Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells

Immunology and Infection

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Summary

Here, we present a protocol to process fresh bone marrow (BM) isolated from mouse or human for high-dimensional mass cytometry (Cytometry by Time-Of-Flight, CyTOF) analysis of neutrophil-lineage cells.

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Zhu, Y. P., Padgett, L., Dinh, H. Q., Marcovecchio, P., Wu, R., Hinz, D., Kim, C., Hedrick, C. C. Preparation of Whole Bone Marrow for Mass Cytometry Analysis of Neutrophil-lineage Cells. J. Vis. Exp. (148), e59617, doi:10.3791/59617 (2019).

Abstract

In this article, we present a protocol that is optimized to preserve neutrophil-lineage cells in fresh BM for whole BM CyTOF analysis. We utilized a myeloid-biased 39-antibody CyTOF panel to evaluate the hematopoietic system with a focus on the neutrophil-lineage cells by using this protocol. The CyTOF result was analyzed with an open-resource dimensional reduction algorithm, viSNE, and the data was presented to demonstrate the outcome of this protocol. We have discovered new neutrophil-lineage cell populations based on this protocol. This protocol of fresh whole BM preparation may be used for 1), CyTOF analysis to discover unidentified cell populations from whole BM, 2), investigating whole BM defects for patients with blood disorders such as leukemia, 3), assisting optimization of fluorescence-activated flow cytometry protocols that utilize fresh whole BM.

Introduction

In the past few decades, cytometry methods have been a powerful tool to investigate the hematopoietic system in the BM. These methods include fluorescence-activated flow cytometry and the new method of CyTOF using heavy metal-labeled antibodies. They have led to discoveries of many cell types in a heterogeneous biological specimen by identification of their unique surface marker expression profiles. Increased spectrum overlaps that’s associated with more channels leads to higher data inaccuracy in fluorescence-activated flow cytometry applications. Therefore, unwanted cells are routinely removed in order to enrich cell populations of interest for fluorescence-activated flow cytometry analysis. For example, Ly6G (or Gr-1) and CD11b are considered mature myeloid cell markers and Ly6G+ (or Gr-1+) and CD11b+ cells are routinely removed from BM samples by using magnetic enrichment kits prior to flow cytometry analysis of hematopoietic stem and progenitor cells (HSPCs) or by combining these markers in one dump cocktail channel1,2,3. Another example is that neutrophils are routinely removed from human blood specimen to enrich peripheral blood mononuclear cells (PBMC) for immunological studies. Whole bone marrow isolated from mouse or human, however, is rarely investigated intact for cytometry analysis.

Recently, CyTOF has become a revolutionary tool to investigate the hematopoietic system4,5,6. With CyTOF, the fluorophore-labeled antibodies are replaced by heavy element reporter-labeled antibodies. This method allows for the measurement of over 40 markers simultaneously without the concern of spectrum overlap. It has enabled the analysis of intact biological specimen without pre-depletion steps or a dump channel. Therefore, we can view the hematopoietic system comprehensively with high-content dimensionality from conventional 2-D flow cytometry plots. Cell populations omitted in the past during depletion or gating process can now be brought into light with the high-dimensional data generated by CyTOF4,5. We have designed an antibody panel that simultaneously measures 39 parameters in the hematopoietic system with a focus on the myeloid linage7. Compared to the conventional flow cytometry data, the interpretation and visualization of the unprecedented single-cell high-dimensional data generated by CyTOF is challenging. Computational scientists have developed dimensionality reduction techniques for the visualization of high-dimensional datasets. In this article, we used the algorithm, viSNE, which uses t-Distributed Stochastic Neighbor Embedding (t-SNE) technique to analyze the CyTOF data and to present the high-dimensional result on a 2-dimensional map while conserving the high-dimensional structure of the data8,9,10. On the tSNE plot, similar cells are clustered into subsets and the color is used to highlight the feature of the cells. For example, on Figure 1 the myeloid cells are distributed into several cell subsets based on the similarities of their expression patterns of 33 surface markers resulted from CyTOF (Figure 1)4. Here we investigated mouse bone marrow with our previously reported 39-marker CyTOF panel by viSNE analysis7. viSNE analysis of our CyTOF data revealed an unidentified cell population that showed both HSPC (CD117+) and neutrophil (Ly6G+) characteristics (Figure 2)7.

