Author
Listed:
- Claire S. Koechlein
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine)
- Jeffrey R. Harris
(Duke University Medical Center)
- Timothy K. Lee
(Stanford University)
- Joi Weeks
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine)
- Raymond G. Fox
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine)
- Bryan Zimdahl
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine
Duke University Medical Center)
- Takahiro Ito
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine
Duke University Medical Center)
- Allen Blevins
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine)
- Seung-Hye Jung
(Duke University Medical Center)
- John P. Chute
(Duke University Medical Center
University of California, Los Angeles)
- Amit Chourasia
(San Diego Supercomputer Center, University of California, San Diego)
- Markus W. Covert
(Stanford University)
- Tannishtha Reya
(School of Medicine, University of California, San Diego
Sanford Consortium for Regenerative Medicine
Duke University Medical Center)
Abstract
Although we know a great deal about the phenotype and function of haematopoietic stem/progenitor cells, a major challenge has been mapping their dynamic behaviour within living systems. Here we describe a strategy to image cells in vivo with high spatial and temporal resolution, and quantify their interactions using a high-throughput computational approach. Using these tools, and a new Msi2 reporter model, we show that haematopoietic stem/progenitor cells display preferential spatial affinity for contacting the vascular niche, and a temporal affinity for making stable associations with these cells. These preferences are markedly diminished as cells mature, suggesting that programs that control differentiation state are key determinants of spatiotemporal behaviour, and thus dictate the signals a cell receives from specific microenvironmental domains. These collectively demonstrate that high-resolution imaging coupled with computational analysis can provide new biological insight, and may in the long term enable creation of a dynamic atlas of cells within their native microenvironment.
Suggested Citation
Claire S. Koechlein & Jeffrey R. Harris & Timothy K. Lee & Joi Weeks & Raymond G. Fox & Bryan Zimdahl & Takahiro Ito & Allen Blevins & Seung-Hye Jung & John P. Chute & Amit Chourasia & Markus W. Cover, 2016.
"High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo,"
Nature Communications, Nature, vol. 7(1), pages 1-14, November.
Handle:
RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12169
DOI: 10.1038/ncomms12169
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