• 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

使用GINsim 3.0对细胞调控网络进行逻辑建模与分析。

Logical Modeling and Analysis of Cellular Regulatory Networks With GINsim 3.0.

作者信息

Naldi Aurélien, Hernandez Céline, Abou-Jaoudé Wassim, Monteiro Pedro T, Chaouiya Claudine, Thieffry Denis

机构信息

Computational Systems Biology Team, Institut de Biologie de l'Ecole Normale Supérieure (IBENS), École Normale Supérieure, Centre National de la Recherche Scientifique, Institut National de la Sante et de la Recherche Médicale, PSL Université, Paris, France.

INESC-ID, Instituto Superior Técnico, University of Lisbon, Lisbon, Portugal.

出版信息

Front Physiol. 2018 Jun 19;9:646. doi: 10.3389/fphys.2018.00646. eCollection 2018.

DOI:10.3389/fphys.2018.00646
PMID:29971008
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6018412/
Abstract

The logical formalism is well adapted to model large cellular networks, in particular when detailed kinetic data are scarce. This tutorial focuses on this well-established qualitative framework. Relying on GINsim (release 3.0), a software implementing this formalism, we guide the reader step by step toward the definition, the analysis and the simulation of a four-node model of the mammalian p53-Mdm2 network.

摘要

逻辑形式体系非常适合对大型细胞网络进行建模,尤其是在详细的动力学数据稀缺时。本教程聚焦于这个成熟的定性框架。依靠GINsim(3.0版)这一实现该形式体系的软件,我们逐步引导读者对哺乳动物p53-Mdm2网络的四节点模型进行定义、分析和模拟。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/38138e25731a/fphys-09-00646-g0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/c0f461f61efc/fphys-09-00646-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a09fd453ab02/fphys-09-00646-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/585ab542a6c7/fphys-09-00646-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/fc67eaddfa69/fphys-09-00646-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/f3e29518333f/fphys-09-00646-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/46ed1a4b976f/fphys-09-00646-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/e667c6f5d43d/fphys-09-00646-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/2577fbcc8442/fphys-09-00646-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a454c9a06fe5/fphys-09-00646-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/3a2f1d891725/fphys-09-00646-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a2bb17a98e08/fphys-09-00646-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/38138e25731a/fphys-09-00646-g0012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/c0f461f61efc/fphys-09-00646-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a09fd453ab02/fphys-09-00646-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/585ab542a6c7/fphys-09-00646-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/fc67eaddfa69/fphys-09-00646-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/f3e29518333f/fphys-09-00646-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/46ed1a4b976f/fphys-09-00646-g0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/e667c6f5d43d/fphys-09-00646-g0007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/2577fbcc8442/fphys-09-00646-g0008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a454c9a06fe5/fphys-09-00646-g0009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/3a2f1d891725/fphys-09-00646-g0010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/a2bb17a98e08/fphys-09-00646-g0011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/beed/6018412/38138e25731a/fphys-09-00646-g0012.jpg

