The Blueprint of Logical Decisions in a NF-κB Signaling System

被引:1
作者
Gautam, Pankaj [1 ]
Sinha, Sudipta Kumar [1 ]
机构
[1] Indian Inst Technol Ropar, Dept Chem, Theoret & Computat Biophys Chem Grp, Rupnagar 140001, Punjab, India
来源
ACS OMEGA | 2024年 / 9卷 / 21期
关键词
ENHANCER-PROMOTER COMMUNICATION; TRANSCRIPTION FACTORS; REGULATORY NETWORKS; GENE-REGULATION; ACTIVATION; DYNAMICS; INFORMATION; COMPUTATION; EXPRESSION; RECEPTOR;
D O I
10.1021/acsomega.4c00049
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Nearly identical cells can exhibit substantially different responses to the same stimulus that causes phenotype diversity. Such interplay between phenotype diversity and the architecture of regulatory circuits is crucial since it determines the state of a biological cell. Here, we theoretically analyze how the circuit blueprints of NF-kappa B in cellular environments are formed and their role in determining the cells' metabolic state. The NF-kappa B is a collective name for a developmental conserved family of five different transcription factors that can form homodimers or heterodimers and often promote DNA looping to reprogram the inflammatory gene response. The NF-kappa B controls many biological functions, including cellular differentiation, proliferation, migration, and survival. Our model shows that nuclear localization of NF-kappa B differentially promotes logic operations such as AND, NAND, NOR, and OR in its regulatory network. Through the quantitative thermodynamic model of transcriptional regulation and systematic variation of promoter-enhancer interaction modes, we can account for the origin of various logic gates as formed in the NF-kappa B system. We further show that the interconversion or switching of logic gates yielded under systematic variations of the stimuli activity and DNA looping parameters. Such computation occurs in regulatory and signaling pathways in individual cells at a molecular scale, which one can exploit to design a biomolecular computer.
引用
收藏
页码:22625 / 22634
页数:10
相关论文
共 76 条
  • [1] MOLECULAR COMPUTATION OF SOLUTIONS TO COMBINATORIAL PROBLEMS
    ADLEMAN, LM
    [J]. SCIENCE, 1994, 266 (5187) : 1021 - 1024
  • [2] RAR and RXR modulation in cancer and metabolic disease
    Altucci, Lucia
    Leibowitz, Mark D.
    Ogilvie, Kathleen M.
    de Lera, Angel R.
    Gronemeyer, Hinrich
    [J]. NATURE REVIEWS DRUG DISCOVERY, 2007, 6 (10) : 793 - 810
  • [3] Programmable single-cell mammalian biocomputers
    Auslaender, Simon
    Auslaender, David
    Mueller, Marius
    Wieland, Markus
    Fussenegger, Martin
    [J]. NATURE, 2012, 487 (7405) : 123 - +
  • [4] Protein-DNA computation by stochastic assembly cascade
    Bar-Ziv, R
    Tlusty, T
    Libchaber, A
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2002, 99 (18) : 11589 - 11592
  • [5] Complex signal processing in synthetic gene circuits using cooperative regulatory assemblies
    Bashor, Caleb J.
    Patel, Nikit
    Choubey, Sandeep
    Beyzavi, Ali
    Kondev, Jane
    Collins, James J.
    Khalil, Ahmad S.
    [J]. SCIENCE, 2019, 364 (6440) : 593 - +
  • [6] Germinal centres and B cell lymphomagenesis
    Basso, Katia
    Dalla-Favera, Riccardo
    [J]. NATURE REVIEWS IMMUNOLOGY, 2015, 15 (03) : 172 - 184
  • [7] A synthetic multicellular system for programmed pattern formation
    Basu, S
    Gerchman, Y
    Collins, CH
    Arnold, FH
    Weiss, R
    [J]. NATURE, 2005, 434 (7037) : 1130 - 1134
  • [8] An autonomous molecular computer for logical control of gene expression
    Benenson, Y
    Gil, B
    Ben-Dor, U
    Adar, R
    Shapiro, E
    [J]. NATURE, 2004, 429 (6990) : 423 - 429
  • [9] Biomolecular computing systems: principles, progress and potential
    Benenson, Yaakov
    [J]. NATURE REVIEWS GENETICS, 2012, 13 (07) : 455 - 468
  • [10] RNA-based computation in live cells
    Benenson, Yaakov
    [J]. CURRENT OPINION IN BIOTECHNOLOGY, 2009, 20 (04) : 471 - 478