Cryo-section-dissection allows fresh, frozen preparation of the largest neurogenic niche in the murine brain for deep quantitative proteome analysis. The method is precise, efficient, and causes minimal tissue perturbation. Therefore, it is ideally suited for studying the molecular microenvironment of this niche, as well as other organs, regions, and species.
The subependymal neurogenic niche consists of a paraventricular ribbon of the lateral ventricular wall of the lateral ventricle. The subependymal zone (SEZ) is a thin and distinct region exposed to the ventricles and cerebrospinal fluid. The isolation of this niche allows the analysis of a neurogenic stem cell microenvironment. However, extraction of small tissues for proteome analysis is challenging, especially for the maintenance of considerable measurement depth and the achievement of reliable robustness. A new method termed cryo-section-dissection (CSD), combining high precision with minimal tissue perturbation, was developed to address these challenges. The method is compatible with state-of-the-art mass spectrometry (MS) methods that allow the detection of low-abundant niche regulators. This study compared the CSD and its proteome data to the method and data obtained by laser-capture-microdissection (LCM) and a standard wholemount dissection. The CSD method resulted in twice the quantification depth in less than half the preparation time compared to the LCM and simultaneously clearly outperformed the dissection precision of the wholemount dissection. Hence, CSD is a superior method for collecting the SEZ for proteome analysis.
As neurogenesis is restricted in the adult brain, various central nervous system repair strategies would greatly benefit from an increased understanding of the underpinnings of adult neural replacement. Rodents have helped us understand the basic mechanisms of postnatal neurogenesis, although it should be noted that adult neurogenesis is greatly species-dependent. In mice, there are three adult neural stem cell (NSC) niches. The hypothalamus is an adult NSC niche with neurogenic potential1,2, while continuous adult neurogenesis is mainly restricted to the hippocampus3 and the SEZ of the lateral walls of the lateral ventricles4,5,6. The SEZ is the largest germinal region containing NSCs (type B cells) that develop into neuroblasts (type A cells) via transit-amplifying progenitor cells (type C cells). The SEZ contains 20-35% of type B cells, 1-15% of type C cells, 1-30% of type A cells, and 25-50% of ependymal cells7. The SEZ features a complex microarchitecture, with endothelial cells, microglial cells, and ependymal cells residing in and influencing the stem cell niche8,9,10. Although neurons are scarce in the SEZ, axons emanating from distant sources such as the striatum, the ventral tegmental area, or the hypothalamus reach and influence type B cells4. A unique feature of this stem cell niche is the separation between the site of proliferation and the site of differentiation. After proliferation, the neuronal progenitors migrate several millimeters from the SEZ to the olfactory bulb, where they terminally differentiate into neurons and integrate into pre-existing neural circuits. Investigations into cell-intrinsic programs associated with neurogenesis have already provided knowledge important for experimental therapeutic cell reprogramming and transplantation strategies15,16,17,18,19,20. However, cell-extrinsic signals also regulate neurogenesis, and tissue environments can determine the neurogenic fate of stem cells11,12,14,21,22,23. Consequently, the investigation of the microenvironment of the neurogenic niches and its interaction with the stem cells is of crucial importance.
The extracellular matrix (ECM) and other secreted proteins are a large part of the microenvironment. For accurate identification and quantification, a proteomic approach is better suited than a transcriptomic approach to determine ECM composition due to the low correlation between transcriptome and protein levels for ECM24,25. Moreover, there is substantial evidence that niche regulators in the SEZ are not exclusively produced by cells populating the niche itself. More distant locations, such as the choroid plexus, secrete modulatory signals transmitted to the stem cells via the cerebrospinal fluid22,23. Investigating the niche proteome can help to identify niche regulators present in the niche independent of their production site, given that a substantial proportion of the extracellular microenvironment is assembled by proteins.
