This protocol describes a microfluidic system modeling neuronal metabolic dynamics post-axonal injury, enabling imaging, multi-omics analysis, and mechanistic studies of intrinsic metabolic remodeling.
Method Article
This protocol describes a microfluidic system modeling neuronal metabolic dynamics post-axonal injury, enabling imaging, multi-omics analysis, and mechanistic studies of intrinsic metabolic remodeling.
Neurons polarize to form dendrites and axons, enabling intercellular communication. Axonal injury disrupts these connections and transmits damage signals to the soma, often leading to neuronal degeneration. Thus, maintaining axonal homeostasis is essential for promoting local axon regeneration and protecting against neurodegeneration. This process relies on cellular metabolism to supply energy and biosynthetic precursors and is sustained by mechanisms that regulate metabolic balance and eliminate by-products. However, neuronal metabolism is compartmentalized between the soma and axon and is further influenced in vivo by the surrounding microenvironment, such as astrocyte-derived metabolic activity (e.g., the astrocyte-neuron lactate shuttle). These factors complicate the investigation of neurons' intrinsic metabolic mechanisms. To address these challenges, here we developed a microfluidic platform for culturing primary cortical neurons in vitro that preserves key metabolic characteristics observed in vivo, including physiological glycolytic flux and mitochondrial respiration. This system provides a simplified model for investigating intrinsic metabolic remodeling in neurons after axonal injury. Conventional microfluidic chips support in vitro axonal injury models and are compatible with live-cell imaging, immunofluorescence staining, and hypoxia treatment. To accommodate large-scale transcriptomic and metabolomic analyses involving millions of cells, we further designed and fabricated high-throughput microfluidic chips with optimized operational protocols. The device features alternately arranged soma and axon chambers connected by microchannels, and axonal injury is induced by vacuum aspiration of fluid from the axon compartment. This platform enables rapid assessment of metabolite and enzyme dynamics, improving the accuracy and reproducibility of multi-omics investigations.
Neurons establish two distinct types of protrusions with specialized functions, axons and dendrites, via polarization during development1,2. Nerve regeneration refers to the process of axonal regrowth after neural injury3, with a research focus on central nervous system (CNS) repair. Unlike the peripheral nervous system, the CNS has limited regenerative capacity4,5,6, often resulting in persistent functional impairments or permanent disabilities in patients with spinal cord injuries or traumatic brain injuries7,8. Thus, developing strategies to enhance CNS repair and elucidating the mechanisms underlying axonal regeneration are crucial.
Microfluidic devices, functioning as integrated, cost-effective, and high-throughput in vitro culture systems, exhibited remarkable advantages in cell and neuron research in recent years9,10. Compared with traditional methods, microfluidic technology enables precise regulation of fluid shear stress, concentration gradients, and spatial structures, thereby closely simulating authentic physiological and pathological microenvironments to promote cell growth, migration, differentiation, and interactions11,12,13,14. Microfluidics-based in vitro axonal injury models enable compartmentalized culture of neuronal cell bodies and processes through spatial polarization, providing an indispensable tool for exploring the intrinsic regenerative capacity of neurons and their metabolic adaptations following injury15,16,17,18. It provides a critical window into how neurons respond to injury, regulate metabolic processes19, and promote axonal regeneration20. However, existing microfluidic platforms for axonal injury and metabolic research still face challenges, including low neuronal cell yields, reduced accuracy in metabolic measurements, and a lack of standardized operational procedures.
In response to these limitations, this study developed a novel large-scale microfluidic platform that enables standardized, high-throughput induction of axonal injury and provides sufficient cell material for compartmentalized multi-omics analyses. This integrated design directly confronts the critical unmet need in neural injury research. Specifically, the microfluidic chip we designed features an alternating arrangement of somal and axonal chambers connected by microgrooves, with axonal transection achieved through controlled vacuum aspiration. This approach is ideal for studies that require reproducible, high-throughput axonal injury models and precise metabolic profiling, such as investigating the metabolic mechanisms underlying axonal regeneration. Compared to traditional methods, this technique offers higher throughput, greater metabolic precision, and the capability to establish standardized injury models. For example, previous studies have demonstrated the importance of mitochondrial transport in axonal regeneration20,21,22,23, whereas our platform further reveals the role of glucose metabolism in axonal regeneration following injury. This protocol establishes a technical system for large-scale axotomy and metabolic analysis that is both visually verifiable and operationally standardized.
All experiments were conducted in accordance with the guidelines of the Ethics Committee of Beihang University and were approved by the committee (approval code: BM20210060). Figure 1 outlines the experimental timeline.
