Literature DB >> 17027690

Functional genomic methodologies.

Stephen D Ginsberg1, Károly Mirnics.   

Abstract

The ability to form tenable hypotheses regarding the neurobiological basis of normative functions as well as mechanisms underlying neurodegenerative and neuropsychiatric disorders is often limited by the highly complex brain circuitry and the cellular and molecular mosaics therein. The brain is an intricate structure with heterogeneous neuronal and nonneuronal cell populations dispersed throughout the central nervous system. Varied and diverse brain functions are mediated through gene expression, and ultimately protein expression, within these cell types and interconnected circuits. Large-scale high-throughput analysis of gene expression in brain regions and individual cell populations using modern functional genomics technologies has enabled the simultaneous quantitative assessment of dozens to hundreds to thousands of genes. Technical and experimental advances in the accession of tissues, RNA amplification technologies, and the refinement of downstream genetic methodologies including microarray analysis and real-time quantitative PCR have generated a wellspring of informative studies pertinent to understanding brain structure and function. In this review, we outline the advantages as well as some of the potential challenges of applying high throughput functional genomics technologies toward a better understanding of brain tissues and diseases using animal models as well as human postmortem tissues.

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Year:  2006        PMID: 17027690     DOI: 10.1016/S0079-6123(06)58002-1

Source DB:  PubMed          Journal:  Prog Brain Res        ISSN: 0079-6123            Impact factor:   2.453


  19 in total

1.  Microarray analysis of CA1 pyramidal neurons in a mouse model of tauopathy reveals progressive synaptic dysfunction.

Authors:  Melissa J Alldred; Karen E Duff; Stephen D Ginsberg
Journal:  Neurobiol Dis       Date:  2011-11-07       Impact factor: 5.996

Review 2.  Rodent models and contemporary molecular techniques: notable feats yet incomplete explanations of Parkinson's disease pathogenesis.

Authors:  Sharawan Yadav; Anubhuti Dixit; Sonal Agrawal; Ashish Singh; Garima Srivastava; Anand Kumar Singh; Pramod Kumar Srivastava; Om Prakash; Mahendra Pratap Singh
Journal:  Mol Neurobiol       Date:  2012-06-27       Impact factor: 5.590

3.  Transcriptional profiling of small samples in the central nervous system.

Authors:  Stephen D Ginsberg
Journal:  Methods Mol Biol       Date:  2008

4.  Gene expression levels assessed by CA1 pyramidal neuron and regional hippocampal dissections in Alzheimer's disease.

Authors:  Stephen D Ginsberg; Melissa J Alldred; Shaoli Che
Journal:  Neurobiol Dis       Date:  2011-07-28       Impact factor: 5.996

Review 5.  Schizophrenia as a disorder of molecular pathways.

Authors:  Szatmár Horváth; Károly Mirnics
Journal:  Biol Psychiatry       Date:  2014-01-10       Impact factor: 13.382

6.  Upregulation of select rab GTPases in cholinergic basal forebrain neurons in mild cognitive impairment and Alzheimer's disease.

Authors:  Stephen D Ginsberg; Elliott J Mufson; Melissa J Alldred; Scott E Counts; Joanne Wuu; Ralph A Nixon; Shaoli Che
Journal:  J Chem Neuroanat       Date:  2011-06-12       Impact factor: 3.052

7.  Expression profile analysis of vulnerable CA1 pyramidal neurons in young-Middle-Aged Ts65Dn mice.

Authors:  Melissa J Alldred; Sang Han Lee; Eva Petkova; Stephen D Ginsberg
Journal:  J Comp Neurol       Date:  2014-08-30       Impact factor: 3.215

Review 8.  Epigenetic regulation in human brain-focus on histone lysine methylation.

Authors:  Schahram Akbarian; Hsien-Sung Huang
Journal:  Biol Psychiatry       Date:  2008-09-24       Impact factor: 13.382

Review 9.  Target identification for CNS diseases by transcriptional profiling.

Authors:  C Anthony Altar; Marquis P Vawter; Stephen D Ginsberg
Journal:  Neuropsychopharmacology       Date:  2008-10-15       Impact factor: 7.853

10.  Expression profile analysis of hippocampal CA1 pyramidal neurons in aged Ts65Dn mice, a model of Down syndrome (DS) and Alzheimer's disease (AD).

Authors:  Melissa J Alldred; Sang Han Lee; Eva Petkova; Stephen D Ginsberg
Journal:  Brain Struct Funct       Date:  2014-07-17       Impact factor: 3.270

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