相似文献

1
Logical Modeling and Analysis of Cellular Regulatory Networks With GINsim 3.0.使用GINsim 3.0对细胞调控网络进行逻辑建模与分析。
Front Physiol. 2018 Jun 19;9:646. doi: 10.3389/fphys.2018.00646. eCollection 2018.
2
Logical modelling of gene regulatory networks with GINsim.使用GINsim对基因调控网络进行逻辑建模。
Methods Mol Biol. 2012;804:463-79. doi: 10.1007/978-1-61779-361-5_23.
3
Logical modelling of regulatory networks with GINsim 2.3.使用GINsim 2.3对调控网络进行逻辑建模。
Biosystems. 2009 Aug;97(2):134-9. doi: 10.1016/j.biosystems.2009.04.008. Epub 2009 May 6.
4
Logical Modeling and Dynamical Analysis of Cellular Networks.细胞网络的逻辑建模与动力学分析
Front Genet. 2016 May 31;7:94. doi: 10.3389/fgene.2016.00094. eCollection 2016.
5
Prediction and Boolean logical modelling of synergistic microRNA regulatory networks during reprogramming of male germline pluripotent stem cells.预测和布尔逻辑建模雄性生殖细胞多能干细胞重编程过程中的协同 microRNA 调控网络。
Biosystems. 2021 Sep;207:104453. doi: 10.1016/j.biosystems.2021.104453. Epub 2021 Jun 12.
6
GINsim: a software suite for the qualitative modelling, simulation and analysis of regulatory networks.GINsim:用于调控网络定性建模、模拟与分析的软件套件。
Biosystems. 2006 May;84(2):91-100. doi: 10.1016/j.biosystems.2005.10.003. Epub 2006 Jan 24.
7
A Boolean Logical model for Reprogramming of Testes-derived male Germline Stem Cells into Germline pluripotent stem cells.一种用于将睾丸来源的雄性生殖细胞干细胞重编程为生殖系多能干细胞的布尔逻辑模型。
Comput Methods Programs Biomed. 2020 Aug;192:105473. doi: 10.1016/j.cmpb.2020.105473. Epub 2020 Mar 20.
8
BioLQM: A Java Toolkit for the Manipulation and Conversion of Logical Qualitative Models of Biological Networks.BioLQM:用于生物网络逻辑定性模型操作与转换的Java工具包。
Front Physiol. 2018 Nov 19;9:1605. doi: 10.3389/fphys.2018.01605. eCollection 2018.
9
Logical modelling of the role of the Hh pathway in the patterning of the Drosophila wing disc.Hh信号通路在果蝇翅盘模式形成中作用的逻辑建模。
Bioinformatics. 2008 Aug 15;24(16):i234-40. doi: 10.1093/bioinformatics/btn266.
10
Logical model specification aided by model-checking techniques: application to the mammalian cell cycle regulation.借助模型检查技术的逻辑模型规范:应用于哺乳动物细胞周期调控
Bioinformatics. 2016 Sep 1;32(17):i772-i780. doi: 10.1093/bioinformatics/btw457.

引用本文的文献

1
Reproducible Boolean model analyses and simulations with the CoLoMoTo software suite: a tutorial.使用CoLoMoTo软件套件进行可重复的布尔模型分析与模拟:教程
Interface Focus. 2025 Aug 22;15(3):20250002. doi: 10.1098/rsfs.2025.0002.
2
Synergistic effects of complex drug combinations in colorectal cancer cells predicted by logical modelling.通过逻辑建模预测复合药物组合在结肠癌细胞中的协同作用。
Front Syst Biol. 2023 Feb 27;3:1112831. doi: 10.3389/fsysb.2023.1112831. eCollection 2023.
3
LM-Merger: a workflow for merging logical models with an application to gene regulatory network models.

