| Literature DB >> 32019176 |
Covadonga Lucas-Torres1, Thierry Bernard1, Gaspard Huber1, Patrick Berthault1, Yusuke Nishiyama2,3, Pancham S Kandiyal4, Bénédicte Elena-Herrmann4, Laurent Molin5, Florence Solari5, Anne-Karine Bouzier-Sore6, Alan Wong1.
Abstract
The study of the metabolome within tissues, organisms, cells or biofluids can be carried out by several bioanalytical techniques. Among them, nuclear magnetic resonance (NMR) is one of the principal spectroscopic methods. This is due to a sample rotation technique, high-resolution magic angle spinning (HR-MAS), which targets the analysis of heterogeneous specimens with a bulk sample mass from 5 to 10 mg. Recently, a new approach, high-resolution micro-magic angle spinning (HR-μMAS), has been introduced. It opens, for the first time, the possibility of investigating microscopic specimens (<500 μg) with NMR spectroscopy, strengthening the concept of homogeneous sampling in a heterogeneous specimen. As in all bioanalytical approaches, a clean and reliable sample preparation strategy is a significant component in designing metabolomics (or -omics, in general) studies. The sample preparation for HR-μMAS is consequentially complicated by the μg-scale specimen and has yet to be addressed. This report details the strategies for three specimen types: biofluids, fluid matrices and tissues. It also provides the basis for designing future μMAS NMR studies of microscopic specimens.Entities:
Keywords: NMR; high-resolution magic angle spinning; metabolomics; microscopic samples; sample preparation
Year: 2020 PMID: 32019176 PMCID: PMC7073555 DOI: 10.3390/metabo10020054
Source DB: PubMed Journal: Metabolites ISSN: 2218-1989
Figure 1(a) Toolsets for (left) high-resolution magic angle spinning (HR-MAS) sample preparation compared to (right) high-resolution micro-magic angle spinning (HR-µMAS) with details of ZrO2 rotor of different sizes and packing tools. (i) Clamp tool for opening the rotor cap, (ii) screw drivers for handling Kel-F insert, (iii) µ-rotor holder, (iv) and (v) toolset for closing the µ-rotor caps, (vi) and (vii) toolset for opening the µ-rotor caps. (b) Cold workstation and stereomicroscope. A dry ice bucket is placed under a metallic platform, which will be consequently cooled down for allocating the sample manipulations with the µ-rotor under the stereomicroscope.
Figure 2(a) (i) 3D-printed funnel. It consists of a bulk polymeric funnel, which leaves a space for the µ-rotor, and a µ-channel connecting the rotor volume with the sample reservoir. After printing, the funnel should be submitted to a coating process with deposited poly(p-xylylene) (i.e., parylene), which adds a layer of 0.5 µm and generates a biocompatible and smoother surface. (ii) Custom-made glass funnel. It connects the funnel reservoir with the µ-rotor through a short channel. Suggested convenient dimensions are shown in the picture for both types of funnel. (b) Different biopsy punch models. (i) 2 mm biopsy punch used for sample collection and filling process inside the standard HR-MAS Kel-F insert. (ii) Disposable and (iii) reusable 0.5 mm biopsy punch fitting the inner diameter of the µ-rotor for HR-µMAS to facilitate the filling process.
Figure 31H HR-µMAS nuclear magnetic resonance (NMR) spectra spinning at 4 kHz from (a) rat urine in PBS/D2O prepared with automatic pipette, (b) 400 nL K562 cell suspension in PBS/D2O buffer (pH = 7.4) prepared with a 3D-printed funnel, (c) 400 nL of C. elegans (n = 30) suspension in D2O prepared with a custom-made glass funnel and (d) 500 µg brain tissue prepared with a disposable 0.5 mm biopsy punch. Total acquisition times are indicated for each spectrum. Spectra (b) and (d) were acquired using the Carr-Purcell-Meiboom-Gill (CPMG) pulse sequence (d20 = 0.2 ms, loop = 200), and spectra (a) and (c) were acquired using the NOESY pulse sequence (mixing time 0.1 s). The main metabolic signatures are identified on the spectra. The preparation for each specimen is detailed in the Supplementary Protocol S1.
Figure 4(a) PCA scores plot obtained from a model study containing 102 data on brain tissue (control and disease) from an initial 112 samples, where 10 (9%) were discarded due to either extra peaks from contamination or poor spectral quality from air pockets or dryness. Quality parameters: 14 components, R2X = 0.85, Q2 = 0.63. (b) Overlaid 1H-HR-μMAS NMR spectra of (blue) 62 control and (red) 40 diseased tissue samples. (c) Boxplots of the relative standard deviation (%RSD) values calculated from the individual bucket intensity (Δ = 0.04 ppm) of both groups across the spectral region (0.76–5.28 ppm). It summarizes the lower, median and upper quartiles, with the black whiskers displaying the range of data, and the red cross indicating the outlier data points.