To understand the structure of neuronal networks, functional and morphological characterization of individual neurons is a necessity. Here, we demonstrate juxtasomal biocytin labeling, which allows electrophysiological recordings in the extracellular configuration, yet maintaining the ability to intracellularly label the neuron for post hoc reconstruction of dendritic and axonal architecture.
The cerebral cortex is characterized by multiple layers and many distinct cell-types that together as a network are responsible for many higher cognitive functions including decision making, sensory-guided behavior or memory. To understand how such intricate neuronal networks perform such tasks, a crucial step is to determine the function (or electrical activity) of individual cell types within the network, preferentially when the animal is performing a relevant cognitive task. Additionally, it is equally important to determine the anatomical structure of the network and the morphological architecture of the individual neurons to allow reverse engineering the cortical network. Technical breakthroughs available today allow recording cellular activity in awake, behaving animals with the valuable option of post hoc identifying the recorded neurons. Here, we demonstrate the juxtasomal biocytin labeling technique, which involves recording action potential spiking in the extracellular (or loose-patch) configuration using conventional patch pipettes. The juxtasomal recording configuration is relatively stable and applicable across behavioral conditions, including anesthetized, sedated, awake head-fixed, and even in the freely moving animal. Thus, this method allows linking cell-type specific action potential spiking during animal behavior to reconstruction of the individual neurons and ultimately, the entire cortical microcircuit. In this video manuscript, we show how individual neurons in the juxtasomal configuration can be labeled with biocytin in the urethane-anaesthetized rat for post hoc identification and morphological reconstruction.
Neuronal networks consist of multiple cell types, characterized by highly specific morphological and physiological properties1-7. As a consequence, individual cell types perform specialized tasks within the network (see for instance Gentet et al.8 and Burgalossi et al.9). We are only beginning to understand cell type-specific functions across neuronal networks and much is still to be discovered. To this end, many labs are implementing experimental approaches that allow the analysis of morphological properties of the same neuronal population from which physiological parameters have been obtained1,10-15. Here, we demonstrate the juxtasomal labeling technique16,17 which involves electrophysiological recordings using conventional patch pipettes in the extracellular (thus noninvasive) configuration in combination with electroporation of the recorded neuron with biocytin. The major advantage of this approach is that the noninvasive nature ensures that action potential spiking of individual neurons is recorded without altering (e.g. dialyzing) the intracellular content of the cell. Followed by electroporation, the juxtasomal approach provides the option of post hoc cell identification and reconstruction to link function (physiology) to structure (morphology). Typically, morphological reconstruction involves reconstruction of dendritic and axonal morphology which can be extended to quantification of spine and/or bouton densities or even reconstruction of neuronal morphology at nanometer resolution using electron microscopy. The juxtasomal recording technique can be used for in vivo recordings of various cell-types across cortical layers or in sub-cortical areas in a range of species, although most studies have applied the technique in small rodents such as mice or rats. Our research is focused on recording and labeling neurons from rat primary somatosensory cortex (S1) and involves visual identification of recorded neurons18, dendritic reconstructions in combination with precise registration in a standardized reference frame to reverse engineer cortical networks4,19 and detailed reconstruction of axonal architecture to characterize cell type-specific local and long-range projection targets20.
Compared to alternative in vivo recording techniques (intracellular or whole-cell), juxtasomal recordings are relatively stable and can therefore be applied across behavioral states including anesthetized21,22, sedated14, awake head-fixed23, or even freely-moving animals9. Here, we show juxtasomal labeling in S1 of a urethane-anesthetized rat, although we emphasize the general applicability of this technique to many preparations of choice.
1. Preparation of the Animal
All experimental procedures are carried out in accordance with the Dutch law and after evaluation by a local ethical committee at the VU University Amsterdam, The Netherlands.
