| Literature DB >> 28982143 |
Michael A Ellison1, Christy M Gearheart1, Christopher C Porter2, Daniel R Ambruso1,3,4,5.
Abstract
The cytokine interferon-γ (IFN-γ) is approved as a drug to treat chronic granulomatous disease (CGD) and osteopetrosis and is also used in hyperimmunoglobulin E syndromes. Patients with CGD have defects in proteins of the NOX2 NADPH oxidase system. This leads to reduced production of microbicidal ROS by PMNs and recurrent life threatening infections. The goal of this study was to better understand how IFN-γ might support phagocyte function in these diseases, and to obtain information that might expand potential uses for IFN-γ. Neutrophils mature in the bone marrow and then enter the blood where they quickly undergo apoptotic cell death with a half-life of only 5-10 hours. Therefore we reasoned that IFN-γ might exert its effects on neutrophils via prolonged exposure to cells undergoing maturation in the marrow rather than by its brief exposure to short-lived circulating cells. To explore this possibility we made use of PLB-985 cells, a myeloblast-like myeloid cell line that can be differentiated into a mature, neutrophil-like state by treatment with various agents including DMSO. In initial studies we investigated transcription and protein expression in PLB-985 cells undergoing maturation in the presence or absence of IFN-γ. We observed IFN-γ induced differences in expression of genes known to be involved in classical aspects of neutrophil function (transmigration, chemotaxis, phagocytosis, killing and pattern recognition) as well as genes involved in apoptosis and other mechanisms that regulating neutrophil number. We also observed differences for genes involved in the major histocompatibility complex I (MHCI) and MHCII systems whose involvement in neutrophil function is controversial and not well defined. Finally, we observed significant changes in expression of genes encoding guanylate binding proteins (Gbps) that are known to have roles in immunity but which have not as yet been linked to neutrophil function. We propose that changes in the expression within these classes of genes could help explain the immune supportive effects of IFN-γ. Next we explored if the effect of IFN-γ on expression of these genes is dependent on whether the cells are undergoing maturation; to do this we compared the effects of IFN-γ on cells cultured with and without DMSO. For a subset of genes the expression level changes caused by IFN-γ were much greater in maturing cells than non-maturing cells. These findings indicate that developmental changes associated with cell maturation can modulate the effects of IFN-γ but that this is gene specific. Since the effects of IFN-γ depend on whether cells are maturing, the gene expression changes observed in this study must be due to more than just prolonged application of IFN-γ and are instead the result of interplay between cell maturation and changes caused by the chemokine. This supports our hypothesis that the effects of IFN-γ on developing neutrophils in the bone marrow may be very different from its effects on mature cells in the blood. Collectively the findings in this study enhance our understanding of the effects of IFN-γ on maturing myeloid cells and indicate possible mechanisms by which this cytokine could support immune function.Entities:
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Year: 2017 PMID: 28982143 PMCID: PMC5628906 DOI: 10.1371/journal.pone.0185956
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Proteins involved in basic neutrophil functions.
