[HTML][HTML] Transcriptomes of human prostate cells
AJ Oudes, DS Campbell, CM Sorensen, LS Walashek…�- BMC genomics, 2006 - Springer
Background The gene expression profiles of most human tissues have been studied by
determining the transcriptome of whole tissue homogenates. Due to the solid composition of
tissues it is difficult to study the transcriptomes of individual cell types that compose a tissue.
To overcome the problem of heterogeneity we have developed a method to isolate
individual cell types from whole tissue that are a source of RNA suitable for transcriptome
profiling. Results Using monoclonal antibodies specific for basal (integrin β4), luminal�…
determining the transcriptome of whole tissue homogenates. Due to the solid composition of
tissues it is difficult to study the transcriptomes of individual cell types that compose a tissue.
To overcome the problem of heterogeneity we have developed a method to isolate
individual cell types from whole tissue that are a source of RNA suitable for transcriptome
profiling. Results Using monoclonal antibodies specific for basal (integrin β4), luminal�…
Background
The gene expression profiles of most human tissues have been studied by determining the transcriptome of whole tissue homogenates. Due to the solid composition of tissues it is difficult to study the transcriptomes of individual cell types that compose a tissue. To overcome the problem of heterogeneity we have developed a method to isolate individual cell types from whole tissue that are a source of RNA suitable for transcriptome profiling.
Results
Using monoclonal antibodies specific for basal (integrin β4), luminal secretory (dipeptidyl peptidase IV), stromal fibromuscular (integrin α 1), and endothelial (PECAM-1) cells, respectively, we separated the cell types of the prostate with magnetic cell sorting (MACS). Gene expression of MACS-sorted cell populations was assessed with Affymetrix GeneChips. Analysis of the data provided insight into gene expression patterns at the level of individual cell populations in the prostate.
Conclusion
In this study, we have determined the transcriptome profile of a solid tissue at the level of individual cell types. Our data will be useful for studying prostate development and cancer progression in the context of single cell populations within the organ.
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