Literature DB >> 34401781

Preparation of single cell suspensions enriched in mouse brain vascular cells for single-cell RNA sequencing.

Akari Yamazaki1, Francis Shue1,2, Yu Yamazaki1, Yuka A Martens1, Guojun Bu1, Chia-Chen Liu1.   

Abstract

Cerebral blood vessels supply oxygen and nutrients, remove metabolic waste, and play a critical role in maintaining brain homeostasis. Cerebrovasculature is composed of heterogeneous populations of brain vascular cells (BVCs). A major challenge in effective cerebrovascular transcriptional profiling is high-quality BVC procurement, permitting high sequencing depth. Here, we establish cell isolation procedures for glio-vascular cell-enriched single-cell RNA sequencing enabling unbiased characterization of BVC transcriptional heterogeneity. Our approach can be used to address vascular-specific contribution to brain diseases. For complete details on the use and execution of this protocol, please refer to Yamazaki et al. (2021).
© 2021.

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Keywords:  Cell isolation; Neuroscience; RNAseq; Single Cell

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Year:  2021        PMID: 34401781      PMCID: PMC8353357          DOI: 10.1016/j.xpro.2021.100715

Source DB:  PubMed          Journal:  STAR Protoc        ISSN: 2666-1667


Before you begin

This vascular enriched single cell suspension protocol is adapted from a previous protocol with modifications (Vanlandewijck et al., 2018). This procedure has been established and optimized for isolation of glio-vascular cells (i.e., endothelial cells, smooth muscle cells, pericytes, and astrocytes) from cortical tissues of adult mice (6–12 months old). The enzymatic tissue digestion followed by the depletion of CD11b-positive cells, and myelin and dead cell removals allow greater representation of vascular cell populations in single-cell RNA sequencing (scRNA-Seq) with reduced number of other brain cell types including microglia, neurons, and oligodendrocytes. Adaptation of this protocol for aged-animals (more than 12 months old) has not been fully tested, and thus critical steps such as beads-mediated myelin removal may need to be modified.

Preparation on the day before the experiment

Timing: 30 min Reagent preparation MACS buffer: Add BSA to (calcium/magnesium free) DPBS to the final concentration of 0.5%. Cell suspension solution: Dilute MACS buffer (0.5% BSA) with (calcium/magnesium free) DPBS to the final concentration of 0.04% of BSA. We recommend preparing MACS buffer and cell suspension solution at least one day before use. You can store premade MACS buffer and cell suspension solution at 4°C for short term. Buffers must be vacuum filtered through 0.22 μm filters in a biosafety cabinet to remove potential contamination. Work under sterile conditions. We recommend using buffers within 1 week to minimize the risk of contamination. Aliquot of reagents (see table below) Prepare and aliquot reagents under sterile conditions. We recommend using only sterile filter pipette tips when pipetting is involved. Storage conditions and shelf life are as indicated per manufacturer instructions.

Preparation on the day of the experiment

Timing: 60 min Make sure that centrifuges and lab ovens have reached the required temperature before starting the procedure. Centrifuges to 4°C (Eppendorf; Cat# 5810R and 5425). Laboratory oven to 37°C (Thomas Scientific; Cat# 1197F66). Steps 1–3 can be done the day prior or the day of the experiment Prepare Enzyme mix 1 and Enzyme mix 2 according to the table below: enzymes are provided in the Neural Tissue Dissociation kit (P) (Miltenyi Biotec; Cat# 130-092-628). Enzyme mix 1 (per 1 brain) Enzyme mix 2 (per 1 brain) CRITICAL: Enzyme mix 1 and mix 2 should be made within 20 min of use. The mouse cortical tissue weight is typically less than 600 mg. The allotted volume for the neural dissociation kit given above is optimized for 600 mg or less of starting tissue. However, if working with samples greater than 600 mg, linearly scale up reagent and total volume accordingly.

Key resources table

Primers for real-time PCR [1] Itoh et al., 2016; [2-5] In house; [6] Huang et al., 2018; [7] Marchant et al., 2015; [8] Huang et al., 2018; [9] Holguin et al., 2007. Real-time PCR was conducted using a SYBR green mix with a QuantStudio Cycler. During the PCR stage, after the initial denaturation step at 95°C for 2 min, samples were held for 15 s at 95°C then decreased and held at 60°C for 1 min for 40 cycles. The final melt curve stage occurred immediately after the PCR stage where samples were held for 15 s at 95°C, decreased to 60°C for 1 min, and increased to 95°C for the final 15 s at a rate of 0.05°C/s. All intermediate temperature changes occurred at a rate of 1.6°C/s.

Step-by-step method details

Figure 1 depicts the complete workflow for the procedure.
Figure 1

Workflow of single cell isolation from mouse brain tissue for glio-vascular cell enriched single-cell RNA sequencing

Graphical summary of the main steps to obtain a live single cell suspension of enriched mouse brain vascular cells.

It is not recommended to handle more than 2 samples per person in each experiment to ensure high cell viability. This minimizes the processing time per sample in each step. Workflow of single cell isolation from mouse brain tissue for glio-vascular cell enriched single-cell RNA sequencing Graphical summary of the main steps to obtain a live single cell suspension of enriched mouse brain vascular cells.

Mouse brain preparation

Timing: 30 min Anesthetize a mouse (6–12 months old, male or female) with isoflurane and conduct a trans-cardial perfusion using ice-cold DPBS. 25 mL of PBS would be used during the perfusion at a flow of 10–15 mL/min. Collect and store brain tissue in ice-cold HBSS.

