title: The workflow of single-cell expression profiling using quantitative real-time PCR.
abstract: Biological material is heterogeneous and when exposed to stimuli the various cells present respond differently. Much of the complexity can be eliminated by disintegrating the sample, studying the cells one by one. Single-cell profiling reveals responses that go unnoticed when classical samples are studied. New cell types and cell subtypes may be found and relevant pathways and expression networks can be identified. The most powerful technique for single-cell expression profiling is currently quantitative reverse transcription real-time PCR (RT-qPCR). A robust RT-qPCR workflow for highly sensitive and specific measurements in high-throughput and a reasonable degree of multiplexing has been developed for targeting mRNAs, but also microRNAs, non-coding RNAs and most recently also proteins. We review the current state of the art of single-cell expression profiling and present also the improvements and developments expected in the next 5 years.
authors.affiliation: 1Department of Pathology, Sahlgrenska Cancer Center, University of Gothenburg, Box 425, 40530 Gothenburg, Sweden.
authors.forename: Anders
authors.initials: A
authors.lastname: Ståhlberg
authors.forename: Mikael
authors.initials: M
authors.lastname: Kubista
mesh_terms: D020869:Gene Expression Profiling / Q000379:methods*; D025202:Molecular Diagnostic Techniques / Q000379:methods*; D060888:Real-Time Polymerase Chain Reaction / Q000379:methods*; D059010:Single-Cell Analysis / Q000379:methods*; D057188:Workflow