To collect the murine ventricular zone for unbiased proteomic analysis, a method with high precision is required, capturing the ca. 50 µm thin paraventricular ribbon containing stem cells while excluding the tissue of the adjacent striatum. Furthermore, tissue perturbation during the dissection must be minimalized for analyzing the extracellular microenvironment because soluble proteins, including growth factors or cytokines, could be washed away easily. Although it is possible to analyze the mass spectra of fixed tissue, the required agent, such as paraformaldehyde, will reduce the protein identification depth and may introduce posttranslational modifications. A common wholemount SEZ dissection, e.g., for the collection of cells for fluorescence-activated cell sorting analysis, removes the whole SEZ with scissors26. This standard dissection is fast with minimal tissue perturbation. However, striatal contamination of the samples cannot be avoided. Conversely, LCM has the outstanding advantage of superior dissection precision. However, LCM may introduce tissue perturbations, for instance, due to background staining or laser-caused protein denaturation. To combine the strengths of the wholemount dissection and LCM, a novel method that is compatible with MS, termed cryo-section-dissection (CSD), was developed (Figure 1A–D). The CSD allows the extraction of the SEZ and the dissection of the SEZ of the medial walls of the lateral ventricles (MEZ), which is an ideal, mostly non-neurogenic control region for the SEZ (see the protocol). The niche proteome obtained by the combination of CSD and state-of-the-art MS methods proved to be useful for the characterization and identification of novel regulators in this adult NSC niche25. Hence, this method will be useful for the determination of SEZ tissue protein composition.
All experimental procedures in this study were performed in accordance with German and European Union guidelines and were approved by the institutional animal care committee and the government of upper Bavaria (Regierung von Oberbayern). Only male C57Bl6 mice between the ages of 8-10 weeks were used for the experiments.
1. Preparation of the mouse brain (~ 15 min per mouse)
2. Sectioning of the prepared brain (~ 15 min per mouse)
3. Free-hand dissection of brain slices (~ 30 min per mouse)
When following the above steps, the tissue samples in the microcentrifuge tubes are ready for and compatible with MS sample preparation. After sample preparation, we obtained ~5-7 μg of peptides per sample of either SEZ or MEZ per mouse. However, the final amounts of the peptides may depend on the MS preparation method. In the proteome comparisons below, protein identification and quantification depth (500-1,000 proteins per sample) were increased by computationally matching the peptide spectra to peptide spectra libraries created for each tissue region25,27. Notably, the loss-less nano fractionation method used here for the creation of the peptide spectra libraries is currently not commercially available. The raw MS data were analyzed using the MaxQuant software28, achieving mass accuracies in the parts per billion range29. The Max Quant environment allows matching between MS runs. Protein abundance was quantified using a label-free quantification algorithm30. Immunohistochemical staining was done on fresh frozen tissues and performed as previously reported25 (see the Table of Materials).
Cryo-section-dissection
The complete SEZ and MEZ of adult mice (n = 4) were obtained using CSD (see Figure 1 and protocol). The somatosensory cortex (Cx) was dissected with surgical scissors. Additional 4 mice were dissected in the same manner; however, the dissected tissue was pooled into one sample per region to create the proteome library (10,923 identified proteins) for increased protein identification and quantification in the individual samples25. In the four individual samples, (mean ± SD) 6,673 ± 317.4 proteins were quantified in the SEZ and 6,747 ± 37.7 in the MEZ. All the MS proteomics data were deposited in the ProteomeXchange Consortium via the PRIDE31 partner repository, and the accession number for the proteomes reported here is ProteomeXchange: PXD016632 (http://proteomecentral.proteomexchange.org).
Comparison to wholemount dissection
Wholemount dissection was performed according to a standard protocol26. Wholemount dissection revealed a similar number of proteins (approximately 6,000 for SEZ and 6,000 for Cx, n = 4 per group) compared to CSD25. One of the intended improvements of using CSD for the SEZ, instead of a wholemount dissection protocol, is the reduction of potential striatal contamination. In SEZ samples contaminated with tissue from another region, detected candidate proteins cannot be allocated to a region as significant enrichment can result from the region of interest and the contaminator. Immunohistochemically, the myelin-associated glycoprotein (MAG) positive myelin-rich internal capsules of the striatum were identified in the wholemount samples but seldom in the CSD samples (Figure 2A). The striatal contamination in the wholemount samples could be confirmed by identifying the enrichment of myelin proteins in the SEZ compared to the somatosensory cortex (Cx) Grey Matter (GM) samples (Figure 2B). Note that large parts of the Cx GM, especially the upper Cx layers, are unmyelinated32.