Cell dissociation and myelin removal

Timing: 150 min Prepare enzyme mix 1 (see before you begin). Warm enzyme mix 1 at 37°C for 10 min in a laboratory oven. Dissect out cortical tissue on a 100 mm petri dish (Figures 2A–2D).
Figure 2

Brain tissue dissection, cell dissociation, and MACS separator setup

(A–D) Step-by-step dissection of cortical brain tissue. Scale bar, 1 cm. (A) Whole mouse brain. (B) Remove the cerebellum from the cerebrum. (C) Halve the cerebrum along the longitudinal fissure and dissect out the subcortex, hippocampus, and midbrain. (D) The final dissected cortex is used for downstream neural cell dissociation and isolation of vascular enriched cells.

(E–G) Brain tissue dissociation and generation of homogeneous cell suspension. (E) Consistency of the initial brain mince using surgical scissors in enzyme mix 1. Brain chunks should be small enough to pass through a Pasteur pipet. (F) Brain suspension with the addition of enzyme mix 2. The cortex is further dissociated after passing through a Pasteur pipet. At this stage the suspension should be turning cloudy. (G) Cell suspension after passing through a 20 G and 23 G needle. There are no visible chunks, and the suspension should be murky with a smooth consistency.

(H) Quadro MACS Separator set up.

Brain tissue dissection, cell dissociation, and MACS separator setup (A–D) Step-by-step dissection of cortical brain tissue. Scale bar, 1 cm. (A) Whole mouse brain. (B) Remove the cerebellum from the cerebrum. (C) Halve the cerebrum along the longitudinal fissure and dissect out the subcortex, hippocampus, and midbrain. (D) The final dissected cortex is used for downstream neural cell dissociation and isolation of vascular enriched cells. (E–G) Brain tissue dissociation and generation of homogeneous cell suspension. (E) Consistency of the initial brain mince using surgical scissors in enzyme mix 1. Brain chunks should be small enough to pass through a Pasteur pipet. (F) Brain suspension with the addition of enzyme mix 2. The cortex is further dissociated after passing through a Pasteur pipet. At this stage the suspension should be turning cloudy. (G) Cell suspension after passing through a 20 G and 23 G needle. There are no visible chunks, and the suspension should be murky with a smooth consistency. (H) Quadro MACS Separator set up. We recommend placing the dissected cortex on a Kimwipe soaked in PBS to prevent slippage during the dissection process. The process of dabbing the surfaces of brain cortical tissue with a Kimwipe helps in the removal of meninges that contain superficial vessels, meningeal, and fibroblast-like cells. This technique reduces potential sources of contamination during glio-vascular cell profiling. Keep dissected brains fully submerged in cold HBSS as enzyme mix 1 is heating up. Add 2925 μL of enzyme mix 1 into an empty 5 mL snap cap Eppendorf tube (per sample). A 5 mL tube is recommended for this step as it is easier for dissection scissors to reach to the bottom to mince the samples. Alternatively, the slicing process can be performed in petri dish with a blade or dissection scissor if the users find it easier to do so. The critical point is to mince the brain tissues efficiently to reduce the time between mincing and incubation. Move brain cortices into the 5 mL tube with enzyme mix 1. Remove excess HBSS when moving dissected cortices to 5 mL Eppendorf tubes. Cut the brain tissue into small pieces with sharp dissection scissors, until small enough to pass through the opening of a Pasteur pipet (approximately 30 s), see Figure 2E. Do not pipet to test if the chunks are small enough. Suction from pipetting may cause brain chunks to stick to the pipet tip filter leading to sample loss. Dissection scissors must be sterilized using 70% ethanol before use. Incubate samples for 17 min at 37°C under continuous rotation at 20 rpm using a rotator. During the incubation, prepare enzyme mix 2 at room temperature (RT; 20°C–26°C) (see before you begin). Do not prewarm enzyme mix 2. After incubation, remove the tube from the laboratory oven and add 45 μL of enzyme mix 2 per sample. Mix the tissue/enzyme solution 10–15 times at a rate of 1 mL/s using a sterilized glass cotton-plugged Pasteur pipet topped with a rubber bulb (Figure 2F). CRITICAL: If a larger piece of tissue gets stuck to the pipet tip, tap the bottom of the tube until the tissue is dislodged. Make sure that the solution passes the pipet smoothly before moving on to the next step. Be careful that the solution does not touch the filter. Incubate samples for 12 min at 37°C under continuous rotation at 20 rpm. Pass the tissue/enzyme solution 5 times using a 1 mL syringe with a 20 G needle at a rate of 0.5 mL/s. Each pass is one cycle of (in/out) Switch to a 1 mL syringe with 23 G needle and pass the tissue/enzyme solution 10 times at a rate of 0.25 mL/s until solid pieces are no longer visible (Figure 2G). CRITICAL: Avoid introducing bubbles during the mixing process. Use of a syringe larger than 1 mL increases the probability of bubble introduction. We recommend using a 1 mL syringe. While they have not been tested in this protocol, commercialized tissue dissociating devices (e.g., gentleMACS™ Octo Dissociator with Heaters. Miltenyi Biotec; Cat# 130-096-427) might also be used for steps 9, 10, 13, 14, 15, 16, and 17. The users are recommended establishing a customized program for tissue dissociation based on our protocol. Incubate samples for 10 min at 37°C under continuous rotation at 20 rpm. During incubation, rinse a 70 μm cell strainer with 2 mL of ice-cold (calcium and magnesium free) DPBS. Transfer the tissue/enzyme solution to a 50 mL conical tube and add 20 mL ice-cold DPBS. CRITICAL: All steps from this time onward must be on ice unless noted otherwise. Apply the tissue suspension to the 70 μm cell strainer placed on a separate 50 mL collection tube on ice. Centrifuge tissue suspension at 300 × g for 5 min at 4°C. Aspirate supernatant carefully and completely. Resuspend the cell pellet in 1,800 μL of cold MACS buffer (4°C). Add 200 μL of Myelin Removal Beads. Mix well. Incubate for 15 min at 37°C without rotation. After incubation, add 18 mL of cold MACS buffer. Centrifuge at 300 × g for 5 min at 4°C. During centrifugation, prepare three LS columns per sample (Figure 2H). Place the columns on the Quadro MACS Separator with MACS MultiStand and rinse the columns with 3 mL of MACS buffer. Aspirate the supernatant. Resuspend the cell pellet in 3 mL MACS buffer. Place 15 mL conical collection tubes below each column. Apply 1 mL cell suspension per each LS column. Wash column twice with 1 mL of MACS buffer. Collect total effluent. Wait until the buffer in the column goes through before adding the next 1 mL of buffer. Combine eluents from the 3 separate columns of the same sample. Centrifuge the eluent at 300 × g for 5 min at 4°C.

