<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">JBM</journal-id><journal-title-group><journal-title>Journal of Biosciences and Medicines</journal-title></journal-title-group><issn pub-type="epub">2327-5081</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/jbm.2020.82005</article-id><article-id pub-id-type="publisher-id">JBM-98165</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Cryo-ET Workflow for Understanding Ion Channels Localization on the Nodes of Ranvier
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Jiaxuan</surname><given-names>Wang</given-names></name><xref ref-type="aff" rid="aff1"><sub>1</sub></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib></contrib-group><aff id="aff1"><label>1</label><addr-line>School of Life Science, Shandong Normal University, Jinan, China</addr-line></aff><pub-date pub-type="epub"><day>17</day><month>01</month><year>2020</year></pub-date><volume>08</volume><issue>02</issue><fpage>55</fpage><lpage>72</lpage><history><date date-type="received"><day>20,</day>	<month>December</month>	<year>2019</year></date><date date-type="rev-recd"><day>4,</day>	<month>February</month>	<year>2020</year>	</date><date date-type="accepted"><day>7,</day>	<month>February</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  The localization of ion channels on myelinated axon is closely related with the saltatory conduction of action potential (AP). Abnormal changes in these channels contribute to multiple mental diseases. The development of cryo-Electron Tomography (cryo-ET) has provided a promising prospect for peering into ion channels in their native environment at high resolution. Previous achievements are reviewed here on cryo-ET. Accordingly, a cryo-ET workflow is designed for understanding ion channels localization in myelinated axon, especially nodes of Ranvier, which are significant for the saltatory conduction involved in the propagation of high-speed AP. The workflow is divided into six parts: the preparation of neural cultures with myelin, antibodies and immunofluorescence staining, frozen-hydrated sample preparation, cryo-ET imaging, cryo-correlative light and electron microscopy (cryo-CLEM) imaging, three-dimensional (3D) reconstruction and refinement. The purpose is to conceive a possible solution for the problems related to ion channel compounds including localization, conformation dynamics, accessory structures of ion channel and transient regulatory factors, and thus provide insights into treating neurological diseases caused by abnormal ion channels activity.
 
</p></abstract><kwd-group><kwd>Cryo-ET</kwd><kwd> Ion Channels Localization</kwd><kwd> The Nodes of Ranvier</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>The normal function of the brain relies on accurate and rapid conduction of electrical signal, which is called action potential (AP). High-speed AP propagation is achieved as the saltatory conduction in myelinated axons with the regularly embedded nonmyelinated constructions, nodes of Ranvier [<xref ref-type="bibr" rid="scirp.98165-ref1">1</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref2">2</xref>]. Various types of sodium channels and potassium channels exist in myelinated axons and cluster in nodes of Ranvier to facilitate impulse conduction by lowering space requirement as compared with the axons without myelin, and some of these channels such as rectifier K<sup>+</sup> channel help to maintain the resting potential and stabilize conduction [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. Reasonably, subtle changes in the dynamics of these channels may give rise to faults in saltatory conduction, thus contribute to multiple psychiatric diseases [<xref ref-type="bibr" rid="scirp.98165-ref4">4</xref>]. To be specific, abnormality in the permeability, expression level or electrical excitability of sodium voltage-gated channels assembled with the first or sixth type of α-subunit, namely Na<sub>v</sub>1.1 or Na<sub>v</sub>1.6 channels, at nodes of Ranvier lead to autism, epilepsy syndromes, fibromyalgia and periodic paralysis [<xref ref-type="bibr" rid="scirp.98165-ref5">5</xref>]; and similarly, the pathogenesis of myokymia and benign familial neonatal convulsions is closely related to mutant potassium voltage-gated channel subfamily Q member 2 (KCNQ2) and member 3 (KCNQ3) channels [<xref ref-type="bibr" rid="scirp.98165-ref6">6</xref>]. Also, blocking juxtaparanodal potassium voltage-gated channel subfamily A (KCNA/K<sub>v</sub>1) channels by auto-antibodies contributes to limbic encephalitis and Morvan’s syndrome [<xref ref-type="bibr" rid="scirp.98165-ref7">7</xref>], and the list can go on. Researches on the synaptic