Evidence map›Paper›PMID 27471010›Full record

ArticleDevelopmental biology2017

Translational profiling of retinal ganglion cell optic nerve regeneration in Xenopus laevis.

G B Whitworth, B C Misaghi, D M Rosenthal, E A Mills, D J Heinen, A H Watson, C W Ives, S H Ali, K Bezold, N Marsh-Armstrong and 1 more

Open access · greenAbstract read
In one paragraph

Article in Developmental biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-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

16 citing papers in PubMed, 29 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. microPublication biology · 2023
    Article
  11. The basic science of optic nerve regeneration.Annals of translational medicine · 2021
    Review
  12. Article
  13. Article
  14. Review
  15. Review
  16. Timing of neuronal plasticity in development and aging.Wiley interdisciplinary reviews. Developmental biology · 2018
    Review
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

11 authors at 2 institutions in 1 country.

G B WhitworthDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
B C MisaghiDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
D M RosenthalDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
E A MillsJohns Hopkins University School of Medicine, Solomon H. Snyder Dept. of Neuroscience and Hugo Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States.
D J HeinenDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
A H WatsonDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
C W IvesDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
S H AliDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
K BezoldDepartment of Biology, Washington and Lee University, Lexington, VA, United States.
N Marsh-ArmstrongJohns Hopkins University School of Medicine, Solomon H. Snyder Dept. of Neuroscience and Hugo Moser Research Institute at Kennedy Krieger, Baltimore, MD, United States.
F L WatsonDepartment of Biology, Washington and Lee University, Lexington, VA, United States. Electronic address: watsonf@wlu.edu.
Washington and Lee University · USKennedy Krieger Institute · US

Funding

Medical Scientist Training Program Training GrantT32GM145449 · NIGMS · DUKE UNIVERSITY · PI Christopher D Kontos · 2022 to 2026
$6.6M
Optic nerve head synucleinopathy in glaucoma and the function of gamma-synucleinR01EY019960 · NEI · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI MARSH-ARMSTRONG, NICHOLAS R · 2011 to 2013
$1.2M
NEI NIH HHS R01 EY019960NIGMS NIH HHS T32 GM145449
6 · The paper itself

Abstract

Unlike adult mammals, adult frogs regrow their optic nerve following a crush injury, making Xenopus laevis a compelling model for studying the molecular mechanisms that underlie neuronal regeneration. Using Translational Ribosome Affinity Purification (TRAP), a method to isolate ribosome-associated mRNAs from a target cell population, we have generated a transcriptional profile by RNA-Seq for retinal ganglion cells (RGC) during the period of recovery following an optic nerve injury. Based on bioinformatic analysis using the Xenopus laevis 9.1 genome assembly, our results reveal a profound shift in the composition of ribosome-associated mRNAs during the early stages of RGC regeneration. As factors involved in cell signaling are rapidly down-regulated, those involved in protein biosynthesis are up-regulated alongside key initiators of axon development. Using the new genome assembly, we were also able to analyze gene expression profiles of homeologous gene pairs arising from a whole-genome duplication in the Xenopus lineage. Here we see evidence of divergence in regulatory control among a significant proportion of pairs. Our data should provide a valuable resource for identifying genes involved in the regeneration process to target for future functional studies, in both naturally regenerative and non-regenerative vertebrates.

Indexed as

Gene Expression RegulationAmino Acid SequenceAnimalsAnimals, Genetically ModifiedEye ProteinsGene OntologyMolecular Sequence AnnotationNerve CrushNerve RegenerationNerve Tissue ProteinsOptic Nerve InjuriesRetinal Ganglion CellsRibosomesRNA, MessengerSequence AlignmentSequence Analysis, RNAEye ProteinsNerve Tissue ProteinsRNA, MessengerXenopus ProteinsExpression profileOptic nerve crush injuryTRAP

Identifiers

PMID27471010
PMCPMC5897040
OpenAlexW2482016814

What OpenQuestion holds

Textmetadata
LicenceTDM
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.