Evidence map›Paper›PMID 41392721›Full record

ArticleDevelopment (Cambridge, England)2026

Axonal defasciculation is restricted to specific branching points during regeneration of the lateral line nerve in zebrafish.

Rohan S Roy, A J Hudspeth

Abstract read
In one paragraph

Article in Development (Cambridge, England), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Rohan S RoyLaboratory of Sensory Neuroscience, The Rockefeller University, New York, NY 10065, USA.ORCID 0000-0001-7770-8304
A J HudspethLaboratory of Sensory Neuroscience, The Rockefeller University, New York, NY 10065, USA.ORCID 0000-0002-0295-1323

Funding

Weill Cornell/Rockefeller/Sloan Kettering MST ProgramT32GM152349 · NIGMS · WEILL MEDICAL COLL OF CORNELL UNIV · PI KATHARINE C HSU · 2024 to 2026
$6.6M
Mechanisms of sensory hair cell reinnervation following lateral line cranial nerve damage in Danio rerioF30DC021350 · NIDCD · WEILL MEDICAL COLL OF CORNELL UNIV · PI Rohan Roy · 2023 to 2026
$216k
Howard Hughes Medical InstituteNIDCD NIH HHS F30 DC021350NIDCD NIH HHS F30DC021350NIGMS NIH HHS T32 GM152349NIGMS NIH HHS T32GM152349NIH HHSNIH HHS F30DC021350NIH HHS T32GM152349
6 · The paper itself

Abstract

Peripheral nerve regeneration requires precise selection of the appropriate targets of innervation, often in an environment that differs from that during the developmental wiring of the neural circuit. Severed axons of the zebrafish posterior lateral line nerve have the capacity to reinnervate mechanosensory hair cells clustered in neuromast organs. Regeneration represents a balance between fasciculated regrowth of the axonal bundle and defasciculation of individual axons into the epidermis where neuromasts reside. The cues that guide pathfinding during regeneration of the posterior lateral line nerve are unknown. Here, we show that regenerating axons selectively defasciculate through distinct gaps in the epidermal boundary layer. We found that the gene col18a1a, which encodes the secreted heparan sulfate proteoglycan collagen XVIII, is expressed by the neuromast and by a subset of Schwann cells that are located at the points of axonal defasciculation. Furthermore, we observed aberrant axonal branching at inappropriate locations during nerve regeneration in col18a1a mutants. We propose a model in which collagen XVIII patterns the basement membrane to affect the precision of axonal navigation.

Indexed as

AxonsLateral Line SystemNerve RegenerationZebrafishAnimalsBasement MembraneMutationSchwann CellsZebrafish ProteinsZebrafish ProteinsAxon guidanceCollagen XVIIIExtracellular matrixHair cellSchwann cellSynapse

Identifiers

PMID41392721
PMCPMC12848573

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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.