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The idea that new neurons are generated in the adult human brain throughout the lifespan has fascinated the scientific community for decades. The knowledge that the brain generates new neurons throughout its lifespan was attained through the detection of cells under division1,2. Detection of newly generated neurons in the adult brain was first identified by intracranially injecting tritiated thymidine (thymidine-H3) in rats and detecting cells in the cell cycle by autoradiograms1,2. Cell division of glia and the presence of neuroblasts was reported, which was the first promising data on the postnatal neurogenesis1. Nevertheless, the use and detection of thymidine-H3 implied the use of radioactivity, which can be harmful to the people who manage it. The first effort examining the suitability of BrdU immunohistochemistry in the study of proliferation, migration, and origin of cells in the nervous systems appeared in 1988 by Miller and Nowakowski3. In 1998, a paper published by Eriksson and colleagues showed that new neurons were visualized postmortem in the human adult brain of patients injected with 5-Bromo-2′-deoxyuridine (BrdU)4. These patients received the BrdU injection (250 mg intravenous) to label the growth of tumors4. This technique was adopted into animal models. The introduction of these methods marked a milestone for the field since this allowed detection of newly generated cells without the use of radioactive compounds. This procedure became the gold standard to measure cell proliferation in adult brain niches to promote further research in the field.
The limitation of the thymidine analog technique is that it does not allow the determination of cellular identity for the newly generated cells. However, immunohistochemistry allows us to carry out double- or triple- labeling technique of the same cell, which validates the cellular fate of the newly generated cells and even their stages of maturation, leading to further evolution of the field. This method was characterized to differentiate newly generated cells into glia, undifferentiated neurons, or a fully mature granular cell, and even to determine if they are participating actively in the circuitry. Another breakthrough in the field was the use of transgenic models to identify undifferentiated cells under the domain of nestin. The nestin-GFP transgenic mice express an enhanced green fluorescent protein (GFP), which is under the control of the nestin promoter. Nestin is an intermediate filament characterized by progenitor cells5. The nestin-GFP transgenic mice allowed to establish early developmental steps involved in neurogenesis6. However, a significant limitation is to be able to maintain a nestin-GFP transgenic mice colony under special conditions in a laboratory facility that becomes cost-effective for some scientific groups, especially those from developing countries.
The techniques mentioned above have advantages and disadvantages. However, identification of proliferating cells by immunohistochemistry (IHC) and the possibility to carry out double- or triple- labeling technique by immunofluorescence to identify cell maturation stage or cell fate represents the most feasible way to measure adult neurogenesis, so far. The identification process using immunohistochemistry consists of labeling proteins, protein domain, or nucleotides with a specific antibody that allows their recognition known as primary antibody. The latter is recognized by the secondary antibody, which is marked with a chromogen (e.g., horseradish peroxidase) or a fluorochrome (e.g., FITC) coupled with the secondary antibody. Microscopes can detect both chromogens and fluorochromes signals. Using IHC, it is possible to identify membrane proteins, cytoskeleton proteins, or nuclear components such as BrdU. On the other hand, BrdU can be found in the cellular nucleus since it is incorporated into the DNA during S-phase by competition. Therefore, a crucial step is the DNA denaturation with HCl, which opens DNA bonds to allow the BrdU antibody access to BrdU within the DNA. It is essential to know that BrdU is present in a saturated concentration in mice and rat serum for 15 and 60 min respectively, after intraperitoneal administration, then drops rapidly to undetectable levels at 60 and 120 min respectively7.
Here, we describe four different but closely related IHC techniques: chromogenic indirect detection using horseradish peroxidase (HRP) reaction with DAB (3,3'-diaminobenzidine) sans signal amplification (step 4.1), avidin-biotin complex (ABC) amplification (step 4.1), indirect immunofluorescence detection without signal amplification (step 4.4) and labeled streptavidin-biotin (LSAB) amplification (step 4.3). Each method has advantages and disadvantages and could be useful for specific tissue requirements (see Table 1). We decided to follow indirect ICH methods due to their affordability and simplicity to make changes from chromogenic to fluorescent detection methods when using unconjugated primary antibodies. The HRP approach is a commonly used IHC method due to its affordability, high stability, high turnover rate, and substrates' full availability. Nevertheless, we recommend using a positive control to confirm that the staining method works accurately and the use of negative control to test the antibody function effectively. Multiple immunostainings or multiplex IHC methods (see step 6) are potent tools to acquire large amounts of data from the tissue section in a single experiment. This technique is particularly important when the availability of samples is limited. Another advantage is the possibility to simultaneously identify specific proteins co-expressed in the same cellular space while preserving tissue integrity. Multiplex allows to stain different markers expressed during specific proliferative stages (e.g., nestin, GFAP, DCX, Ki-67), enabling us to reach a more detailed proliferation and differentiation research8. It is crucial to choose antibodies compatible with the fixation technique used to avoid cross-reactivity. We recommend testing each new antibody (including BrdU) individually to adjust and refine the method. Then, introduce the double sequential staining and, finally, start the simultaneous immunostaining process when the sequential method is entirely dominated. It is crucial to choose appropriate secondary antibodies for this method.
| Method | Specific Method | Advantages | Disadvantages |
| Indirect Detection Method | Peroxidase reaction with DAB | 1. Higher sensitivity than the direct detection and indirect fluorescence method.