Red blood cell removal

Timing: 10 min During centrifugation, prepare 1× Red Blood Cell Lysis Solution. Add 0.5 mL of 10× Red Blood Cell Lysis Solution to 4.5 mL ddH2O. (5 mL of 1× solution per sample). Keep the solution at RT. Aspirate the supernatant. Resuspend the cell pellet in 500 μL of ice-cold MACS buffer. Add 5 mL of 1× Red Blood Cell Lysis Solution to the cell suspension. Vortex gently for 5 s. Please do not use vortex settings above 600 rpm. Incubate at RT for 2 min. CRITICAL: Increased incubation time will damage the cells. Centrifuge at 300 × g for 5 min at 4°C.

Microglia removal

Timing: 1 h In comparison to the entirety of the mouse cortex, our single cell suspension enriches vascular cell types (e.g., smooth muscle cells, pericytes, and endothelial cells) by targeted removal of microglia. The addition of the myelin removal beads also contributes to the removal of the oligodendrocyte population. Aspirate the supernatant. Resuspend the cell pellet in 90 μL of MACS buffer. Add 10 μL of CD11b MicroBeads. Incubate for 15 min in a 4°C refrigerator. CRITICAL: Do not incubate on ice. After the 15 min incubation, add 2 mL of MACS buffer. Centrifuge at 300 × g for 10 min at 4°C. During centrifugation, set one MS column per sample on the Octo MACS Separator with MACS MultiStand and rinse columns with 500 μL of MACS buffer. Place collection tubes on ice under each MS column to collect effluent. Aspirate the supernatant. Resuspend the cell pellet in 500 μL of MACS buffer. Apply the cell suspension to the MS column. Wash columns three times with 500 μL of MACS buffer. Collect total effluent. Wait until the buffer in the column goes through before adding the next 500 μL of MACS buffer. Centrifuge the cell suspension at 300 × g for 5 min at 4°C.

Dead cell removal

Timing: 30 min During centrifugation, prepare 1X Binding buffer. Add 4.75 mL ddH2O to 0.25 mL of 20X Binding Buffer Stock Solution per sample. Keep on ice. This dilution yields 1.5 mL of excess buffer. 20X Binding Buffer Stock Solution is provided in the Dead Cell Removal Kit (Miltenyi Biotec; Cat# 130-090-101). Aspirate the supernatant. Resuspend the cell pellet in 100 μL of Dead Cell Removal MicroBeads (provided in the Dead Cell Removal Kit). Incubate for 15 min at RT. During incubation, rinse 1 MS column per sample with 500 μL of 1× Binding buffer. After incubation, add 1 mL of 1× Binding buffer to the cell/bead suspension. Place 15 mL collection tubes below each column. Apply the cell suspension to the MS column. Wash the column four times with 500 μL of 1× Binding buffer. Collect everything. Wait until the buffer in the column goes through before adding the next 500 μL of 1× Binding buffer. Centrifuge at 300 × g for 5 min at 4°C.

Cell viability assay

Timing: 30 min Aspirate supernatant and resuspend the cell pellet in 1 mL of cell suspension solution (0.04% BSA - see before you begin). Take 10 μL of the cell suspension and mix thoroughly with 10 μL of trypan blue. Load 10 μL of the mixture onto a disposable hemacytometer and determine the cell viability using a bright-field microscope (Figures 3A and 3B).
Figure 3

Cell viability evaluation of isolated single cells from mouse cortical brain tissues

(A and B) Representative hemocytometer image of cells stained with trypan blue. Cell suspension and trypan blue (1:1 ratio) were mixed and loaded onto a disposable hemacytometer. Live cells with intact cell membranes exclude trypan blue (open arrow), whereas cells with membrane disruption (i.e., dead cells) are strained blue (closed arrow). Images were taken using an EVOS Microscope under 10× (A; scale bar, 400 μm) and 20× (B; Scale bar, 100 μm).

(C) Representative FSC-A/SSC-A plot and doublet discrimination plot with corresponding gating.

(D and E) Representative results of cell viability assay using flow cytometry. Sample viability was assessed by a live/dead stain using fluorogenic ester Calcein-AM (CAM) and the nucleic acid dye Ethidium homodimer-1 (EthD-1). A total of 5,000 cells were analyzed using BD Accuri Flow Cytometer. CAM positive cells are ‘viable/live,’ whereas EthD-1 positive cells are ‘dead’. The histogram plots show the fluorescence emission profiles of samples treated with CAM (green) or EthD-1 (red). Unstained sample fluorescence emission is shown in black. (C) The shift in FL1 fluorescence in CAM-treated cells indicates that over 97% of cells are viable. (D) The FL2 fluorescence shift in EthD-1 treated cells indicates that about 13% of cells have a loss of cell membrane integrity and are considered non-viable. X axis: fluorescence intensity; Y axis; relative cell count for each population (normalized to mode).