1. Design of the conventional and large-scale microfluidic device
2. Fabrication of conventional and large-scale microfluidic devices
3. Preparation of cortical neurons
4. Coating
NOTE: Treat the coverslips or culture dishes with poly-D-lysine (PDL) solution to improve neuron adhesion and create an optimal environment for neuronal growth.
5. Preparation of neuronal medium
6. Cell counting
7. In vitro culture of cortical neurons in conventional or large-scale microfluidic devices
8. Establishing an in vitro axonal injury model in conventional microfluidic devices
9. Large-scale microfluidic device axonal injury
10. Hypoxic treatment of conventional or large-scale microfluidic devices
11. Sample preparation of neurons cultured in vitro using large-scale microfluidic devices for omics analysis
12. Neuronal immunofluorescence staining based on conventional and large-scale microfluidic devices
NOTE: When culturing neurons in vitro using microfluidic devices, one must consider the potential damage to neuronal axons within microchannels that may occur during the disassembly of these devices for live cell fixation.
13. Live cell imaging in conventional microfluidic devices
14. Data analysis
To establish a comprehensive research platform for studying the metabolic regulation mechanisms in cortical neurons, we first cultured cortical neurons in a conventional microfluidic device, precisely controlling axon growth along microchannels (Figure 2A). With an appropriate design, the microchannels were constructed with a low height (5 µm) and a larger width (10 µm), allowing each channel to host more axons without allowing cell bodies to enter. Immunofluorescence staining for βIII-tubulin confirmed axonal growth through the microchannels into the axonal terminal chamber (Figure 2B). To further determine whether axonal injury affects neuronal survival, we quantitatively analyzed neuronal density before and after axonal injury. The results showed that there was no significant difference in neuronal density following axonal injury, indicating that axonal injury did not lead to notable neuronal death (Figure 2C). To meet the sample size requirements for multi-omics analysis (typically around 3 × 106 cells per sample), we developed a large-scale microfluidic device with an expandable layout and three-dimensional structure, ensuring accurate experimental data (Figure 3A-C). Both the unpunched and perforated versions of the PDMS replica molds adhere well to PC boards or 10 cm culture dishes (Figure 3D,E).
To verify axonal injury in the large-scale microfluidic device, two injury methods were used. For conventional axotomy (Figure 4A,B), axons were injured using a vacuum pump. For scratch injury (Figure 4C,D), the microfluidic mold was removed at DIV3, and axons were manually scratched with a pipette tip at DIV7. βIII-tubulin immunofluorescence staining was used to visualize axonal morphology before and after injury. Prior to injury, intact axons were observed in the axonal terminal chamber (Figure 4A,C). Immediately after injury, severed axonal stumps with disrupted morphology appeared (Figure 4B,D), confirming successful axonal injury and enabling subsequent analysis of regeneration. Microscopic observations before and after manual scratch assays showed that the axons of uninjured neurons remained intact, while axon regeneration to varying extents was observed at 6 h and 24 h after injury (Figure 5). Due to the small scale of conventional culture specifications (approximately 1 × 105 per chip), protein concentration is difficult to detect; whereas in large-scale microfluidic neuron cultures (approximately 3 million per chip), the protein concentration is higher, making protein analysis more feasible and accurate. Figure 6 shows that the concentrations of neuronal proteins in the control group, 6 h and 24 h after axonal injury are 1420.4230, 1748.9397, and 1823.7007 µg/mL, respectively.
To elucidate the molecular mechanisms of axonal injury responses, we used a large microfluidic device for neuron culture with 3 million cells per chip. After 5 days (DIV5) of culture, axonal injury was induced, and cells were lysed to extract total RNA 6 h post-injury. Upon testing, the total RNA quantities in the control and experimental groups were 5.28 µg and 5.27 µg, respectively, meeting the quality requirements for RNA-sequencing (RNA-seq) (Figure 7A). Subsequently, RNA-seq analysis identified 595 injury-specific genes and 609 uninjured neuron-specific genes (Figure 7B). KEGG analysis further indicated significant upregulation of the TCA cycle, mitophagy, reactive oxygen species, oxidative phosphorylation, and cholesterol metabolism post-axonal injury (Figure 7C). These results suggest that young neurons actively regulate energy metabolism and the intracellular environment to cope with injury-induced stress. Further metabolic flux analysis showed that after [U-13C6]glucose labeling, the levels of TCA cycle intermediates citrate and fumarate significantly increased, consistent with the activation trend of the TCA cycle pathway in the transcriptome, supporting the hypothesis of neuronal energy metabolism reprogramming following axonal injury (Figure 8).
