Evidence map›Paper›PMID 27605362›Full record

ArticleBMC genomics2016

A transcriptional time-course analysis of oral vs. aboral whole-body regeneration in the Sea anemone Nematostella vectensis.

Amos A Schaffer, Michael Bazarsky, Karine Levy, Vered Chalifa-Caspi, Uri Gat

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
9.4field-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

27 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
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  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Morphological and dietary changes encoded in the genome ofNAR genomics and bioinformatics · 2024
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Genome of the sea anemoneFrontiers in cell and developmental biology · 2022
    Article
  14. Cells · 2021
    Review
  15. Review
  16. Mesoglea Extracellular Matrix Reorganization during Regenerative Process inInternational journal of molecular sciences · 2021
    Article
  17. Article
  18. Animal regeneration in the era of transcriptomics.Cellular and molecular life sciences : CMLS · 2021
    Review
  19. Article
  20. 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

5 authors at 2 institutions in 1 country.

Amos A SchafferDepartment of Cell and Developmental Biology, Life Sciences Institute, Hebrew University of Jerusalem, Edmond Safra Campus, Jerusalem, 91904, Israel.
Michael BazarskyDepartment of Cell and Developmental Biology, Life Sciences Institute, Hebrew University of Jerusalem, Edmond Safra Campus, Jerusalem, 91904, Israel.
Karine LevyDepartment of Cell and Developmental Biology, Life Sciences Institute, Hebrew University of Jerusalem, Edmond Safra Campus, Jerusalem, 91904, Israel.
Vered Chalifa-CaspiBioinformatics Core Facility, National Institute for Biotechnology in the Negev, Ben-Gurion University of the Negev, Beer-Sheva, 84105, Israel.
Uri GatDepartment of Cell and Developmental Biology, Life Sciences Institute, Hebrew University of Jerusalem, Edmond Safra Campus, Jerusalem, 91904, Israel. uri.gat@mail.huji.ac.il.ORCID 0000-0002-9555-2283
Hebrew University of Jerusalem · ILBen-Gurion University of the Negev · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ability of regeneration is essential for the homeostasis of all animals as it allows the repair and renewal of tissues and body parts upon normal turnover or injury. The extent of this ability varies greatly in different animals with the sea anemone Nematostella vectensis, a basal cnidarian model animal, displaying remarkable whole-body regeneration competence.

resultsIn order to study this process in Nematostella we performed an RNA-Seq screen wherein we analyzed and compared the transcriptional response to bisection in the wound-proximal body parts undergoing oral (head) or aboral (tail) regeneration at several time points up to the initial restoration of the basic body shape. The transcriptional profiles of regeneration responsive genes were analyzed so as to define the temporal pattern of differential gene expression associated with the tissue-specific oral and aboral regeneration. The identified genes were characterized according to their GO (gene ontology) assignations revealing groups that were enriched in the regeneration process with particular attention to their affiliation to the major developmental signaling pathways. While some of the genes and gene groups thus analyzed were previously known to be active in regeneration, we have also revealed novel and surprising candidate genes such as cilia-associated genes that likely participate in this important developmental program.

conclusionsThis work highlighted the main groups of genes which showed polarization upon regeneration, notably the proteinases, multiple transcription factors and the Wnt pathway genes that were highly represented, all displaying an intricate temporal balance between the two sides. In addition, the evolutionary comparison performed between regeneration in different animal model systems may reveal the basic mechanisms playing a role in this fascinating process.

Indexed as

Gene Regulatory NetworksRegenerationAnimalsGene Expression ProfilingGene Expression Regulation, DevelopmentalGene OntologyHeadOrgan SpecificitySea AnemonesSequence Analysis, RNASignal TransductionTailCiliaHead vs. tail regenerationHomeobox genesMajor axis polarizationMetalloproteinaseNematostella vectensisRegenerationWnt pathway

Identifiers

PMID27605362
PMCPMC5015328
OpenAlexW2511464995

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.