Evidence map›Paper›PMID 34832107›Full record

ArticleMembranes2021

Quantitative Super-Resolution Microscopy to Assess Adhesion of Neuronal Cells on Single-Layer Graphene Substrates.

Silvia Scalisi, Francesca Pennacchietti, Sandeep Keshavan, Nathan D Derr, Alberto Diaspro, Dario Pisignano, Agnieszka Pierzynska-Mach, Silvia Dante, Francesca Cella Zanacchi

Open access · goldAbstract read
In one paragraph

Article in Membranes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Cell-Material Interplay in Focal Adhesion Points.ACS applied materials & interfaces · 2024
    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

9 authors at 4 institutions in 2 countries.

Silvia ScalisiNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.
Francesca PennacchiettiNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.
Sandeep KeshavanMaterials Characterization Facility, Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0002-2403-4083
Nathan D DerrCenter for Microscopy and Imaging & Department of Biological Sciences, Smith College, 44 College Lane, Northampton, MA 01063, USA.
Alberto DiasproNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.ORCID 0000-0002-4916-5928
Dario PisignanoPhysics Department 'E. Fermi', University of Pisa, 56127 Pisa, Italy.ORCID 0000-0003-3758-5199
Agnieszka Pierzynska-MachNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.ORCID 0000-0002-4094-6189
Silvia DanteMaterials Characterization Facility, Istituto Italiano di Tecnologia, 16163 Genoa, Italy.ORCID 0000-0001-6906-8482
Francesca Cella ZanacchiNanoscopy and NIC@IIT, Istituto Italiano di Tecnologia, 16152 Genoa, Italy.
Italian Institute of Technology · ITUniversity of Pisa · ITSmith College · USUniversity of Trento · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single Layer Graphene (SLG) has emerged as a critically important nanomaterial due to its unique optical and electrical properties and has become a potential candidate for biomedical applications, biosensors, and tissue engineering. Due to its intrinsic 2D nature, SLG is an ideal surface for the development of large-area biosensors and, due to its biocompatibility, can be easily exploited as a substrate for cell growth. The cellular response to SLG has been addressed in different studies with high cellular affinity for graphene often detected. Still, little is known about the molecular mechanism that drives/regulates the cellular adhesion and migration on SLG and SLG-coated interfaces with respect to other substrates

Indexed as

adhesion complexesbiophysicsgraphenesingle molecule localization microscopysuper-resolution microscopy

Identifiers

PMID34832107
PMCPMC8621106
OpenAlexW3212927266

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.