Cell viability evaluation of isolated single cells from mouse cortical brain tissues (A and B) Representative hemocytometer image of cells stained with trypan blue. Cell suspension and trypan blue (1:1 ratio) were mixed and loaded onto a disposable hemacytometer. Live cells with intact cell membranes exclude trypan blue (open arrow), whereas cells with membrane disruption (i.e., dead cells) are strained blue (closed arrow). Images were taken using an EVOS Microscope under 10× (A; scale bar, 400 μm) and 20× (B; Scale bar, 100 μm). (C) Representative FSC-A/SSC-A plot and doublet discrimination plot with corresponding gating. (D and E) Representative results of cell viability assay using flow cytometry. Sample viability was assessed by a live/dead stain using fluorogenic ester Calcein-AM (CAM) and the nucleic acid dye Ethidium homodimer-1 (EthD-1). A total of 5,000 cells were analyzed using BD Accuri Flow Cytometer. CAM positive cells are ‘viable/live,’ whereas EthD-1 positive cells are ‘dead’. The histogram plots show the fluorescence emission profiles of samples treated with CAM (green) or EthD-1 (red). Unstained sample fluorescence emission is shown in black. (C) The shift in FL1 fluorescence in CAM-treated cells indicates that over 97% of cells are viable. (D) The FL2 fluorescence shift in EthD-1 treated cells indicates that about 13% of cells have a loss of cell membrane integrity and are considered non-viable. X axis: fluorescence intensity; Y axis; relative cell count for each population (normalized to mode). The cell viability can also be assessed by flow cytometry using the LIVE/DEAD Viability /Cytotoxicity Kit. CRITICAL: Do not proceed with scRNA-Seq if cell viability is below 90%. Centrifuge at 300 × g for 5 min at 4°C. Resuspend the cell pellet in the cell suspension solution. Adjust the cell suspension to ~ 1×106 cells/mL of live cells.

Single-cell RNA sequencing

Timing: 4 weeks For complete details on scRNA-Seq and data analysis, please refer to Yamazaki et al. (2021). Proceed to the 10× Chromium protocol. Approximately 3,000 glio-vascular cells per animal were loaded into each sample well according to the 10× Chromium Controller protocol (10× Genomics). After loading into the 10× Chromium Controller, surplus cells can be frozen as cell pellet or in an appropriate buffer (for RNA extraction) at −80°C for real-time PCR experiments at a later time to examine if the isolated cells are vascular cell-enriched populations. Please also refer to “Validation of vascular cell-enriched populations” in the ‘expected outcomes’ section. To ensure the optimal cell viability for scRNA-seq, the isolated single cells should be subjected to 10× Chromium Controller immediately. Prepare libraries for scRNA-Seq using Chromium™ Single Cell 3′ Library & Gel Bead Kit v2. Single cell libraries were constructed according to manufacturer’s instructions and sequenced at the 3′ end by an Illumina HiSeq 4000 Sequencing System at an average depth of 60,000 reads per cell. If you are testing differential gene expressions between condition A and B, consider using a sequencing design in which confounding caused by batch or lane effects are eliminated (Auer and Doerge, 2010). For example, if you have four scRNA-Seq libraries generated from four biological replicates (e.g., samples from animal 1 with condition A, animal 2 with condition A, animal 3 with condition B, and animal 4 with condition B), the four libraries are pooled, and the pool is divided into four equal amounts that are subjected for sequencing by multiple lanes. The number of lanes utilized for sequencing should be determined such that the targeted reading depth per cell is sufficiently recovered in each sample. Our data in this manuscript was completed using a V2 kit. As newer kits become available, we recommend following manufacturer instructions for use. Following scRNA-Seq, data can be analyzed by Seurat (Sajita et al., 2015) or other platforms.

Expected outcomes

This protocol is intended for the recovery of glio-vascular cells suitable for scRNA-Seq. Approximately 100,000 - 300,000 glial and vascular cells can be obtained from one adult mouse brain (both cortices) using the above protocol. It should be noted that this can vary depending on the strain and age of mice. In our experiments, we typically obtain single cells with approximately 90% cell viability examined in a trypan blue exclusion assay (Figures 3A and 3B). We further validate the isolated vascular cell-enriched compositions of our isolated cells through real-time PCR using a variety of cell type specific markers (Figure 4). We recommend performing real-time PCR analysis when familiarizing and establishing the protocol. Given that cells used for subsequent scRNA-Seq procedures (i.e., into 10× Chromium Controller) must be processed immediately, real-time PCR validation will not be performed the day of single cell isolation for scRNA-Seq analysis.
Figure 4

Enrichment of vascular cell populations in the single cell suspension evaluated by real-time PCR analysis

RNA was extracted from unprocessed cortical brain tissues and single cell suspensions, subject to reverse transcription, and subsequently real-time PCR analysis.

(A) The expression of vascular cell markers in total brain tissues (Brain) and vascular enriched single cells (Vascular), including Acta2 (SMC; smooth muscle cell), Glut1, Mcam (EC; endothelial cell), and Pdgfr (PC; pericyte). Results were normalized to actin and graphed expressions are visualized as ratios to total brain tissues (N=3 biological repeats). Data represents mean ± S.E.M. ∗∗p < 0.01. Two-tailed t-test.

