title: Bringing Blood Stem Cell Phenotype, Genotype, and Function Closer Together.
abstract: Imperfect purity, subtypes, and retrospective functional assays compromise efforts to define the molecular identity of hematopoietic stem cells (HSCs). In this issue of Cell Stem Cell, Wilson et al. (2015) use a single-cell-based bioinformatics-experimental strategy to extract a consensus molecular signature from heterogeneous HSC pools. Their data and strategy provide a powerful resource for stem cell characterization.
authors.affiliation: The Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3E1, Canada; The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada.
authors.forename: Wenlian
authors.initials: W
authors.lastname: Qiao
authors.affiliation: The Institute of Biomaterials and Biomedical Engineering, University of Toronto, Toronto, ON M5S 3E1, Canada; The Donnelly Centre for Cellular and Biomolecular Research, University of Toronto, Toronto, ON M5S 3E1, Canada. Electronic address: peter.zandstra@utoronto.ca.
authors.forename: Peter W
authors.initials: PW
authors.lastname: Zandstra
mesh_terms: D000818:Animals; D005786:Gene Expression Regulation; D006412:Hematopoietic Stem Cells / Q000166:cytology* / Q000378:metabolism*; D006801:Humans; D059010:Single-Cell Analysis / Q000379:methods*