Evidence map›Paper›PMID 24501675›Full record

ArticleInterface focus2014

Interaction of leech neurons with topographical gratings: comparison with rodent and human neuronal lines and primary cells.

Ilaria Tonazzini, Monica Pellegrini, Mario Pellegrino, Marco Cecchini

Open access · bronzeAbstract read
In one paragraph

Article in Interface focus, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.0field-weighted citation impact, top 26% of its field
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

4 citing papers in PubMed, 20 citations in OpenAlex.

  1. Nanopatterned Nafion microelectrode arrays forAdvanced functional materials · 2020
    Article
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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

4 authors at 3 institutions in 1 country.

Ilaria TonazziniNEST, Scuola Normale Superiore and Istituto Nanoscienze-CNR , Piazza San Silvestro 12, Pisa 56127 , Italy.
Monica PellegriniScuola Normale Superiore , Piazza dei Cavalieri 7, Pisa 56126 , Italy.
Mario PellegrinoDipartimento di Ricerca Traslazionale e Delle Nuove Tecnologie in Medicina e Chirurgia , Università di Pisa , Via S. Zeno 31, 56127 Pisa , Italy.
Marco CecchiniNEST, Scuola Normale Superiore and Istituto Nanoscienze-CNR , Piazza San Silvestro 12, Pisa 56127 , Italy.
Scuola Normale Superiore · ITIstituto Nanoscienze · ITUniversity of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Controlling and improving neuronal cell migration and neurite outgrowth are critical elements of tissue engineering applications and development of artificial neuronal interfaces. To this end, a promising approach exploits nano/microstructured surfaces, which have been demonstrated to be capable of tuning neuronal differentiation, polarity, migration and neurite orientation. Here, we investigate the neurite contact guidance of leech neurons on plastic gratings (GRs; anisotropic topographies composed of alternating lines of grooves and ridges). By high-resolution microscopy, we quantitatively evaluate the changes in tubulin cytoskeleton organization and cell morphology and in the neurite and growth cone development. The topography-reading process of leech neurons on GRs is mediated by filopodia and is more responsive to 4-µm-period GRs than to smaller period GRs. Leech neuron behaviour on GRs is finally compared and validated with several other neuronal cells, from murine differentiated embryonic stem cells and primary hippocampal neurons to differentiated human neuroblastoma cells.

Indexed as

contact guidancefilopodiagratingsgrowth conesmechanotransductionneurite

Identifiers

PMID24501675
PMCPMC3886312
OpenAlexW2115781583

What OpenQuestion holds

Textmetadata
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.