Connecting μ-fluidics to electron microscopy
Introduction
Systems biology aims to quantify the molecular elements of a biological system, to determine their interactions and to integrate this information into network models (Aderem, 2005). The development of comprehensive models requires experimental information about the spatial and temporal arrangements of the network components as well as their structure, a challenge that required a multi-resolution approach and the combination of different techniques (Aloy and Russell, 2006, Kherlopian et al., 2008). Cryo-electron tomography (cryo-ET) is the ultimate technique to reveal the spatial organisation of protein structures and macromolecular complexes in single cells (Ben-Harush et al., 2010, Lučić et al., 2005). Currently cryo-ET is restrained by several limitations, such as the size of the cell that can be analysed (maximum diameter of ∼2 μm) (Leis et al., 2009), and by problems in data segmentation and in the template matching required for protein recognition (restricted to relatively large protein complexes) (Bohm et al., 2000). Indeed, many target structures can only be recognised if labelled with electron-dense markers (e.g., gold labels) (Nickell et al., 2006), which, despite recent progress (Kireev et al., 2008), often involves harsh preparative treatment of the cells. Furthermore, while ET delivers structural and spatial information, correlation of these with other methods such as mass spectroscopy (MS) (Aebersold and Mann, 2003) is difficult. A complementary approach is to physically lyse the cells and to subsequently write the entire sample onto electron microscopy (EM) grids for structure analysis by transmission EM (TEM), or mass analysis by scanning TEM (STEM). Ultimately, the use of microfluidic techniques offers the potential to analyse a single cell by making it possible to investigate protein ultrastructures and membrane fragments in lysates (Engel, 2010).
Here we present a lossless sample deposition method for EM (Fig. 1), which allows the handling of minute sample volumes and immobilisation of the total sample content on EM grids to obtain, for example, the full cell inventory. This methodology is combined with a microfluidic sample-conditioning module. The constellation provides a new staining technique for heavy metal salts (negative stain) for TEM as well as specific desalting for mass measurements by STEM.
Section snippets
Stain preparation
The reservoir of the sample-conditioning module (Fig. 2a) was filled with various commonly used negative stains prepared in the following way: phosphotungstic acid (PTA7.0): sodium-phosphotungstate tribasic hydrate (Riedel-de Haen, Switzerland) was dissolved in double-distilled water (ddH2O) to give a 1% or 2% (w/v) final concentration. The pH of the aqueous solution was adjusted to 7.0 using 1 M potassium hydroxide; ammonium molybdate (AM6.5): ammonium molybdate (Aldrich, Switzerland) was
Results
The apparatus enables micro-patterning of EM grids with stained or desalted samples. It consists of two main units, (a) a sample-conditioning module for staining or desalting (or an inline combination of both), and (b) a hand-over module for micro-patterning the sample onto the grids (Fig. 2a). The instrument is designed for a prospective degree of automation and controlled by custom-written software (Supplementary Fig. 1). In the first step the sample is conditioned using the micro-dialysis
Discussion
Negative stain TEM is a standard method used in most electron microscopy laboratories involved in biology or biomedicine. In classical negative staining techniques for EM, a drop of sample (3–7 μl) is applied to the EM grid, which is then washed and stained. Each step is followed by a blotting procedure to remove excess liquid (Fig. 1a). Consequently, only a fraction of the sample and the stain remains on the grid. The amount of sample remaining depends on the adsorption, washing and blotting
Acknowledgments
We thank Mohamed Chami, Christopher Bleck (C-CINA), and the mechanical work-shop of the Biozentrum of the University Basel for their discussions and aid. The project is supported by the SystemsX.ch initiative (CINA, granted to A.E. and H.S.); the STEM microscopy by the Swiss National Science Foundation (Grant 3100A0-108299 to A.E. and the NCCR Nanoscience).
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