title: Large-scale analysis of neural stem cells and progenitor cells.
abstract: The past few years have seen remarkable progress in our understanding of stem cell biology. The wealth of genomic data and the multiplicity of sources have enabled researchers to begin to profile stem cells in detail. In this paper we describe the biological and technical controls necessary to obtain reliable data and the relative merits of various large-scale analytical techniques including microarray, expressed sequence tag enumeration, serial analysis of gene expression and massively parallel signature sequencing. We suggest that while much has been learned, additional information remains to be gleaned by meta-analysis of existing data.
authors.affiliation: Gerontology Research Center, Stem Cell Biology Unit/Laboratory of Neurosciences, National Institute on Aging, National Institutes of Health, Baltimore, MD 21224, USA.
authors.forename: Soojung
authors.initials: S
authors.lastname: Shin
authors.forename: Mahendra S
authors.initials: MS
authors.lastname: Rao
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods* / Q000592:standards; D023281:Genomics / Q000379:methods* / Q000592:standards; D006801:Humans; D009474:Neurons / Q000166:cytology*; D013234:Stem Cells / Q000166:cytology* / Q000502:physiology*