2. Higher resistance to Photobleaching than fluorochromes.
3. Lower cost than fluorescence detection method | 1. Difficult for Multiplexing with fewer color dyes.
2. Complicated for Co-expressed targets in the same cellular space.
3. Reduced Dynamic Range for simultaneous scarce and high abundant targets on the same tissue. |
| Fluorescence | 1. Best and easiest for Multiplexing with more color dyes.
2. Best for Co-expressed targets in the same cellular space.
3. Better Dynamic Range for simultaneous scarce and high abundant targets on the same tissue.
4. No Additional Steps. | 1. Lower sensitivity than the indirect peroxidase reaction with DAB method.
2. Weak resistance to Photobleaching over time.
3. More expensive. |
| Signal Amplification Method | Avidin-Biotin Complex (ABC) | 1. Higher sensitivity than the direct and indirect detection method.
2. Reduce background | 1. Additional Steps.
2. More expensive than not amplification. |
| Labeled Streptavidin-Biotin (LSAB) | 1. Higher sensitivity than the direct and indirect detection method.
2. More substantial tissue penetration than the ABC method.
3. Reduce background | 1. Additional Steps.
2. More expensive than the ABC method. |
| Not additional amplification method | 1. Lower cost.
2. No additional steps.
3. Ideal for high abundant targets. | 1. Lower sensitivity: problematic with no abundant targets. |
Table 1: Advantages/disadvantages of IHC techniques. This table shows the advantages/disadvantages for indirect detection methods: Peroxidase reaction with (3,3'-diaminobenzidine) DAB and fluorescence; and signal amplification methods: avidin-biotin complex (ABC), labeled streptavidin-biotin (LSAB), and not additional amplification method.
A high-resolution image is fundamental to perform proper analysis and present the outcomes. There are two approaches to improve the resolution: 1) use of a better microscope design (e.g., confocal, multiphoton) or 2) numerically inverting the blurring process to enhance images using deconvolution9. Unfortunately, confocal microscopy is not affordable due to the high costs of equipment and its servicing10. A wide-field epifluorescence microscope and the subsequent deconvolution of the z-stack images provide a suitable, low-cost alternative to confocal microscopy8,9. As noted above, deconvolution goal is to restore the original signal that was degraded by the acquisition system9, by reducing blur, out-of-focus haze and distortion shown in the image obtained by an epifluorescence or confocal microscope using mathematical removal algorithms10. The acquired blurred image can be mathematically modeled as the result of convolving the observed objects with a 3D point-spread function (PSF). PSF is a theoretical diffraction pattern of the points of light emitted by the tissue sample and collected by the microscope. PSF file is created with the specific conditions of each image, such as the CCD cell spacing of the camera, refractive index of the media used, the numerical aperture of the objective lens, the emission wavelength of the fluorophore, image sizes, number of images in the z-stack processing method and the space between them (see technical specification in Table 2). In other words, the PSF file summarizes the effects of the imaging setup on the microscope observations9. However, we use the diffraction PSF 3D Plugin (https://imagej.net/Diffraction_PSF_3D) to create our own specific PSF file for each z-stack image. Z-stack images are a series of digitized optical sections from defined depths (z-axis) at the same XY location of the slide. A computer compiles the information obtained from the focus plane by reassigning signals which have originated from objects located in other focal planes. To create z-stack images, it is necessary to take images from different focused layers of the slides (e.g., ten different images of the same XY area every 1 μm depth). Then, we use microscopy software provided by the manufacturer or Fiji to create a z-stack or 3D image. The result will be a single stack image file (e.g., ten images with different focuses). There are several customer-specific tools and software solutions, such as open-source software for deconvolution microscopy. We will show the outputs of the deconvolution process using DeconvolutionLab29 which is a Fiji11 plugin (distribution of ImageJ12). Deconvolution will help improve the resolution of final micrographs (see Figure 1B,C ). For further information and instruction, we strongly recommend reading reference13.

Figure 1: Representative image of 3D deconvolution for multiple color channels. (A) DG at low magnification. (B) The original z-stack images for each channel and the merged image. (C) 3D deconvoluted z-stack images for each channel and the merged image. This brain was from the rat that was the part of physical activity group. Labeled streptavidin-biotin (LSAB) amplification method was used. It showed Cy3 streptavidin conjugated antibody for indicating BrdU (red), DAPI as a counterstaining (blue), and glial fibrillary acidic protein (GFAP) as an astroglial marker (green). ML = molecular layer; GCL = granular cell layer; SGZ = subgranular zone. Please click here to view a larger version of this figure.
The purpose of this work is to provide a detailed description of the steps to obtain positive and successful outcomes with immunostaining and to list commonly used steps in BrdU-based studies, without the use of a confocal microscope. BrdU staining is a technique that requires several steps that must be carefully followed to achieve a successful stain. Standardizing these staining techniques typically takes months and is time and resource intensive. We anticipated that this article could provide information to the groups starting out within this field by reducing time and errors.