This work describes a simple way to identify fiber types in living muscles by fluorescence lifetime imaging microscopy (FLIM). We quantified the mean values of lifetimes τ1 and τ2 derived from a two-exponential fit in freshly dissected mouse flexor digitorum brevis (FDB) and soleus muscles. While τ1 values changed following a bimodal behavior between muscles, the distribution of τ2 is shifted to higher values in FDB. To understand the origin of this difference, we obtained maps of autofluorescence lifetimes of flavin mononucleotide and dinucleotide (FMN/FAD) in cryosections, where excitation was set at 440 nm and emission at a bandwidth of between 500 and 570 nm, and paired them with immunofluorescence images of myosin heavy chain isoforms, which allowed identification of fiber types. In soleus, τ2 was 3.16 ns for type I (SD 0.11, 97 fibers), 3.45 ns for IIA (0.10, 69), and 3.46 ns for IIX (0.12, 65). In FDB muscle, τ2 was 3.17 ns for type I (0.08, 22), 3.46 ns for IIA (0.16, 48), and 3.66 ns for IIX (0.15, 43). From τ2 distributions, it follows that an FDB fiber with τ2 > 3.3 ns is expected to be of type II, and of type I otherwise. This simple classification method has first and second kind errors estimated at 0.02 and 0.10, which can be lowered by reducing the threshold for identification of type I and increasing it for type II. Lifetime maps of autofluorescence, therefore, constitute a tool to identify fiber types that, for being practical, fast, and noninvasive, can be applied in living tissue without compromising other experimental interventions.
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Methods and Approaches|
Excitation–Contraction Coupling|
July 07 2022
A novel method for determining murine skeletal muscle fiber type using autofluorescence lifetimes
Carlo Manno
,
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
Correspondence to Carlo Manno: carlos_manno@rush.edu
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Eshwar Tammineni
,
Eshwar Tammineni
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
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Lourdes Figueroa
,
Lourdes Figueroa
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
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Yuriana Oropeza-Almazán
,
Yuriana Oropeza-Almazán
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
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Eduardo Rios
Eduardo Rios
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
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Eshwar Tammineni
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
Lourdes Figueroa
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
Yuriana Oropeza-Almazán
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
Eduardo Rios
1
Department of Physiology and Biophysics, Rush University, Chicago, IL
Correspondence to Carlo Manno: carlos_manno@rush.edu
This work is part of a special issue on excitation–contraction coupling.
Received:
March 01 2022
Accepted:
June 13 2022
Online Issn: 1540-7748
Print Issn: 0022-1295
Funding
Funder(s):
National Institute of Arthritis and Musculoskeletal and Skin Diseases
Funder(s):
National Institutes of Health
- Award Id(s): AR072602,AR068312
© 2022 Manno et al.
2022
This article is distributed under the terms of an Attribution–Noncommercial–Share Alike–No Mirror Sites license for the first six months after the publication date (see http://www.rupress.org/terms/). After six months it is available under a Creative Commons License (Attribution–Noncommercial–Share Alike 4.0 International license, as described at https://creativecommons.org/licenses/by-nc-sa/4.0/).
J Gen Physiol (2022) 154 (9): e202213143.
Article history
Received:
March 01 2022
Accepted:
June 13 2022
Citation
Carlo Manno, Eshwar Tammineni, Lourdes Figueroa, Yuriana Oropeza-Almazán, Eduardo Rios; A novel method for determining murine skeletal muscle fiber type using autofluorescence lifetimes. J Gen Physiol 5 September 2022; 154 (9): e202213143. doi: https://doi.org/10.1085/jgp.202213143
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