Quantitative intact proteomics investigations of alveolar macrophages in sarcoidosis

Ernesto Silva, Serhiy Souchelnytskyi, Kie Kasuga, Anders Eklund, Johan Grunewald, Åsa M. Wheelock
European Respiratory Journal 2013 41: 1331-1339; DOI: 10.1183/09031936.00178111

Abstract

Alveolar macrophages are important for granuloma formation, which is the histological hallmark in sarcoidosis. Their function as antigen-presenting cells in sarcoidosis is also believed to be relevant to the outcome of disease, resulting either in remission or a prolonged chronic inflammation in the lungs.

Our aim was to study alterations in the expression levels of the soluble proteome of alveolar macrophages in pulmonary sarcoidosis as compared with healthy controls, with the goal of identifying specific proteins and pathways important for the mechanisms of disease and/or disease phenotype.

Quantitative proteomics approach using two-dimensional difference gel electrophoresis coupled to mass spectrometry was applied. Data was evaluated using multivariate modelling and pathway analyses. 69 protein spots were found to be significantly altered between sarcoidosis and healthy controls. Among these, 25 unique proteins were identified. Several of the identified proteins were related to key alveolar macrophage functionality, including the Fcγ-mediated phagocytosis and clathrin-mediated endocytosis pathways.

Global proteomics analysis provided identification of alterations of a subset of proteins not previously reported in sarcoidosis. These alterations primarily affect biological pathways related to phagocytic macrophage functionality. These findings provide important insights into the role of macrophages in sarcoidosis pathogenesis.

Sarcoidosis is a systemic granulomatous disease of unknown aetiology involving the lungs in ∼90% of patients [1]. Immunologically, pulmonary sarcoidosis is characterised by an increased number of activated alveolar macrophages and CD4+ T-cells with a T-helper (Th) type 1 cytokine profile in the lungs [2]. Alveolar macrophages are involved both in innate [3] and adaptive immune responses [4]. They produce a range of pro-inflammatory cytokines and are a main source for tumour necrosis factor-α production, which plays an important role in the hallmark granuloma formation in sarcoidosis [5–7]. In addition, alveolar macrophages have an important function as antigen-presenting cells (APCs) in sarcoidosis, interacting with T-cell lymphocytes via human leukocyte antigen (HLA) molecules and T-cell receptors, respectively. A number of studies have shown that genetic polymorphisms in the HLA complex are of relevance to the disease outcome [3, 8]. Our group has previously shown a strong association between sarcoidosis patients with Löfgren's syndrome and the HLA-DRB1*03 allele. This group of patients often has a good prognosis with spontaneous resolution, and shows well-defined characteristics including acute onset, bilateral hilar adenopathy, ankle arthritis and/or erythema nodosum. In contrast, the group of patients having the HLA-DRB1*14/15 allele are associated with a more persistent inflammatory phenotype [9].

Sarcoidosis is a complex disease where environmental and genetic factors are important for the disease outcome. Reductionist research focusing on single biomolecules or pathways may provide some limitations in the understanding of the pathogenesis in multifactorial disorders, such as sarcoidosis. Complementary systems level approaches, including quantitative proteomics, give the opportunity to study changes in the expression profile of hundreds of proteins and their corresponding pathways simultaneously. The number of proteomics studies investigating the characteristics of human macrophages is very limited [10, 11]. Jin et al. [12] performed a thorough investigation of the differences between the proteomes of circulating blood monocytes and resident alveolar macrophages, revealing differential protein expression profiles particularly in proteinases (for example, cathepsins) and actin regulatory elements involved in, e.g. phagocytosis and cytokine release, as well as up-regulations of oxidant defence systems required for adaptation to the oxidative environment of the lung. While these investigations provide an important basis for understanding of macrophage differentiation and polarisation occurring in the lung, global proteomics studies investigating phenotypic alterations of human primary alveolar macrophages in response to respiratory disease are scarce. Exceptions include investigations of alveolar macrophage proteome responses to infection by porcine reproductive and respiratory syndrome virus [13] and influenza A virus [14]. Previous proteomics studies on sarcoidosis have been performed mainly on bronchoalveolar lavage (BAL) fluid and serum [15–22], thereby primarily reflecting proteins actively secreted or exudated into the bronchoalveolar lumen, such as plasma proteins and antioxidant proteins. In the current study, we have focused on the intracellular proteome of alveolar macrophages and performed differential proteomics investigations using two-dimensional differential gel electrophoresis (DIGE) with the aim to identify specific proteins and pathways of importance for alveolar macrophage involvement in sarcoidosis. To our knowledge, this is the first clinical quantitative proteomic study performed on isolated alveolar macrophages from pulmonary sarcoidosis patients.