In summary, these results demonstrate the utility of our microfluidic device in researching cortical neuron culture, injury, and regeneration, providing a reproducible platform for multi-omics analysis.

Figure 1: Workflow diagram of the experimental procedure. First, fabricate microfluidic devices using PDMS. Next, culture primary neurons in vitro and seed them into the microfluidic devices. Place the devices in a CO2 incubator for further culturing. After the desired number of days, induce axonal injury using a vacuum pump or apply hypoxic treatment in a hypoxic chamber. Imaging or sample preparation is performed at designated time points following these treatments. Please click here to view a larger version of this figure.

Figure 2: Culturing cortical neurons using conventional microfluidic devices. (A) Standard microfluidic device mounted in a 35 mm dish during neuronal culture. Scale bar: 1 mm. (B) Immunofluorescence staining of cortical neurons cultured in a conventional-sized microfluidic device for 7 days. The axons are marked in green using βIII-tubulin (green). Scale bar: 50 µm. (C) Representative images (left) and corresponding quantitative analysis (right) of somatic side cortical neurons (DIV7) in microfluidic devices are shown for both uninjured and 24 h post-axonal injury conditions. The data present the number of surviving neurons per unit area, normalized by the control group. Scale bars: 20 µm. DAPI (blue), MAP2 (green). Data were presented as mean ± SEM. N = 3; n(-)Ax = 30, n(+)Ax = 33. p-values were calculated using a Two-tailed unpaired Student's t-test. Significance: ns, not significant. Please click here to view a larger version of this figure.

Figure 3: Design drawings of large-scale microfluidic devices. (A) The AutoCAD layout of the ultra-large-scale microfluidic chip, with dimensions in millimeters. (B) Schematic diagram of the three-dimensional overall structure of the ultra-large-scale microfluidic chip. (C) Top view of the ultra-large-scale microfluidic chip, with an enlarged view showing the microchannels. (D) Image of a large-scale microfluidic chip device, molded and cured from a PDMS replica of a silicon wafer master, connected to a PC board (without holes). Scale bar: 5 mm. (E) Image of the large-scale microfluidic chip device (with cell and axon chambers, with holes) connected to a 10 cm dish. Scale bar: 10 mm. (F) Schematic of the humidity chamber. 20 mL of ultrapure water are added to a 150-mm dish to create a humidified environment. A 10-cm cell culture dish containing the PDMS device and neuronal cultures is then placed inside the larger dish. Please click here to view a larger version of this figure.

Figure 4: Immunofluorescence images of cortical neurons (DIV7) cultured in large-scale microfluidic devices. (A) Neurons in the ultra-large-scale microfluidic chip labeled with βIII-tubulin (green) at DIV7, with an enlarged view showing axons growing in the microchannels and axon terminal chambers. Scale bars: 2000 µm (left), 500 µm (right). (B) Neurons in the ultra-large-scale microfluidic chip underwent axotomy at DIV7, and were labeled with βIII-tubulin (green). Enlarged view shows axonal stumps post-axotomy in the microchannels, suctioned by vacuum. Scale bars: 2000 µm (left), 100 µm (right). (C) Immunofluorescence images of neurons seeded in complete microchannels within large-scale microfluidic devices (Left: panorama, scale bar: 2000 µm; Right: enlarged view, scale bar: 100 µm). (D) Immunofluorescence images following manual scratch injury under a microscope (Left: injury panorama, scale bar: 2000 µm; Right: enlarged view of injury area, scale bar: 100 µm). Please click here to view a larger version of this figure.

Figure 5: Microscopic images of cortical neurons (DIV15) cultured in large-scale microfluidic devices. (A) Uninjured group; (B) 6 h post-axonal injury; (C) 24 h post-axonal injury. Scale bar: 100 µm. Please click here to view a larger version of this figure.

Figure 6: Protein concentration in injured neurons (DIV21) within large-scale microfluidic devices. (A) Standard curve for determining protein concentration using the Bicinchoninic Acid (BCA) method. A standard curve was established using 0-2000 µg/mL BSA standards (562 nm detection). The linear regression equation is: y = 0.0004637x + 0.002350 (R2 = 0.9916). (B) Quantitative analysis of total neuronal protein yield collected from the large-scale microfluidic device in the control group and at 6 and 24 h after axonal injury. Data were presented as mean ± SEM. N = 3. Please click here to view a larger version of this figure.

Figure 7: RNA-seq analysis of cortical neurons (DIV5) after axonal injury in large-scale microfluidic devices. (A) Total RNA extracted 6 h after axonal injury in cortical neurons cultured within large-scale microfluidic devices. Data were presented as mean ± SEM. N = 3. (B) The Venn diagram of gene expression levels before and 6 h after axonal injury shows that 595 genes are specific to post-injury, while 609 genes are specific to the uninjured group. (C) KEGG pathway enrichment analysis on the upregulated genes in the axonal injury group (DIV5_Ax). Please click here to view a larger version of this figure.