| Gene | Common Protein Name(s) | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment | ANOVA p-value |
|---|---|---|---|
| Proteins Involved in Neutrophil Transmigration | |||
| SELPLG | P Selectin Glycoprotein Ligand 1 | 1.21 | 0.000233 |
| ITGAM | Integrin Subunit αM/CD11b | 1.32 | 0.00902 |
| ITGAL | Integrin Subunit αL/CD11a | 1.84 | 0.000057 |
| ITGAX | Integrin Subunit αX/CD11c | 1.33 | 0.044166 |
| ITGA4 | Integrin Subunit α4 | 2.13 | 0.000031 |
| ITGB7 | Integrin Subunit β7 | 6.03 | 1.91E-07 |
| CEACAM1 | Receptor CD66a | 10.42 | 0.000003 |
| SELL | L-selectin | 3.31 | 0.000357 |
| SYK | Spleen Associated Tyrosine Kinase | -1.4 | 0.000142 |
| FGR | Fgr/FGR Proto-Oncogene, Src Family Tyrosine Kinase | -1.72 | 0.000025 |
| LYN | Lyn/LYN Proto-Oncogene, Src Family Tyrosine Kinase | 1.47 | 0.006379 |
| Proteins Involved in Chemotaxis | |||
| FPR1 | Formyl Peptide Receptor 1 | 1.66 | 0.000256 |
| FPR2 | Formyl Peptide Receptor 2 | 1.48 | 0.001889 |
| C3AR1 | Complement Component 3a Receptor 1 | 1.72 | 0.00363 |
| Proteins Involved in Phagocytosis | |||
| FCGR1A | Fc Gamma Receptor Ia/FcγRIA | 39.77 | 6.62E-07 |
| FCGR1B | Fc Gamma Receptor Ib/FcγRIB | 5.33 | 0.000007 |
| FCGR2A | Fcγ receptor IIa/FcγRIIA | 1.81 | 0.000032 |
| FCGR2B | Fcγ receptor IIb/FcγRIIB | 2.12 | 0.047517 |
| FCER1G | FcRγ | 1.48 | 0.000019 |
| Proteins involved in killing of pathogens | |||
| CYBB* | gp91-Phox | 1.19 | 0.010271 |
| NCF1* | p47-Phox | 1.51 | 0.025401 |
| LYZ | Lysozyme | 1.3 | 0.005024 |
| MPO | Myeloproxidase | -22.24 | 4.90E-07 |
aThis data was originally reported in Ellison MA et. al [12]
Proteins involved or potentially involved in antigen presentation by MHCII and MHCI.
| Gene | Common Protein Name(s) | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment | ANOVA p-value | |
|---|---|---|---|---|
| Proteins Involved or Potentially Involved in Antigen Presentation by MHCII | ||||
| CIITA | Class II, Major Histocompatibility Complex, Transactivator | 6.35 | 0.000019 | |
| RFX5 | Regulatory Factor X5 | 1.47 | 0.00167 | |
| HLA-DRA | MHC, Class II, DR α | 74.97 | 1.64E-07 | |
| HLA-DPA1 | MHC, Class II, DP α 1 | 4.79 | 0.000027 | |
| HLA-DPB1 | MHC, Class II, DP β 1 | 3.06 | 0.000052 | |
| CD74 | Invariant Chain/iI/CD74 molecule | 20.84 | 0.000005 | |
| HLA-DMA | MHC, Class II, DM α | 2.98 | 0.000059 | |
| HLA-DMB | MHC, Class II, DM β | 2.3 | 0.000002 | |
| CD86 | CD86 antigen | 1.5 | 0.000185 | |
| CD40 | CD40 antigen | 11.95 | 0.000004 | |
| PDCD1LG2 | CD273 antigen | 11.63 | 0.000007 | |
| CD274 | CD274 antigen | 35.96 | 3.44E-07 | |
| CTSB | Cathepsin B | 1.49 | 0.000812 | |
| CTSL1 | Cathepsin L1 | 1.47 | 0.024585 | |
| CTSS | Cathepsin S | 2.97 | 3.69E-07 | |
| CTSO | Cathepsin O | 9.25 | 0.000004 | |
| CTSZ | Cathepsin Z | 1.78 | 0.000096 | |
| CTSA | Cathepsin A | 1.64 | 0.000184 | |
| Proteins Involved in Antigen Presentation by MHCI | ||||
| B2M | Beta-2-Microglobulin | 1.54 | 0.000069 | |
| HLA-A | MHC, Class I, A | 2.36 | 0.000477 | |
| HLA-B | MHC, Class I, B | 2.55 | 0.000587 | |
| HLA-C | MHC, Class I, C | 2.01 | 0.000006 | |
| HLA-E | MHC, Class I, E | 2.73 | 3.05E-09 | |
| HLA-F | MHC, Class I, F | 1.62 | 0.000345 | |
| HLA-G | MHC, Class I, G | 2.21 | 0.000009 | |
| TAP1 | Peptide Transporter Involved In Antigen Processing 1 | 20.86 | 1.57E-09 | |
| TAP2 | Peptide Transporter Involved In Antigen Processing 2 | 11.88 | 1.60E-08 | |
| TAPBP | TAP Binding Protein (Tapasin) | 2.59 | 0.000004 | |
| PDIA3 | Protein Disulfide Isomerase Family A Member 3 | 1.75 | 0.000288 | |
| CALR | Calreticulin | -1.24 | 0.002063 | |
Proteins involved in neutrophil clearance and homeostasis.
