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Phenotypic Analysis and Isolation of Murine Hematopoietic Stem Cells and Lineage-committed Progenitors
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Index sorting resolves heterogeneous murine hematopoietic stem cell populations.

Reiner Schulte1, Nicola K Wilson2, Janine C M Prick3

  • 1Cambridge Institute for Medical Research, University of Cambridge, Cambridge, United Kingdom.

Experimental Hematology
|June 9, 2015
PubMed
Summary

Index sorting refines single-cell isolation by linking functional outcomes to cell surface marker intensity. This method enhances the study of rare stem cell populations, like hematopoietic stem cells (HSCs), revealing functional differences.

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Area of Science:

  • Cellular and Molecular Biology
  • Stem Cell Biology
  • Immunology

Background:

  • Stem cell populations exhibit significant functional heterogeneity.
  • Studying rare stem cells requires advanced isolation techniques like multiparameter flow cytometry.
  • Limited knowledge exists on functional differences related to varying cell surface marker intensities.

Purpose of the Study:

  • To employ index sorting for high-resolution isolation of single murine hematopoietic stem cells (HSCs).
  • To correlate single-cell functional assay results with specific cell surface marker expression levels.
  • To refine cell isolation strategies for rare cell populations.

Main Methods:

  • Utilized index sorting coupled with multiparameter flow cytometry.
  • Isolated single murine hematopoietic stem cells (HSCs).
  • Performed single-cell functional assays and analyzed cell surface marker expression intensities.

Main Results:

  • High CD150 and EPCR expression correlated with delayed cell division and reduced differentiation.
  • The 7AAD(dim) fraction contained cells that failed to form single HSC-derived clones, indicating poor cell health.
  • Index sorting successfully associated functional outcomes with marker expression intensities.

Conclusions:

  • Index sorting is a powerful tool for refining single-cell isolation strategies when combined with functional assays.
  • This approach can be broadly applied to other single-cell systems for improved isolation and marker information.
  • Understanding marker intensity variations is crucial for characterizing stem cell heterogeneity.