MATERIAL AND METHODS

Study subjects

Bronchoscopy was performed as previously described on seven healthy control subjects and seven sarcoidosis patients as part of the initial diagnostic routine investigation [9]. The diagnostic criteria for sarcoidosis patients were in accordance with the World Association of Sarcoidosis and Other Granulomatous Disorders (WASOG) criteria [23], including chest radiographic changes and altered pulmonary function. Also, granulomas were present in airway epithelial biopsies, and the CD4/CD8 ratio was increased (≥3.5) in BAL T-cell populations. Patients (four males and three females, median age 30 (range 21–45) years) had either a sudden onset with fever, erythema nodosum and/or arthritis (Löfgren's syndrome, n=4), or an insidious onset of symptoms with pronounced fatigue and unproductive cough (non-Löfgren's, n=3). The patients’ chest radiography changes were classified into stages I–III. None of the patients included was under any immunosuppressive treatment. Three of the patients were ex-smokers (>1 year since last cigarette), and four were never-smokers. All healthy subjects (one male and six females, median age 25 (range 19–28) years) were never-smokers and free from any symptoms indicating respiratory disease and all had normal chest radiographs and lung function (table 1). None of the individuals had had signs of respiratory infection within the last 4 weeks prior to inclusion in the study. The study was approved by the Stockholm Local Ethical Committee (case number 02–427).

View this table:
Table 1– Subject characteristics

Sample preparation and quantitative intact proteomics analysis

Alveolar macrophages were isolated from other BAL cells by Percoll density gradient (GE Healthcare, Uppsala, Sweden) as previously described [24]. The inertia of the Percoll reagents in terms of inducing activation during Percoll separation has been verified on a number of antigen presenting cell types, including alveolar macrophages [25–27]. BAL cells were cytospun and stained with May–Grünwald–Giemsa stain, followed by differential counting of macrophages, lymphocytes, eosinophils, neutophils and mast cells both prior to and following Percoll separation. Percoll separation resulted in >95% purity of alveolar macrophages. Subsequently, alveolar macrophages were solubilised and the total protein content was fractionated by ultracentrifugation into soluble and membrane fractions (online supplementary material). The soluble protein fractions were labelled using minimal DIGE [20] according to the manufacturer's instructions (GE Healthcare). In brief, a pooled internal standard was created from aliquots of all samples (Cy2-labelled), co-separated on two-dimensional electrophoresis gels with one sarcoidosis and one healthy sample (Cy3 or Cy5 labelled) and used for normalisation. The isoelectric focusing was performed on 24 cm pH4-7 linear gradient immobilised pH gradient strips, run on IPGphor II (GE Healthcare) for 53.7 kVh, followed by a second dimension SDS-PAGE on 10% large format gels (20×24 cm), thereby focusing the proteome analysis to the acidic proteins with molecular weight <100 kDa. Image acquisition was performed using a Typhoon-9410 fluorescence scanner (GE Healthcare) and subsequent image analysis was performed using Progenesis SameSpots V3.2 (Nonlinear Dynamics, Newcastle-upon-Tyne, UK) (online supplementary material).

Protein identification

Altered protein-spots (ANOVA; p<0.05) were trypsin digested, and further analysed by matrix-assisted laser desorption ionisation-time of flight (MALDI-TOF) (Micromass-R MALDI-TOF, San Diego, CA, USA) or MALDI-TOF/TOF (Applied Biosystems, Framingham, MA, USA) mass spectrometry (MS). Database searching for peptide mass fingerprinting was performed using ProFound (http://prowl.rockefeller.edu) for MALDI/MS data, and peptide mass mapping was performed using Mascot for MALDI-TOF/TOF data (www.matrixscience.com/search_form_select.html) on the NCBI nonredundant protein sequence database (version 2009/03/01).