In conclusion, we present a protocol to process fresh whole bone marrow for CyTOF analysis. In this article, we used mouse bone marrow as an example, while this protocol can also be used to process human bone marrow samples. The details specific to human bone marrow samples are also noted in the protocol as well. The advantage of this protocol is that it contains details such as incubation time and temperature that were optimized to preserve neutrophil-lineage cells in the whole bone marrow to enable investigation on the intact whole bone marrow. This protocol may also be easily modified for fluorescence-activated flow cytometry applications.

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Protocol

All experiments followed approved guidelines of the La Jolla Institute for Allergy and Immunology Animal Care and Use Committee, and approval for the use of rodents was obtained from the La Jolla Institute for Allergy and Immunology according to criteria outlined in the Guide for the Care and Use of Laboratory Animals from the National Institutes of Health.

1. Harvest Mouse Bone Marrow (BM)

  1. Purchase C57BL/6J mice from a commercial vendor. Feed the standard rodent chow diet and house in microisolator cages in a pathogen-free facility.
  2. Use male mice, 6-10 weeks of age, for experimental purpose. Euthanize by CO2 inhalation followed by the cervical dislocation.
  3. Place the mouse onto a sterile surgical pad with the abdomen side up. Sterilize the skin of the abdomen and hindlimbs area by spraying 70% ethanol. Use a pair of dissecting surgical scissors to cut the abdominal cavity open.
  4. Remove the skin to expose hindlimbs. Use a pair of blunt-tip dressing forceps to hold the mouse tibia right below the ankle. Use another pair of curved dressing forceps to stabilize the tibia below the blunt-tip dressing forceps. Break the tibia and expose the bone by ripping off the muscle with the blunt-tip dressing forceps.
    NOTE: The tibia is loosely attached to the knee joint and can be easily picked out by using the blunt-tip dressing forceps.
  5. Place the tibia in cold 1x PBS.
  6. Next, move the stabilizing curved dressing forceps downward to the femur. Slide the blunt-tip dressing forceps below the knee joint and hold the kneecap. Dislocate the kneecap by gently pulling it up. Expose the femur by ripping off the muscle attached to the kneecap. Hold the exposed femur by the curved dressing forceps and cut the femur off from the bottom of the bone using dissecting surgical scissors.
  7. Place the femur in cold 1x PBS.
  8. Punch a hole in 0.5 mL microcentrifuge tube with an 18 G needle.
  9. Place both tibia and femur into the same 0.5 mL microcentrifuge tube with the open end of the bones facing downwards to the hole.
  10. Place the 0.5 mL tube containing both tibia and femur into a 1.7 mL microcentrifuge tube.
  11. Spin the double-layered tubes containing both tibia and femur at 5,510 x g for 30 s in the micro-centrifuge.
  12. Ensure that the BM is extracted from the bones and pelleted at the bottom of the tube. Toss the 0.5 mL tube containing the hallowed bones. The mouse BM is ready for next steps.
    NOTE: Human BM is harvested at clinical resources as previously described11.