activities or localization and regulation process of ion channels on myelinated axons have provided valuable insights into the mechanism of mental disorders and potential therapeutic targets, especially with recent optimizations of data acquisition and processing in cryo-electron tomography to obtain the three-dimensional information at subnanometer resolution [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref9">9</xref>] from exquisitely preserved frozen-hydrated specimens in a close-to-life state. This paper aims to review antecedent achievements, design a workflow for mapping ion channels at the nodes of Ranvier to resolve the events underlying the saltatory conduction, and determine the still missing parts of ion channel complex as the possible topics of future exploration, for reference in treating neurologic diseases either by means of drugs or neural stem cell transplantation.</p></sec><sec id="s2"><title>2. The Nodes of Ranvier</title><p>The nodes of Ranvier are small about 1 μm long gaps [<xref ref-type="bibr" rid="scirp.98165-ref4">4</xref>] along myelinated axons where there is a break in the myelin sheath and the axon membrane is in contact with the extracellular space [<xref ref-type="bibr" rid="scirp.98165-ref4">4</xref>], which is also called extracellular matrix (ECM) and filled with highly charged material [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>] allowing Na<sup>+</sup> entry through voltage-gated channels [<xref ref-type="bibr" rid="scirp.98165-ref4">4</xref>]. Nodes of Ranvier are bordered by the paranodal axoglial junctions (PNJ), a specialized axon-glial contact formed between the axolemma and the paranodal loops which are formed by myelin lamellae and closely opposed to the axon with a gap of only 2.5 - 3 nm [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. These loops spiral around the axon and form a series of ladder-like junctions with the axon.</p><p>Various types of Na<sup>+</sup> and K<sup>+</sup> channels cluster at nodes of Ranvier [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>] including Nav1.1, Nav1.2, Nav1.6, Nav1.7, Nav1.8, Nav1.9 [<xref ref-type="bibr" rid="scirp.98165-ref10">10</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref11">11</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref12">12</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref13">13</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref14">14</xref>], and Kv3.1b, KCNQ2, KCNQ3 [<xref ref-type="bibr" rid="scirp.98165-ref15">15</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref16">16</xref>]. These Na<sup>+</sup> channels also interact with the accessory β-subunits such as Navb1, Navb2, and Navb4 [<xref ref-type="bibr" rid="scirp.98165-ref17">17</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref18">18</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref19">19</xref>]. The β-subunits are covalently linked to Na<sup>+</sup> channels through an extracellular disulfide bond [<xref ref-type="bibr" rid="scirp.98165-ref19">19</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref20">20</xref>] to promote the surface expression of Na<sup>+</sup> channels and change their biophysical properties.</p></sec><sec id="s3"><title>3. The Advantages and Recent Optimization of Cryo-ET</title><p>Cryo-Electron Tomography (cryo-ET) is a powerful technology to image frozen-hydrated specimens with a transmission electron microscope (TEM) in a range of tilt angles and derive the three-dimensional (3D) information of objects in their native conditions [<xref ref-type="bibr" rid="scirp.98165-ref21">21</xref>] - [<xref ref-type="bibr" rid="scirp.98165-ref30">30</xref>]. Based on conventional TEM, cryo-ET has made improvements on sample preparation and data collection, and acquired multiple advantages in biological research. First, cryofixation circumvents most of the artifacts by stabilizing molecules in specimen instantaneously. Fine structures of the biological material can be exquisitely preserved for future scrutiny in TEM [<xref ref-type="bibr" rid="scirp.98165-ref31">31</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref32">32</xref>]. Second, the sample preparation of cryo-ET does not demand isolating the object of study from its native context [<xref ref-type="bibr" rid="scirp.98165-ref23">23</xref>]. In the cryo-ET workflow, a specific specimen are cryofixed and imaged without rigorous purification, and thus, peering into the complete spectrum of interactions relating to the interested structure is possible [<xref ref-type="bibr" rid="scirp.98165-ref21">21</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref33">33</xref>] - [<xref ref-type="bibr" rid="scirp.98165-ref36">36</xref>]. Third, the electron tomography combined with subtomogram averaging produces 3D reconstruction of a unique biological specimen at subnanometer resolution [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref9">9</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref37">37</xref>] - [<xref ref-type="bibr" rid="scirp.98165-ref41">41</xref>].