Evidence map›Paper›PMID 35259949›Full record

ArticleOpen biology2022

A novel approach to the functional classification of retinal ganglion cells.

Gerrit Hilgen, Evgenia Kartsaki, Viktoriia Kartysh, Bruno Cessac, Evelyne Sernagor

Open access · goldAbstract read
In one paragraph

Article in Open biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 34% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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

5 authors at 4 institutions in 3 countries.

Gerrit HilgenBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.ORCID 0000-0001-5008-5493
Evgenia KartsakiBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Viktoriia KartyshBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Bruno CessacUniversité Côte d'Azur, Inria, Biovision team and Neuromod Institute, 06902 Sophia Antipolis Cedex, France.
Evelyne SernagorBiosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.
Université Côte d'Azur · FRAustrian Academy of Sciences · ATNewcastle University · GBNorthumbria University · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Retinal neurons are remarkedly diverse based on structure, function and genetic identity. Classifying these cells is a challenging task, requiring multimodal methodology. Here, we introduce a novel approach for retinal ganglion cell (RGC) classification, based on pharmacogenetics combined with immunohistochemistry and large-scale retinal electrophysiology. Our novel strategy allows grouping of cells sharing gene expression and understanding how these cell classes respond to basic and complex visual scenes. Our approach consists of several consecutive steps. First, the spike firing frequency is increased in RGCs co-expressing a certain gene (

Indexed as

RetinaRetinal Ganglion CellsBrainclassificationDREADDGrik4multielectrode arrayretinal ganglion cellsScnn1a

Identifiers

PMID35259949
PMCPMC8905177
OpenAlexW4220727496

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.