本文引用的文献

1
MaBoSS 2.0: an environment for stochastic Boolean modeling.MaBoSS 2.0:用于随机布尔建模的环境。
Bioinformatics. 2017 Jul 15;33(14):2226-2228. doi: 10.1093/bioinformatics/btx123.
2
Logical modeling of lymphoid and myeloid cell specification and transdifferentiation.淋巴样和髓样细胞的特化和转分化的逻辑建模。
Proc Natl Acad Sci U S A. 2017 Jun 6;114(23):5792-5799. doi: 10.1073/pnas.1610622114.
3
Qualitative Dynamical Modelling Can Formally Explain Mesoderm Specification and Predict Novel Developmental Phenotypes.
LM合并器:一种用于合并逻辑模型并应用于基因调控网络模型的工作流程。
BMC Bioinformatics. 2025 Jul 15;26(1):178. doi: 10.1186/s12859-025-06212-2.
4
Targeting NSCLC drug resistance: Systems biology insights into the MALAT1/miR-145-5p axis and Wip1 in regulating ferroptosis and apoptosis.靶向非小细胞肺癌耐药性:关于MALAT1/miR-145-5p轴和Wip1在调节铁死亡和细胞凋亡中的系统生物学见解
J R Soc Interface. 2025 May;22(226):20240852. doi: 10.1098/rsif.2024.0852. Epub 2025 May 28.
5
Protocol to identify regulatory modules in Parkinson's disease progression using miRNA data and Boolean modeling.使用miRNA数据和布尔模型识别帕金森病进展中调控模块的方案。
STAR Protoc. 2025 Jun 20;6(2):103769. doi: 10.1016/j.xpro.2025.103769. Epub 2025 May 9.
6
DNA Damage-Induced Ferroptosis: A Boolean Model Regulating p53 and Non-Coding RNAs in Drug Resistance.DNA损伤诱导的铁死亡:一种调控p53和非编码RNA耐药性的布尔模型
Proteomes. 2025 Jan 20;13(1):6. doi: 10.3390/proteomes13010006.
7
Predictive modelling of acute Promyelocytic leukaemia resistance to retinoic acid therapy.急性早幼粒细胞白血病对维甲酸治疗耐药性的预测模型
Brief Bioinform. 2024 Nov 22;26(1). doi: 10.1093/bib/bbaf002.
8
A system-level model reveals that transcriptional stochasticity is required for hematopoietic stem cell differentiation.一个系统级模型表明,转录随机性是造血干细胞分化所必需的。
NPJ Syst Biol Appl. 2024 Dec 5;10(1):145. doi: 10.1038/s41540-024-00469-8.
9
LM-Merger: A workflow for merging logical models with an application to gene regulation.LM合并器:一种用于合并逻辑模型并应用于基因调控的工作流程。
bioRxiv. 2024 Dec 17:2024.09.13.612961. doi: 10.1101/2024.09.13.612961.
10
LncRNA PTENP1/miR-21/PTEN Axis Modulates EMT and Drug Resistance in Cancer: Dynamic Boolean Modeling for Cell Fates in DNA Damage Response.LncRNA PTENP1/miR-21/PTEN 轴调控癌症中的 EMT 和耐药性:DNA 损伤反应中细胞命运的动态布尔建模。
Int J Mol Sci. 2024 Jul 29;25(15):8264. doi: 10.3390/ijms25158264.
定性动力学建模能够正式解释中胚层特化并预测新的发育表型。
PLoS Comput Biol. 2016 Sep 6;12(9):e1005073. doi: 10.1371/journal.pcbi.1005073. eCollection 2016 Sep.
4
Logical model specification aided by model-checking techniques: application to the mammalian cell cycle regulation.借助模型检查技术的逻辑模型规范:应用于哺乳动物细胞周期调控
Bioinformatics. 2016 Sep 1;32(17):i772-i780. doi: 10.1093/bioinformatics/btw457.
5
Logical Modeling and Dynamical Analysis of Cellular Networks.细胞网络的逻辑建模与动力学分析
Front Genet. 2016 May 31;7:94. doi: 10.3389/fgene.2016.00094. eCollection 2016.
6
A dynamical model of the regulatory network controlling lymphopoiesis.控制淋巴细胞生成的调节网络的动力学模型。
Biosystems. 2015 Nov;137:26-33. doi: 10.1016/j.biosystems.2015.09.004. Epub 2015 Sep 25.
7
Discovery of Drug Synergies in Gastric Cancer Cells Predicted by Logical Modeling.通过逻辑建模预测胃癌细胞中的药物协同作用
PLoS Comput Biol. 2015 Aug 28;11(8):e1004426. doi: 10.1371/journal.pcbi.1004426. eCollection 2015 Aug.
8
A Modeling Approach to Explain Mutually Exclusive and Co-Occurring Genetic Alterations in Bladder Tumorigenesis.一种用于解释膀胱癌发生中相互排斥和共同发生的遗传改变的建模方法。
Cancer Res. 2015 Oct 1;75(19):4042-52. doi: 10.1158/0008-5472.CAN-15-0602. Epub 2015 Aug 3.
9
A Minimal Regulatory Network of Extrinsic and Intrinsic Factors Recovers Observed Patterns of CD4+ T Cell Differentiation and Plasticity.一个由外在和内在因素组成的最小调控网络恢复了观察到的CD4+ T细胞分化和可塑性模式。
PLoS Comput Biol. 2015 Jun 19;11(6):e1004324. doi: 10.1371/journal.pcbi.1004324. eCollection 2015 Jun.
10
Model checking to assess T-helper cell plasticity.通过模型检测评估 T 辅助细胞的可塑性。
Front Bioeng Biotechnol. 2015 Jan 28;2:86. doi: 10.3389/fbioe.2014.00086. eCollection 2014.