</p><p>Bracing advances in cryo-ET have already been underway, pushing the biological imaging to even state-of-the-art resolution. Focused ion beam (FIB), as a well-established technique in the semiconductor industry and material science, is emerging to be a highly reliable method for the sample preparation when jointed with cryo-ET [<xref ref-type="bibr" rid="scirp.98165-ref42">42</xref>]. Cryo-FIB has effectively improved the image quality by preventing artifacts from knife-cuts such as compression in the cutting direction, curved sections and crevasses [<xref ref-type="bibr" rid="scirp.98165-ref43">43</xref>]. The advantages of cryo-FIB have been extended by its affiliation with fluorescence microscopy, that is the correlated light and electron microscopy (CLEM), to target fluorescently-labelled proteins in cryo-FIB milled sample. Also, new software and hardware for semi-automated imaging is developed for cryo-CLEM, improving the imaging throughout and fidelity by offering high stability and contamination-free loading of sample [<xref ref-type="bibr" rid="scirp.98165-ref44">44</xref>]. In addition, the application of direct detection cameras in cryo-technique has remarkably reduced the total electron dose and the acquisition time for tomographic data collection, thus facilitating the ultra-low-dose imaging for beam-sensitive specimens [<xref ref-type="bibr" rid="scirp.98165-ref45">45</xref>]. The Volta phase plate (VPP) is also incorporated into imaging workflow to largely enhance the phase contrast especially towards fine specimen structures, and the relevant workflow has been improved to include a conductive-coating procedure on sample to remove the adverse charging in lamellas for VPP imaging [<xref ref-type="bibr" rid="scirp.98165-ref46">46</xref>]. To maximize the high-resolution information available from tomograms for subsequent analysis, a dose-symmetric tilt-scheme is proposed that tilt-scheme starts from zero degree, and then moves up to the highest by alternating between the positive and negative tilts simultaneously [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>]. In this way, additional information can be collected from the lower tilts when the radiation damage hasn’t accumulated and the sample is at its thinnest state so that the information collected is of high-resolution [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>].</p></sec><sec id="s4"><title>4. Cryo-ET Workflow of Studying Ion Channel at the Nodes of Ranvier</title><p>The overall workflow of cryo-ET studying ion channel at the nodes of Ranvier is illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>(a). Neuronal cultures are grown on EM grids and then plunge frozen for cryo-ET imaging followed by 3D reconstruction. For cultures transfected with DNA constructs of fluorescent protein-tagged ion channel component, cryo-fluorescence microscopy is performed before cryo-ET for correlative imaging [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>].</p><p>The preparation of neural cultures with myelin. The experimental animal absent of specific proteins can be gained through gene knockout which may be confirmed by Western blot analysis, and the sample source can be embryonic, such as dissociated primary mixed hippocampal cells [<xref ref-type="bibr" rid="scirp.98165-ref48">48</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref49">49</xref>] or spinal cord cells [<xref ref-type="bibr" rid="scirp.98165-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref51">51</xref>] for the central nervous system (CNS) study. As for the study of nodes of Ranvier in the peripheral nervous system (PNS), dissociated dorsal root ganglia myelinating cultures can be prepared as described previously [<xref ref-type="bibr" rid="scirp.98165-ref50">50</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref52">52</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref53">53</xref>]. The detached cells are seeded on poly-L-lysine coated electron microscope (EM) grids such as Quantifoil R2/2 gold EM grids or Quantifoil R2/2 gold NH2 finder grids in Petri dishes at proper density, and incubated at 37˚C in 5% CO<sub>2</sub> with the culture medium replaced regularly [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>]. For correlative microscopy, cultures are transfected with lentiviruses [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>] containing the DNA construct of targeting fluorescence such as yellow fluorescent protein (YFP)-Kv1.2, cyan fluorescent protein (CFP)-Kv1.2, YFP-Kvβ2 or CFP-Kvβ2 DNA construct [<xref ref-type="bibr" rid="scirp.98165-ref54">54</xref>].