A strategy to identify genomic expression at single-cell level or a small number of cells

Recent advances in functional genomics allow us to estimate the expression of several thousands of genes in the mammalian genome. Techniques such as microarrays, expressed tag sequencing (EST), serial analysis of gene expression (SAGE), subtractive cloning and differential display (DD), and two-dime...

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Autor principal:	Li,Biaoru
Lenguaje:	English
Publicado:	Pontificia Universidad Católica de Valparaíso 2005
Materias:	genome genomic expression genomic expression analysis at single cell single cell
Acceso en línea:	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000100011
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spelling	oai:scielo:S0717-345820050001000112005-08-17A strategy to identify genomic expression at single-cell level or a small number of cellsLi,Biaoru genome genomic expression genomic expression analysis at single cell single cell Recent advances in functional genomics allow us to estimate the expression of several thousands of genes in the mammalian genome. Techniques such as microarrays, expressed tag sequencing (EST), serial analysis of gene expression (SAGE), subtractive cloning and differential display (DD), and two-dimensional electrophoresis gel have been extensively used to screen and analyze parallel gene expression. Some pathological processes, for example, tumorigenesis and solid tumour growth, in which the former is derived from a single-cell and the latter has a mixed-cell problem, present new challenges to the limit of these functional genomic techniques. To fully understand the functions of cells in tumorigenesis or in heterogeneous solid tumour masses, it is essential for scientists and physicians to develop a strategy to identify genomic expression profiles for a single-cell or for small numbers of cells. In this article, we review recently developed methods that enable functional genomic analysis at the single-cell or multi-cell level. In addition, the paper will review different techniques of single-cell genomic expression at the level of DNA, mRNA, protein and post-translational modifications.info:eu-repo/semantics/openAccessPontificia Universidad Católica de ValparaísoElectronic Journal of Biotechnology v.8 n.1 20052005-04-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000100011en
institution	Scielo Chile
collection	Scielo Chile
language	English
topic	genome genomic expression genomic expression analysis at single cell single cell
spellingShingle	genome genomic expression genomic expression analysis at single cell single cell Li,Biaoru A strategy to identify genomic expression at single-cell level or a small number of cells
description	Recent advances in functional genomics allow us to estimate the expression of several thousands of genes in the mammalian genome. Techniques such as microarrays, expressed tag sequencing (EST), serial analysis of gene expression (SAGE), subtractive cloning and differential display (DD), and two-dimensional electrophoresis gel have been extensively used to screen and analyze parallel gene expression. Some pathological processes, for example, tumorigenesis and solid tumour growth, in which the former is derived from a single-cell and the latter has a mixed-cell problem, present new challenges to the limit of these functional genomic techniques. To fully understand the functions of cells in tumorigenesis or in heterogeneous solid tumour masses, it is essential for scientists and physicians to develop a strategy to identify genomic expression profiles for a single-cell or for small numbers of cells. In this article, we review recently developed methods that enable functional genomic analysis at the single-cell or multi-cell level. In addition, the paper will review different techniques of single-cell genomic expression at the level of DNA, mRNA, protein and post-translational modifications.
author	Li,Biaoru
author_facet	Li,Biaoru
author_sort	Li,Biaoru
title	A strategy to identify genomic expression at single-cell level or a small number of cells
title_short	A strategy to identify genomic expression at single-cell level or a small number of cells
title_full	A strategy to identify genomic expression at single-cell level or a small number of cells
title_fullStr	A strategy to identify genomic expression at single-cell level or a small number of cells
title_full_unstemmed	A strategy to identify genomic expression at single-cell level or a small number of cells
title_sort	strategy to identify genomic expression at single-cell level or a small number of cells
publisher	Pontificia Universidad Católica de Valparaíso
publishDate	2005
url	http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-34582005000100011
work_keys_str_mv	AT libiaoru astrategytoidentifygenomicexpressionatsinglecelllevelorasmallnumberofcells AT libiaoru strategytoidentifygenomicexpressionatsinglecelllevelorasmallnumberofcells
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A strategy to identify genomic expression at single-cell level or a small number of cells

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