| Gene | Common Protein Name(s) | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment | ANOVA p-value |
|---|---|---|---|
| CASP10 | Caspase 10 | 3.05 | 0.000006 |
| CASP7 | Caspase 7 | 2.3 | 0.000016 |
| CASP3 | Caspase 3 | 1.73 | 0.000026 |
| CAPN3 | Calpain 3 | 2.04 | 0.019004 |
| CAPNS2 | Calpain Small Subunit 2 | 1.64 | 0.006169 |
| CAST | Calpstatin | 1.39 | 0.000024 |
| FAS | Fas Cell Surface Death Receptor | 5.35 | 0.000002 |
| TNFRSF1A | Tumor Necrosis Factor- α Receptor | 1.31 | 0.001167 |
| TNFSF10 | TNF-Related Apoptosis-Inducing Ligand/TRAIL | 10.59 | 1.18E-08 |
| BAX | BCL2 Associated X Protein | 1.29 | 0.004979 |
| BAK1 | BCL2 Antagonist/Killer 1 | 2.05 | 0.000007 |
| BCL2L11 | BCL2 Like 11 | 1.38 | 0.019261 |
| BMF | BCL2 Modifying Factor | 1.24 | 0.002022 |
| BCL2L1 | BCL2 Like 1 | 1.62 | 0.002288 |
| MCL1 | Myeloid Cell Leukemia 1 | 1.69 | 0.000514 |
| BCL2A1 | BCL2 Related Protein A1 | 1.56 | 0.00111 |
| APOL6 | Apolipoprotein L6 | 6.6 | 1.11E-07 |
| XIAP | X-Linked Inhibitor Of Apoptosis | 1.55 | 0.01186 |
| XAF1 | XIAP Associated Factor 1 | 23.45 | 4.71E-07 |
| CXCR4 | C-X-C Motif Chemokine Receptor 4 | -1.98 | 0.000137 |
Innate immune receptors.
| Gene | Common Protein Name(s) | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment | ANOVA p-value |
|---|---|---|---|
| Toll Like Receptors | |||
| TLR4 | Toll Like Receptor 4 | 2.14 | 0.000095 |
| LY96 | Lymphocyte Antigen 96 | 5.96 | 0.000844 |
| TLR8 | Toll Like Receptor 8 | 5.5 | 2.26E-07 |
| TLR1 | Toll Like Receptor 1 | 2.1 | 0.000152 |
| TLR2 | Toll Like Receptor 2 | -1.5 | 0.020288 |
| TLR3 | Toll Like Receptor 3 | 1.44 | 0.012239 |
| TLR9 | Toll Like Receptor 9 | -1.28 | 0.010429 |
| MYD88 | Myeloid Differentiation Primary Response 88 | 1.48 | 0.000243 |
| RIPK1 | Receptor-Interacting Protein 1 | 1.28 | 0.000001 |
| RIPK2 | Receptor-Interacting Protein 2 | 2.6 | 0.000913 |
| TANK | TRAF Family Member Associated NFKB Activator | 1.48 | 0.002157 |
| TRAF6 | Interleukin-1 Signal Transducer | 1.31 | 0.000461 |
| IRAK3 | IRAK-M | -1.59 | 0.000721 |
| Nod-Like Receptors, Inflammasome Components and AIM2 | |||
| NOD1 | Nucleotide Binding Oligomerization Domain Containing 1 | 1.38 | 0.003572 |
| NLRP3 | NLR Family, Pyrin Domain Containing 3 | 1.78 | 0.000068 |
| CASP1 | Caspase 1 | 5 | 5.47E-07 |
| PYCARD | PYD And CARD Domain Containing | 1.37 | 0.000337 |
| AIM2 | Absent in Myeloma 2 | 24.56 | 0.000016 |
| C-type lectins | |||
| CLEC7A | C-Type Lectin Domain Family 7 Member A | 1.6 | 0.001515 |
| CLEC12A | C-Type Lectin Domain Family 12 Member A | -2.23 | 0.000048 |
| CLEC4E | C-Type Lectin Domain Family 4 Member E | -1.43 | 0.028254 |
| CLEC4D | C-Type Lectin Domain Family 4 Member D | -1.55 | 0.011814 |
| CLEC2B | C-Type Lectin Domain Family 2 Member B | 8.15 | 8.55E-07 |
| CLEC5A | C-Type Lectin Domain Family 5 Member A | -2.4 | 0.018912 |
Guanylate binding proteins.
