TY - JOUR
T1 - Visualizing Intrapopulation Hematopoietic Cell Heterogeneity with Self-Organizing Maps of SIMS Data
AU - Mirshafiee, Vahid
AU - Harley, Brendan A.C.
AU - Kraft, Mary L.
N1 - Funding Information:
This work was supported by the National Institute of Biomedical Imaging and Bioengineering under Award Number R21 EB018481. The authors acknowledge additional funding provided by the Dept. of Chemical and Biomolecular Engineering at the University of Illinois.
Funding Information:
This work was supported by the National Institute of Biomedical Imaging and Bioengineering under Award Number R21 EB018481. The authors acknowledge additional funding provided by the Dept. of Chemical and Biomolecular Engineering at the University of Illinois
Publisher Copyright:
© 2018, Mary Ann Liebert, Inc.
PY - 2018/6
Y1 - 2018/6
N2 - Characterization of the heterogeneity within stem cell populations, which affects their differentiation potential, is necessary for the design of artificial cultures for stem cell expansion. In this study, we assessed whether self-organizing maps (SOMs) of single-cell time-of-flight secondary ion mass spectrometry (TOF-SIMS) data provide insight into the spectral, and thus the related functional heterogeneity between and within three hematopoietic cell populations. SOMs were created of TOF-SIMS data from individual hematopoietic stem and progenitor cells (HSPCs), lineage-committed common lymphoid progenitors (CLPs), and fully differentiated B cells that had been isolated from murine bone marrow via conventional flow cytometry. The positions of these cells on the SOMs and the spectral variation between adjacent map units, shown on the corresponding unified distance matrix (U-matrix), indicated the CLPs exhibited the highest intrapopulation spectral variation, regardless of the age of the donor mice. SOMs of HSPCs, CLPs, and B cells isolated from young and old mice using the same surface antigen profiles revealed the HSPCs exhibited the most age-related spectral variation, whereas B cells exhibited the least. These results demonstrate that SOMs of single-cell spectra enable characterizing the heterogeneity between and within cell populations that lie along distinct differentiation pathways.
AB - Characterization of the heterogeneity within stem cell populations, which affects their differentiation potential, is necessary for the design of artificial cultures for stem cell expansion. In this study, we assessed whether self-organizing maps (SOMs) of single-cell time-of-flight secondary ion mass spectrometry (TOF-SIMS) data provide insight into the spectral, and thus the related functional heterogeneity between and within three hematopoietic cell populations. SOMs were created of TOF-SIMS data from individual hematopoietic stem and progenitor cells (HSPCs), lineage-committed common lymphoid progenitors (CLPs), and fully differentiated B cells that had been isolated from murine bone marrow via conventional flow cytometry. The positions of these cells on the SOMs and the spectral variation between adjacent map units, shown on the corresponding unified distance matrix (U-matrix), indicated the CLPs exhibited the highest intrapopulation spectral variation, regardless of the age of the donor mice. SOMs of HSPCs, CLPs, and B cells isolated from young and old mice using the same surface antigen profiles revealed the HSPCs exhibited the most age-related spectral variation, whereas B cells exhibited the least. These results demonstrate that SOMs of single-cell spectra enable characterizing the heterogeneity between and within cell populations that lie along distinct differentiation pathways.
KW - differentiation
KW - imaging mass spectrometry
KW - intrapopulation heterogeneity
KW - screening platforms
KW - self-organizing maps
KW - single-cell analysis
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U2 - 10.1089/ten.tec.2017.0382
DO - 10.1089/ten.tec.2017.0382
M3 - Article
C2 - 29652627
AN - SCOPUS:85048623420
SN - 1937-3384
VL - 24
SP - 322
EP - 330
JO - Tissue Engineering - Part C: Methods
JF - Tissue Engineering - Part C: Methods
IS - 6
ER -