(B) The expression of non-vascular cell markers in total brain tissues (Brain) and vascular enriched single cells (Vascular), including Tubb3 (Neu; neuron), Olig-1 (OPC; oligodendrocyte precursor cells), Cd11b (MG; microglia), and GFAP (AS; astrocyte). Results were normalized to actin and graphed expressions are visualized as ratios to total brain tissues (N=3–4 biological repeats). Data represents mean ± S.E.M. ∗p < 0.05, N.S., not significant. Two-tailed t-test.

Enrichment of vascular cell populations in the single cell suspension evaluated by real-time PCR analysis RNA was extracted from unprocessed cortical brain tissues and single cell suspensions, subject to reverse transcription, and subsequently real-time PCR analysis. (A) The expression of vascular cell markers in total brain tissues (Brain) and vascular enriched single cells (Vascular), including Acta2 (SMC; smooth muscle cell), Glut1, Mcam (EC; endothelial cell), and Pdgfr (PC; pericyte). Results were normalized to actin and graphed expressions are visualized as ratios to total brain tissues (N=3 biological repeats). Data represents mean ± S.E.M. ∗∗p < 0.01. Two-tailed t-test. (B) The expression of non-vascular cell markers in total brain tissues (Brain) and vascular enriched single cells (Vascular), including Tubb3 (Neu; neuron), Olig-1 (OPC; oligodendrocyte precursor cells), Cd11b (MG; microglia), and GFAP (AS; astrocyte). Results were normalized to actin and graphed expressions are visualized as ratios to total brain tissues (N=3–4 biological repeats). Data represents mean ± S.E.M. ∗p < 0.05, N.S., not significant. Two-tailed t-test. We performed quality control for library preparation where representative results during library preparation are shown in Figure 5. With this protocol, our scRNA-Seq dataset identified major cell types in the brain, including glio-vascular cells (i.e., astrocytes, smooth muscle cells, pericytes, and endothelial cells), and non-vascular cells, (i.e., neurons, microglia/macrophages, and fibroblasts) (Figure 6). The average number of cells sequenced on average was around 2800 with mean reads per cell and median genes per cell were 102500 and 1500, respectively. UMI counts per cell averaged around 3300, where our average cDNA concentration yield is approximately 18 nmol/L for 35 μL. Details of scRNA-Seq analyses can be found in our recent publication (Yamazaki et al., 2021).
Figure 5

Validations for cDNA amplification and gene expression library construction

(A) Major steps for generating Single Cell 3ʹ Gene Expression libraries from single cell suspensions. Please refer to Chromium Single Cell 3ʹ Reagent Kits v2 user guide for details.

(B) cDNA quality control (QC) and quantification. Samples enriched in glial and vascular cells were processed using the Chromium Single Cell 3ʹ Reagent Kits. Specifically, after reverse transcription, cDNA amplification with 12 cycles of PCR, and SPRI-based sample clean-up, 1 μL of the undiluted sample was analyzed on an Agilent Bioanalyzer High Sensitivity DNA chip. Representative images of the Bioanalyzer microgel (left) and its electropherogram trace (right) are shown (n=2, independent; a1, a2).

(C) Post library construction QC. After passing quality control described in B, the samples were further processed with the Chromium Single Cell 3ʹ Library Kits. Specifically, after fragmentation, adapter ligation, sample index PCR amplification with cycles of 14, and SPRI-based sample clean-up, 1 μL of the sample at 1:5 dilution was analyzed on an Agilent Bioanalyzer High Sensitivity DNA chip. Representative images of the Bioanalyzer microgel (left) and its electropherogram trace (right) are shown (n=2, independent; b1, b2). Peaks at 35 and 10380 bp represent spiked-in controls. M, marker.

Figure 6

Example of glio-vascular cell-enriched scRNA-Seq analysis

(A) A t-SNE plot showing a variety of cell types within the captured glio-vascular unit. SMC, smooth muscle cell; MΦ, macrophage.

(B) Feature plot of markers defining major cell types in scRNA-Seq datasets. Astrocyte (Dclk1, Gfap); pericyte (Vtn); Smooth muscle cells (Acta2, Sncg); Choroid plexus (Enpp2); Endothelial cell (Cldn5); Neuron (Tubb3).

(C) A representative split dot plot depicting marker genes for each cell population from Yamazaki et al. 2021.

(D) The scRNA-Seq datasets show differential transcriptomic profiles of glio-vascular cells. Metascape analysis of differentially expressed genes (DEGs) in the pericyte cluster showed an angiogenic upregulation in apoE3 mice. In contrast, glial activation, and cell-matrix adhesion increases were identified in the corresponding apoE4 astrocyte cluster. Figure reprinted with permission from Yamazaki et al., 2021.

