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

Published online by Cambridge University Press:  15 October 2012

Oksana Yu. Naumova ,
Dean Palejev ,
Natalia V. Vlasova ,
Maria Lee ,
Sergei Yu. Rychkov ,
Olga N. Babich ,
Flora M. Vaccarino  and
Elena L. Grigorenko
Oksana Yu. Naumova
Affiliation:
Yale University Vavilov Institute of General Genetics RAS
Dean Palejev
Affiliation:
Yale University
Natalia V. Vlasova
Affiliation:
Medical Academy for Continuous Education
Maria Lee
Affiliation:
Yale University
Sergei Yu. Rychkov
Affiliation:
Vavilov Institute of General Genetics RAS
Olga N. Babich
Affiliation:
Medical Academy for Continuous Education
Flora M. Vaccarino
Affiliation:
Yale University
Elena L. Grigorenko*
Affiliation:
Yale University Moscow State University Columbia University
*
Address correspondence and reprints requests to: Elena L. Grigorenko, Child Study Center, Yale University, 230 South Frontage Road, New Haven, CT 06519–1124; E-mail: elena.grigorenko@yale.edu.
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Abstract

The study of gene expression (i.e., the study of the transcriptome) in different cells and tissues allows us to understand the molecular mechanisms of their differentiation, development and functioning. In this article, we describe some studies of gene-expression profiling for the purposes of understanding developmental (age-related) changes in the brain using different technologies (e.g., DNA-Microarray) and the new and increasingly popular RNA-Seq. We focus on advancements in studies of gene expression in the human brain, which have provided data on the structure and age-related variability of the transcriptome in the brain. We present data on RNA-Seq of the transcriptome in three distinct areas of the neocortex from different ages: mature and elderly individuals. We report that most age-related transcriptional changes affect cellular signaling systems, and, as a result, the transmission of nerve impulses. In general, the results demonstrate the high potential of RNA-Seq for the study of distinctive features of gene expression among cortical areas and the changes in expression through normal and atypical development of the central nervous system.

Type
Articles
Information
Development and Psychopathology , Volume 24 , Issue 4: Contributions of the Genetic/Genomic Sciences to Developmental Psychopathology , November 2012 , pp. 1427 - 1442
Copyright
Copyright © Cambridge University Press 2012

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