2. Stain BM Cells for CyTOF

  1. Resuspend the BM in 1 mL 1x Red Blood Cell (RBC) lysis buffer. For human BM, resuspend the whole BM in a 10x volume of 1x Red Blood Cell (RBC) lysis buffer. Incubate for 10 min at room temperature (RT).
  2. Spin the tube at 350 x g for 5 min at 4 °C. For human BM, repeat step 2.1 and 2.2 before proceeding to step 2.3.
  3. Carefully aspirate the supernatant and leave the pellet undisrupted. Resuspend the pellet with 1 mL of cold 1x PBS. Filter the pellet into a 15 mL conical tube through a 70 μm cell strainer. The BM cells are now completely isolated into the tube from the muscle and bone debris. Wash the cells by adding 9 mL of cold 1x PBS into the tube.
  4. Spin the 15 mL tube at 350 x g for 5min at 4 °C.
  5. Carefully aspirate the supernatant and resuspend the BM cells with 10 mL cold PBS. Take an aliquot of cells for counting. Count cells using a hemocytometer.
  6. Aliquot 5 x 106 BM cells into a new 15 mL tube for CyTOF staining.
  7. Spin the 15 mL tube aliquot at 350 x g for 5 min at 4 °C.
  8. Carefully aspirate the supernatant and resuspend the BM cells with 125 nM Cisplatin in 1 mL of CyTOF Staining Buffer as a viability indicator for the sample. Incubate for 5 min at RT.
  9. After incubation, add 4 mL of CyTOF staining buffer to the tube. Spin the tube at 350 x g for 5 min at 4 °C. For human BM, add 10% human AB serum into the CyTOF staining buffer.
  10. Carefully aspirate the supernatant and resuspend the BM cells with 50 µL of Fc Receptor blocking solution. Incubate for 10 min at 4 °C. Skip this step for human BM.
  11. Add 50 µL of the homemade CyTOF antibody cocktail5 to the sample so the total staining volume is 100 μL. Gently pipette to mix. Incubate for 30 min at 4 °C. The final volume of the antibody cocktail is 100 μL for both mouse BM and human BM samples.
  12. Add 2 mL of CyTOF staining buffer to each tube following the incubation to wash the cells, spin the tube at 350 x g for 5 min at 4 °C.
  13. Repeat step 2.12 for a total of two washes.
  14. Prepare a fresh 1.6% formaldehyde solution from the 16% stock ampule. Dilute 1 part of the stock formaldehyde with 9 parts of 1x PBS.
  15. Carefully aspirate the supernatant and resuspend the pellet with 1 mL fresh 1.6% FA solution. Incubate for 15 min at RT.
  16. Spin the tube at 800 x g for 5 min at 4 °C.
  17. Carefully aspirate the supernatant and resuspend the cell pellet with 125 nM intercalation solution in 1 mL fix/perm buffer.
  18. Incubate the sample in intercalation solution overnight at 4 °C.

3. Prepare Cells for CyTOF Acquisition

  1. Gently vortex and spin cells at 800 x g for 5 min at 4 °C.
  2. Wash cells by adding 2 mL of CyTOF staining buffer, spin cells at 800 x g for 5 min at 4 °C and remove the supernatant by aspiration.
  3. Resuspend cells in 1 mL of diH2O. Reserve a small volume (approximately 10 µL) from each tube to count cells.
  4. Spin cells at 800 x g for 5 min at 4 °C.
  5. Repeat step 3.3 and 3.4.
  6. Carefully aspirate the supernatant and leave the cells in the pellet. The BM cells are now ready for resuspension to the concentration of 1 x 106 cells/mL for CyTOF acquisition.

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Representative Results

Figure 1 is presented as an example result from CyTOF experiments. On this tSNE plot the cells across multiple mouse tissues were clustered into subsets based on the similarity of their surface marker expression profiles measured by a 33-parameter CyTOF panel. Cells with more similar properties were automatically clustered together such as the neutrophils, macrophages, or the DCs based on the expression of the 33 markers on each cell.

Figure 2 is presented as an example result for the mouse BM CyTOF experiment using the protocol presented in this study. The protocol preserved the integrity of the whole BM, leading to the discovery of a previously unknown cell population that co-expresses neutrophil (Ly6G+, Figure 2A) and HSPC (CD117+, Figure 2B) signature surface markers simultaneously. This cell population shows a distinct pattern of the surface marker expression measured by our CyTOF panel (Figure 2C) and was omitted by previous myeloid progenitor research due to Ly6G+ cell depletion1,2,3. More importantly, this result led to the discovery of the small subset of the cluster to the left side of the viSNE map that doesn’t express Ly6G however was clustered closely to the CD117+Ly6G+ cells, which suggests the similarity of these cells to the neutrophil-lineage based on the expression of the 39 markers used for this CyTOF experiment.

We used the marker expression profile from the CyTOF data shown in Figure 2C to build a 13-color FACS (fluorescence-activated cell sorting) panel that allows us to isolate the neutrophil progenitors by flow cytometry for downstream functional assays (Figure 3).

Figure 1
Figure 1: Example of the tSNE plot resulted from CyTOF. Aggregate tSNE dimensionality reduced single-cell data from all mice tissues analyzed were plotted and color coded by the 28 'unsupervised' clusters. The coarse identities of each cluster were annotated based on various published analyses. This figure has been modified from reference4. Please click here to view a larger version of this figure.

