ArticleBMC genomics2014
Transcriptomic changes during regeneration of the central nervous system in an echinoderm.
Article in BMC genomics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.
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.
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.
Who cites it
44 citing papers in PubMed, 95 citations in OpenAlex.
- Sea CucumberResearch square · 2026Article
- Article
- Echinoderm Radial Glia-Like Cells Express Vertebrate Glial Markers.The Journal of comparative neurology · 2025Article
- A wound-induced differentiation trajectory for neurons.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Transcriptomic analysis reveals the early body wall regeneration mechanism of the sea cucumber Holothuria leucospilota after artificially induced transverse fission.BMC genomics · 2023Article
- Regeneration of starfish radial nerve cord restores animal mobility and unveils a new coelomocyte population.Cell and tissue research · 2023Article
- Ethical Considerations for Echinoderms: New Initiatives in Welfare.Animals : an open access journal from MDPI · 2023Review
- The Stress Response of the Holothurian Central Nervous System: A Transcriptomic Analysis.International journal of molecular sciences · 2022Article
- EchinoDB: an update to the web-based application for genomic and transcriptomic data on echinoderms.BMC genomic data · 2022Article
- Neurogenesis during Brittle Star Arm Regeneration Is Characterised by a Conserved Set of Key Developmental Genes.Biology · 2022Article
- Twinkle twinkle brittle star: the draft genome of Ophioderma brevispinum (Echinodermata: Ophiuroidea) as a resource for regeneration research.BMC genomics · 2022Article
- A pan-metazoan concept for adult stem cells: the wobbling Penrose landscape.Biological reviews of the Cambridge Philosophical Society · 2022Article
- Characterization of Two Novel EF-Hand Proteins Identifies a Clade of Putative CaJournal of bioinformatics and systems biology : Open access · 2022Article
- Radial glia and radial glia-like cells: Their role in neurogenesis and regeneration.Frontiers in neuroscience · 2022Review
- Article
- Review
- Animal regeneration in the era of transcriptomics.Cellular and molecular life sciences : CMLS · 2021Review
- Review
- Regeneration in Echinoderms: Molecular Advancements.Frontiers in cell and developmental biology · 2021Review
- Draft Genome of the Sea CucumberFrontiers in Marine Science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundEchinoderms are emerging as important models in regenerative biology. Significant amount of data are available on cellular mechanisms of post-traumatic repair in these animals, whereas studies of gene expression are rare. In this study, we employ high-throughput sequencing to analyze the transcriptome of the normal and regenerating radial nerve cord (a homolog of the chordate neural tube), in the sea cucumber Holothuria glaberrima.
resultsOur de novo assembly yielded 70,173 contigs, of which 24,324 showed significant similarity to known protein-coding sequences. Expression profiling revealed large-scale changes in gene expression (4,023 and 3,257 up-regulated and down-regulated transcripts, respectively) associated with regeneration. Functional analysis of sets of differentially expressed genes suggested that among the most extensively over-represented pathways were those involved in the extracellular matrix (ECM) remodeling and ECM-cell interactions, indicating a key role of the ECM in regeneration. We also searched the sea cucumber transcriptome for homologs of factors known to be involved in acquisition and/or control of pluripotency. We identified eleven genes that were expressed both in the normal and regenerating tissues. Of these, only Myc was present at significantly higher levels in regeneration, whereas the expression of Bmi-1 was significantly reduced. We also sought to get insight into which transcription factors may operate at the top of the regulatory hierarchy to control gene expression in regeneration. Our analysis yielded eleven putative transcription factors, which constitute good candidates for further functional studies. The identified candidate transcription factors included not only known regeneration-related genes, but also factors not previously implicated as regulators of post-traumatic tissue regrowth. Functional annotation also suggested that one of the possible adaptations contributing to fast and efficient neural regeneration in echinoderms may be related to suppression of excitotoxicity.
conclusionsOur transcriptomic analysis corroborates existing data on cellular mechanisms implicated in regeneration in sea cucumbers. More importantly, however, it also illuminates new aspects of echinoderm regeneration, which have been scarcely studied or overlooked altogether. The most significant outcome of the present work is that it lays out a roadmap for future studies of regulatory mechanisms by providing a list of key candidate genes for functional analysis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.