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Multi-isotope imaging mass spectrometry quantifies stem cell division and metabolism
Matthew L Steinhauser1, Andrew P Bailey, Samuel E Senyo
1Department of Medicine, Division of Cardiovascular Medicine, Brigham and Women's Hospital, Boston, Massachusetts 02115, USA.
Nature
|January 17, 2012
Summary
Multi-isotope imaging mass spectrometry (MIMS) offers submicrometre resolution for tracking stable isotopes in cells and tissues. This new technique disproves the immortal strand hypothesis, showing random DNA segregation during stem cell division.
Area of Science:
- Cell Biology
- Biophysics
- Biochemistry
Background:
- Stable isotope labeling in mass spectrometry is crucial for studying biological dynamics.
- Current methods are limited to bulk tissues or cells, lacking spatial resolution.
- The immortal strand hypothesis proposes asymmetric DNA segregation in stem cells for genetic stability.
Purpose of the Study:
- To develop and apply multi-isotope imaging mass spectrometry (MIMS) for high-resolution stable isotope analysis.
- To investigate the 'immortal strand hypothesis' using MIMS in vivo.
- To demonstrate the broad applicability of MIMS in diverse biological systems.
Main Methods:
- Development of multi-isotope imaging mass spectrometry (MIMS) with submicrometre resolution.
- Stable isotope labeling (e.g., (15)N-thymidine) in mice, Drosophila, and human hematopoietic cells.
- Application of pulse-chase experiments to track label dynamics in proliferating cells.
Main Results:
- MIMS enabled visualization and quantification of stable isotope incorporation at the submicrometre level.
- No evidence for the immortal strand hypothesis was found in mouse intestinal crypt cells; random strand segregation was observed.
- MIMS demonstrated utility in analyzing lipid turnover in Drosophila and human hematopoiesis.
Conclusions:
- MIMS is a powerful, broadly applicable technique for high-resolution biological research.
- The immortal strand hypothesis is not supported by evidence from this study.
- MIMS provides novel insights into cellular dynamics and genetic stability.