</p><p>Antibodies and immunofluorescence staining. When the culture checked under phase-contrast light microscope [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>] is healthy and ready for subsequent sample preparation, immunolabeling of ion channels with antibody may be applied on the culture for future CLEM study. Primary antibodies may include mouse anti-Na<sub>v</sub> pan, rabbit anti-Na<sub>v</sub>1.6 [<xref ref-type="bibr" rid="scirp.98165-ref55">55</xref>], mouse anti-K<sub>v</sub>1.1, anti-K<sub>v</sub>1.2, anti-K<sub>v</sub>1.4 [<xref ref-type="bibr" rid="scirp.98165-ref48">48</xref>] and anti-K<sub>v</sub>β2 [<xref ref-type="bibr" rid="scirp.98165-ref49">49</xref>]. Retigabine and linopirdine also bind to KCNQ channels specifically [<xref ref-type="bibr" rid="scirp.98165-ref16">16</xref>]. Appropriate secondary antibody such as immunoglobulin G (IgG) or anti-rabbit conjugated with Alexa Fluor or cyanine dyes can be added to the culture for immunofluorescence labeling after redundant primary antibody is washed off with buffer solution [<xref ref-type="bibr" rid="scirp.98165-ref49">49</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref56">56</xref>]. The various types of antibodies are clearly listed in <xref ref-type="table" rid="table1">Table 1</xref> for reference.</p><p>Frozen-hydrated sample preparation. Low-density neuronal cultures grown on EM grids taken from the culture incubator are first placed in extracellular solution then mounted on a FEI Vitrobot IV. Protein A-coated colloidal gold beads (10 - 20 nm) are added to the grid as fiducial markers. After several seconds of back blotting with the aid of Teflon sheets [<xref ref-type="bibr" rid="scirp.98165-ref46">46</xref>], the grids are flash frozen in the liquid ethane or ethane/propane mixture for rapid vitrification. The samples are then stored in liquid nitrogen until use [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>].</p><p>The sample may be thinned by FIB micromachining. Cryo-FIB has effectively improved the image quality by preventing artifacts from knife-cuts, and the workflow of cryo-FIB has been optimized by coating the prepared lamella with a thin layer of platinum to improve conductivity so that the subsequently reconstructed volumes obtained with VPP may exhibit high contrast. In some cases, to avoid the small contrast reduction caused by Pt coating, a sandwich-type pre-milling coating might be considered-a conventional sputtered Pt layer followed by an organometallic protective layer, and then a final Pt layer is deposited.</p><p>Cryo-ET imaging. Grids are transferred to transmission electron microscope operating at acceleration voltage of 300 keV equipped with a direct electron detector set to a pixel size of 1.6 &#197; - 5 &#197; [<xref ref-type="bibr" rid="scirp.98165-ref57">57</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref58">58</xref>], and for each reconstruction of</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> The primary antibody and secondary antibody available for immunolabeling of ion channels</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Ion channel</th><th align="center" valign="middle" >Specific primary antibody for ion channel</th><th align="center" valign="middle" >Secondary antibody</th></tr></thead><tr><td align="center" valign="middle" >Na<sub>v</sub></td><td align="center" valign="middle" >Mouse anti-Na<sub>v</sub> pan</td><td align="center" valign="middle"  rowspan="12"  >IgG or anti-rabbit conjugated with Alexa Fluor or cyanine dyes</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.1</td><td align="center" valign="middle" >Guinea pig anti-Na<sub>v</sub>1.1</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.2</td><td align="center" valign="middle" >Guinea pig anti-Na<sub>v</sub>1.2</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.6</td><td align="center" valign="middle" >Rabbit anti-Na<sub>v</sub>1.6</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.7</td><td align="center" valign="middle" >Guinea pig anti-Na<sub>v</sub>1.7</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.8</td><td align="center" valign="middle" >Guinea pig anti-Na<sub>v</sub>1.8</td></tr><tr><td align="center" valign="middle" >Na<sub>v</sub>1.9</td><td align="center" valign="middle" >Guinea pig anti-Na<sub>v</sub>1.9</td></tr><tr><td