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.
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 |