Single Cell Analysis Reveals Heterogeneity in Stem Cells
Author Information
Author(s): Glotzbach Jason P., Januszyk Michael, Vial Ivan N., Wong Victor W., Gelbard Alexander, Kalisky Tomer, Thangarajah Hariharan, Longaker Michael T., Quake Stephen R., Chu Gilbert, Gurtner Geoffrey C.
Primary Institution: Stanford University School of Medicine
Hypothesis
How do mammalian cellular systems overcome intrinsic noisiness of gene expression to produce variations in function?
Conclusion
The study demonstrates that multiple subpopulations exist within a putatively homogeneous stem cell population, defined by nonrandom transcriptional patterns.
Supporting Evidence
- The study analyzed gene expression in 300 individual cells from a purified murine hematopoietic stem cell population.
- It identified nine genes with significantly different expression patterns between two HSC populations.
- The findings suggest that LT-HSCs exist in distinct subpopulations rather than as one homogeneous population.
Takeaway
Scientists found that even similar-looking stem cells can behave very differently because they have different patterns of gene activity.
Methodology
The study used microfluidic-based single cell analysis and information theory to characterize transcriptional programs across hundreds of individual cells.
Limitations
The study's findings need to be confirmed with empirical testing of the functional differences displayed by the identified HSC subpopulations.
Participant Demographics
11-week-old male C57BL/6 mice were used for the study.
Statistical Information
P-Value
p<0.01
Statistical Significance
p<0.01
Digital Object Identifier (DOI)
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