
pmid: 21252944
pmc: PMC3049439
The maintenance of stem‐cell‐driven tissue homeostasis requires a balance between the generation and loss of cell mass. Adult stem cells have a close relationship with the surrounding tissue—known as their niche—and thus, stem‐cell studies should preferably be performed in a physiological context, rather than outside their natural environment. The mouse is an attractive model in which to study adult mammalian stem cells, as numerous experimental systems and genetic tools are available. In this review, we describe strategies commonly used to identify and functionally characterize adult stem cells in mice and discuss their potential, limitations and interpretations, as well as how they have informed our understanding of adult stem‐cell biology. An accurate interpretation of physiologically relevant stem‐cell assays is crucial to identify adult stem cells and elucidate how they self‐renew and give rise to differentiated progeny.
Adult Stem Cells, Staining and Labeling, Cell Culture Techniques, Animals, Humans, Cell Differentiation, Cell Lineage, Stem Cell Niche, Stem Cell Transplantation
Adult Stem Cells, Staining and Labeling, Cell Culture Techniques, Animals, Humans, Cell Differentiation, Cell Lineage, Stem Cell Niche, Stem Cell Transplantation
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 160 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 1% |