Validations for cDNA amplification and gene expression library construction (A) Major steps for generating Single Cell 3ʹ Gene Expression libraries from single cell suspensions. Please refer to Chromium Single Cell 3ʹ Reagent Kits v2 user guide for details. (B) cDNA quality control (QC) and quantification. Samples enriched in glial and vascular cells were processed using the Chromium Single Cell 3ʹ Reagent Kits. Specifically, after reverse transcription, cDNA amplification with 12 cycles of PCR, and SPRI-based sample clean-up, 1 μL of the undiluted sample was analyzed on an Agilent Bioanalyzer High Sensitivity DNA chip. Representative images of the Bioanalyzer microgel (left) and its electropherogram trace (right) are shown (n=2, independent; a1, a2). (C) Post library construction QC. After passing quality control described in B, the samples were further processed with the Chromium Single Cell 3ʹ Library Kits. Specifically, after fragmentation, adapter ligation, sample index PCR amplification with cycles of 14, and SPRI-based sample clean-up, 1 μL of the sample at 1:5 dilution was analyzed on an Agilent Bioanalyzer High Sensitivity DNA chip. Representative images of the Bioanalyzer microgel (left) and its electropherogram trace (right) are shown (n=2, independent; b1, b2). Peaks at 35 and 10380 bp represent spiked-in controls. M, marker. Example of glio-vascular cell-enriched scRNA-Seq analysis (A) A t-SNE plot showing a variety of cell types within the captured glio-vascular unit. SMC, smooth muscle cell; MΦ, macrophage. (B) Feature plot of markers defining major cell types in scRNA-Seq datasets. Astrocyte (Dclk1, Gfap); pericyte (Vtn); Smooth muscle cells (Acta2, Sncg); Choroid plexus (Enpp2); Endothelial cell (Cldn5); Neuron (Tubb3). (C) A representative split dot plot depicting marker genes for each cell population from Yamazaki et al. 2021. (D) The scRNA-Seq datasets show differential transcriptomic profiles of glio-vascular cells. Metascape analysis of differentially expressed genes (DEGs) in the pericyte cluster showed an angiogenic upregulation in apoE3 mice. In contrast, glial activation, and cell-matrix adhesion increases were identified in the corresponding apoE4 astrocyte cluster. Figure reprinted with permission from Yamazaki et al., 2021.

Limitations

Our protocol is optimized for glio-vascular cell isolation, which requires strong enzymatic digestion. Such treatment conditions can potentially activate other cells, such as microglia which may influence results. To enrich glio-vascular cells, microglia are targeted for removal during the isolation process. Only CD11b is targeted due to market availability. If future beads targeting a different marker for microglia are available, additional steps may be added to the protocol to optimize microglial removal. During troubleshooting and validation, we obtain approximately 70%–90% cell viability in a flow cytometry-based cell viability assay (Figures 3C–3E). Decreased cell viability in a flow cytometry live/dead stain may be due to debris contamination counting as dead cells. For the actual experiment, we recommend manual counting with a hemocytometer as it may improve live cell count accuracy and can be performed right away with a few μL of sample. Do not proceed with scRNA-Seq if cell viability is below 90%. The general guideline is that cell viability must be assessed as quickly as possible, and can be examined by means of method of your choice that provides fast and accurate results.

Troubleshooting

Problem 1

The viability of the cells is below 90%. The major potential causes may include: 1) The incubation time in the red blood cell removal step (step 43) might be longer than necessary for well-perfused samples, contributing to decreased cell viability. 2) Incubation during the neural dissociation steps (steps 10, 14, and 17) is ideal for minced brain chunks. Increased incubation time to facilitate dissociation may decrease cell viability. Note that the duration of red blood cell removal step (step 43) is only 2 min. Please be cognizant of the time particularly during this step. 3) Strong vortexing or rough handling of cells may potentially induce cell death.

Potential solution

Cell viability decreases with time following extraction. We recommend preparing all reagents prior to each step to avoid delay in any of the steps following cortex dissection. Incubation time for the red blood cell removal step (step 43) can be decreased to 1 min or as needed for optimal cell viability if the brain was well perfused.

Problem 2

The number of cells ultimately sequenced in scRNA-Seq dataset is lower than expected. Re-evaluate cell preparation methods including cell viability, cell counting method and pipetting techniques (see also: TECHNICAL NOTE Guidelines for Accurate Target Cell Counts Using 10× Genomics Single Cell Solutions, 10× Genomics). Load 110%–120% of the targeted cell numbers to ensure that the numbers of cells ultimately sequenced in scRNA-Seq dataset are as close to the targeted cell numbers as possible.

Problem 3

Not enough vascular cells in the scRNA-Seq analysis after clustering and identifying cell types with cell-type specific markers (step 77). If there is an overabundance of microglia in the scRNA-Seq data, consider increasing the amount of CD11b beads in the microglia removal step (step 47). Beads against additional/alternative microglia markers can be considered when optimizing microglia removal.

Problem 4

Substantial upregulation of immediate early genes, such as Fos, Egr1, Fosb, Nr4a1, and Dusp1, presumably associated with dissociation procedures, is detected in scRNA-Seq data. Consider applying actinomycin D, a general transcription inhibitor, during dissociation procedures (Wu et al., 2017). However, we have not yet tested this out and have no data on the compatibility of actinomycin D with the 10× Single Cell 3′ workflows.

Problem 5

There are not enough vascular cells for scRNA-Seq (step 72). Cell dissociation was too weak (step 14). Without proper digestion and dissociation, it will be difficult to see vascular cells in scRNA-Seq. Some training may be required to acquire to balance cell viability and BVC yield. If the digestion is too strong, there will be cell damage. If the digestion is too weak, then there will be a low yield of BVCs.

Resource availability

Lead contact

Further information, requests for resources and reagents should be directed to and will be fulfilled by the lead contact, Dr. Chia-Chen Liu (Liu.chiachen@mayo.edu).

Materials availability

This protocol did not generate new unique reagents.

