Evidence map›Paper›PMID 28584082›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Whole-organism cellular gene-expression atlas reveals conserved cell types in the ventral nerve cord of

Hernando Martínez Vergara, Paola Yanina Bertucci, Peter Hantz, Maria Antonietta Tosches, Kaia Achim, Pavel Vopalensky, Detlev Arendt

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 106 citations in OpenAlex.

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  9. Dynamics ofProceedings of the National Academy of Sciences of the United States of America · 2022
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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

7 authors at 2 institutions in 2 countries.

Hernando Martínez VergaraDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Paola Yanina BertucciDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Peter HantzDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Maria Antonietta ToschesDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Kaia AchimDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Pavel VopalenskyDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany.
Detlev ArendtDevelopmental Biology Unit, European Molecular Biology Laboratory, 69012 Heidelberg, Germany; arendt@embl.de.ORCID 0000-0001-7833-050X
European Molecular Biology Laboratory · DEMax Planck Institute for Brain Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The comparative study of cell types is a powerful approach toward deciphering animal evolution. To avoid selection biases, however, comparisons ideally involve all cell types present in a multicellular organism. Here, we use image registration and a newly developed "Profiling by Signal Probability Mapping" algorithm to generate a cellular resolution 3D expression atlas for an entire animal. We investigate three-segmented young worms of the marine annelid

Indexed as

Biological EvolutionAlgorithmsAnimalsBody PatterningCell DifferentiationGene Expression ProfilingGene Expression Regulation, DevelopmentalModels, BiologicalNeuronsPolychaetacell-type evolutionevo-devogene-expression atlasKolmer-Agduhr cellsProSPr

Identifiers

PMID28584082
PMCPMC5468599
OpenAlexW2624543065

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.