| Literature DB >> 35434658 |
Xiuxing Liu1, Jianjie Lv1, Huishi Wang1, Yingfeng Zheng1, Wenru Su1.
Abstract
With the advantages of high resolution and high dimension, mass cytometry is implemented to analyze the blood complex immune system in clinical settings. However, long-term clinical sample collection may cause batch effects that mask true biological results. Here, we present a validated and streamlined mass cytometry workflow that features fixed staining for clinical use and optimized barcode staining patterns. The reagents and approaches used in this workflow can help reduce batch effects, thereby extending the application range and advantages of mass cytometry.Entities:
Keywords: Antibody; Flow Cytometry/Mass Cytometry; Immunology
Mesh:
Year: 2022 PMID: 35434658 PMCID: PMC9010797 DOI: 10.1016/j.xpro.2022.101310
Source DB: PubMed Journal: STAR Protoc ISSN: 2666-1667
Figure 1Titrate the surface antibody in the panel
Cells are stained with a mixture of surface antibodies with multiple concentration gradients, followed by data acquisition on Helios Mass Cytometer. Flowjo was used to perform the gating strategy and obtain viable and single-cell events for showing the negative and positive populations of certain markers (see expected outcomes and Figure 3 for more details). Note that the background staining of negative populations decreases with increasing dilution. Titration results show that the ideal dilution factors of antibodies are 1:200 or 1:400. For example, the optimal dilution factor of CD3 is 1:200, because the separation of negative and positive populations is not obvious when it is higher than 1:200, and the background staining of negative populations is stronger when it is lower than 1:200. For two dilutions with similar low background and clear staining separation, the higher dilution should be selected to reduce antibody dosage and background staining, like the dilution of 1:200 for CD4.
Antibody panel for mass cytometry
| Target | Clone | Label | Localization | Dilution |
|---|---|---|---|---|
| CCR4 | L291H4 | 149Sm | Surface | 1:100 |
| CCR7 | G043H7 | 167Er | Surface | 1:400 |
| CXCR4 | 12G5 | 156Gd | Surface | 1:200 |
| CD56 | NCAM16.2 | 176Yb | Surface | 1:400 |
| CD279 | EH12.2H7 | 155Gd | Surface | 1:100 |
| CD3 | UCHT1 | 154Sm | Surface | 1:200 |
| CD16 | 3G8 | 209Bi | Surface | 1:400 |
| CD25 | M-A251 | 150Nd | Surface | 1:200 |
| CD27 | M-T271 | 162Dy | Surface | 1:400 |
| CD123 | 9F5 | 143Nd | Surface | 1:200 |
| CD1C | L161 | 170Er | Surface | 1:200 |
| CD57 | HNK-1 | 114Cd | Surface | 1:400 |
| CD8 | RPA-T8 | 111Cd | Surface | 1:400 |
| CD4 | RPA-T4 | 116Cd | Surface | 1:200 |
| CD45RO | UCHL1 | 165Ho | Surface | 1:400 |
| CD19 | HIB19 | 161Dy | Surface | 1:200 |
| HLA-DR | L243 | 112Cd | Surface | 1:200 |
| CCR2 | K036C2 | 153Eu | Surface | 1:400 |
| CCR6 | G034E3 | 141Pr | Surface | 1:200 |
| CD11C | 3.9 | 146Nd | Surface | 1:200 |
| CD69 | FN50 | 144Nd | Surface | 1:200 |
| CX3CR1 | 2A9-1 | 172Yb | Surface | 1:200 |
| CXCR5 | J252D4 | 171Yb | Surface | 1:200 |
| CD14 | M5E2 | 163Dy | Surface | 1:400 |
| CD45RA | HI100 | 113Cd | Surface | 1:200 |
| IFN-γ | B27 | 168Er | Cytokine | 1:200 |
| IL-10 | JES3-9D7 | 166Er | Cytokine | 1:200 |
| IL-17A | BL168 | 169Tm | Cytokine | 1:50 |
| IL-2 | MQ1-17H12 | 158Gd | Cytokine | 1:100 |
| IL-4 | MP4-25D2 | 142Nd | Cytokine | 1:100 |
| IL-6 | MQ2-13A5 | 147Sm | Cytokine | 1:100 |
| TNF-α | MAb11 | 175Lu | Cytokine | 1:200 |
| FOXP3 | 206D | 159Tb | Transcription factor | 1:50 |
| GM-CSF | BVD2-21C11 | 174Yb | Cytokine | 1:100 |
| IL-1β | 8516 | 173Yb | Cytokine | 1:200 |
| IL-22 | Polyclonal | 164Dy | Cytokine | 1:100 |
| IL-23 | 727753 | 160Gd | Cytokine | 1:100 |
Figure 3The gating strategy of data cleaning
As an example, the data in the #c04 FCS file is imported and performed data cleaning in Flowjo. The viable singlet cell events are obtained by removal of EQ Beads, Gaussian calculations, dead cells, and debris.
