Literature DB >> 16840515

Electrophysiological and gene expression profiling of neuronal cell types in mammalian neocortex.

Kojiro Yano1, Tatiana Subkhankulova, Frederick J Livesey, Hugh P C Robinson.   

Abstract

It is a challenging question to understand how different neuronal types are organized into a complex architecture in the cortex, an architecture which is also adapted in different regions to subserve very different functions. Recent developments in genetic and molecular techniques have opened up the possibility of using gene expression profiling for neuronal cell typing, with the aim of uncovering novel cell types and the underlying mechanisms which generate and maintain neuronal heterogeneity in the cortex. This review introduces some current ideas about neuronal cell types in the cortex and describes recent approaches to expression profiling for defining cortical neuronal cell types.

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Year:  2006        PMID: 16840515      PMCID: PMC1819463          DOI: 10.1113/jphysiol.2006.113712

Source DB:  PubMed          Journal:  J Physiol        ISSN: 0022-3751            Impact factor:   5.182


  34 in total

Review 1.  Cellular distribution of the calcium-binding proteins parvalbumin, calbindin, and calretinin in the neocortex of mammals: phylogenetic and developmental patterns.

Authors:  P R Hof; I I Glezer; F Condé; R A Flagg; M B Rubin; E A Nimchinsky; D M Vogt Weisenhorn
Journal:  J Chem Neuroanat       Date:  1999-02       Impact factor: 3.052

2.  GABAergic cell subtypes and their synaptic connections in rat frontal cortex.

Authors:  Y Kawaguchi; Y Kubota
Journal:  Cereb Cortex       Date:  1997-09       Impact factor: 5.357

3.  Threshold firing frequency-current relationships of neurons in rat somatosensory cortex: type 1 and type 2 dynamics.

Authors:  T Tateno; A Harsch; H P C Robinson
Journal:  J Neurophysiol       Date:  2004-10       Impact factor: 2.714

4.  Dendritic localization of the RNA-binding protein HuD in hippocampal neurons: association with polysomes and upregulation during contextual learning.

Authors:  Federico Bolognani; Melissa A Merhege; Jeffery Twiss; Nora I Perrone-Bizzozero
Journal:  Neurosci Lett       Date:  2004-11-23       Impact factor: 3.046

Review 5.  Gene expression profiling of human cancers.

Authors:  Giselda Bucca; Giuseppe Carruba; Analisa Saetta; Paula Muti; Luigi Castagnetta; Colin P Smith
Journal:  Ann N Y Acad Sci       Date:  2004-12       Impact factor: 5.691

6.  Comparative localization of two forms of glutamic acid decarboxylase and their mRNAs in rat brain supports the concept of functional differences between the forms.

Authors:  M Esclapez; N J Tillakaratne; D L Kaufman; A J Tobin; C R Houser
Journal:  J Neurosci       Date:  1994-03       Impact factor: 6.167

7.  Regional distribution and relative amounts of glutamate decarboxylase isoforms in rat and mouse brain.

Authors:  S N Sheikh; S B Martin; D L Martin
Journal:  Neurochem Int       Date:  1999-07       Impact factor: 3.921

8.  Expression of two forms of glutamic acid decarboxylase (GAD67 and GAD65) during postnatal development of the cat visual cortex.

Authors:  Y Guo; I V Kaplan; N G Cooper; G D Mower
Journal:  Brain Res Dev Brain Res       Date:  1997-11-12

9.  Postnatal development of somatostatin- and neuropeptide Y-immunoreactive neurons in rat cerebral cortex: a double-labeling immunohistochemical study.

Authors:  E Y Lee; T S Lee; S H Baik; C I Cha
Journal:  Int J Dev Neurosci       Date:  1998-02       Impact factor: 2.457

10.  Comparative evaluation of linear and exponential amplification techniques for expression profiling at the single-cell level.

Authors:  Tatiana Subkhankulova; Frederick J Livesey
Journal:  Genome Biol       Date:  2006-03-07       Impact factor: 13.583

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  5 in total

1.  The mammalian transcriptome and the cellular complexity of the brain.

Authors:  Enrico Cherubini; S Gustincich; H Robinson
Journal:  J Physiol       Date:  2006-08-03       Impact factor: 5.182

2.  Using constellation pharmacology to define comprehensively a somatosensory neuronal subclass.

Authors:  Russell W Teichert; Tosifa Memon; Joseph W Aman; Baldomero M Olivera
Journal:  Proc Natl Acad Sci U S A       Date:  2014-01-27       Impact factor: 11.205

3.  Grouping and classifying electrophysiologically-defined classes of neocortical neurons by single cell, whole-genome expression profiling.

Authors:  Tatiana Subkhankulova; Kojiro Yano; Hugh P C Robinson; Frederick J Livesey
Journal:  Front Mol Neurosci       Date:  2010-04-13       Impact factor: 5.639

Review 4.  Cerebral cortical neuron diversity and development at single-cell resolution.

Authors:  Matthew B Johnson; Christopher A Walsh
Journal:  Curr Opin Neurobiol       Date:  2016-11-23       Impact factor: 6.627

5.  Kv4.2 channel activity controls intrinsic firing dynamics of arcuate kisspeptin neurons.

Authors:  Philipe R F Mendonça; Victoria Kyle; Shel-Hwa Yeo; William H Colledge; Hugh P C Robinson
Journal:  J Physiol       Date:  2018-01-11       Impact factor: 5.182

  5 in total

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