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Gene expression profiling of single cells on large-scale oligonucleotide arrays
Over the last decade, important insights into the regulation of cellular responses to various stimuli were gained by global gene expression analyses of cell populations. More recently, specific cell functions and underlying regulatory networks of rare cells isolated from their natural environment mo...
Autores principales: | , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2006
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635316/ https://www.ncbi.nlm.nih.gov/pubmed/17071717 http://dx.doi.org/10.1093/nar/gkl740 |
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author | Hartmann, Claudia H. Klein, Christoph A. |
author_facet | Hartmann, Claudia H. Klein, Christoph A. |
author_sort | Hartmann, Claudia H. |
collection | PubMed |
description | Over the last decade, important insights into the regulation of cellular responses to various stimuli were gained by global gene expression analyses of cell populations. More recently, specific cell functions and underlying regulatory networks of rare cells isolated from their natural environment moved to the center of attention. However, low cell numbers still hinder gene expression profiling of rare ex vivo material in biomedical research. Therefore, we developed a robust method for gene expression profiling of single cells on high-density oligonucleotide arrays with excellent coverage of low abundance transcripts. The protocol was extensively tested with freshly isolated single cells of very low mRNA content including single epithelial, mature and immature dendritic cells and hematopoietic stem cells. Quantitative PCR confirmed that the PCR-based global amplification method did not change the relative ratios of transcript abundance and unsupervised hierarchical cluster analysis revealed that the histogenetic origin of an individual cell is correctly reflected by the gene expression profile. Moreover, the gene expression data from dendritic cells demonstrate that cellular differentiation and pathway activation can be monitored in individual cells. |
format | Text |
id | pubmed-1635316 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-16353162006-12-28 Gene expression profiling of single cells on large-scale oligonucleotide arrays Hartmann, Claudia H. Klein, Christoph A. Nucleic Acids Res Methods Online Over the last decade, important insights into the regulation of cellular responses to various stimuli were gained by global gene expression analyses of cell populations. More recently, specific cell functions and underlying regulatory networks of rare cells isolated from their natural environment moved to the center of attention. However, low cell numbers still hinder gene expression profiling of rare ex vivo material in biomedical research. Therefore, we developed a robust method for gene expression profiling of single cells on high-density oligonucleotide arrays with excellent coverage of low abundance transcripts. The protocol was extensively tested with freshly isolated single cells of very low mRNA content including single epithelial, mature and immature dendritic cells and hematopoietic stem cells. Quantitative PCR confirmed that the PCR-based global amplification method did not change the relative ratios of transcript abundance and unsupervised hierarchical cluster analysis revealed that the histogenetic origin of an individual cell is correctly reflected by the gene expression profile. Moreover, the gene expression data from dendritic cells demonstrate that cellular differentiation and pathway activation can be monitored in individual cells. Oxford University Press 2006-12 2006-10-27 /pmc/articles/PMC1635316/ /pubmed/17071717 http://dx.doi.org/10.1093/nar/gkl740 Text en © 2006 The Author(s) |
spellingShingle | Methods Online Hartmann, Claudia H. Klein, Christoph A. Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title | Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title_full | Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title_fullStr | Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title_full_unstemmed | Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title_short | Gene expression profiling of single cells on large-scale oligonucleotide arrays |
title_sort | gene expression profiling of single cells on large-scale oligonucleotide arrays |
topic | Methods Online |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1635316/ https://www.ncbi.nlm.nih.gov/pubmed/17071717 http://dx.doi.org/10.1093/nar/gkl740 |
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