These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

282 related articles for article (PubMed ID: 25615392)

  • 1. Exact distributions for stochastic gene expression models with bursting and feedback.
    Kumar N; Platini T; Kulkarni RV
    Phys Rev Lett; 2014 Dec; 113(26):268105. PubMed ID: 25615392
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exact protein distributions for stochastic models of gene expression using partitioning of Poisson processes.
    Pendar H; Platini T; Kulkarni RV
    Phys Rev E Stat Nonlin Soft Matter Phys; 2013 Apr; 87(4):042720. PubMed ID: 23679462
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Intrinsic noise in stochastic models of gene expression with molecular memory and bursting.
    Jia T; Kulkarni RV
    Phys Rev Lett; 2011 Feb; 106(5):058102. PubMed ID: 21405439
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Negative feedback through mRNA provides the best control of gene-expression noise.
    Singh A
    IEEE Trans Nanobioscience; 2011 Sep; 10(3):194-200. PubMed ID: 22020106
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Connecting protein and mRNA burst distributions for stochastic models of gene expression.
    Elgart V; Jia T; Fenley AT; Kulkarni R
    Phys Biol; 2011 Aug; 8(4):046001. PubMed ID: 21490380
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Gene expression noise is affected differentially by feedback in burst frequency and burst size.
    Bokes P; Singh A
    J Math Biol; 2017 May; 74(6):1483-1509. PubMed ID: 27665109
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Exact distributions for stochastic gene expression models with arbitrary promoter architecture and translational bursting.
    Chen M; Luo S; Cao M; Guo C; Zhou T; Zhang J
    Phys Rev E; 2022 Jan; 105(1-1):014405. PubMed ID: 35193181
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Transcriptional Bursting in Gene Expression: Analytical Results for General Stochastic Models.
    Kumar N; Singh A; Kulkarni RV
    PLoS Comput Biol; 2015 Oct; 11(10):e1004292. PubMed ID: 26474290
    [TBL] [Abstract][Full Text] [Related]  

  • 9. High Cooperativity in Negative Feedback can Amplify Noisy Gene Expression.
    Bokes P; Lin YT; Singh A
    Bull Math Biol; 2018 Jul; 80(7):1871-1899. PubMed ID: 29696600
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Frequency modulation of stochastic gene expression bursts by strongly interacting small RNAs.
    Kumar N; Jia T; Zarringhalam K; Kulkarni RV
    Phys Rev E; 2016 Oct; 94(4-1):042419. PubMed ID: 27841647
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Effect of feedback regulation on stochastic gene expression.
    Tao Y; Zheng X; Sun Y
    J Theor Biol; 2007 Aug; 247(4):827-36. PubMed ID: 17507034
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Applications of Little's Law to stochastic models of gene expression.
    Elgart V; Jia T; Kulkarni RV
    Phys Rev E Stat Nonlin Soft Matter Phys; 2010 Aug; 82(2 Pt 1):021901. PubMed ID: 20866831
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Beyond initiation-limited translational bursting: the effects of burst size distributions on the stability of gene expression.
    Kuwahara H; Arold ST; Gao X
    Integr Biol (Camb); 2015 Dec; 7(12):1622-32. PubMed ID: 26566069
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Interplay between stochasticity and negative feedback leads to pulsed dynamics and distinct gene activity patterns.
    Zambrano S; Bianchi ME; Agresti A; Molina N
    Phys Rev E Stat Nonlin Soft Matter Phys; 2015 Aug; 92(2):022711. PubMed ID: 26382436
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Analytical results for non-Markovian models of bursty gene expression.
    Wang Z; Zhang Z; Zhou T
    Phys Rev E; 2020 May; 101(5-1):052406. PubMed ID: 32575237
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Stochastic switching in gene networks can occur by a single-molecule event or many molecular steps.
    Choi PJ; Xie XS; Shakhnovich EI
    J Mol Biol; 2010 Feb; 396(1):230-44. PubMed ID: 19931280
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Regulation of noise in the expression of a single gene.
    Ozbudak EM; Thattai M; Kurtser I; Grossman AD; van Oudenaarden A
    Nat Genet; 2002 May; 31(1):69-73. PubMed ID: 11967532
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Stochastic modeling and numerical simulation of gene regulatory networks with protein bursting.
    Pájaro M; Alonso AA; Otero-Muras I; Vázquez C
    J Theor Biol; 2017 May; 421():51-70. PubMed ID: 28341132
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Stochastic analysis of gene expression.
    Zheng XD; Tao Y
    Methods Mol Biol; 2011; 734():123-51. PubMed ID: 21468988
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Distribution of population-averaged observables in stochastic gene expression.
    Bhattacharyya B; Kalay Z
    Phys Rev E Stat Nonlin Soft Matter Phys; 2014 Jan; 89(1):012715. PubMed ID: 24580265
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 15.