Figure 2Barcoding technical strategy and results
(A–C) There are 20 Barcode Plex in the Cell-ID™ 20-Plex Pd Barcoding Kit, enabling unique barcoding of 20 samples. With a specific code number (c#), each plex is labeled with three specific palladium isotopes (A). The debarcoding process is performed in the Helios software based on the Pd-Plex combination and then exported file will be numbered with plex (B). For example, c04 is positive for 102Pd and negative for 105Pd, while c12 is the opposite (C).
Figure 4Measuring the expression of intracellular factors
The scatter plots show the expression of ten intracellular factors (besides IL-1β, see troubleshooting problem 1 and Figure 6 for more details) between unstimulated and stimulated groups.
Figure 6The stimulation condition affects several immune cell populations
(A and B) Certain markers are highlighted to represent the side effects of stimulation condition. The scatter plots (A) and t-SNE map (B) show the expression of CD4, CD14, IL-1β between unstimulated and stimulated groups.
Figure 5Profiling the blood immune cells using high-dimensional algorithms
(A–C) The clustering strategy of major immune cell populations identifying immune cell subtypes (A) based on the scaled expression heatmap of the discriminative gene for each cluster (B). The t-SNE map shows the co-expression of cytokines and receptors (C).
Figure 7Optimize the staining mode of Barcoding
Cells are grouped by two staining modes, Surface-Barcode and Barcode-Surface staining. The scatter plots show the staining results of receptors in the panel.
Figure 8Select suitable markers used for clustering
The data is performed a bioinformatic analysis based on 3 different panels. CCR2 and CD69 are highlighted to show some markers that can affect the t-SNE map distribution and clustering.
| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| CCR4 (1:100) | BioLegend | Cat#359402 |
| CCR7 (1:400) | BioLegend | Cat#353237 |
| CXCR4 (1:200) | Fluidigm | Cat#3156029B |
| CD56 (1:400) | Fluidigm | Cat#3176008B |
| CD279 (1:100) | Fluidigm | Cat#3155009B |
| CD3 (1:200) | Fluidigm | Cat#3154003B |
| CD16 (1:400) | Fluidigm | Cat#3209002B |
| CD25 (1:200) | BD | Cat#555430 |
| CD27 (1:400) | BD | Cat#555439 |
| CD123 (1:200) | BD | Cat#555642 |
| CD1C (1:200) | BioLegend | Cat#331502 |
| CD57 (1:400) | BioLegend | Cat#359602 |
| CD8 (1:400) | BioLegend | Cat#301002 |
| CD4 (1:200) | BioLegend | Cat#300502 |
| CD45RO (1:400) | BioLegend | Cat#304239 |
| CD19 (1:200) | BioLegend | Cat#302202 |
| HLA-DR (1:200) | BioLegend | Cat#307651 |
| CCR2 (1:400) | BioLegend | Cat#357202 |
| CCR6 (1:200) | BioLegend | Cat#353427 |
| CD11C (1:200) | BioLegend | Cat#301602 |
| CD69 (1:200) | BioLegend | Cat#310939 |
| CX3CR1 (1:200) | BioLegend | Cat#341602 |
| CXCR5 (1:200) | BioLegend | Cat#356902 |
| CD14 (1:400) | BioLegend | Cat#301843 |
| CD45RA (1:200) | BioLegend | Cat#304143 |
| IFN-γ (1:200) | BioLegend | Cat#506521 |
| IL-10 (1:200) | BioLegend | Cat#501423 |
| IL-17A (1:50) | BioLegend | Cat#512331 |
| IL-2 (1:100) | BioLegend | Cat#500339 |
| IL-4 (1:100) | BioLegend | Cat#500829 |
| IL-6 (1:100) | BioLegend | Cat#501115 |
| TNF-α (1:200) | BioLegend | Cat#502941 |
| FOXP3 (1:50) | BioLegend | Cat#320102 |
| GM-CSF (1:100) | BioLegend | Cat#502315 |
| IL-1β (1:200) | Novus | Cat#MAB201-100 |