As large fiber bundles pass through the striatum, contamination by this region resulted in the enrichment of myelin proteins compared to the Cx. The myelin proteins used as markers for striatal contamination in the SEZ samples were the myelin basic protein (MBP), the myelin-associated glycoprotein (MAG), the proteolipid-protein 1 (Plp1), and the 2',3'-cyclic-nucleotide 3'-phosphodiesterase (Cnp). All myelin-marker proteins were significantly enriched in the SEZ compared to the Cx. Conversely, comparisons for the four myelin marker proteins in the CSD dataset yielded no significant differences when comparing SEZ to Cx (Figure 2B). Proteomic data of the striatum33 supports the hypothesis that the enrichment of myelin proteins in the SEZ samples of the wholemount dissection was caused by the contamination with striatal tissue. Hence, the CSD largely prevented contamination by striatal tissue (rich in compact myelin) compared to a wholemount dissection.
Unbiased proteome analysis of non-dissociated tissue can reveal interesting extracellular proteins. With improved dissection using the CSD, extracellular-associated proteins were significantly enriched in the samples compared to the wholemount samples (Figure 2C, annotation enrichment test). The CSD and wholemount dissection display a comparable enrichment of the gene ontology (GO) terms "extracellular vesicular exosome" and "extracellular region part." However, the GO term "Matrisome-associated" is slightly more enriched in the CSD than in the wholemount dissection. Accordingly, the ECM cross-binding enzyme and recently discovered neurogenesis regulator transglutaminase-2 (Tgm2) were found enriched in the SEZ compared to Cx using the CSD25. In contrast, no difference was found between SEZ and Cx samples obtained by the wholemount dissection (Figure 2D). Proteomic data of the striatum33 support the hypothesis that the detection of the neurogenesis regulator Tgm2 by wholemount dissection was impeded by the contamination with striatal tissue. Hence, overall, the cryo-section-dissection is a successful but also necessary improvement to the standard dissection for niche-specific proteome analysis.
Comparison to Laser-capture-microscopy
The front half of the SEZ and the MEZ of 3 adult mice were obtained for LCM (Figure 3A ). Overall, the LCM method exhibits some disadvantages, specifically regarding tissue perturbation and efficiency. To visualize the region of interest under the dissection microscope, background staining is necessary, potentially washing away small or soluble proteins of interest, e.g., growth factors, cytokines, or ECM regulators such as enzymes. Furthermore, slides spend varying times at room temperature during laser removal. Moreover, the laser itself might denature proteins of interest.
CSD has a considerable advantage over LCM regarding the time and effort necessary to perform the dissection: step 1 of the protocol must be performed similarly for both CSD and LCM; without this step, ventricular walls remain adherent, making the separation of MEZ and SEZ samples difficult. Given that the CSD sections (100 µm) are 6-7 times thicker than the maximum thickness34 of the LCM sections (15 µm), step 2 (sectioning of the brain) and step 3 (removing the MEZ and SEZ from each coronal section) will take at least 6-7 times longer for LCM. The necessary background staining and setting up the laser microscope will consume additional time. Here, it took three times longer to harvest 50% of the SEZ and MEZ of 3 animals by LCM compared to 100% of the SEZ and MEZ of 4 animals by CSD, constituting an eightfold speed advantage of CSD. In summary, LCM not only requires a notable amount of additional effort, but the tissue is also subjected to a substantially longer period of manipulation and temperature changes that can compromise the dynamics and reliability of data generated by subsequent analysis.
The MS results of CSD were compared to the results from the laser capture microdissection (LCM). Both datasets were matched to the proteomic library generated by pooling CSD samples. On average, LCM yielded 3,441 ± 270.0 and 3,613 ± 238.7 individual proteins in the SEZ and medial ventricular zone, respectively (Figure 3B). Given the remarkable difference in protein identification, principal component analysis (PCA) displayed distinct separation according to the dissection method (component 1: 62.7%, not shown). Component 2 displayed the greatest separation for SEZ and MEZ among the LCM samples (8.5%, Figure 3C). Component 3 also seems to separate LCM and CSD; however, this difference might result from method-based differences rather than the number of identified proteins (6.4%). Nevertheless, the overall regional separation remained strikingly distinct for the cryo-dissection data and vastly better than for LCM. This discrepancy in data dynamics may result from different times spent by the specimens at room temperature during the laser dissection or a higher susceptibility of small tissue amounts to variability in the subsequent proteomics protocols and mass spectrometry measurements.
