Literature DB >> 16714064

The problem of neuronal cell types: a physiological genomics approach.

Sacha B Nelson1, Ken Sugino, Chris M Hempel.   

Abstract

Neural circuits within the vertebrate brain are composed of highly diverse cell types. The exact extent of this diversity is a matter of continuing debate. For example, do cortical interneurons comprise a few, dozens or >100 distinct cell types? Recently, several groups have used microarrays to measure genome-wide gene expression profiles for specific neuronal cell types. These methods can offer an objective basis for neuronal classification. In this review, we argue that this approach should now be carried out more broadly and that it should be coupled to large-scale efforts to generate mouse driver lines in which tools for genetic manipulation, such as the Cre recombinase, are expressed in identified cell types within the brain. This would enable neuroscientists to begin to investigate more systematically the roles of specific genes in establishing particular cellular phenotypes, and also the roles of particular cell types within brain circuits. This review is part of the TINS special issue on The Neural Substrates of Cognition.

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Year:  2006        PMID: 16714064     DOI: 10.1016/j.tins.2006.05.004

Source DB:  PubMed          Journal:  Trends Neurosci        ISSN: 0166-2236            Impact factor:   13.837


  81 in total

1.  Functional profiling of neurons through cellular neuropharmacology.

Authors:  Russell W Teichert; Nathan J Smith; Shrinivasan Raghuraman; Doju Yoshikami; Alan R Light; Baldomero M Olivera
Journal:  Proc Natl Acad Sci U S A       Date:  2012-01-23       Impact factor: 11.205

2.  Transcriptional code and disease map for adult retinal cell types.

Authors:  Sandra Siegert; Erik Cabuy; Brigitte Gross Scherf; Hubertus Kohler; Satchidananda Panda; Yun-Zheng Le; Hans Jörg Fehling; Dimos Gaidatzis; Michael B Stadler; Botond Roska
Journal:  Nat Neurosci       Date:  2012-01-22       Impact factor: 24.884

3.  Single-cell profiling of developing and mature retinal neurons.

Authors:  Jillian J Goetz; Jeffrey M Trimarchi
Journal:  J Vis Exp       Date:  2012-04-19       Impact factor: 1.355

4.  The vesicular glutamate transporter-1 upstream promoter and first intron each support glutamatergic-specific expression in rat postrhinal cortex.

Authors:  Guo-rong Zhang; Xu Li; Haiyan Cao; Hua Zhao; Alfred I Geller
Journal:  Brain Res       Date:  2010-12-21       Impact factor: 3.252

5.  Transcription factors expressed in olfactory bulb local progenitor cells revealed by genome-wide transcriptome profiling.

Authors:  Gordon R O Campbell; Ariane Baudhuin; Karen Vranizan; John Ngai
Journal:  Mol Cell Neurosci       Date:  2010-12-29       Impact factor: 4.314

6.  Surprising gene expression patterns within and between PDF-containing circadian neurons in Drosophila.

Authors:  Elzbieta Kula-Eversole; Emi Nagoshi; Yuhua Shang; Joseph Rodriguez; Ravi Allada; Michael Rosbash
Journal:  Proc Natl Acad Sci U S A       Date:  2010-07-12       Impact factor: 11.205

7.  Subplate in the developing cortex of mouse and human.

Authors:  Wei Zhi Wang; Anna Hoerder-Suabedissen; Franziska M Oeschger; Nadhim Bayatti; Bui Kar Ip; Susan Lindsay; Veena Supramaniam; Latha Srinivasan; Mary Rutherford; Kjeld Møllgård; Gavin J Clowry; Zoltán Molnár
Journal:  J Anat       Date:  2010-08-18       Impact factor: 2.610

8.  Classifying neuronal subclasses of the cerebellum through constellation pharmacology.

Authors:  Kigen J Curtice; Lee S Leavitt; Kevin Chase; Shrinivasan Raghuraman; Martin P Horvath; Baldomero M Olivera; Russell W Teichert
Journal:  J Neurophysiol       Date:  2015-11-18       Impact factor: 2.714

Review 9.  Optrodes for combined optogenetics and electrophysiology in live animals.

Authors:  Suzie Dufour; Yves De Koninck
Journal:  Neurophotonics       Date:  2015-07-02       Impact factor: 3.593

Review 10.  Towards the automatic classification of neurons.

Authors:  Rubén Armañanzas; Giorgio A Ascoli
Journal:  Trends Neurosci       Date:  2015-03-09       Impact factor: 13.837

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