Abstract
Electron paramagnetic resonance (EPR) oximetry is being widely used to measure the oxygen consumption of cells, mitochondria, and submitochondrial particles. However, further improvement of this technique, in terms of data analysis, is required to use it as a quantitative tool. Here, we present a new approach for quantitative analysis of cellular respiration using EPR oximetry. The course of oxygen consumption by cells in suspension has been observed to have three distinct zones: pO2-independent respiration at higher pO2 ranges, pO2-dependent respiration at low pO 2 ranges, and a static equilibrium with no change in pO2 at very low pO2 values. The approach here enables one to comprehensively analyze all of the three zones together - where the progression of O2 diffusion zones around each cell, their overlap within time, and their potential impact on the measured pO2 data are considered. The obtained results agree with previously established methods such as highresolution respirometry measurements. Additionally, it is also demonstrated how the diffusion limitations can depend on cell density and consumption rate. In conclusion, the new approach establishes a more accurate and meaningful model to evaluate the EPR oximetry data on cellular respiration to quantify related parameters using EPR oximetry.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 4623-4631 |
| Number of pages | 9 |
| Journal | Biophysical Journal |
| Volume | 91 |
| Issue number | 12 |
| DOIs | |
| State | Published - Dec 2006 |
| Externally published | Yes |
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ASJC Scopus subject areas
- Biophysics
Cite this
Electron paramagnetic resonance oximetry as a quantitative method to measure cellular respiration : A consideration of oxygen diffusion interference. / Presley, Tennille; Kuppusamy, Periannan; Zweier, Jay L.; Ilangovan, Govindasamy.
In: Biophysical Journal, Vol. 91, No. 12, 12.2006, p. 4623-4631.Research output: Contribution to journal › Article
}
TY - JOUR
T1 - Electron paramagnetic resonance oximetry as a quantitative method to measure cellular respiration
T2 - A consideration of oxygen diffusion interference
AU - Presley, Tennille
AU - Kuppusamy, Periannan
AU - Zweier, Jay L.
AU - Ilangovan, Govindasamy
PY - 2006/12
Y1 - 2006/12
N2 - Electron paramagnetic resonance (EPR) oximetry is being widely used to measure the oxygen consumption of cells, mitochondria, and submitochondrial particles. However, further improvement of this technique, in terms of data analysis, is required to use it as a quantitative tool. Here, we present a new approach for quantitative analysis of cellular respiration using EPR oximetry. The course of oxygen consumption by cells in suspension has been observed to have three distinct zones: pO2-independent respiration at higher pO2 ranges, pO2-dependent respiration at low pO 2 ranges, and a static equilibrium with no change in pO2 at very low pO2 values. The approach here enables one to comprehensively analyze all of the three zones together - where the progression of O2 diffusion zones around each cell, their overlap within time, and their potential impact on the measured pO2 data are considered. The obtained results agree with previously established methods such as highresolution respirometry measurements. Additionally, it is also demonstrated how the diffusion limitations can depend on cell density and consumption rate. In conclusion, the new approach establishes a more accurate and meaningful model to evaluate the EPR oximetry data on cellular respiration to quantify related parameters using EPR oximetry.
AB - Electron paramagnetic resonance (EPR) oximetry is being widely used to measure the oxygen consumption of cells, mitochondria, and submitochondrial particles. However, further improvement of this technique, in terms of data analysis, is required to use it as a quantitative tool. Here, we present a new approach for quantitative analysis of cellular respiration using EPR oximetry. The course of oxygen consumption by cells in suspension has been observed to have three distinct zones: pO2-independent respiration at higher pO2 ranges, pO2-dependent respiration at low pO 2 ranges, and a static equilibrium with no change in pO2 at very low pO2 values. The approach here enables one to comprehensively analyze all of the three zones together - where the progression of O2 diffusion zones around each cell, their overlap within time, and their potential impact on the measured pO2 data are considered. The obtained results agree with previously established methods such as highresolution respirometry measurements. Additionally, it is also demonstrated how the diffusion limitations can depend on cell density and consumption rate. In conclusion, the new approach establishes a more accurate and meaningful model to evaluate the EPR oximetry data on cellular respiration to quantify related parameters using EPR oximetry.
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UR - http://www.scopus.com/inward/citedby.url?scp=33845469024&partnerID=8YFLogxK
U2 - 10.1529/biophysj.106.090175
DO - 10.1529/biophysj.106.090175
M3 - Article
C2 - 17012319
AN - SCOPUS:33845469024
VL - 91
SP - 4623
EP - 4631
JO - Biophysical Journal
JF - Biophysical Journal
SN - 0006-3495
IS - 12
ER -