| IL-22 (1:100) | Novus | Cat#AF782 |
| IL-23 (1:100) | Novus | Cat#MAB17161 |
| Human Blood | Healthy volunteers from Zhongshan Ophthalmic Center, 2 males and 2 females, average age 45 years | N/A |
| Cell-ID Cisplatin—5 mM, 100 μL | Fluidigm | Cat#201064 |
| Cell-ID Intercalator-Ir—125 μM, 25 μL | Fluidigm | Cat#201192A |
| 4% paraformaldehyde—500 mL | Beyotime | Cat#P0099 |
| Human TruStain FcX™ (FcR Blocking Solution) | BioLegend | Cat#422301 |
| Maxpar Cell Staining Buffer—500 mL | Fluidigm | Cat#201068 |
| Maxpar Fix and Perm Buffer | Fluidigm | Cat#201067 |
| Maxpar PBS—500 mL | Fluidigm | Cat#201058 |
| Maxpar Fix I Buffer (5×) | Fluidigm | Cat#201065 |
| Maxpar Barcode Perm Buffer (10×) | Fluidigm | Cat#201057 |
| Maxpar Perm-S Buffer | Fluidigm | Cat#201066 |
| Tuning Solution—250 mL | Fluidigm | Cat#201072 |
| EQ™ Four Element Calibration Beads—100 mL | Fluidigm | Cat#201078 |
| Maxpar Cell Acquisition Solution—200 mL | Fluidigm | Cat#201240 |
| Antibody Stabilizer PBS (antibody stabilization buffer) | CANDOR Bioscience | Cat#131 050 |
| RPMI-1640 Medium | Gibco | Cat#11875093 |
| Fetal Bovine Serum (FBS) | Gibco | Cat#16140071 |
| Sodium Pyruvate (100 mM) | Gibco | Cat#11360070 |
| HEPES (1 M) | Gibco | Cat#15630080 |
| Penicillin-streptomycin (100×, 10,000 units/mL of penicillin and 10,000 μg/mL of streptomycin) | Gibco | Cat#15140122 |
| Ficoll-Paque PLUS solution | Cytiva | Cat#17144003 |
| Red Blood Cell Lysing Buffer | Sigma-Aldrich | Cat#R7757 |
| Dimethylsulfoxide (DMSO) | MP Biomedicals | Cat#196055 |
| Phorbol Myristate Acetate | Sigma-Aldrich | Cat#P8139 |
| Ionomycin | Sigma-Aldrich | Cat#I3909 |
| Brefeldin A | Sigma-Aldrich | Cat#B5936 |
| Tris(2-carboxyethyl)phosphine hydrochloride (TCEP) solution, pH 7.0 (10 × 1 mL, 0.5 M) | MilliporeSigma | Cat#646547 |
| HRP-Protector™ peroxidase stabilizer | Boca Scientific | Cat#222050 |
| Maxpar MCP9 Antibody Labeling Kit- 111Cd | Fluidigm | Cat#201111A |
| Maxpar MCP9 Antibody Labeling Kit- 112Cd | Fluidigm | Cat#201112A |
| Maxpar MCP9 Antibody Labeling Kit- 113Cd | Fluidigm | Cat#201113A |
| Maxpar MCP9 Antibody Labeling Kit- 114Cd | Fluidigm | Cat#201114A |
| Maxpar MCP9 Antibody Labeling Kit- 116Cd | Fluidigm | Cat#201116A |
| Maxpar X8 Antibody Labeling Kit- 149Sm | Fluidigm | Cat#201149A |
| Maxpar X8 Antibody Labeling Kit- 167Er | Fluidigm | Cat#201167A |
| Maxpar X8 Antibody Labeling Kit- 150Nd | Fluidigm | Cat#201150A |
| Maxpar X8 Antibody Labeling Kit- 162Dy | Fluidigm | Cat#201162A |
| Maxpar X8 Antibody Labeling Kit- 143Nd | Fluidigm | Cat#201143A |
| Maxpar X8 Antibody Labeling Kit- 170Er | Fluidigm | Cat#201170A |
| Maxpar X8 Antibody Labeling Kit- 165Ho | Fluidigm | Cat#201165A |
| Maxpar X8 Antibody Labeling Kit- 161Dy | Fluidigm | Cat#201161A |
| Maxpar X8 Antibody Labeling Kit- 153Eu | Fluidigm | Cat#201153A |
| Maxpar X8 Antibody Labeling Kit- 141Pr | Fluidigm | Cat#201141A |
| Maxpar X8 Antibody Labeling Kit- 146Nd | Fluidigm | Cat#201146A |
| Maxpar X8 Antibody Labeling Kit- 144Nd | Fluidigm | Cat#201144A |
| Maxpar X8 Antibody Labeling Kit- 172Yb | Fluidigm | Cat#201172A |
| Maxpar X8 Antibody Labeling Kit- 171Yb | Fluidigm | Cat#201171A |
| Maxpar X8 Antibody Labeling Kit- 163Dy | Fluidigm | Cat#201163A |
| Maxpar X8 Antibody Labeling Kit- 168Er | Fluidigm | Cat#201168A |