align="center" valign="middle" >K<sub>v</sub>1.1</td><td align="center" valign="middle" >Mouse anti-K<sub>v</sub>1.1/Rabbit anti-K<sub>v</sub>1.1</td></tr><tr><td align="center" valign="middle" >K<sub>v</sub>1.2</td><td align="center" valign="middle" >Mouse anti-K<sub>v</sub>1.2</td></tr><tr><td align="center" valign="middle" >K<sub>v</sub>1.4</td><td align="center" valign="middle" >Mouse anti-K<sub>v</sub>1.4</td></tr><tr><td align="center" valign="middle" >K<sub>v</sub>β2</td><td align="center" valign="middle" >Mouse anti-K<sub>v</sub>β2</td></tr><tr><td align="center" valign="middle" >KCNQ</td><td align="center" valign="middle" >Retigabine and linopirdine</td></tr><tr><td align="center" valign="middle" >KCNQ2</td><td align="center" valign="middle" >Anti-KCNQ2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Neurofascin</td><td align="center" valign="middle" >Anti-neurofascin</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >PSD-93</td><td align="center" valign="middle" >Anti-PSD-93</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Caspr2</td><td align="center" valign="middle" >Anti-Caspr2</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >TRAAK</td><td align="center" valign="middle" >Anti-TRAAK</td><td align="center" valign="middle" ></td></tr></tbody></table></table-wrap><p>tomogram, a series of pictures are taken at regular tilt increments in an automated fashion. Tilt series may be recorded with an angular increment of 2˚ from −60˚ to +60˚, using a computer-controlled goniometer to accurately increment the angular steps [<xref ref-type="bibr" rid="scirp.98165-ref59">59</xref>]. To maximize the high-resolution information available from tomograms, a dose-symmetric tilt-scheme can be applied to collect additional high-resolution information from the lower tilts when the radiation damage hasn’t been accumulated and the sample is at its thinnest state [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>]. The images are acquired with VPP [<xref ref-type="bibr" rid="scirp.98165-ref60">60</xref>], providing enhanced contrast.</p><p>Cryo-correlative light and electron microscopy imaging. A specially designed CLEM system is required to include a custom-built cryo-chamber with liquid nitrogen supply, a cryo-holder, and an inverted fluorescent microscope, as illustrated in <xref ref-type="fig" rid="fig1">Figure 1</xref>(b) [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>]. The inside channel of the cryo-chamber is precooled to −190˚C by liquid nitrogen, and maintained below −180˚C, as monitored by a thermoelectric sensor. Then, an EM grid with frozen-hydrated sample is loaded onto an EM cryo-holder, which is subsequently inserted into the cryo-chamber [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>]. Fluorescence images are taken both in bright field and the fluorescence channel, and areas of the sample imaged are identified in the EM using the indexes of the finder grids [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>]. Low-magnification EM images are collected and approximately aligned with bright-field light microscope images using Midas program in the IMOD package [<xref ref-type="bibr" rid="scirp.98165-ref61">61</xref>]. Tilt series are collected on the area with selected fluorescent signals, and subsequently fine-aligned and merged with the fluorescence images to identify the segment of interest using Midas and ImageJ [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>].</p><p>3D Reconstruction and Refinement. The overall workflow of image processing and related softwares are presented in <xref ref-type="fig" rid="fig2">Figure 2</xref>. Tilt series are aligned and reconstructed into 3D tomograms using IMOD [<xref ref-type="bibr" rid="scirp.98165-ref61">61</xref>]. The gold beads added to the sample before plunge freezing are used as fiducial markers to align the tilt series. Tilt image alignment includes refinement of tilt axis angle and tilt angles, determination of image shifts, and accounting for beam-induced sample deformation [<xref ref-type="bibr" rid="scirp.98165-ref8">8</xref>]. MotionCor2 is robust, and sufficiently accurate at correcting local motions [<xref ref-type="bibr" rid="scirp.98165-ref62">62</xref>]. Images are CTF-corrected by phase-flipping before reconstruction of the 3D volumes [<xref ref-type="bibr" rid="scirp.98165-ref63">63</xref>] and the parameters of the CTF are estimated by ctffind4 [<xref ref-type="bibr" rid="scirp.98165-ref64">64</xref>]. Reconstruction is performed using a simultaneous iterative reconstruction technique of IMOD with 5 or 15 iterations [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>].