2. Juxtasomal Recordings and Biocytin Labeling
3. Perfusing the Animal and Removing the Brain
4. Slicing the Brain in Tangential Sections
5. Histological Procedures
Detailed knowledge on 3D structure of individual neurons is crucial for elucidating organizational principles of neuronal networks. Our method involves a pipeline to achieve high quality biocytin labeling from an in vivo preparation, thereby allowing post hoc neuronal classification and detailed reconstruction of dendritic and axonal architecture of single neurons at high resolution. Depending on the quality of juxtasomal labeling, neurons are recovered with different DAB-intensities ranging from faint to intense DAB signals at positions that very accurately correspond to the recording location19,26. In our lab, a trained experimenter operates at a success-rate of 30-40% in urethane anaesthetized rodents. This indicates that one neuron is selected for dendritic and axonal reconstruction in one out of three experiments which then meets the following criteria: 1) only one neuron filled in the brain, 2) excellent labeling quality, 3) biocytin signal is constant along axonal projections and does not decrease at distal endings, 4) Cyt C counterstaining is successful to allow neuronal registration, and 5) no damage to brain slices during histology. The limiting factor is typically insufficient biocytin labeling, meaning that in ~80% of all experiments (anaesthetized and/or awake), the recorded neuron will be recovered (soma and dendrites). This is sufficient for cell type classification but not for reliable and complete reconstruction of the axonal architecture. In Figure 3, we show two examples of biocytin-labeled neurons with DAB signal after appropriate juxtasomal labeling; one spiny pyramidal neuron (Figure 3A) and one interneuron (Figure 3B). Reconstruction of adjacent tangential sections allows serial reconstruction to obtain full neuronal morphology18,22,23,27,28. Additionally, histological staining of anatomical reference frames (for instance in primary somatosensory cortex) allows registering single neurons to standardized reference frames4,19. The two examples presented here reflect optimal conditions to classify and subsequently reconstruct the morphological properties with a manual or automated system (Figure 4)15,20,29-31.
Figure 1. Electrode characteristics for juxtasomal biocytin labeling. (A) Electrode for juxtasomal recording of cortical neurons at 300-500 μm depth with respect to pial surface. (B) Electrode for juxtasomal recording of cortical neurons at 1,500-1,800 μm recording depth. Note the difference in taper length between panels (A) and (B). (C) High magnification image to illustrate electrode tip shape which remains constant across various recording depths and/or cell types. Click here to view larger image.
Figure 2. Electrophysiological properties during biocytin filling. (A, B) Spontaneous action potentials are observed during the application of square pulses (200 msec, on/off) with positive current but with insufficient amplitude to load the neuron with biocytin. (C) Increasing the current amplitude results in opening of the neuronal membrane allowing biocytin-loading, visible in the trace as phase-locked burst-spiking during the on-phase of the pulse. (D) The spike waveform during filling shows an increased width and reduced after hyperpolarization. Spike amplitude is normalized to spike amplitude in B for comparison. (E, F) After successful recovery of the neuron subsequent to the filling session a normal spike width and frequency can be observed. Spike amplitude is normalized to spike amplitude in B for comparison. Click here to view larger image.
Figure 3. Biocytin-DAB labeling from juxtasomally filled neurons in primary somatosensory cortex of urethane anaesthetized rats. (A) Pyramidal neuron in tangential view. Note the prominent difference in diameter size of dendrites and axons. (B) Fast-spiking interneuron in tangential view. Note the beaded structure of the dendrites and axons. Click here to view larger image.
Figure 4. Digital reconstruction of juxtasomally labeled neuron. (A) Neuron projection image at high resolution (but low magnification) obtained from 100 µm tangential slice of layer 6 neuron of rat primary somatosensory cortex using semi-automated imaging pipeline. (B) The same image as in (A) with automated digital reconstruction overlaid (axon in blue, dendrite in red, respectively). (C) Bracket box from (B) zoomed in to illustrate reliability of axonal reconstruction using juxtasomal labeling. Note the axon boutons throughout the length of the axon; two boutons are highlighted by black arrows. Click here to view larger image.
mM | g/ltr | |
135 | NaCl | 7.8894 |
5.4 | KCl | 0.40257 |
1.8 | CaCl2 | 0.26464 |
1 | MgCl2 | 0.2033 |
5 | HEPES | 1.1915 |
Adjust pH to 7.2 with NaOH | ||
Add 20 mg/ml-1 biocytin |
Table 1. Normal Rat Ringer Supplemented with Biocytin.
8 mg | Cytochrome C from equine heart |
8 mg | Catalase from bovine liver |
265 µl | 75 mg/ml DAB |
Dissolve in 40 ml 0.05M PB | |
Filter and preheat solution at 37 °C |
Table 2. Solution for Cytochrome C oxidase staining.
1 drop | Reagent A |
1 drop | Reagent B |
0.5 ml | 10% Triton X100 |
Dissolve in 9.5 ml 0.05M PB (45 min in advance) | |
Add 410 µl solution/well | |
Protocol for ABC-solution for one 24-well plate. |
Table 3. Solution with Vectastain standard ABC-kit.
265 µl | 75 mg/ml DAB |
13.4 µl | 30% H2O2 |
Dissolve in 40 ml 0.05 M PB and filter solution before use |
Table 4. Solution for DAB staining.
6 g | Analytical grade glycerol |
2.4 g | Mowiol 4-88 |
Manually stir 10 min to coat Mowiol with glycerol | |
6 ml | Distilled H2O |
Incubate at RT for 2 hr | |
12 ml | 0.2 M Tris pH 8.5 |
Incubate in 50 °C waterbath for 1hr – O/N, stir occasionally | |
Centrifuge 15 min at 5,000 x g, aliquot and store at -20 °C |
Table 5. Mowiol solution.
