;102(2):117-130. doi: 10.1111/imcb.12714. Epub 2023 Dec 9.
9
Survival and division fate programs are preserved but retuned during the naïve to memory CD8 T-cell transition.在初始CD8 T细胞向记忆性CD8 T细胞转变过程中,存活和分化命运程序得以保留,但有所调整。
Immunol Cell Biol. 2024 Jan;102(1):46-57. doi: 10.1111/imcb.12699. Epub 2023 Oct 15.
10
Modeling T Cell Fate.建模 T 细胞命运。
Annu Rev Immunol. 2023 Apr 26;41:513-532. doi: 10.1146/annurev-immunol-101721-040924.

本文引用的文献

1
Quantitative regulation of B cell division destiny by signal strength.信号强度对B细胞分裂命运的定量调控。
J Immunol. 2008 Jul 1;181(1):374-82. doi: 10.4049/jimmunol.181.1.374.
2
Determining the expected variability of immune responses using the cyton model.使用细胞模型确定免疫反应的预期变异性。
J Math Biol. 2008 Jun;56(6):861-92. doi: 10.1007/s00285-007-0142-2. Epub 2007 Nov 3.
3
Reconstruction of cell population dynamics using CFSE.利用羧基荧光素二乙酸琥珀酰亚胺酯(CFSE)重建细胞群体动力学。
BMC Bioinformatics. 2007 Jun 12;8:196. doi: 10.1186/1471-2105-8-196.
4
Quantification of T-cell dynamics: from telomeres to DNA labeling.T细胞动力学的量化:从端粒到DNA标记
Immunol Rev. 2007 Apr;216:35-47. doi: 10.1111/j.1600-065X.2007.00497.x.
5
A model of immune regulation as a consequence of randomized lymphocyte division and death times.一种作为随机淋巴细胞分裂和死亡时间结果的免疫调节模型。
Proc Natl Acad Sci U S A. 2007 Mar 20;104(12):5032-7. doi: 10.1073/pnas.0700026104. Epub 2007 Mar 14.
6
Asymmetric T lymphocyte division in the initiation of adaptive immune responses.适应性免疫反应启动过程中的不对称T淋巴细胞分裂
Science. 2007 Mar 23;315(5819):1687-91. doi: 10.1126/science.1139393. Epub 2007 Mar 1.
7
Estimating lymphocyte division and death rates from CFSE data.根据CFSE数据估算淋巴细胞的分裂和死亡率。
Bull Math Biol. 2006 Jul;68(5):1011-31. doi: 10.1007/s11538-006-9094-8. Epub 2006 May 16.
8
Stochastic protein expression in individual cells at the single molecule level.单分子水平下单个细胞中的随机蛋白质表达。
Nature. 2006 Mar 16;440(7082):358-62. doi: 10.1038/nature04599.
9
Quantifying cell turnover using CFSE data.使用CFSE数据对细胞更新进行定量分析。
J Immunol Methods. 2005 Mar;298(1-2):183-200. doi: 10.1016/j.jim.2005.01.011.
10
The role of models in understanding CD8+ T-cell memory.模型在理解CD8 + T细胞记忆中的作用。
Nat Rev Immunol. 2005 Feb;5(2):101-11. doi: 10.1038/nri1550.