Statistical analysis

In DIGE image analysis, ANOVA (p<0.05) was applied on log-transformed protein volumes normalised by Cy2 internal standard intensities using GraphPad Prism version 5.0 (GraphPad Software, La Jolla, CA, USA). Multivariate analysis using principal component analysis (PCA) and orthogonal projections to latent structures (OPLS) analysis were performed using SIMCA P+12.0.1 (Umetrics, Umeå, Sweden).

Pathway analysis

Ingenuity pathway analysis (Ingenuity Systems Inc., Redwood City, CA, USA) was used for pathway analysis of the differentially expressed proteins identified in the DIGE analysis. Protein gene names and normalised, log-transformed expression levels of selected proteins were loaded into ingenuity pathway analysis, and adjusted Fisher's exact test was used for statistical testing in the pathway analyses.

RESULTS

Proteomics analysis of alveolar macrophages

Semi-quantitative DIGE analysis of the soluble protein fraction from alveolar macrophages resulted in 648 protein-spots correctly matched across all 21 gel images and of sufficient quality for subsequent quantitative uni- and multivariate analyses. Univariate one-way ANOVA analysis (p>0.05) showed that 69 of the analysed protein spots were significantly altered between sarcoidosis and healthy control groups. The use of an internal standard for correction of the technical variability in conjunction with fourth generation two-dimensional electrophoresis analysis software [24] provided a high overall statistical power (0.84), despite the low number of subjects included, thereby allowing detection of significant alterations in protein abundances down to 1.2-fold changes. A total of 25 unique proteins were identified, of which the expression levels were up-regulated in 17 and downregulated in eight in sarcoidosis compared with healthy controls. The proteins’ identities and associated statistics are presented in tables 2] and 3], respectively.

View this table:
Table 2– Protein identities
View this table:
Table 3– Statistics associated with individual proteins

Multivariate modelling

PCA was initially applied to provide an overview of the general trends of the dataset. The PCA scores-plot showed a clear clustering of sarcoidosis and healthy groups, respectively (fig. 1). The PCA also revealed one outlier among the healthy individuals (H7), located outside the Hotelling T2 95% confidence area. The H7 sample contained a large number of erythrocytes due to bleeding during the BAL procedure, and an additional hypotonic sample-treatment step was required before use in the DIGE analysis. This may have caused the different attributes of H7. Exclusion of the H7 individual did not, however, alter the overall ranking of the variable contribution in either the unsupervised PCA analyses or the subsequent supervised (OPLS) analyses, and the individual was therefore included in all further analyses. In order to further evaluate the predictive power of the 69 significantly altered proteins with regards to patient diagnosis, supervised OPLS analysis was performed with diagnosis as the qualitative response variable. The result was a robust model with good group separation (R2=0.86, Q2=0.41) (fig. 2). The loadings as well as the variable importance on the projections plots showed that valosin-containing protein (VCP), rab-11, keratin 10 and topoisomerase 2b were the most important variables in driving the group separation. Further OPLS analysis based on sarcoidosis phenotype (Löfgren's or non-Löfgren's sarcoidosis) gave a highly predictive model, with a predictive power of 72% (Q2=0.72) based on seven-fold cross-validation (fig. S1).

Figure 1–
Figure 1–

Scores plot of principal component analysis. This unsupervised statistical model revealed a separation between sarcoidosis (S) and healthy (H) subjects. In addition, a subclustering of the two clinical phenotypes of sarcoidosis (Löfgren's and non-Löfgren's) can be discerned primarily along the second principal component (y-axis). The circle indicates the Hotelling's T2 95% confidence interval.