</p><p>Segmentation can be defined as a process by which electron-dense features in a tomogram are ascribed identities and highlighted relative to other features [<xref ref-type="bibr" rid="scirp.98165-ref65">65</xref>]. Automatic segmentation of specific features is realized by EMAN2.2 software package based on convolutional neural networks to dramatically reduce the time and human effort required for subcellular annotation and feature extraction [<xref ref-type="bibr" rid="scirp.98165-ref66">66</xref>]. Nonetheless, tomograms are often segmented manually because the available segmentation algorithms are often inferior to human anticipation, which can infer</p><p>incomplete or anisotropic data [<xref ref-type="bibr" rid="scirp.98165-ref65">65</xref>]. Volume-rendered segmentations can also be manually performed using the Amira package [<xref ref-type="bibr" rid="scirp.98165-ref67">67</xref>]. The volume of each structure is displayed according to the intensity value [<xref ref-type="bibr" rid="scirp.98165-ref47">47</xref>] and filtered to make the densities smooth and continuous. Visualization and movie making can be carried out in IMOD and Amira software packages [<xref ref-type="bibr" rid="scirp.98165-ref63">63</xref>]. The measurement of structural features can be achieved with ImageJ [<xref ref-type="bibr" rid="scirp.98165-ref59">59</xref>].</p><p>Subsequent subtomogram averaging and classification yield in situ structures of molecular components of interest. A tomogram of a cell contains densities corresponding to the proteome. If a template structure generated by an independent technique is modified to suit the characteristics of the tomogram, then the tomogram can be searched exhaustively using this structure as a template. Templates can be obtained from the tomogram too [<xref ref-type="bibr" rid="scirp.98165-ref65">65</xref>]. A requirement of subtomogram averaging is that the features recognizable in the tomograms [<xref ref-type="bibr" rid="scirp.98165-ref65">65</xref>]. After localizing the repetitive features manually or via template matching, subvolumes of similar dimension are cut out and aligned together in 3D with Analyze [<xref ref-type="bibr" rid="scirp.98165-ref59">59</xref>], and multiple subvolumes are averaged afterwards using EMAN [<xref ref-type="bibr" rid="scirp.98165-ref65">65</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref68">68</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref69">69</xref>] or PEET [<xref ref-type="bibr" rid="scirp.98165-ref70">70</xref>] to increase the signal-to-noise ratio, enabling visualization of greater details [<xref ref-type="bibr" rid="scirp.98165-ref59">59</xref>].</p><p>The high-resolution features such as the structures of protein subunits can be classified including 2D classification of projections and 3D classification, and 3D auto-refined by RELION [<xref ref-type="bibr" rid="scirp.98165-ref71">71</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref72">72</xref>]. For each class, molecular dynamics flexible fitting (MDFF) is performed to refine functional models according to the density maps [<xref ref-type="bibr" rid="scirp.98165-ref73">73</xref>]. Also, the physiological role of different protein conformations may be addressed by mapping the particles back to the tomograms to investigate their cellular distribution [<xref ref-type="bibr" rid="scirp.98165-ref73">73</xref>]. Particles of interest such as ion channels from a subset of the images can be auto-selected using EMAN2 to generate templates representing different views for automated particle selection [<xref ref-type="bibr" rid="scirp.98165-ref69">69</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref74">74</xref>] and manually inspected to remove false positives afterwards [<xref ref-type="bibr" rid="scirp.98165-ref58">58</xref>]. The template can be used to localize identical structures in sample with PyTom [<xref ref-type="bibr" rid="scirp.98165-ref75">75</xref>]. EMClarity is also developed to enhance macromolecular classification and alignment for high-resolution tomography [<xref ref-type="bibr" rid="scirp.98165-ref76">76</xref>]. The segmented volume of ion channel can be fitted into protein data bank to define new, unknown density that is extra to the existing ion channel. Then the specific protein complex may be isolated from cell membrane and analyzed with Mass spectrometry to identify new interactions among the components of protein complex such as temporary regulatory proteins or cell specific protein subunits.</p></sec><sec id="s5"><title>5. The Application of Similar Workflow in Neuroscience</title><p>In the field of neuroscience, similar devised workflow of cryo-ET has been applied on studying the ultrastructure of myelin, synapses and synaptic activity such as neurotransmitter release, as well as some protein aggregates involved in neuropathy.