Data and code availability

No custom code is necessary to perform this protocol. All datasets mentioned in this protocol have been described in Yamazaki et al., 2021. The accession number for the single-cell RNA sequencing data reported in this paper is AD Knowledge Portal: https://doi.org/10.7303/syn22313650. Graphical abstract was prepared using Biorender.com.
MACS buffer
Reagent/VolumeFor 100 mLFor 250 mLFor 500 mLFor 1000 mL
30% BSA (mL)1.674.178.3316.67
DPBS (mL)98.33245.83491.67983.33
Enough for (X Samples)2.56.2512.525
Cell suspension solution
Reagent/VolumeFor 100 mLFor 250 mLFor 500 mLFor 1000 mL
MACS (mL)8204080
DPBS (mL)92230460920
ReagentAmount/SampleStorage temperature (°C)
Buffer X (Neural Tissue Dissociation kit (P))2,850 μL4°C
Enzyme P (Neural Tissue Dissociation kit (P))75 μL−20°C
Buffer Y (Neural Tissue Dissociation kit (P))30 μL4°C
Enzyme A (Neural Tissue Dissociation kit (P))15 μL−20°C
Myelin Removal Beads II200 μL4°C
Red Blood Cell Lysis Solution500 μL4°C
CD11b MicroBeads mouse/human10 μL4°C
Binding Buffer Stock Solution (Dead Cell Removal Kit)250 μL4°C
Dead Cell Removal MicroBeads (Dead Cell Removal Kit)100 μL4°C

Enzyme mix 1 (per 1 brain)

ReagentAmount
Buffer X2,850 μL
Enzyme P75 μL
Total2,925 μL

Enzyme mix 2 (per 1 brain)

ReagentAmount
Buffer Y30 μL
Enzyme A15 μL
Total45 μL
REAGENT or RESOURCESOURCEIDENTIFIER
Chemicals, peptides, and recombinant proteins

Bovine Serum Albumin solutionSigma-AldrichA9576
IsofluranePiramal Critical Care66794-017-25
DPBS (calcium and magnesium free)Thermo Fisher Scientific14190342
HBSS (with calcium and magnesium)Thermo Fisher Scientific14025092

Critical commercial assays

Neural Tissue Dissociation Kit (P)Miltenyi Biotec130-092-628
Myelin Removal Beads IIMiltenyi Biotec130-096-733
CD11b MicroBeads, human and mouseMiltenyi Biotec130-093-634
Red Blood Cell Lysis Solution, 10×Miltenyi Biotec130-094-183
Dead Cell Removal KitMiltenyi Biotec130-090-101
Trypan BlueBio-Rad1450021
ChromiumTM Single Cell 3′ Library & Gel Beads Kit v210x GenomicsPN-120267
Chromium i7 Multiplex Kit10x GenomicsPN-120262
Bioanalyzer 2100 High Sensitivity DNA KitAgilent Technologies5067-4626
LIVE/DEADTM Viability/Cytotoxicity KitThermo Fisher ScientificL3224

Deposited data

scRNA-Seq raw dataYamazaki et al., 2021AD Knowledge Portal: https://doi.org/10.7303/syn22313650

Experimental models: Organisms/strains

MouseYamazaki et al., 2021N/A

Oligonucleotides

Primers for real-time PCR : See Table 1IDTN/A
SsoAdvanced Universal SYBR® Green SupermixBio-Rad1725274

Software and algorithms

10x Genomics Cell Ranger Single Cell Software Suite10x GenomicsVersion:3.0.0

Other

70 μm Cell StrainerBD Falcon352350
Quadro MACS SeparatorMiltenyi Biotec130-090-976
Octo MACS SeparatorMiltenyi Biotec130-042-109
MACS MultiStandMiltenyi Biotec130-042-303
LS ColumnsMiltenyi Biotec130-042-401
MS ColumnsMiltenyi Biotec130-042-201
Petri dishes, polystyrene (100 mm)Sigma-AldrichP5606-400EA
5 mL Snap cap Eppendorf tubesEppendorf0030119401
15 mL Conical tubeThermo Fisher Scientific339650
50 mL Conical tubeThermo Fisher Scientific339652
1 mL Disposable syringeBDBD309659
20 G needleBD305175
23 G needleBD305145
Cotton-Plugged Borosilicate-Glass Pasteur PipetFisher Scientific13-678-8A
Refrigerated centrifugeEppendorf5810R
Refrigerated centrifugeEppendorf5425
Disposable HemacytometersFisher Scientific22-600-107
10× Chromium Controller10x Genomics120263
Dissection scissorsSigma-AldrichS3146-1EA
Laboratory ovenThomas Scientific1197F66
End-over-end Multi-Functional Tube RotatorWaken BtechWKN-3063
Accuri C6 Flow CytometerBD BiosciencesN/A (discontinued)
BenchMixer Vortexer, Q-drive balancing, 200–3200 rpm, 115VBenchmark ScientificBV1000
Table 1

Primers for real-time PCR

Cell typeMarkerForwardReverse
AstrocytesGfap [1]AGG GCG AAG AAA ACC GCA TCTTC TTT GGT GCT TTT GCC CC
Endothelial CellsGlut1 [2]TTG CCC AGG TGT TTG GCT TAGTA GCA GGG CTG GGA TGA AG
Endothelial CellsMcam [3]CGT GCC GCG GGT GTGACT TGG CTG AAG TTG CCT GA
Oligo Precursor CellsOlig1 [4]ACT ATG CGA TTT CCC AGG CGAAC CCA CCA GCT CAT ACA GC
PericytesPdgfrb [5]GGC AGA AGA AGC CAC GCT ATGAAG GCA ACT GCA CAG GGT C
NeuronTubb3 [6]TGA GGC CTC CTC TCA CAA GTGTC GGG CCT GAA TAG GTG TC
Smooth Muscle CellsActa2 [7]TTC ATT GGG ATG GAG TCA GCGAAT GCC TGG GTA CAT GGT GG
House Keeping GeneActin [8]AGT GTG ACGTTG ACATCC GTAGCC AGA GCA GTA ATC TCC TTC
MicrogliaCd11b [9]CTG GGA GAT GTG AAT GGA GACT GAT GCT GGC TAC TGA TG

[1] Itoh et al., 2016; [2–5] In house; [6] Huang et al., 2018; [7] Marchant et al., 2015; [8] Huang et al., 2018; [9] Holguin et al., 2007.