| Maxpar X8 Antibody Labeling Kit- 166Er | Fluidigm | Cat#201166A |
| Maxpar X8 Antibody Labeling Kit- 169Tm | Fluidigm | Cat#201169A |
| Maxpar X8 Antibody Labeling Kit- 158Gd | Fluidigm | Cat#201158A |
| Maxpar X8 Antibody Labeling Kit- 142Nd | Fluidigm | Cat#201142A |
| Maxpar X8 Antibody Labeling Kit- 147Sm | Fluidigm | Cat#201147A |
| Maxpar X8 Antibody Labeling Kit- 175Lu | Fluidigm | Cat#201175A |
| Maxpar X8 Antibody Labeling Kit- 159Tb | Fluidigm | Cat#201159A |
| Maxpar X8 Antibody Labeling Kit- 174Yb | Fluidigm | Cat#201174A |
| Maxpar X8 Antibody Labeling Kit- 173Yb | Fluidigm | Cat#201173A |
| Maxpar X8 Antibody Labeling Kit- 164Dy | Fluidigm | Cat#201164A |
| Maxpar X8 Antibody Labeling Kit- 160Gd | Fluidigm | Cat#201160A |
| Cell-ID 20-Plex Palladium (Pd) Barcoding Kit | Fluidigm | Cat#201060 |
| CyTOF Software Version 6.5.358 | Fluidigm | |
| FlowJo | Becton, Dickinson & Company | |
| Cytobank | Cytobank Inc. | |
| FlowCore R package Version 2.0.1 | N/A | |
| CATALYST R package Version 1.12.2 | N/A | |
| FlowSOM R package Version 1.20.0 | N/A | |
| Seurat R package Version 4.0.5 | N/A | |
| Corning® polypropylene round-bottom tubes, 5 mL capacity, 12 × 75 mm | Corning | Cat# 352063 |
| Polypropylene round-bottom tubes with 35 μm cell-strainer cap, 5 mL capacity,12 × 75 mm | Corning | Cat# 352235 |
| 1 mL Norm-Ject® latex-free syringes and compatible 0.1 μm syringe filters | NORM-JECT | Cat# 53548-001 |
| Amicon® Ultra-0.5 Centrifugal Filter Unit, 0.5 mL | MilliporeSigma | Cat#UFC500308 (3 kDa)/Cat#UFC505008 (50 kDa)/Cat#UFC510008 (100 kDa) |
| Microcentrifuge Tubes, 0.2 mL | Eppendorf | Cat#0030124332 |
| Microcentrifuge Tubes, 1.5 mL | Eppendorf | Cat#0030108442 |
| Microcentrifuge Tubes, 5 mL | Eppendorf | Cat#0030119401 |
| Centrifuge Tubes, 15 mL | Jet | Cat#CFT011150 |
| Centrifuge Tubes, 50 mL | Jet | Cat#CFT011500 |
| 6-well cell culture plate | Jet | Cat#TCP-011-006 |
| BD Vacutainer® glass blood collection tubes with sodium heparin | BD Vacutainer | Cat#366480 |
| Cryogenic Vials | Corning | Cat#430659 |
| Pipettes (P10–P1000) | Eppendorf | N/A |
| Aerosol barrier (filter) tips | Eppendorf | N/A |
| NanoDrop One | Thermo Fisher Scientific | N/A |
| Two tabletop refrigerated centrifuges | Eppendorf | N/A |
| Mini-centrifuge compatible with 1.5 mL tubes | Eppendorf | N/A |
| Vortexer | Thermo Fisher Scientific | N/A |
| Forma CO2 incubator 3111 | Thermo Fisher Scientific | N/A |
| Water bath capable of 37 ± 1.5°C | Thermo Fisher Scientific | N/A |
| Cellometer Auto 1000 Cell Counter | Nexcelom Biosciences | N/A |
| 4°C and −80°C storage | Haier | N/A |
| Fluidigm Helios Mass Cytometer | Fluidigm | PN#400250 |
| Helios WB Injector | Fluidigm | Cat#107950 |
RPMI-1640 culture medium
| Reagent | Final concentration | Amount (mL) |
|---|---|---|
| RPMI-1640 | n/a | 43.5 |
| FBS | 10% | 5 |
| Sodium Pyruvate (100 mM) | 1 mM | 0.5 |
| HEPES (1 M) | 10 mM | 0.5 |
| Penicillin-streptomycin (100×) | 1× | 0.5 |
Stored at 4°C for up to 2 weeks.
Cell stimulation cocktails
| Reagent | Final concentration | Amount (mL) |
|---|---|---|
| RPMI-1640 culture medium | n/a | 8.5 |
| Phorbol myristate acetate (1 μg/mL) | 50 ng/mL | 0.5 |
| Ionomycin (10 μg/mL) | 500 ng/mL | 0.5 |
| Brefeldin A (20 μg/mL) | 1 μg/mL | 0.5 |
Store at 4°C for up to 2 weeks.