Figure 8: Metabolic flux analysis of injured neurons cultured in large-scale microfluidics traced with [U-13C6]-glucose. Cortical neurons were cultured in a large-scale microfluidic device, with both uninjured and injured groups (20 h post-injury) being continuously cultured for 4 h in medium containing [U-13C6]-glucose, followed by liquid chromatography-mass spectrometry (LC-MS) detection of isotopic distribution of citrate (A) and succinate (B) in neurons (DIV5). All data were presented as mean ± SEM. N = 6, n[(-)Ax] = 7, n[(+)Ax24h] = 6; p-values were calculated using two-way ANOVA. Significance: ***p < 0.001. Please click here to view a larger version of this figure.
The establishment of advanced in vitro models for studying axonal injury and regeneration is essential for uncovering the molecular and metabolic mechanisms involved in neuronal repair16,19. In this study, we present a standardized workflow that integrates microfluidic devices, large-scale neuronal cultures, and precise axonal injury protocols, enabling robust multi-omics analysis of injured cortical neurons.
The success of this approach relies heavily on several critical procedural steps. In microfluidic chip preparation, precise control of the PDMS curing time (100-120 min at 80 °C) and sterilization duration (5-10 min) is crucial to prevent chip over-hardening and subsequent issues with slippage or leakage25. In addition, accurate parameter settings for the vacuum pump during axotomy are essential: excessive suction can damage neuronal somas, while insufficient suction may result in incomplete axon severance. Notably, both the conventional and large-scale devices were manufactured using the same protocol. The main differences are in the design of the molds and the punching positions and diameters after curing. For the conventional microfluidic device, the diameter of the holes is 5 mm, while for the large-scale microfluidic device, the hole diameter is 3 mm. Another crucial operational detail is ensuring the right channel is free of any complete medium components (such as B27 or serum) before axotomy, as these substances easily generate bubbles during suction, interfering with axon severance.
We developed two methods for inducing axonal injury in neurons cultured within large-scale microfluidic devices. One method involves manual scratching under a microscope26. Using this approach, the device must be removed 48 h to 72 h after seeding to avoid neurites damaging that have not yet extended into the channels. This step enables more accurate analysis of metabolic changes, including the effects of residual axons on metabolism. However, manual operation may result in unintended injury to neuronal cell bodies. In the future, this could potentially be addressed by employing computer-guided axon injury using laser ablation or controlled mechanical force. The second method utilizes the vacuum pump20, which reduces human error and increases reproducibility through a standardized process. Importantly, this axonal injury method of a large-scale microfluidic device allows for the collection of substantially greater quantities of axonal material, thereby greatly facilitating omics analyses that demand large amounts of axons. Nevertheless, a major limitation is that the severed axons cannot be effectively retained in the terminal chamber. Operational failures are mainly related to bubble formation within the channels, which must be resolved by removing these bubbles with a high-suction vacuum pump before adding the culture medium.
Our protocol still has limitations. Although manual injury methods are highly suitable for high-throughput data acquisition on entire neurons, including damaged axons and dendrites, this technique, however, demands exceptional precision, and the entire injury process must be completed within 10 min to avoid unfavorable cell stress.
Compared with traditional axotomy models, the standardized workflow described here dramatically improves reproducibility, scalability, and compatibility with multi-omics platforms, ensuring sufficient detection of low abundance RNA, protein, and metabolites. This technical platform also provides a promising foundation for high-throughput screening of neuroregenerative compounds, systematic exploration of axonal metabolic regulation, and dissecting the local translation mechanisms after injury27,28. By further enhancing the accessibility and compatibility of the equipment, this technology is expected to gain wider application in basic neuroscience research and therapeutic development.
The authors have nothing to disclose.