The juxtasomal method allows recording in vivo action potential spiking from single units across behavioral conditions (anesthetized, awake head-fixed or freely moving) with the option of biocytin-labeling the recorded neuron for post hoc cell type classification and/or 3D reconstruction. The major advantage is to obtain physiological parameters in the extracellular (thus noninvasive) configuration, yet being able to label the neuron intracellularly with biocytin16,17,32. In addition to biocytin labeling, this technique can be used to inject neurons with DNA, RNA, proteins, or fluorescent dyes33,34. The most obvious disadvantage of this approach is perhaps the lack of visual control of the labeling quality, and thus no means of checking the labeling quality during the experiment. However, recording conditions and particularly action potential shape can be used to assess the success of the labeling procedure. For instance, the likelihood of recovering a neuron with dense biocytin-DAB label increases when the spiking frequency during current pulses dramatically increases, accompanied with disappearance of the after-hyperpolarization and broadening of the action potential waveform (see Figure 2). Additionally, the quality of biocytin-labeling is directly correlated to the summed length of the separate labeling sessions, such that several long filling sessions (>60 sec) will result in better histological quality compared to an individual short filling session (<30 sec). Finally, the survival time for tracer diffusion will critically determine the labeling intensity of distal compartments. In general, survival time of 1 hr after high-quality electroporation ensures sufficient labeling of long-range intracortical axonal projections. One example of such long-range projections are neurons from primary somatosensory cortex projecting to secondary somatosensory cortex or dysgranular zones thus projecting to areas which are several millimeters away from the labeling site4,20. When axonal projections of even larger dimensions are investigated (such as thalamocortical projections), survival time should be increased15. Important to realize is that electroporation of the neuron will have a profound effect on the physiological condition of the neuron due to excessive sodium influx from the electrode solution. Thus, it is highly recommended to intermingle filling episodes with quiescent episodes to allow full recovery of action potential spiking and monitoring recording conditions after filling sessions when biocytin is allowed to diffuse along the dendritic and axonal arborizations12,31.
The authors have nothing to disclose.
We would like to thank Profs. Huibert Mansvelder and Bert Sakmann for extensive support, Dr. Marcel Oberlaender for fruitful discussions and providing neuronal tracing, and Brendan Lodder for technical assistance. Data was acquired using the ntrode VI for LabView, generously provided by R. Bruno (Columbia Univ., NY, USA). This research was supported by the Max Planck Society and the Bernstein Center for Computational Neuroscience, Tuebingen (funded by the German Federal Ministry of Education and Research (BMBF; FKZ: 01GQ1002))( R.T.N.), Center for Neurogenomics and Cognitive Research (CNCR), Neuroscience Campus Amsterdam (NCA), funding to C.P.J.d.K. (NWO-ALW #822.02.013 and ENC-Network #p3-c3) and the VU University Amsterdam.
SM-6 control system | Luigs & Neumann | ||
LN- Mini 23 XYZ | |||
LN- Mini 55 Manipulatorblock X2 | |||
Lynx-8 amplifier | Neuralynx | ||
Axoclamp-2B amplifier | Axon Instruments | ||
Osada model EXL-M40 | Osada, inc. | ||
Piezoelectric device | Physik Instrumente | PL140.10 | |
Labview | National Instruments, Austin, TX, USA | ||
Ntrode Virtual Instrument | R. Bruno, Columbia Univ., NY, USA | ||
(Labview acq. software) | |||
Sugi absorbent swabs | Kettenbach | 30601 | |
Cytochrome C from equine heart | Sigma | C2506 | |
Catalase from bovine liver | Sigma | C9322 | |
DAB | Sigma | D5637 | |
H2O2 | Boom | 7047 | |
Vectastain standard ABC-kit | Vector | PK6100 | |
Triton X100 | Sigma | T9284 | |
Urethane | Sigma | U2500 | |
Isoflurane | Pharmachemie | 45.112.110 | |
Lidocaine | Sigma | L5647 | |
Simplex rapid dental cement | Kemdent | ACR308/ACR924 | |
Biocytin | Molekula | 36219518 | |
PFA | Merck Millipore | 8187151000 | |
Trizma base | Sigma | T4661 | |
Mowiol 4-88 | Aldrich | 81381 | |
Analytical grade glycerol | Fluka | 49767 | |
HEPES | Sigma | H3375 | |
NaCl | Sigma Aldrich | 31434 | |
KCl | Sigma Aldrich | 60130 | |
CaCl | Sigma Aldrich | 22,350-6 | |
MgCl2 | Fluka | 63072 |