Literature DB >> 32605515

Active flow network generates molecular transport by packets: case of the endoplasmic reticulum.

M Dora1, D Holcman1,2.   

Abstract

Biological networks are characterized by their connectivity and topology but also by their ability to transport materials. In the case of random transportation, the efficacy is measured by the time it takes to travel between two nodes of the network. We study here the consequences of a unidirectional transport mechanism occurring in the endoplasmic reticulum (ER) network, a structure present in the cell cytoplasm. This unidirectional transport mechanism is an active-waiting transportation, where molecules have to wait a random time before being transported from one node to the next one. We develop here a general theory of transport in an active network and find an unusual network transportation, where molecules group together in redundant packets instead of being disperse. Finally, the mean time to travel between two nodes of the ER is of the order of 20 min, but is reduced to 30 s when we consider the fastest particles because it uses optimal paths. To conclude, the present theory shows that unidirectional transport is an efficient and robust mechanism for fast molecular redistribution inside the ER.

Keywords:  diffusion; endoplasmic reticulum network; first passage time; molecular transport; transport biological network

Mesh:

Year:  2020        PMID: 32605515      PMCID: PMC7423463          DOI: 10.1098/rspb.2020.0493

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  21 in total

1.  Dynamics and retention of misfolded proteins in native ER membranes.

Authors:  S Nehls; E L Snapp; N B Cole; K J Zaal; A K Kenworthy; T H Roberts; J Ellenberg; J F Presley; E Siggia; J Lippincott-Schwartz
Journal:  Nat Cell Biol       Date:  2000-05       Impact factor: 28.824

Review 2.  ER exit sites--localization and control of COPII vesicle formation.

Authors:  Annika Budnik; David J Stephens
Journal:  FEBS Lett       Date:  2009-10-20       Impact factor: 4.124

3.  First among equals: Comment on "Redundancy principle and the role of extreme statistics in molecular and cellular biology" by Z. Schuss, K. Basnayake and D. Holcman.

Authors:  Daniel Coombs
Journal:  Phys Life Rev       Date:  2019-03-15       Impact factor: 11.025

4.  Multiple random walks on complex networks: A harmonic law predicts search time.

Authors:  Tongfeng Weng; Jie Zhang; Michael Small; Pan Hui
Journal:  Phys Rev E       Date:  2017-05-03       Impact factor: 2.529

5.  Exact distributions of cover times for N independent random walkers in one dimension.

Authors:  Satya N Majumdar; Sanjib Sabhapandit; Grégory Schehr
Journal:  Phys Rev E       Date:  2016-12-21       Impact factor: 2.529

Review 6.  Redundancy principle and the role of extreme statistics in molecular and cellular biology.

Authors:  Z Schuss; K Basnayake; D Holcman
Journal:  Phys Life Rev       Date:  2019-01-11       Impact factor: 11.025

7.  Increased spatiotemporal resolution reveals highly dynamic dense tubular matrices in the peripheral ER.

Authors:  Jonathon Nixon-Abell; Christopher J Obara; Aubrey V Weigel; Dong Li; Wesley R Legant; C Shan Xu; H Amalia Pasolli; Kirsten Harvey; Harald F Hess; Eric Betzig; Craig Blackstone; Jennifer Lippincott-Schwartz
Journal:  Science       Date:  2016-10-27       Impact factor: 47.728

8.  Microtubules and the endoplasmic reticulum are highly interdependent structures.

Authors:  M Terasaki; L B Chen; K Fujiwara
Journal:  J Cell Biol       Date:  1986-10       Impact factor: 10.539

Review 9.  What is the function of mitochondrial networks? A theoretical assessment of hypotheses and proposal for future research.

Authors:  Hanne Hoitzing; Iain G Johnston; Nick S Jones
Journal:  Bioessays       Date:  2015-04-03       Impact factor: 4.345

10.  A Guide to Structured Illumination TIRF Microscopy at High Speed with Multiple Colors.

Authors:  Laurence J Young; Florian Ströhl; Clemens F Kaminski
Journal:  J Vis Exp       Date:  2016-05-30       Impact factor: 1.355

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.