Figure 2
Figure 2: Automated single-cell analysis of Lin-CD117+Ly6A/E- HSPC cells in bone marrow identifies a distinct neutrophil progenitor population. viSNE maps of Lin-CD117+Ly6A/E- HSPC cells are shown as dot overlays to display the 5 automated clusters. (A) Ly6G and (B) CD117 expression pattern is shown on viSNE map of Lin-CD117+Ly6A/E- HSPC cells as spectrum colored dots. (C) The expression patterns of the indicated markers are shown as histogram overlays of each cluster. This figure has been modified from reference7. Please click here to view a larger version of this figure.

Figure 3
Figure 3: FACS gating strategy demonstrated with mass cytometry (CyTOF) dataset. Manually gated target population was back gated to automated viSNE map for validation. This figure has been modified from reference7. Please click here to view a larger version of this figure.

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Discussion

In past decades, fluorescence-based flow cytometry was used as the main method to study cellular lineages and heterogeneity1,2,3. Although flow cytometry has provided multi-dimensional data, this method is limited by choices of parameters and spectral overlap. To overcome the weakness of flow cytometry we took advantage of CyTOF, which uses heavy metal isotopes instead of fluorophores to label antibodies that eliminates crosstalk between detector channels or autofluorescence of the cells, therefore, can measure many more parameters simultaneously at the single-cell level and generate a much deeper assessment of cellular diversity12. Cell populations omitted in the past during depletion or gating process, especially important immune cells like neutrophil-lineage cells which were for long considered homogeneous13,14, can be better characterized by CyTOF 2,3,7.

To accommodate this powerful cytometry tool of CyTOF to study cell heterogeneity and characterize rare cell populations, protocols that preserve the integrity of biological specimens are extremely practical for heterogeneity studies. Here we described a protocol to process whole BM for CyTOF that enables comprehensive characterization of new cell populations in intact whole BM, which may be used for mouse or human studies. Whole bone marrow isolated from mouse and human contains cell populations, especially neutrophil-lineage cells that are highly fragile and sensitive to environmental changes such as temperature and culture conditions. In this protocol, we have optimized the temperature and incubation conditions for each step in order to preserve these sensitive populations to the maximum level. By doing so the integrity of the whole bone marrow cells is well protected. With personalized marker panel incorporated to this protocol, researchers may identify more cells of interest in different research fields.

Although CyTOF is a powerful end-point analytical tool for discovery of new cell populations and is able to predict the new populations’ function by their marker characteristics, this technology is limited for further downstream functional studies. To enable downstream functional studies, we used viSNE to comprehensively characterize each cluster by examine their expression level of each 39 markers and found the distinct marker combinations as shown in Figure 2C. Although CyTOF data could not be applied to current sorting technologies, its advantage on the measurement of many parameters simultaneously could assist us to identify the best combination of markers within limited parameters. This critical step of data analysis assisted us to take full advantage of CyTOF results to design a FACS-compatible fluorescence-based sorting panel. For example, in this experiment, we used this information in Figure 2C to build a 13-color FACS panel that allows us to isolate the neutrophil progenitor (NeP) by flow cytometry for downstream functional assays (Figure 3). By using CyTOF and FACS in a pipeline, these methods together could enable the isolation of newly discovered cell types for functional studies such as morphology, versatility, in vitro assays, and in vivo studies.

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Disclosures

The authors have nothing to disclose.

Acknowledgments

We would like to thank the LJI Flow Cytometry core for assistance with mass cytometry procedure. This work was supported by NIH grants R01HL134236, P01HL136275, and R01CA202987 (all to C.C.H) and ADA7-12-MN-31 (04) (to C.C.H. and Y.P.Z).