This work was supported by the Beijing Natural Science Foundation (Grant Nos. L222080, F251031, Z240011, 7192103) and the National Natural Science Foundation of China (Grant Nos. 82271513)
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| Neurobasal-A Medium | Gibco | 10888022 | Culture medium |
| Alexa Fluor 488 goat anti-mouse | Invitrogen | A-21042 | Immunofluorescence |
| Analytical balance | Shanghai Shunyu Hengping Scientific Instrument Co., Ltd. | FA1004 | Precise weighing of reagents/samples |
| B27 (50x) | Gibco | 17504044 | Culture medium |
| BCA protein assay | Boster | AR1189 | Protein concentrations |
| Bioanalyzer | Agilent | https://www.agilent.com/en/product/automated-electrophoresis/bioanalyzer-systems/bioanalyzer-instrument | |
| Bovine serum albumin | Genview | FA016 | Immunofluorescence |
| Centrifugal stirrer mixer | THINK | ARE-310 | Mix PDMS and degasification |
| CLARIOstarPlus-ACU analyzer | BMG LABTECH | CLARIOstar Plus | protein concentrations |
| CO2 incubator | Thermo Fisher Scientific (Asheville) LLC | 3111 | Cell culture incubation at 37 °C, 5% CO? |
| Corrosion-resistant Diaphragm Vacuum Pump | Shanghai Lichen Bangxi Instrument Technology Co., Ltd. | LC-85DLC | Aspirate waste liquid and provide suction for axotomy |
| D-GLUCOSE (U-13C6, 99%) | Cambridge Isotope Laboratories | CLM-1396 | Metabolic flux |
| DNase I | Roche | 11284932001 | Neuronal culture |
| Dr.TOM2 platform | BGI Genomics | Perform and analyze RNA-seq | |
| Electric hot-air drying oven | BIOM Huahong Bonn / Huaying Bosi | DHG-9070A | Curing PDMS |
| Electronic Balance | Shanghai Huachao Industrial Co., Ltd. | HC313 | Routine weighing of materials |
| Fluoromount Aqueous Mounting Medium | Sigma-Aldrich | F4680 | Immunofluorescence |
| GlutaMAX | Gibco | 35050061 | Culture medium |
| Glycine | Solarbio | G8200 | Immunofluorescence |
| HBSS | Gibco | 14025092 | Neuronal culture |
| HBSS, no calcium, no magnesium | Gibco | 14175095 | Neuronal culture |
| High-pressure steam sterilizer | STIK Instrument (Shanghai) Co., Ltd. | HMJ-54A | Sterilization of lab equipment and media |
| Hypoxic chamber | STEMCELL Technologies | 27310 | Hypoxic treatment |
| ImageJ | NIH | Used to analyze microscopy images | |
| Leica Microscope | Leica Microsystems CMS GmbH | DMIL LED Fluo | Live and fluorescence observation |
| Live cell imaging solution | Invitrogen | A14291DJ | Live cell imaging |
| Medical low-temperature storage box (-80 °C) | Qingdao Haier Biomedical Co., Ltd. | DW-86L388J | Long-term sample storage at -80 °C |
| Mini desktop vacuum pump | Haimen Qilin-Bell Instrument Manufacturing Co., Ltd. | GL-805 | Small-scale vacuum applications |
| MitoTracker Orange CMTMRos | Invitrogen | M7510 | Mitochondrial membrane potential staining |
| MRMPROBS program | Version 2.60 | To extract raw mass spectrometry data | |
| Neurobasal Medium | Gibco | 21103049 | Culture medium |
| Neurobasal-A without glucose | Gibco | A2477501 | Culture medium |
| Papain | Worthington | LS003127 | Neuronal culture |
| Paraformaldehyde | Sigma-Aldrich | P6148 | Cell fixation |
| PDMS | Dow Corning | DC184 | Device fabrication |
| PDS Kit Inhibitor Vial | Worthington | LK003182 | Neuronal culture |
| Penicillin Streptomycin | Gibco | 15140122 | Culture medium |
| Phosphate Buffered Saline | Biosharp | BL302A | Dilute the substances and clean the cell containers |
| Plasma cleaner | Harrick Plasma | ODC-32G-2 | Activation |
| Poly-D-lysine | Sigma-Aldrich | P6407 | Neuronal culture |
| Prism | GraphPad | Version 8.4.3 | Statistical analyses |
| Refrigerated centrifuge | Eppendorf AG (Germany) | 5430R | Sample separation at controlled temperatures |
| RNArep Pure Cell/Bacterial Total RNA Extraction Kit | Tiangen | dp430 | Transcriptomics |
| Rotameter | Dwyer | RMA-23-SSV | Control the low oxygen flow |
| Stereo microscope | Olympus Corporation | SZ2-ILST | Sample observation and dissection |
| Stuart Orbital Shaker | Kylin-Bell | TS-200 | Mixing cell cultures/solutions at adjustable speeds |
| Triton X-100 | Sigma-Aldrich | X100 | Immunofluorescence |
| ULVAC Rotary Vane Vacuum Pump | ULVAC (Ningbo) Co., Ltd. | GLD-N202 | Creating vacuum for filtration/drying |
| βIII-tubulin | Promega | G7121 | Immunofluorescence |