Abstract
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 multicell 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.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 71-81 |
| Number of pages | 11 |
| Journal | Electronic Journal of Biotechnology |
| Volume | 8 |
| Issue number | 1 |
| DOIs | |
| State | Published - Apr 15 2005 |
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Keywords
- Genome
- Genomic expression
- Genomic expression analysis at single cell
- Single cell
ASJC Scopus subject areas
- Biotechnology
- Applied Microbiology and Biotechnology
Cite this
A strategy to identify genomic expression at single-cell level or a small number of cells. / Li, Biaoru.
In: Electronic Journal of Biotechnology, Vol. 8, No. 1, 15.04.2005, p. 71-81.Research output: Contribution to journal › Review article
}
TY - JOUR
T1 - A strategy to identify genomic expression at single-cell level or a small number of cells
AU - Li, Biaoru
PY - 2005/4/15
Y1 - 2005/4/15
N2 - 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 multicell 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.
AB - 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 multicell 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.
KW - Genome
KW - Genomic expression
KW - Genomic expression analysis at single cell
KW - Single cell
UR - http://www.scopus.com/inward/record.url?scp=19344374851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=19344374851&partnerID=8YFLogxK
U2 - 10.2225/vol8-issue1-fulltext-3
DO - 10.2225/vol8-issue1-fulltext-3
M3 - Review article
AN - SCOPUS:19344374851
VL - 8
SP - 71
EP - 81
JO - Electronic Journal of Biotechnology
JF - Electronic Journal of Biotechnology
SN - 0717-3458
IS - 1
ER -