To search for differences in the proteome profile of the ECM, a 2D annotation enrichment test between CSD and LCM was performed for the SEZ and MEZ (Figure 3D). Calculating the relative enrichment of GO terms between LCM and CSD samples allows the comparison of relative proteome dynamics of the ECM protein clusters between the two methods despite the unequal amount of tissue and the differences in the dissection protocol. The plots reveal a good correlation between LCM and CSD. The annotations "extracellular region part" and "extracellular membrane-bound organelle" are similarly enriched in both methods and regions. Hence, the increased time demand of LCM does not appear to be compensated by a relatively higher sensitivity for ECM-associated proteins. Instead, CSD provides more robust identification/quantification when comparing the sample data for the neurogenesis and SEZ-associated ECM proteins Tgm2, Thrombospondin-4 (Thbs4), S100a6, and Tenacin-C (Tnc) (Figure 3E). In the case of TnC, although quantified in all samples, only CSD displayed enrichment for SEZ compared to MEZ. Nevertheless, the SEZ-associated basal membrane proteins Nidogen-1 (Nid1), Laminin subunit beta-2 (Lamb2), and basement membrane-specific heparan sulfate proteoglycan core protein (Hspg2)35 displayed an even more robust enrichment in the SEZ (compared to MEZ) in the LCM samples than in the CSD samples (not shown). Hence, CSD can provide tissue samples that provide an accurate and deep quantitative proteome for SEZ characterization in a reasonable timeframe, without worrying about compromised tissue integrity or protein loss.
Estadística
Statistical testing, 2D annotation enrichment tests, and PCA were done in the Perseus environment. Proteins were included in the analysis if a valid value was detected for each method in at least one sample. Protein abundance and number comparisons were visualized using data analysis software (see the Table of Materials). A permutation-based control of the false discovery rate (FDR) (FDR was set to 0.05, 250 randomizations) was employed for protein comparisons. For the 2D-annotation enrichment tests36, the displayed GO terms are significantly enriched (FDR was set to 0.02 using the Benjamini-Hochberg FDR-control method).
Figure 1: The Cryo-Section-Dissection method. (A) Overview of the region of interest: the lateral ventricle with the neurogenic SEZ and the non-neurogenic MEZ. Neuroblasts immunostained with Dcx. (B) Stepwise removal of the OB, the anterior pole, the cortex, and corpus callosum above the ventricles and the choroid plexus: 1. placement in dissection medium, 2. removal of OB, 3. removal of the anterior pole of the cortex, 4. sagittal incisions of the ventricular top, 5. removal of the ventricular top, 6. spreading of the ventricular walls. (C) 100 µm coronal slices of the fresh-frozen mouse brain, (1.) before and (2.) after the removal of the ventricular walls with an ice-cold scalpel. Scale bars = 4 mm (D) Staining of a coronal section of a lateral ventricle (GFAP: green; DAPI: blue), showing the SEZ and MEZ dissected with the CSD. Scale bars = 300 µm (A), 200 µm (D). Abbreviations: CSD = cryo-section dissection; SEZ = subependymal zone; MEZ = medial ependymal zone; Dcx = Doublecortin; OB = olfactory bulb; GFAP = glial fibrillary acidic protein; DAPI = 4′,6-diamidino-2-phenylindole. Please click here to view a larger version of this figure.
Figure 2: Superior dissection-precision with the cryo-section-dissection compared to wholemount dissection. (A) Immunohistochemical image of an SEZ sample obtained by wholemount dissection (left). The inclusion of myelin-rich striatal tissue is visualized by staining against MAG (green). Staining of a SEZ dissected with the CSD (right). In CSD, almost all the striatal myelin (staining against MAG, green) is excluded from the sample ribbon. Nuclei were visualized using DAPI (blue). (B) Comparison of myelin marker enrichment in SEZ vs. Cx from wholemount (MBP: p = 0.0074; MAG: p = 0.0016; Plp1: p = 0.0011; CNP: p = 0.0029) and CSD (MBP: p = 0.0667; MAG: p = 0.0236; Plp1: p = 0.3420; CNP: p = 0.1842). (C) 2D-annotation enrichment test comparing the wholemount-SEZ with the CSD-SEZ samples. The GO terms extracellular space and Matrisome-associated are more enriched in the CSD data than in the wholemount data. (D) The protein abundance of the NSC regulator Tgm225 plotted for the wholemount dissection and the CSD. Tgm2 is significantly enriched in the SEZ compared to the Cx in CSD (CSD: p = 0.0029; Wholemount: p = 0.1775). For B and D: As reference, proteome data from Sharma et al.33 with measurements of striatum and cortex plotted for the corresponding proteins displayed in the wholemount and CSD samples. Scale bars = 200 µm (A). Abbreviations: CSD = cryo-section dissection; SEZ = subependymal zone; MAG = myelin-associated glycoprotein; Cx = somatosensory cortex; MBP = myelin basic protein; Plp1 = proteolipid-protein 1; CNP = 2',3'-cyclic-nucleotide 3'-phosphodiesterase; GO = gene ontology; NSC = neural stem cell; Tgm2 = tranglutaminase 2; DAPI = 4′,6-diamidino-2-phenylindole; LFQ = label-free quantitation. Please click here to view a larger version of this figure.
