Evidence map›Paper›PMID 32361600›Full record

ReviewCurrent opinion in neurobiology2020

Finding order in slow axonal transport.

Subhojit Roy

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–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

28 citing papers in PubMed.

  1. Article
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  15. Review
  16. Selective motor activation in organelle transport along axons.Nature reviews. Molecular cell biology · 2022
    Review
  17. Article
  18. Article
  19. Article
  20. Cells · 2022
    Article
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

1 author.

Subhojit RoyDepartment of Pathology, University of California, San Diego, La Jolla, CA, United States; Department of Neurosciences, University of California, San Diego, La Jolla, CA, United States. Electronic address: sroy@ucsd.edu.

Funding

Slow axonal transport of cytosolic cargoes by dynamic-recruitment - a new trafficR01NS075233 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI ROY, SUBHOJIT · 2012 to 2023
$3.4M
Enabling Nanoplatforms for Targeted in vivo Delivery of CRISPR/Cas9 Ribonucleoproteins in the BrainUG3NS111688 · NINDS · UNIVERSITY OF WISCONSIN-MADISON · PI EMBORG, MARINA, GONG, SHAOQIN - · 2018 to 2020
$2.3M
Trafficking and Endosomal Sorting of APP and BACE-1R01AG048218 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI FRIEDL, ANDREAS · 2014 to 2018
$1.6M
A CRISPR-Cas9 screen to identify genetic modifiers of APP/BACE-1 interactionsR21AG052404 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI FRIEDL, ANDREAS · 2016 to 2017
$408k
NIA NIH HHS R01 AG048218NIA NIH HHS R21 AG052404NINDS NIH HHS R01 NS075233NINDS NIH HHS UG3 NS111688
6 · The paper itself

Abstract

Slow axonal transport conveys cytosolic and cytoskeletal proteins into axons and synapses at overall velocities that are several orders of magnitude slower than the fast transport of membranous organelles such as vesicles and mitochondria. The phenomenon of slow transport was characterized by in vivo pulse-chase radiolabeling studies done decades ago, and proposed models emphasized an orderly cargo-movement, with apparent cohesive transport of multiple proteins and subcellular structures along axons over weeks to months. However, visualization of cytosolic and cytoskeletal cargoes in cultured neurons at much higher temporal and spatial resolution has revealed an unexpected diversity in movement - ranging from a diffusion-like biased motion, to intermittent cargo dynamics and unusual polymerization-based transport paradigms. This review provides an updated view of slow axonal transport and explores emergent mechanistic themes in this enigmatic rate-class.

Indexed as

Axonal TransportAxonsCytoskeletal ProteinsCytoskeletonNeuronsCytoskeletal Proteins

Identifiers

PMID32361600
PMCPMC7483916

What OpenQuestion holds

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Read underepoch 390

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.