**Author details**

*Mass Spectrometry in Life Sciences and Clinical Laboratory*

tent stem cells and progenitors long-term cultures.

The authors declare no conflict of interest.

MUNI/A/1382/2019). All rights reserved.

ABC ammonium bicarbonate ANN artificial neural network

dpc days post conception DHB 2,5-dihydroxybenzoic acid ESI electrospray ionization ELEPs early lung progenitors ECM extracellular matrix

CHCA α-cyano-4-hydroxycinnamic acid

hESCs human embryonic stem cells

hiPSCs human induced pluripotent stem cells

cultures are summarized in **Table 2**.

**6. Conclusions**

**Acknowledgements**

reading of the manuscript.

**Conflict of interest**

**List of abbreviations**

**Funding**

Cell MALDI TOF MS was able to distinguish individual immature stages from hESCs and from ELEPs, as well as from lung cancer cell line (**Figure 4**).

In summary, Intact Cell MALDI TOF MS coupled with advanced statistics provides an efficient tool for revealing aberrant cells in culture or following differentiation trajectories of pluripotent stem cells and progenitors. The advantages and limits of Intact Cell MALDI TOF MS in quality control of clinical grade stem cell

Intact Cell MALDI TOF MS reliably discriminates functionally different, but otherwise identical types or subtypes of stem cells of common genetic origin. Moreover, it reveals aberrant or differentiating clones of clinically relevant stem cells or committed tissue progenitors. Coupling the outputs of Intact Cell MALDI TOF MS with sophisticated statistics, such as cluster analysis or machine learning, may provide a feasible and easy-to-use routine tool for quality control of pluripo-

LM is Brno PhD Talent Scholarship holder, funded by the Brno City Municipality, and junior researcher supported by Faculty of Medicine, Masaryk University (ROZV/28/LF/2020) and by Masaryk Memorial Cancer Institute

This work was supported by Ministry of Health of the Czech Republic (grant no. NV18-08-00299) and by Masaryk University (MUNI/A/1421/2019,

(00209805). Dr. Anna Mac Gillavry Danylevska, Ph. D. is acknowledged for critical

**132**

Petr Vaňhara1,2\*, Lukáš Moráň1,3, Lukáš Pečinka2,4, Volodymyr Porokh1 , Tiziana Pivetta5 , Sebastiano Masuri<sup>5</sup> , Eladia Maria Peña-Méndez6 , José Elías Conde González6 , Aleš Hampl1,2 and Josef Havel2,4

1 Department of Histology and Embryology, Faculty of Medicine, Masaryk University, Brno, Czech Republic

2 International Clinical Research Center, St. Anne's University Hospital, Brno, Czech Republic

3 Research Centre for Applied Molecular Oncology (RECAMO), Masaryk Memorial Cancer Institute, Brno, Czech Republic

4 Department of Chemistry, Faculty of Science, Masaryk University, Brno, Czech Republic

5 Department of Chemical and Geological Sciences, University of Cagliari, Monserrato, CA, Italy

6 Department of Analytical Chemistry, Nutrition and Food Science, Faculty of Chemistry, University of La Laguna, Tenerife, Spain

\*Address all correspondence to: pvanhara@med.muni.cz

© 2020 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
