Investigating transcriptional states at single-cell-resolution.
Gene expression analysis at single-cell-resolution is a powerful tool for uncovering individual cell differences within heterogeneous cell populations and complex tissues, which can provide invaluable insights into the extent of gene expression variability. Multi-dimensional information of gene expression at the level of the individual cell can help to identify distinct and rare molecular cell 'states' within populations and aid in unravelling genetic regulatory circuits. Gene expression analysis at the single-cell-level will also enhance our understanding of the molecular basis of aberrant cell states and disease development and holds great promise for the advancement of personalized medicine. We present approaches that provide large-scale views of gene expression at the level of the individual cell.
The Wellcome Trust/Cancer Research UK Gurdon Institute, The Henry Wellcome Building of Cancer and Developmental Biology, University of Cambridge, Cambridge CB2 1QN, United Kingdom.
Julia
J
Tischler
M Azim
MA
Surani
D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D017404:In Situ Hybridization, Fluorescence; D044085:Microfluidics; D060888:Real-Time Polymerase Chain Reaction; D017423:Sequence Analysis, RNA; D059010:Single-Cell Analysis / Q000379:methods*; D014158:Transcription, Genetic