Materials

Name Company Catalog Number Comments
CyTOF Antibodies (mouse)
Anti-Mouse CD45 (Clone 30-F11) -89Y Fluidigm Cat# 3089005B
Anti-Human/Mouse CD45R/B220 (Clone RA36B2)-176Yb Fluidigm Cat# 3176002B
Anti-mouse CD105 (Clone MJ7/18)-Purified Biolegend Cat# 120402; RRID:AB_961070
Anti-mouse CD115 (CSF-1R) (Clone AFS98)-Purified Biolegend Cat# 135502; RRID:AB_1937293
Anti-Mouse CD117/c-kit (Clone 2B8)-166Er Fluidigm Cat# 3166004B
Anti-mouse CD11a (Clone M17/4)-Purified Biolegend Cat# 101101; RRID:AB_312774
Anti-Mouse CD11b (Clone M1/70)-148Nd Fluidigm Cat# 3148003B
Anti-Mouse CD11c (Clone N418)-142Nd Fluidigm Cat# 3142003B
Anti-mouse CD127 (IL-7Rα) (Clone A7R34)-MaxPar Ready Biolegend Cat# 133919; RRID:AB_2565433
Anti-Mouse CD150 (Clone TC1512F12.2)-167Er Fluidigm Cat# 3167004B
Anti-mouse CD16.2 (FcγRIV) (Clone 9E9)-Purified Biolegend Cat# 149502; RRID:AB_2565302
Anti-Mouse CD162 (Clone 4RA10 (RUO))-Purified BD Biosciences Cat# 557787; RRID:AB_647340
Anti-mouse CD169 (Siglec-1) (Clone 3D6.112)-Purified Biolegend Cat# 142402; RRID:AB_10916523
Anti-mouse CD182 (CXCR2) (Clone SA044G4)-Purified Biolegend Cat# 149302; RRID:AB_2565277
Anti-mouse CD183 (Clone CXCR3-173)-Purified Biolegend Cat# 126502; RRID:AB_1027635
Anti-mouse CD335 (NKp46) (Clone 29A1.4)-MaxPar Ready Biolegend Cat# 137625; RRID:AB_2563744
Anti-mouse CD34 (Clone MEC14.7)-Purified Biolegend Cat# 119302; RRID:AB_345280
Anti-mouse CD41 (Clone MWReg30)-MaxPar Ready Biolegend Cat# 133919; RRID:AB_2565433
Anti-Mouse CD43 (Clone S11)-146Nd Fluidigm Cat# 3146009B
Anti-Mouse CD48 (Clone HM48.1)-156Gd Fluidigm Cat# 3156012B
Anti-mouse CD62L (Clone MEL-14)-MaxPar Ready ThermoFisher Cat# 14-1351-82; RRID:AB_467481
Anti-mouse CD71 (Clone RI7217)-Purified Biolegend Cat# 113802; RRID:AB_313563
Anti-mouse CD90 (Clone G7)-Purified Biolegend Cat# 105202; RRID:AB_313169
Anti-Mouse F4/80 (Clone BM8)-159Tb Fluidigm Cat# 3159009B
Anti-mouse FcεRIα (Clone MAR-1)-MaxPar Ready Biolegend Cat# 134321; RRID:AB_2563768
Anti-mouse GM-CSF (MP1-22E9 (RUO))-Purified BD Biosciences Cat# 554404; RRID:AB_395370
Anti-Mouse I-A/I-E (Clone M5/114.15.2)-174Yb Fluidigm Cat# 3174003B
Anti-Mouse Ki67 (Clone B56 (RUO))-Purified BD Biosciences Cat# 556003; RRID:AB_396287
Anti-Mouse Ly-6A/E (Sca-1) (Clone D7)-169Tm Fluidigm Cat# 3169015B
Anti-Mouse Ly6B (Clone 7/4)-Purified abcam Cat# ab53457; RRID:AB_881409
Anti-mouse Ly-6G (Clone 1A8)-MaxPar Ready Biolegend Cat# 127637; RRID:AB_2563784
Anti-Mouse NK1.1 (Clone PK136)-165Ho Fluidigm Cat# 3165018B
Anti-Mouse Siglec-F (Clone E50-2440 (RUO))-Purified BD Biosciences Cat# 552125; RRID:AB_394340
Anti-Mouse TCRβ (Clone H57-597)-143Nd Fluidigm (Clone H57-597)-143Nd
Anti-mouse TER-119/Erythroid Cells (Clone TER-119)-MaxPar Ready Biolegend Cat# 116241; RRID:AB_2563789
Chemicals, Peptides and Recombinant Proteins
Antibody Stabilizer CANDOR Bioscience Cat# 130050
Bovine Serum Albumin Sigma-Aldrich Cat# A4503
Cisplatin-194Pt Fluidigm Cat# 201194
eBioscience 1x RBC Lysis Buffer ThermoFisher Cat# 00-4333-57
eBioscience Foxp3 / Transcription Factor Staining Buffer Set ThermoFisher Cat# 00-4333-57
EQ Four Element Calibration Beads Fluidigm Cat# 201078
Ethylenediaminetetraacetic acid (EDTA) ThermoFisher Cat# AM9260G
Fetal Bovine Serum Omega Scientific Cat# FB-02
HyClone Phosphate Buffered Saline solution GE Lifesciences Cat#SH30256.01
Intercalator-Ir Fluidigm Cat# 201192B
MAXPAR Antibody Labeling Kits Fluidigm http://www.dvssciences.com/product-catalog-maxpar.php
Paraformaldehyde Sigma-Aldrich Cat# 158127
Sodium azide Sigma-Aldrich Cat# S2002
Triton X-100 Sigma-Aldrich Cat# X100
Trypsin EDTA 1x Corning Cat# 25-053-Cl
Experimental Model: Organism/Strains
Mouse: C57BL/6J The Jackson Laboratory Stock No: 000664
Software Alogrithm
Bead-based Normalizer Finck et al., 2013 https://med.virginia.edu/flow-cytometry-facility/wp-content/uploads/sites/170/2015/10/3_Finck-Rachel_CUGM_May2013.pdf
Cytobank Cytobank https://www.cytobank.org/
Cytofkit v1.r.0 Chen et al., 2016 https://bioconductor.org/packages/release/bioc/html/cytofkit.html
t-SNE van der Maaten and Hinton, 2008 https://cran.r-project.org/web/packages/Rtsne/index.html