| Gene | Common Protein Name(s) | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment | ANOVA p-value |
|---|---|---|---|
| GBP5 | Guanylate Binding Protein 5 | 337.28 | 1.97E-09 |
| GBP4 | Guanylate Binding Protein 4 | 248.98 | 3.31E-09 |
| GBP2 | Guanylate Binding Protein 2 | 213.09 | 8.41E-09 |
| GBP1 | Guanylate Binding Protein 1 | 188.25 | 9.86E-07 |
| GBP3 | Guanylate Binding Protein 3 | 22.21 | 2.33E-08 |
| GBP6 | Guanylate Binding Protein 6 | 2.43 | 0.003274 |
Fig 1Western blots to correlate changes in mRNA levels with corresponding protein levels.
The levels of select proteins in Tables 1–5 were investigated by Western Blot. Lanes containing cell lysate from untreated cell are on the left (-) and lysates from IFN-γ treated cells are on the right (+). The blots are organized according to the roles of the proteins in the same way as in Tables 1–5. The proteins are identified by the corresponding gene names. The housekeeping enzyme glyceraldehyde 3-phosphate dehydrogenase (GAPDH) was blotted as a control that is not altered by IFN-γ treatment. Except for GAPDH, the numbers under each gene name are the fold changes in mRNAs as in Tables 1–5. For GAPDH the 1.02 fold change was not significant (ANOVA p-value = 0.444976).
Fig 2Comparison of the effect of IFN-γ in maturing cells and non-maturing PLB-985 cells.
For the immune related genes in Tables 1–5, the fold change in mRNA levels for DMSO plus IFN-γ treated cells versus DMSO treated cells (grey bars) were compared to the fold changes for IFN-γ treated cells versus untreated cells (black bars). The DMSO plus IFN-γ versus DMSO fold change models the effect of IFN-γ on maturing cells whereas the IFN-γ versus untreated fold change represents its effect on non-maturing cells. Graphs A, B and C show the results for those genes where the DMSO plus IFN-γ versus DMSO fold change (increase or decrease) was greater than 5 fold, 2 to 5 fold or less than 2 fold, respectively.
Gene dependent differences in expression changes induced by IFN-γ applied to already mature or maturing cells.
| Gene | Fold change for mature cells treated with IFN-γ versus untreated mature cells | Fold change for DMSO plus IFN-γ treatment versus DMSO treatment |
|---|---|---|
| FCGRIA | 39.77 | 22.57 |
| APOL6 | 6.6 | 7.65 |
| MPO | -22.24 | -1.05 |
| XAF | 23.45 | 1.12 |
| HLA-DRA | 74.97 | 1.32 |
| GBP5 | 337.28 | 13.36 |
a Non-significant changes (p>0.05)
FCGRIA and APOL6 are examples of genes that were strongly upregulated when IFN-γ was applied to already mature cells for 3 hours. In contrast, the other genes in Table 6 were strongly modulated by IFN-γ when cells were treated during maturation but their expression was much less altered when IFN-γ was applied to already mature cells.