</p><p>When it comes to exploring the genesis and structure of myelin, cryo-ET definitely plays a crucial role by maintaining state-of-the-art sample and imaging of axon and myelin unit. For example, the filamentous cross-bridges connecting cytoskeleton or membranes in the paranodes of the PNS have been ultrastructurally characterized in 3D with cryo-ET. These filaments form connections between the cytoskeleton of paranodal loop and that in the axon, and tether cytoplasmic organelles as well as other membranous organelles to cytoskeleton or membrane [<xref ref-type="bibr" rid="scirp.98165-ref59">59</xref>]. Besides, some marker such as myelin basic protein (MBP) can be identified and tracked for dynamic development of myelin at the ultrastructural level, and the cryo-ET study of MBP has provided new evidence for the developmental model that the formation of the myelin major dense line during myelination is driven by MBPs [<xref ref-type="bibr" rid="scirp.98165-ref57">57</xref>].</p><p>The neural structures involved in presynaptic and cytoskeletal organization, axonal transport and endocytosis can be quantitatively characterized in a close-to-native state with cryo-ET. For instance, the structure, organization and localization of microtubules, vesicles and smooth endoplasmic reticulum in presynapses may be readily identifiable in 3D segmentation of complete axonal boutons from tomographic slices. It has been found that short pleomorphic linkers extensively interconnect vesicles and lipid membranes, and may serve as organizers among these components in neurons [<xref ref-type="bibr" rid="scirp.98165-ref56">56</xref>]. Cryo-ET has been applied in studying calcium-regulated exocytosis taking place between 200 μs and 1 ms [<xref ref-type="bibr" rid="scirp.98165-ref77">77</xref>]. The organization of the release machinery under the docked synaptic vesicles (SVs) is delineated in nerve growth factor-differentiated neuro-endocrine (PC12) cells, and it has been observed that six distinct modules are arranged symmetrically at the SV-plasma membrane (PM) interface [<xref ref-type="bibr" rid="scirp.98165-ref77">77</xref>]. Vesicle-associated membrane protein 2 (VAMP2) in SVs are fluorescence labeled for CLEM study by transfecting PC12 with VAMP2-4X-pHluorin constructs [<xref ref-type="bibr" rid="scirp.98165-ref77">77</xref>]. The C-terminal region of Munc13-1 protein encompassing the C1, C2B, MUN and C2C domains is proposed to bridge SV and PM through interactions involving the C2C domain and the C1-C2B region [<xref ref-type="bibr" rid="scirp.98165-ref78">78</xref>]. This model is supported by the cryo-ET images which provide a direct visualization of how the Munc13-1 C1C2BMUNC2C fragment can bridge two membranes through sequences located at opposite ends of the MUN domain based on dynamic light scattering experiments [<xref ref-type="bibr" rid="scirp.98165-ref78">78</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref79">79</xref>].</p><p>Cryo-ET can also be exerted on the study of protein aggregates which might be implicated in some neuropathy. For example, the poly-Gly-Ala (poly-GA) aggregates are associated with various kinds of neural diseases such as frontotemporal dementia and amyotrophic lateral sclerosis. The structural study with cryo-ET indicates that compact twisted ribbons constitute poly-GA aggregates, and the impairing impact on proteasomes has been deduced from the particular structure of these aggregates [<xref ref-type="bibr" rid="scirp.98165-ref73">73</xref>].</p><p>In brief, it’s remarkably promising to apply cryo-ET to study biological structure in great detail and of high fidelity considering the ongoing advances in cryo-technique and antecedent achievements. In the field of neuroscience, cryo-ET has a even greater role to play to dig into the complicated interactions among neural components such as those factors involved in the deteriorating and developmental process of myelin, which is of great significance for understanding the mechanism of demyelinating diseases and inventing effective treating strategies.