Figure 3: Improved extracellular protein quantification with cryo-section-dissection compared to LCM. (A) Cresyl violet staining of a lateral ventricle before and after laser capture of the SEZ and MEZ (left). For comparison, the CSD incision of the SEZ and MEZ (right). Scale bars = 150 µm. (B) Comparison of the number of detected proteins in the SEZ and MEZ samples from CSD and LCM. Data are presented as mean ± SD. (C) Principal component analysis of the SEZ and MEZ samples comparing CSD and LCM (component 2: 8.5% of the variance; component 3: 6.4%). (D) 2D annotation enrichment of the cryo-section- and laser-dissected MEZ (Top) and SEZ (Bottom). The GO terms extracellular organelle and extracellular region part are significantly enriched (red dots). (E) Abundances of extracellular SEZ-associated marker proteins in SEZ and MEZ for LCM (Tnc: p = 0.3789) and the CSD samples (Tgm2: p = 0.2940; S100a6: p = 0.0218; THBS4: p = 0.3941; Tnc: p = 0.0004). Abbreviations: CSD = cryo-section dissection; LCM = laser-capture-microdissection; SEZ = subependymal zone; MEZ = medial ependymal zone; GO = gene ontology; Tnc = Tenacin-C; Tgm2 = transglutaminase 2; S100a6 = S100 calcium-binding protein A6; THBS4 = thrombospondin-4; LFQ = label-free quantitation. Please click here to view a larger version of this figure.
The CSD method made it possible to precisely extract SEZ tissue and generate a reliable proteome with significant depth using MS. CSD displays a clear advantage compared to wholemount dissection in terms of greatly reduced striatal contamination of SEZ samples and extracellular protein enrichment. As it is also possible to detect a similar number of proteins in individual samples (~6,500 proteins per sample) with CSD and wholemount dissection, the additional time for CSD is well worth the effort. LCM provides more precise SEZ dissection but reached a lower proteome depth, with only 3,500 proteins per sample despite using the same MS protocol as CSD (library matching and label-free quantification). Importantly, variability was much greater, probably due to the eightfold longer preparation time per sample. PCA of the samples obtained by LCM and CSD reveals a clear separation of both methods with tight region-specific clusters robustly separated from each other. In contrast, the LCM samples displayed a more scattered distribution, which is probably in part due to the length of preparation. It is unclear whether collecting far more samples over a longer period would have yielded a proteome of equal robustness and depth with LCM. Calculating an estimate, collecting a similar sample volume as done for CSD would take 5-8 times longer with LCM, even up to 15 times longer if samples provided for the peptide spectra libraries were included, and much of it under thawed conditions. Furthermore, considering the additional perturbations of the tissue necessary for LCM (background staining, laser dissection), LCM provided little, if any, gain over CSD. Hence, CSD can be deemed more suitable for extracellular proteome research, specifically for the SEZ.
Notably, if the region of interest is smaller than the SEZ (e.g., investigating only the ependymal cell layer), a free-hand approach falls behind the accuracy of the LCM. For example, using CSD to separate the ependymal from the subependymal layer is difficult as the ependymal layer is only a cell diameter wide, and the demarcation towards the subependymal layer is not visible for the naked eye in fresh frozen tissue. Hence, LCM will be a better choice than CSD if a precise dissection on a scale below 50 µm is more important than undisturbed tissue or keeping the dissection time short. For regions with a width of 50 µm and more, however, the precision of CSD is comparable to that of LCM for ECM protein analysis.
