title: Single-cell technologies sharpen up mammalian stem cell research.
abstract: Analysis of the mechanisms underlying cell fates requires the molecular quantification of cellular features. Classical techniques use population average readouts at single time points. However, these approaches mask cellular heterogeneity and dynamics and are limited for studying rare and heterogeneous cell populations like stem cells. Techniques for single-cell analyses, ideally allowing non-invasive quantification of molecular dynamics and cellular behaviour over time, are required for studying stem cells. Here, we review the development and application of these techniques to stem cell research.
authors.affiliation: Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
authors.forename: Philipp S
authors.initials: PS
authors.lastname: Hoppe
authors.affiliation: Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
authors.forename: Daniel L
authors.initials: DL
authors.lastname: Coutu
authors.affiliation: Department of Biosystems Science and Engineering, ETH Zurich, 4058 Basel, Switzerland.
authors.forename: Timm
authors.initials: T
authors.lastname: Schroeder
mesh_terms: D000818:Animals; D002999:Clone Cells / Q000166:cytology / Q000378:metabolism; D005434:Flow Cytometry; D020869:Gene Expression Profiling / Q000379:methods; D006801:Humans; D040901:Proteomics / Q000379:methods; D059010:Single-Cell Analysis / Q000379:methods*; D057905:Stem Cell Research; D013234:Stem Cells / Q000166:cytology* / Q000378:metabolism; D059008:Time-Lapse Imaging / Q000379:methods