Evidence map›Paper›PMID 32732894›Full record

ArticleScientific reports2020

Identification of epidermal differentiation genes of the tuatara provides insights into the early evolution of lepidosaurian skin.

Karin Brigit Holthaus, Lorenzo Alibardi, Erwin Tschachler, Leopold Eckhart

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-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

13 citing papers in PubMed, 17 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

4 authors at 1 institution in 1 country.

Karin Brigit HolthausDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Lorenzo AlibardiComparative Histolab, Padova, Italy.
Erwin TschachlerDepartment of Dermatology, Medical University of Vienna, Vienna, Austria.
Leopold EckhartDepartment of Dermatology, Medical University of Vienna, Vienna, Austria. leopold.eckhart@meduniwien.ac.at.
Medical University of Vienna · AT

Funding

Austrian Science Fund FWF P 28004Austrian Science Fund FWF P 32777Austrian Science Fund FWF P32777
6 · The paper itself

Abstract

The tuatara (Sphenodon punctatus) is the phylogenetically closest relative of squamates (including lizards and snakes) from which it diverged around 250 million years ago. Together, they constitute the clade Lepidosauria. Fully terrestrial vertebrates (amniotes) form their skin barrier to the environment under the control of a gene cluster, termed the epidermal differentiation complex (EDC). Here we identified EDC genes in the genome of the tuatara and compared them to those of other amniotes. The organization of the EDC and proteins encoded by EDC genes are most similar in the tuatara and squamates. A subcluster of lepidosaurian EDC genes encodes corneous beta-proteins (CBPs) of which three different types are conserved in the tuatara. Small proline-rich proteins have undergone independent expansions in the tuatara and some, but not all subgroups of squamates. Two genes encoding S100 filaggrin-type proteins (SFTPs) are expressed during embryonic skin development of the tuatara whereas SFTP numbers vary between 1 and 3 in squamates. Our comparative analysis of the EDC in the tuatara genome suggests that many molecular features of the skin that were previously identified in squamates have evolved prior to their divergence from the lineage leading to the tuatara.

Indexed as

Biological EvolutionPhylogenyAnimalsCell DifferentiationEpidermal CellsGenomeProline-Rich Protein DomainsReptilesS100 ProteinsSkinS100 Proteins

Identifiers

PMID32732894
PMCPMC7393497
OpenAlexW3046051082

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Registered trials

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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.