CSD has already proven to be useful by contributing to the investigation of the functional role of the ECM in the neurogenic niche25. Hence, the continued application of CSD in the SEZ for various protein and proteome investigations (or even single-nucleus RNA sequencing) might lead to the detection of further neurogenesis regulators, stem cell activation markers, and a deeper understanding of SEZ stem cell niche physiology. Considering the decline of neurogenesis in the aging SEZ37, a concise analysis of ECM changes of the SEZ of aged vs. young mice might promote the understanding of the exact niche mechanisms fostering NSC development and maintenance38,39. Furthermore, the influence of inflammation and injury on SEZ neurogenesis is well established40,41,42,43. The enrichment of blood-derived fibrinogen in the SEZ after cortical brain injury and its influence on SEZ astrogliogenesis and scar formation44 highlights the potential influence of trauma-induced microenvironment changes on the SEZ stem cell physiology. Hence, investigating the SEZ-ECM proteome in association with brain injury using CSD could help elucidate the mechanisms by which injury and inflammation affect neurogenesis. Importantly, the method could also be applicable to human brain neurogenic niches in health and disease as fresh frozen tissue can often be obtained from surgeries. Furthermore, given the species differences in adult neurogenesis, it would also be fascinating to apply the CSD method to other species, e.g., in association to striatal neurogenesis. Moreover, with other protein detection methods, differences in locally produced growth factors can be investigated accurately and efficiently using CSD for the SEZ and MEZ (e.g., ELISA).
Lastly, the dissection procedure could potentially be modified for accurate extraction of other brain regions, also for research questions not related to neurogenesis. For instance, CSD includes a brief semi-thawing step, during which compact myelin is visible as white areas distinct from the more translucent residual brain tissue. With a simple modification of the method, this feature would allow the precise dissection of only corpus callosum compact myelin tissue, which could be subjected to proteomic analysis of injury-related changes. A suggestion of a protocol modification that would allow the corpus callous dissection is to omit steps 1.5-1.9 of the protocol and proceed directly to preparing the coronal sections instead of opening the ventricles to make the SEZ and MEZ accessible. Then, place the sections on dry ice, briefly lift and semi-thaw the slices, and simply remove the corpus callosum with a scalpel. This preparation should now be ready for any analysis requiring an efficient dissection of native corpus callosum tissue.
In summary, this study presents a micro-dissection method that could be used for reliable ventricular neurogenic niche proteome analysis. The data underline the compatibility and utility of the CSD method together with MS-based proteomic analysis of the SEZ microenvironment. The combination of precision, efficiency, and minimal tissue perturbation render the CSD a valuable extension of existing methods.
The authors have nothing to disclose.
We wish to sincerely thank Mathias Mann for allowing us to perform large parts of the experiments in his laboratory, Fabian Coscia for help with LCM and proteome analysis, Tatiana Simon-Ebert for wholemount dissections, and Korbinian Mayr and Igor Paron for their technical help. We gratefully acknowledge funding from the German Research Council to MG (SFB870, TFR274), the EU (Eranet S-700982-5008-001), the ERC (aERC "NeuroCentro" to MG), the Swedish Society for Medical Research (SSMF, to JK) postdoctoral grant, and KI foundations and Funds (2020-01351, to JK).
Cryostat CM3050S | Leica | ||
Dissecting microscope | Leica | ||
Dumont no. 5SF forceps, Inox super fine tip | Fine Science Tools | cat. no. 11252-00 | |
Hank’s Balanced Salt Solution with CaCl2 and MgCl2 | Invitrogen | cat. no. 24020 | |
HEPES buffer solution (1 M) | Invitrogen | cat. no. 15630 | |
Microscope slides | RS France | cat. no. BPB018 | |
Safe-lock tubes, PCR clean 2.0 mL | Eppendorf | cat. no. 0030123344 | |
Spring scissors, Vannas-Tubingen 5 mm | Fine Science Tools | cat. no. 15003-08 | |
Surgical disposable scalpels | B. Braun | cat. no. 5518083 | |
Tissue culture dishes 60 mm | Greiner Bio-One | cat. no. 633180 | |
Antibodies | |||
Alexa Fluor secondary antibodies (488, 555) (1/1,000) | ThermoFisher Scientific | cat. no. A-11001 | |
DAPI | Sigma | cat. no. D9542 | |
guinea pig polyclonal anti-DCX 1:500 | Millipore | cat. no. AB2253, | |
mouse monoclonal anti-GFAP 1:500 | Sigma | cat. no. G3893 | |
mouse monoclonal anti-MAG 1:400 | Millipore | cat. no. MAB1567 | |
Software | |||
GraphPad Prism version 9 | GraphPad Software, San Diego California USA | www.graphpad.com | |
Perseus Version 1.6.10.50 | Max-Planck Institute for Biochemistry, Munich Bavaria Germany | https://maxquant.net/perseus/ | |
ZEN imaging software | Carl Zeiss |