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High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo

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 i...

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Autores principales: Koechlein, Claire S., Harris, Jeffrey R., Lee, Timothy K., Weeks, Joi, Fox, Raymond G., Zimdahl, Bryan, Ito, Takahiro, Blevins, Allen, Jung, Seung-Hye, Chute, John P., Chourasia, Amit, Covert, Markus W., Reya, Tannishtha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960315/
https://www.ncbi.nlm.nih.gov/pubmed/27425143
http://dx.doi.org/10.1038/ncomms12169
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author Koechlein, Claire S.
Harris, Jeffrey R.
Lee, Timothy K.
Weeks, Joi
Fox, Raymond G.
Zimdahl, Bryan
Ito, Takahiro
Blevins, Allen
Jung, Seung-Hye
Chute, John P.
Chourasia, Amit
Covert, Markus W.
Reya, Tannishtha
author_facet Koechlein, Claire S.
Harris, Jeffrey R.
Lee, Timothy K.
Weeks, Joi
Fox, Raymond G.
Zimdahl, Bryan
Ito, Takahiro
Blevins, Allen
Jung, Seung-Hye
Chute, John P.
Chourasia, Amit
Covert, Markus W.
Reya, Tannishtha
author_sort Koechlein, Claire S.
collection PubMed
description 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.
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spelling pubmed-49603152016-09-06 High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo Koechlein, Claire S. Harris, Jeffrey R. Lee, Timothy K. Weeks, Joi Fox, Raymond G. Zimdahl, Bryan Ito, Takahiro Blevins, Allen Jung, Seung-Hye Chute, John P. Chourasia, Amit Covert, Markus W. Reya, Tannishtha Nat Commun Article 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. Nature Publishing Group 2016-07-18 /pmc/articles/PMC4960315/ /pubmed/27425143 http://dx.doi.org/10.1038/ncomms12169 Text en Copyright © 2016, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved. http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Koechlein, Claire S.
Harris, Jeffrey R.
Lee, Timothy K.
Weeks, Joi
Fox, Raymond G.
Zimdahl, Bryan
Ito, Takahiro
Blevins, Allen
Jung, Seung-Hye
Chute, John P.
Chourasia, Amit
Covert, Markus W.
Reya, Tannishtha
High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title_full High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title_fullStr High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title_full_unstemmed High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title_short High-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
title_sort high-resolution imaging and computational analysis of haematopoietic cell dynamics in vivo
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4960315/
https://www.ncbi.nlm.nih.gov/pubmed/27425143
http://dx.doi.org/10.1038/ncomms12169
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