Real-time PCR was conducted using a SYBR green mix with a QuantStudio Cycler. During the PCR stage, after the initial denaturation step at 95°C for 2 min, samples were held for 15 s at 95°C then decreased and held at 60°C for 1 min for 40 cycles. The final melt curve stage occurred immediately after the PCR stage where samples were held for 15 s at 95°C, decreased to 60°C for 1 min, and increased to 95°C for the final 15 s at a rate of 0.05°C/s. All intermediate temperature changes occurred at a rate of 1.6°C/s.

  9 in total

1.  Statistical design and analysis of RNA sequencing data.

Authors:  Paul L Auer; R W Doerge
Journal:  Genetics       Date:  2010-05-03       Impact factor: 4.562

2.  Tubular overexpression of Gremlin in transgenic mice aggravates renal damage in diabetic nephropathy.

Authors:  Vanessa Marchant; Alejandra Droguett; Graciela Valderrama; M Eugenia Burgos; Daniel Carpio; Bredford Kerr; Marta Ruiz-Ortega; Jesús Egido; Sergio Mezzano
Journal:  Am J Physiol Renal Physiol       Date:  2015-07-08

3.  Detecting Activated Cell Populations Using Single-Cell RNA-Seq.

Authors:  Ye Emily Wu; Lin Pan; Yanning Zuo; Xinmin Li; Weizhe Hong
Journal:  Neuron       Date:  2017-10-11       Impact factor: 17.173

4.  Characterization of the temporo-spatial effects of chronic bilateral intrahippocampal cannulae on interleukin-1beta.

Authors:  Adelina Holguin; Matthew G Frank; Joseph C Biedenkapp; Kristen Nelson; Dylan Lippert; Linda R Watkins; Jerry W Rudy; Steven F Maier
Journal:  J Neurosci Methods       Date:  2007-01-22       Impact factor: 2.390

5.  Levetiracetam treatment influences blood-brain barrier failure associated with angiogenesis and inflammatory responses in the acute phase of epileptogenesis in post-status epilepticus mice.

Authors:  Kouichi Itoh; Yasuhiro Ishihara; Rie Komori; Hiromi Nochi; Ruri Taniguchi; Yoichi Chiba; Masaki Ueno; Fuyuko Takata-Tsuji; Shinya Dohgu; Yasufumi Kataoka
Journal:  Brain Res       Date:  2016-09-28       Impact factor: 3.252

6.  Vascular ApoE4 Impairs Behavior by Modulating Gliovascular Function.

Authors:  Yu Yamazaki; Chia-Chen Liu; Akari Yamazaki; Francis Shue; Yuka A Martens; Yuanxin Chen; Wenhui Qiao; Aishe Kurti; Hiroshi Oue; Yingxue Ren; Ying Li; Tomonori Aikawa; Yesesri Cherukuri; John D Fryer; Yan W Asmann; Betty Y S Kim; Takahisa Kanekiyo; Guojun Bu
Journal:  Neuron       Date:  2020-12-14       Impact factor: 17.173

7.  Spatial reconstruction of single-cell gene expression data.

Authors:  Rahul Satija; Jeffrey A Farrell; David Gennert; Alexander F Schier; Aviv Regev
Journal:  Nat Biotechnol       Date:  2015-04-13       Impact factor: 54.908

8.  Blood-Brain Barrier Damage as the Starting Point of Leukoaraiosis Caused by Cerebral Chronic Hypoperfusion and Its Involved Mechanisms: Effect of Agrin and Aquaporin-4.

Authors:  Jing Huang; Junwen Li; Chao Feng; Xi Huang; Liping Wong; Xueyuan Liu; Zhiyu Nie; Gangming Xi
Journal:  Biomed Res Int       Date:  2018-02-26       Impact factor: 3.411

9.  A molecular atlas of cell types and zonation in the brain vasculature.

Authors:  Michael Vanlandewijck; Liqun He; Maarja Andaloussi Mäe; Johanna Andrae; Koji Ando; Francesca Del Gaudio; Khayrun Nahar; Thibaud Lebouvier; Bàrbara Laviña; Leonor Gouveia; Ying Sun; Elisabeth Raschperger; Markus Räsänen; Yvette Zarb; Naoki Mochizuki; Annika Keller; Urban Lendahl; Christer Betsholtz
Journal:  Nature       Date:  2018-02-14       Impact factor: 49.962

  9 in total
  2 in total

1.  Peripheral apoE4 enhances Alzheimer's pathology and impairs cognition by compromising cerebrovascular function.

Authors:  Chia-Chen Liu; Jing Zhao; Yuan Fu; Yasuteru Inoue; Yingxue Ren; Yuanxin Chen; Sydney V Doss; Francis Shue; Suren Jeevaratnam; Ligia Bastea; Na Wang; Yuka A Martens; Wenhui Qiao; Minghui Wang; Na Zhao; Lin Jia; Yu Yamazaki; Akari Yamazaki; Cassandra L Rosenberg; Zhen Wang; Dehui Kong; Zonghua Li; Lindsey A Kuchenbecker; Zachary A Trottier; Lindsey Felton; Justin Rogers; Zachary S Quicksall; Cynthia Linares; Joshua Knight; Yixing Chen; Aishe Kurti; Takahisa Kanekiyo; John D Fryer; Yan W Asmann; Peter Storz; Xusheng Wang; Junmin Peng; Bin Zhang; Betty Y S Kim; Guojun Bu
Journal:  Nat Neurosci       Date:  2022-08-01       Impact factor: 28.771

Review 2.  Practical Considerations for Single-Cell Genomics.

Authors:  Claire Regan; Jonathan Preall
Journal:  Curr Protoc       Date:  2022-08
  2 in total

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