Evidence map›Paper›PMID 20536287›Full record

ArticleJournal of neurogenetics2010

Differential evolutionary rates of neuronal transcriptome in Aplysia kurodai and Aplysia californica as a tool for gene mining.

Sun-Lim Choi, Yong-Seok Lee, Young-Soo Rim, Tae-Hyung Kim, Leonid L Moroz, Eric R Kandel, Jong Bhak, Bong-Kiun Kaang

Open access · greenAbstract readComparative Study
In one paragraph

Article in Journal of neurogenetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

8 authors at 3 institutions in 3 countries.

Sun-Lim ChoiNational Creative Research Initiative Center for Memory and Institute of Molecular Biology and Genetics, Department of Biological Sciences, College of Natural Sciences, Seoul National University, Bldg 504, Rm 202, 599 Gwanangno, Gwanak-gu, Seoul 151-747, Korea.
Yong-Seok Lee
Young-Soo Rim
Tae-Hyung Kim
Leonid L Moroz
Eric R Kandel
Jong Bhak
Bong-Kiun Kaang
Creative Research · GBColumbia University · USUniversity of Florida · US

Funding

Molecular Engineering Approach to Study Long Term Synaptic PlasticityR01NS060762 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI JU, JINGYUE · 2008 to 2011
$2.3M
NOS-INDEPENDENT NO PRODUCTION IN THE NERVOUS SYSTEMR01NS039103 · NINDS · UNIVERSITY OF FLORIDA · PI MOROZ, LEONID L · 1999 to 2002
$530k
Genomic Dissection of Circuit DynamicsR21RR025699 · NCRR · UNIVERSITY OF FLORIDA · PI BUCHER, DIRK MARTIN, MOROZ, LEONID L · 2009 to 2010
$408k
Spatial Organization of the Genome in Identified Neurons of Memory CircuitsR21DA030118 · NIDA · UNIVERSITY OF FLORIDA · PI MOROZ, LEONID L · 2010 to 2011
$350k
NCRR NIH HHS R21 RR025699NIDA NIH HHS R21 DA030118NINDS NIH HHS R01 NS039103NINDS NIH HHS R01 NS060762
6 · The paper itself

Abstract

The marine mollusk Aplysia is a fascinating model organism for studying molecular mechanisms underlying learning and memory. However, evolutionary studies about Aplysia have been limited by the lack of its genomic information. Recently, large-scale expressed sequence tag (EST) databases have been acquired by sequencing cDNA libraries from A. californica and A. kurodai. The closeness between the two species allowed us to investigate rapidly evolving genes by comparing their orthologs. Using this method, we found that a subset of signal transduction genes in neurons showed rates of protein evolution higher than those of housekeeping genes. Moreover, we were also able to find several candidate genes that may be involved in learning and memory or synaptic plasticity among genes showing relatively higher K(a)/K(s) ratios. We also investigated the relationship between evolutionary rates and tissue distribution of Aplysia genes. They propose that the estimation of evolutionary rates cannot be a good marker to assess neuronal expression; however, it still can be an efficient way to narrow down the pool of candidate genes involved in neuronal functions for the further studies.

Indexed as

Evolution, MolecularGene Expression ProfilingAnimalsAplysiaData MiningGene Expression RegulationGene LibraryGene Regulatory NetworksModels, AnimalNerve Tissue ProteinsNeuronsProteomicsSignal TransductionSpecies SpecificityTime FactorsNerve Tissue Proteins

Identifiers

PMID20536287
PMCPMC8212809
OpenAlexW1989929067

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.