</p></sec><sec id="s6"><title>6. Possible Directions in Studying the Structure and Conformation Dynamics of Ion Channel Assembly on Myelinated Axons in Terms of Using Cryo-ET as an Approach</title><p>Proteomics of Kv1 channels revealed ADAM22 at juxtaparanodes (JXP) [<xref ref-type="bibr" rid="scirp.98165-ref80">80</xref>]. However, it remains unknown how ADAM22 is recruited, what are the function and ligands of ADAM22 as well as how Kv1 channels interact with cell adhesion molecules (CAMs) such as Caspr2 and TAG-1 [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. The PDZ-domain proteins PSD95 and PSD93 also exist in Kv1 channel complex with the function of PSD95/93 remains to be studied [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. Three types of CAMs, 155-kDa isoform of neurofascin (NF155), Caspr and contactin [<xref ref-type="bibr" rid="scirp.98165-ref81">81</xref>], mediate axon-glia interaction in the PNJ, separate JXP proteins from nodes of Ranvier [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>], and thus contribute to the maintenance of ion channel distribution. And yet, the cytoplasmic partners of NF155 are currently unknown [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. The other CAMs such as neuron-glia related cell adhesion molecules (NrCAMs) and the 186-kDa isoform of neurofascin (NF186) also play a significant role in linking scaffolds of ion channel to extrinsic interactions at nodes of Ranvier [<xref ref-type="bibr" rid="scirp.98165-ref82">82</xref>], although in the CNS, the cellular source of shed NrCAMs in the nodal ECM is still unknown [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>]. With the help of cryo-ET, the auxiliary structures of ion channel in terms of their source, corresponding ligands and function can be studied in native environment. The relevant research is important for understanding how ion channels are assembled and maintained, and provides insights into how these micromachines can be repaired after injury [<xref ref-type="bibr" rid="scirp.98165-ref3">3</xref>].</p><p>The identification of side-chains and the structural determination of amphipols-stabilized membrane proteins have already been achieved by cryo-EM especially when the use of detergents is undesirable [<xref ref-type="bibr" rid="scirp.98165-ref83">83</xref>]. With the developments ushering in the resolution revolution including the use of direct electron detector, VPP and focused ion beam milling, cryo-ET is extremely beneficial for mapping the localization of ion channel on the myelinated axon as well as investigating the conformation dynamics of native ion channels such as the transient curvature of lipid bilayer, arrangement of transmembrane helix, and the folding state of inactivated or desensitized ion channels. Cryo-ET may solve the problem of conformation change by dissecting the channel gating motions on the millisecond timescale [<xref ref-type="bibr" rid="scirp.98165-ref83">83</xref>].</p><p>Myelination can be modulated by extrinsic factors including electrical activity of axons, acting via oligodendroglial calcium transients [<xref ref-type="bibr" rid="scirp.98165-ref84">84</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref85">85</xref>], the glutamatergic stimulation of glucose uptake [<xref ref-type="bibr" rid="scirp.98165-ref86">86</xref>] and other extracellular signalling molecules [<xref ref-type="bibr" rid="scirp.98165-ref87">87</xref>] [<xref ref-type="bibr" rid="scirp.98165-ref88">88</xref>]. Studying ion channel localization on myelinating axon and signaling pathway for growing myelin can be achieved well with cryo-ET in terms of imaging the objects in native environment and the preservation of transient signaling factors. Further insights into the mechanism of myelinating process will be instrumental for treatment of cerebropathy during neural development and restoration of adult myelin.</p></sec><sec id="s7"><title>7. Conclusion</title><p>In this paper, antecedent works on the merits and applications of cryo-ET in neurobiology are reviewed, aiming to design a practical workflow for studying ion channels at nodes of Ranvier. Multiple improvements in cryo-ET are emphasized such as cryo-FIB, cryo-CLEM, and dose-symmetric tilt-scheme method for data collecting, which are significant in broadening the application of cryo-ET and enhancing the resolution of output. Overall, cryo-ET is a promising technique for solving the problems related to ion channel compounds including localization, conformation dynamics, accessory structures of ion channel and transient regulatory factors, due to the advantages of cryo-ET by allowing studies of biological ultrastructure in its native conditions and the collection of high-resolution 3D information of objects.</p></sec><sec id="s8"><title>Conflicts of Interest</title><p>The author declares no conflicts of interest regarding the publication of this paper.</p></sec><sec id="s9"><title>Cite this paper</title><p>Wang, J.X. (2020) Cryo-ET Workflow for Understanding Ion Channels Localization on the Nodes of Ranvier. 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