Journal
BRIEFINGS IN FUNCTIONAL GENOMICS
Volume 12, Issue 2, Pages 81-89Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bfgp/elt001
Keywords
single-cell biology; single-cell analysis; RT-qPCR; single-cell transcriptomics; gene expression analysis
Funding
- Assar Gabrielssons Research Foundation
- Johan Jansson Foundation for Cancer Research
- Socialstyrelsen
- Swedish Society for Medical Research
- Swedish Research Council [521-2011-2367]
- EMBO Short Term Fellowship
- ESF Functional Genomics Short Visit Grant
- BioCARE National Strategic Research Program at University of Gothenburg
- Wilhelm and Martina Lundgren Foundation for Scientific Research
- Czech Ministry of Education [ME10052]
- GACR [GACR GA P303/10/1338]
- [AV0Z50520701]
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Cells are the basic unit of life and they have remarkable abilities to respond individually as well as in concert to internal and external stimuli in a specific manner. Studying complex tissues and whole organs requires understanding of cell heterogeneity and responses to stimuli at the single-cell level. In this review, we discuss the potential of single-cell gene expression profiling, focusing on data analysis and biological interpretation. We exemplify several aspects of the added value of single-cell analysis by comparing the same experimental data at both single-cell and cell population level. Data normalization and handling of missing data are two important steps in data analysis that are performed differently at single-cell level compared with cell population level. Furthermore, we discuss how single-cell gene expression data can be viewed and how subpopulations of cells can be identified and characterized.
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