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References

  1. Akashi, K., Traver, D., Miyamoto, T., Weissman, I. L. A clonogenic common myeloid progenitor that gives rise to all myeloid lineages. Nature. 404, 193-197 (2000).
  2. Iwasaki, H., Akashi, K. Myeloid lineage commitment from the hematopoietic stem cell. Immunity. 26, 726-740 (2007).
  3. Manz, M. G., Miyamoto, T., Akashi, K., Weissman, I. L. Prospective isolation of human clonogenic common myeloid progenitors. Proceedings of the National Academy of Sciences. 99, 11872-11877 (2002).
  4. Becher, B., et al. High-dimensional analysis of the murine myeloid cell system. Nature Immunology. 15, 1181-1189 (2014).
  5. Bendall, S. C., et al. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science. 332, 687-696 (2011).
  6. Samusik, N., Good, Z., Spitzer, M. H., Davis, K. L., Nolan, G. P. Automated mapping of phenotype space with single-cell data. Nature Methods. 13, 493-496 (2016).
  7. Zhu, Y. P., et al. Identification of an Early Unipotent Neutrophil Progenitor with Pro-tumoral Activity in Mouse and Human Bone Marrow. Cell Reports. 24, 2329-2341 (2018).
  8. Van der Maaten, L. J. P., Hinton, G. E. Visualizing High-Dimensional Data Using t-SNE. Journal of Machine Learning Research. 9, 2579-2605 (2008).
  9. Amir, E. A. D., et al. viSNE enables visualization of high dimensional single-cell data and reveals phenotypic heterogeneity of leukemia. Nature Biotechnology. 31, 545-552 (2013).
  10. van der Maaten, L., Hinton, G. Visualizing data using t-SNE. Journal of Machine Learning Research. 9, (85), 2579-2065 (2008).
  11. Cloos, J., et al. Comprehensive Protocol to Sample and Process Bone Marrow for Measuring Measurable Residual Disease and Leukemic Stem Cells in Acute Myeloid Leukemia. Journal of Visualized Experiment. 133, 56386 (2018).
  12. Bendall, S. C., Nolan, G. P., Roederer, M., Chattopadhyay, P. K. A deep profiler’s guide to cytometry. Trends in Immunology. 33, 323-332 (2012).
  13. Ley, K., et al. Neutrophils: New insights and open questions. Science Immunology. 3, (30), 4579 (2018).
  14. Ng, L. G., Ostuni, R., Hidalgo, A. Heterogeneity of neutrophils. Nature Reviews in Immunology. (2019).

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