Evidence map›Paper›PMID 25615423›Full record

ArticleJournal of theoretical biology2015

Axonal transport cargo motor count versus average transport velocity: is fast versus slow transport really single versus multiple motor transport?

Robert H Lee, Cassie S Mitchell

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. Simulating the effect of formation of amyloid plaques on aggregation of tau protein.Proceedings. Mathematical, physical, and engineering sciences · 2018
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Robert H LeeDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA. Electronic address: rlee2@emory.edu.
Cassie S MitchellDepartment of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA.

Funding

Computer Models of Normal and Abnormal Discharge Patterns in Human MotoneuronsR01NS062200 · NINDS · UNIVERSITY OF WASHINGTON · PI POWERS, RANDALL K · 2009 to 2013
$2.4M
A New Approach to ALSK01NS069616 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MITCHELL, CASSIE S · 2011 to 2015
$641k
Identification of Amyotrophic Lateral Sclerosis Clinical PredictorsR21NS081426 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI MITCHELL, CASSIE S · 2013 to 2014
$389k
NINDS NIH HHS K01 NS069616NINDS NIH HHS NS062200NINDS NIH HHS NS069616NINDS NIH HHS NS081426NINDS NIH HHS R01 NS062200NINDS NIH HHS R21 NS081426
6 · The paper itself

Abstract

Cargos have been observed exhibiting a "stop-and-go" behavior (i.e. cargo "pause"), and it has generally been assumed that these multi-second pauses can be attributed to equally long pauses of cargo-bound motors during motor procession. We contend that a careful examination of the isolated microtubule experimental record does not support motor pauses. Rather, we believe that the data suggests that motor cargo complexes encounter an obstruction that prevents procession, eventually detach and reattach, with this obstructed-detach-reattach sequence being observed in axon as a "pause." Based on this, along with our quantitative evidence-based contention that slow and fast axonal transport are actually single and multi-motor transport, we have developed a cargo level motor model capable of exhibiting the full range of slow to fast transport solely by changing the number of motors involved. This computational model derived using first-order kinetics is suitable for both kinesin and dynein and includes load-dependence as well as provision for motors encountering obstacles to procession. The model makes the following specific predictions: average distance from binding to obstruction is about 10 μm; average motor maximum velocity is at least 6 μm/s in axon; a minimum of 10 motors is required for the fastest fast transport while only one motor is required for slow transport; individual in-vivo cargo-attached motors may spend as little as 5% of their time processing along a microtubule with the remainder being spent either obstructed or unbound to a microtubule; and at least in the case of neurofilament transport, kinesin and dynein are largely not being in a "tug-of-war" competition.

Indexed as

Axonal TransportModels, BiologicalComputer SimulationDyneinsKinesinsMicrotubulesMolecular Motor ProteinsProtein BindingDyneinsKinesinsMolecular Motor ProteinsDyneinKinesinMicrotubuleNeurofilamentStop-and-go hypothesis

Identifiers

PMID25615423
PMCPMC4359950

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.