Literature DB >> 10658179

High throughput analysis of gene expression in the human brain.

C Colantuoni1, A E Purcell, C M Bouton, J Pevsner.   

Abstract

The human brain is thought to have the greatest complexity of gene expression of any region of the body, reflecting the diverse functions of neurons and glia. Studies of gene expression in the human brain may yield fundamental information about the phenotype of brain cells in different stages of development, in different brain regions, and in different physiological and pathological states. As the human genome project nears completion, several technological advances allow the analysis of thousands of expressed genes in a small brain sample. This review describes available sources of human brain material, and several high throughput techniques used to measure the expression of thousands of genes. These techniques include expressed sequence tag (EST) sequencing of cDNA libraries; differential display; subtractive hybridization; serial analysis of gene expression (SAGE); and the emerging technology of high density DNA microarrays. Measurement of gene expression with microarrays and other technologies has potential applications in the study of human brain diseases, including cognitive disorders for which animal models are typically not available. Gene expression measurements may be used to identify genes that are abnormally regulated as a secondary consequence of a disease state, or to identify the response of brain cells to pharmacological treatments.

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Year:  2000        PMID: 10658179     DOI: 10.1002/(sici)1097-4547(20000101)59:1<1::aid-jnr1>3.0.co;2-2

Source DB:  PubMed          Journal:  J Neurosci Res        ISSN: 0360-4012            Impact factor:   4.164


  18 in total

Review 1.  Subtractive hybridization--genetic takeaways and the search for meaning.

Authors:  R J Byers; J A Hoyland; J Dixon; A J Freemont
Journal:  Int J Exp Pathol       Date:  2000-12       Impact factor: 1.925

2.  TissueInfo: high-throughput identification of tissue expression profiles and specificity.

Authors:  L Skrabanek; F Campagne
Journal:  Nucleic Acids Res       Date:  2001-11-01       Impact factor: 16.971

3.  Hypothalamic gene expression in reproductively photoresponsive and photorefractory Siberian hamsters.

Authors:  Brian J Prendergast; Bedrich Mosinger; Pappachan E Kolattukudy; Randy J Nelson
Journal:  Proc Natl Acad Sci U S A       Date:  2002-11-27       Impact factor: 11.205

4.  Gene expression during memory formation.

Authors:  Lionel Muller Igaz; Pedro Bekinschtein; Monica M R Vianna; Ivan Izquierdo; Jorge H Medina
Journal:  Neurotox Res       Date:  2004       Impact factor: 3.911

Review 5.  Single cell gene expression profiling in Alzheimer's disease.

Authors:  Stephen D Ginsberg; Shaoli Che; Scott E Counts; Elliott J Mufson
Journal:  NeuroRx       Date:  2006-07

6.  The abnormal regulation of gene expression in autistic brain tissue.

Authors:  A E Purcell; O H Jeon; J Pevsner
Journal:  J Autism Dev Disord       Date:  2001-12

Review 7.  Gene expression in the human brain: the current state of the study of specificity and spatiotemporal dynamics.

Authors:  Oksana Yu Naumova; Maria Lee; Sergei Yu Rychkov; Natalia V Vlasova; Elena L Grigorenko
Journal:  Child Dev       Date:  2012-11-12

Review 8.  Defining molecular and cellular responses after low and high linear energy transfer radiations to develop biomarkers of carcinogenic risk or therapeutic outcome.

Authors:  Michael Story; Liang-hao Ding; William A Brock; K Kian Ang; Ghazi Alsbeih; John Minna; Seongmi Park; Amit Das
Journal:  Health Phys       Date:  2012-11       Impact factor: 1.316

9.  Age-related changes of gene expression in the neocortex: preliminary data on RNA-Seq of the transcriptome in three functionally distinct cortical areas.

Authors:  Oksana Yu Naumova; Dean Palejev; Natalia V Vlasova; Maria Lee; Sergei Yu Rychkov; Olga N Babich; Flora M Vaccarino; Elena L Grigorenko
Journal:  Dev Psychopathol       Date:  2012-11

10.  One Decade Later: What has Gene Expression Profiling Told us About Neuronal Cell Types, Brain Function and Disease?

Authors:  Elva Díaz
Journal:  Curr Genomics       Date:  2009-08       Impact factor: 2.236

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