同步辐射-深紫外荧光成像揭示牛肌纤维的优先代谢途径

Q3 Chemistry
T. Astruc, O. Loison, F. Jamme, M. Réfrégiers, A. Vénien
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引用次数: 1

摘要

不同的牛肌纤维类型I, IIA和IIX的特征在于它们偏好的代谢途径,要么是氧化(I, IIA),要么是糖酵解(IIX),以及它们的收缩速度,要么是慢收缩(I),要么是快收缩(IIA, IIX)。这些生理特异性与细胞内成分及其荧光光谱特征的变化有关。我们假设这些自身荧光反应的细微差异可以通过荧光成像来区分肌肉纤维类型。对牛肉背最长肌进行连续组织学横切面切片:起始组用于通过免疫组织酶学和免疫组织荧光鉴定肌纤维的代谢和收缩类型,下一组用于在紫外线范围(275 nm和315 nm)激发后获得同步深紫外(UV)自身荧光图像。这种策略使得探索以前通过组织化学分型的肌肉细胞的无标记自身荧光成为可能。糖酵解细胞(IIX)比氧化细胞(I和IIA)显示出更强的荧光,准确度接近90%。这种区别更具体地分配给烟酰胺腺嘌呤二核苷酸的荧光。紫外自身荧光不能区分收缩型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Preferred metabolic pathway of bovine muscle fibre revealed by synchrotron–deep ultraviolet fluorescence imaging
The different bovine muscle fibre types I, IIA and IIX are characterised by their preferred metabolic pathway, either oxidative (I, IIA) or glycolytic (IIX), and their contraction speed, either slow-twitch (I) or fast-twitch (IIA, IIX). These physiological specificities are associated with variations in intracellular composition and their fluorescence spectra signatures. We hypothesised that these slight differences in autofluorescence responses could be used to discriminate the muscle fibre types by fluorescence imaging. Serial histological cross-sections of beef longissimus dorsi were performed: the start set was used to identify the metabolic and contractile type of muscle fibres by both immunohistoenzymology and immunohistofluorescence, and the following set was used to acquire synchrotron–deep ultraviolet (UV) autofluorescence images after excitation in the UV range (275 nm and 315 nm). This strategy made it possible to explore the label-free autofluorescence of muscle cells previously subtyped by histochemistry. Glycolytic cells (IIX) showed more intense fluorescence than oxidative cells (I and IIA) with near-90 % accuracy. This discrimination is more specifically assigned to the fluorescence of nicotinamide adenine dinucleotide. UV autofluorescence was unable to discriminate contractile type.
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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