Evidence map›Paper›PMID 27809760›Full record

ArticleBMC genomics2016

Deep sequencing of transcriptomes from the nervous systems of two decapod crustaceans to characterize genes important for neural circuit function and modulation.

Adam J Northcutt, Kawasi M Lett, Virginia B Garcia, Clare M Diester, Brian J Lane, Eve Marder, David J Schulz

Open access · goldAbstract read
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 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
6.4field-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

44 citing papers in PubMed, 92 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. The effects of doxapram and its potential interactions with K2P channels in experimental model preparations.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2024
    Article
  9. Article
  10. The Brain's Best Kept Secret Is Its Degenerate Structure.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Neuronal morphology enhances robustness to perturbations of channel densities.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  17. Identification and Characterization of 5-HT Receptor 1 fromInternational journal of molecular sciences · 2023
    Article
  18. Article
  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

7 authors at 2 institutions in 1 country.

Adam J NorthcuttDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA.
Kawasi M LettDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA.
Virginia B GarciaDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA.
Clare M DiesterDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA.
Brian J LaneDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA.
Eve MarderVolen Center and Biology Department, Brandeis University, Waltham, MA, USA.
David J SchulzDivision of Biological Sciences, University of Missouri-Columbia, Columbia, MO, USA. schulzd@missouri.edu.
University of Missouri · USBrandeis University · US

Funding

Variability and Compensation in Reliable Neuronal NetworksR01MH046742 · NIMH · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 1990 to 2025
$7.8M
MOLECULAR BASIS OF GENE EXPRESSION AND SIGNAL PROCESSINGT32GM008396 · NIGMS · UNIVERSITY OF MISSOURI-COLUMBIA · PI HANNINK, MARK · 1991 to 2021
$4.1M
INTRINSIC PLASTICITY IN OSCILLATORY NEURAL NETWORKSR37MH046742 · NIMH · BRANDEIS UNIVERSITY · PI MARDER, EVE E · 1995 to 2004
$1.5M
NIGMS NIH HHS T32 GM008396NIMH NIH HHS R01 MH046742NIMH NIH HHS R37 MH046742
6 · The paper itself

Abstract

backgroundCrustaceans have been studied extensively as model systems for nervous system function from single neuron properties to behavior. However, lack of molecular sequence information and tools have slowed the adoption of these physiological systems as molecular model systems. In this study, we sequenced and performed de novo assembly for the nervous system transcriptomes of two decapod crustaceans: the Jonah crab (Cancer borealis) and the American lobster (Homarus americanus).

resultsForty-two thousand, seven hundred sixty-six and sixty thousand, two hundred seventy-three contigs were assembled from C. borealis and H. americanus respectively, representing 9,489 and 11,061 unique coding sequences. From these transcripts, genes associated with neural function were identified and manually curated to produce a characterization of multiple gene families important for nervous system function. This included genes for 34 distinct ion channel types, 17 biogenic amine and 5 GABA receptors, 28 major transmitter receptor subtypes including glutamate and acetylcholine receptors, and 6 gap junction proteins - the Innexins.

conclusionWith this resource, crustacean model systems are better poised for incorporation of modern genomic and molecular biology technologies to further enhance the interrogation of fundamentals of nervous system function.

Indexed as

Genetic Association StudiesHigh-Throughput Nucleotide SequencingTranscriptomeAnimalsCluster AnalysisComputational BiologyDecapodaGene Expression ProfilingGene OntologyIon ChannelsMolecular Sequence AnnotationNervous System Physiological PhenomenaNeurotransmitter AgentsIon ChannelsNeurotransmitter AgentsCrustaceanIon channelNeurotransmittersStomatogastricTranscriptome

Identifiers

PMID27809760
PMCPMC5096308
OpenAlexW2547773721

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.