Evidence map›Paper›PMID 29249002›Full record

ArticleDevelopment genes and evolution2018

Notch-mediated lateral inhibition is an evolutionarily conserved mechanism patterning the ectoderm in echinoids.

Eric M Erkenbrack

Abstract read
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In one paragraph

Article in Development genes and evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

6 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
  2. A draft genome assembly for the dart-poison frogGigaByte (Hong Kong, China) · 2025
    Article
  3. Article
  4. Review
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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

1 author at 1 institution in 1 country.

Eric M ErkenbrackYale Systems Biology Institute, Yale University, West Haven, CT, 06516, USA. eric.erkenbrack@yale.edu.
Yale University · US

Funding

Division of Integrative Organismal Systems IOS1240626
6 · The paper itself

Abstract

Notch signaling is a crucial cog in early development of euechinoid sea urchins, specifying both non-skeletogenic mesodermal lineages and serotonergic neurons in the apical neuroectoderm. Here, the spatial distributions and function of delta, gcm, and hesc, three genes critical to these processes in euechinoids, are examined in the distantly related cidaroid sea urchin Eucidaris tribuloides. Spatial distribution and experimental perturbation of delta and hesc suggest that the function of Notch signaling in ectodermal patterning in early development of E. tr ibuloides is consistent with canonical lateral inhibition. Delta transcripts were observed in t he archenteron, apical ectoderm, and lateral ectoderm in gastrulating e mbryos of E. tribuloides. Perturbation of Notch signaling by either delta morpholino or treatment of DAPT downregulated hesc and upregulated delta and gcm, resulting in ectopic expression of delta and gcm. Similarly, hesc perturbation mirrored the effects of delta perturbation. Interestingly, perturbation of delta or hesc resulted in more cells expressing gcm and supernumerary pigment cells, suggesting that pigment cell proliferation is regulated by Notch in E. tribuloides. These results are consistent with an evolutionary scenario whereby, in the echinoid ancestor, Notch signaling was deployed in the ectoderm to specify neurogenic progenitors and controlled pigment cell proliferation in the dorsal ectoderm.

Indexed as

AnimalsBody PatterningEmbryo, NonmammalianGastrulationNeural Stem CellsReceptors, NotchRNA, MessengerSea UrchinsReceptors, NotchRNA, MessengerGene regulatory networksHES proteinsNeurogenic ectodermNotch signalingPigment cellsSea urchins

Identifiers

PMID29249002
OpenAlexW2774500598

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.