Literature DB >> 27868126

New insights into mammalian signaling pathways using microfluidic pulsatile inputs and mathematical modeling.

M Sumit1, S Takayama2, J J Linderman3.   

Abstract

Temporally modulated input mimics physiology. This chemical communication strategy filters the biochemical noise through entrainment and phase-locking. Under laboratory conditions, it also expands the observability space for downstream responses. A combined approach involving microfluidic pulsatile stimulation and mathematical modeling has led to deciphering of hidden/unknown temporal motifs in several mammalian signaling pathways and has provided mechanistic insights, including how these motifs combine to form distinct band-pass filters and govern fate regulation under dynamic microenvironment. This approach can be utilized to understand signaling circuit architectures and to gain mechanistic insights for several other signaling systems. Potential applications include synthetic biology and biotechnology, in developing pharmaceutical interventions, and in developing lab-on-chip models.

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Year:  2017        PMID: 27868126      PMCID: PMC5259548          DOI: 10.1039/c6ib00178e

Source DB:  PubMed          Journal:  Integr Biol (Camb)        ISSN: 1757-9694            Impact factor:   2.192


  73 in total

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Authors:  C J Marshall
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9.  Microfluidic interrogation and mathematical modeling of multi-regime calcium signaling dynamics.

Authors:  Andreja Jovic; Susan M Wade; Richard R Neubig; Jennifer J Linderman; Shuichi Takayama
Journal:  Integr Biol (Camb)       Date:  2013-06-04       Impact factor: 2.192

10.  Frequency modulation of ERK activation dynamics rewires cell fate.

Authors:  Hyunryul Ryu; Minhwan Chung; Maciej Dobrzyński; Dirk Fey; Yannick Blum; Sung Sik Lee; Matthias Peter; Boris N Kholodenko; Noo Li Jeon; Olivier Pertz
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  4 in total

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Journal:  Lab Chip       Date:  2020-04-02       Impact factor: 6.799

2.  A predictive model of gene expression reveals the role of network motifs in the mating response of yeast.

Authors:  Amy E Pomeroy; Matthew I Peña; John R Houser; Gauri Dixit; Henrik G Dohlman; Timothy C Elston; Beverly Errede
Journal:  Sci Signal       Date:  2021-02-16       Impact factor: 8.192

3.  System identification of signaling dependent gene expression with different time-scale data.

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Journal:  PLoS Comput Biol       Date:  2017-12-27       Impact factor: 4.475

Review 4.  Integrating Immunology and Microfluidics for Single Immune Cell Analysis.

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Journal:  Front Immunol       Date:  2018-10-16       Impact factor: 7.561

  4 in total

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