Figure 2–
Figure 2–

Orthogonal projections to latent structures (OPLS) analysis based on diagnosis. a) The OPLS scores plot illustrates a clear separation between the sarcoidosis (S) and healthy (H) groups, respectively (R2=0.86, Q2=0.41). b) The column loadings plot displays the most prominent proteins/protein spots driving the group separation. VCP: valosin-containing protein; RAB11A: Rab11 family-interacting protein 1; AP2B1: adaptor-related protein complex 2, β1 subunit; DYNC1LI1: dynein light chain-A; GILT: γ-interferon-lysosomal thiol reductase; TOP2B: topoisomerase II β isozyme; PLD: phospholipase D; DGKB: diacylglycerol kinase eta; VIM: vimentin; GSS: glutathione synthetase; EPHB1: ephrin type-B receptor 1; MyD88: myeloid differentiation protein 88; DPP9: dipeptidylpeptidase 9 short form; ZFP1: zinc finger protein; ALDHA1: aldehyde dehydrogenase 1; ORP1: OSBP-related protein 1; GSN: gelsolin isoform b; RhoA: RhoA/RAC/CDC42 exchange factor GEFT; AK5: adenylate kinase isoenzyme 5; HSP70: heat shock 70 kDa protein 9; GOLIM4: Golgi integral membrane protein 4; ATP1A1; Na+/K+ ATPase α1 subunit.

Pathway and network analyses

The 25 identified proteins were further investigated with pathway analyses using ingenuity pathway analysis software. Two macrophage-related pathways were found to be significantly upregulated in sarcoidosis; the clathrin-mediated endocytosis pathway (p=0.0019) and the Fcγ receptor-mediated phagocytosis pathway (p=1.3×10−5). Additional network analysis revealed that 11 of the 25 proteins were associated to the nuclear factor (NF)-κB network (fig. 3). These proteins were the myeloid differentiation factor 88 (MyD88), Rab11 family-interacting protein 1 (RAB11A), adaptor protein complex 2, β1 subunit (AP2B1), gelsolin (GSN), phospholipase D (PLD), Eph-like receptor tyrosine kinase (EPHB1), VCP, topoisomerase IIb (top2b), vimentin (VIM), Na+/K+ ATPase α1 subunit (ATP1A1) and RhoA/RAC/CDC42 exchange factor GEFT (RhoA).

Figure 3–
Figure 3–

Network analysis displaying proteins associated with the nuclear factor (NF)-κB-node network. Proteins identified as upregulated (red) or downregulated (green) in sarcoidosis are indicated in the network. Continuous and dashed arrows show direct or indirect correlation between proteins, respectively. RAB11A: Rab11 family-interacting protein 1; VCP: valosin-containing protein; EPHB1: ephrin type-B receptor 1; GSN: gelsolin isoform b; AP2B1: adaptor-related protein complex 2, β1 subunit; TOP2A: topoisomerase II α isozyme; TOP2B: topoisomerase II β isozyme; RhoA: RhoA/RAC/CDC42 exchange factor GEFT; VIM: vimentin; GSS: glutathione synthetase; MyD88: myeloid differentiation protein 88; ATP1A1; Na+/K+ ATPase α1 subunit.

DISCUSSION

In this study, we investigated the expression levels of the soluble proteome of alveolar macrophages in sarcoidosis patients as compared with healthy controls, with the purpose of identifying specific proteins and pathways involved in the pathogenesis of sarcoidosis. Of the 69 protein species found to be significantly altered between groups, we were able to identify 25 unique proteins by mass spectrometry (tables 2 and 3). Subsequent pathway analyses revealed that a number of these proteins are associated with two complementary pathways central for macrophage-related immunofunctionality, Fcγ-mediated phagocytosis pathway and clathrin-mediated endocytosis pathway. Both pathways were upregulated in sarcoidosis. Phagocytosis of exogenous pathogens and associated endosome-vesicle networking represent the key initial steps in the antigen processing and presentation cascade, a central functionality of alveolar macrophages. In sarcoidosis, the subsequent steps involve antigen presentation on major histocompatibility complex (MHC) class II molecules in the plasma membrane to CD4+ T-cells for the induction of an adaptive immunoresponse with a classic Th type 1 cytokine profile [4].

Multiple complementary modes of phagocytosis are active in macrophages, and the Fcγ receptor-mediated pathway represents one central mechanism in the innate response. The binding of the Fc portion of IgG to Fcγ receptors on the surface of macrophages activates a range of antimicrobial responses including phagocytosis, inflammatory cytokine secretion and generation of reactive oxidant species [8, 28]. PLD, found to be upregulated in sarcoidosis, has been shown to be of important for the regulation of phagocytosis in primary human macrophages [29, 30]. Another pathway associated with the phagocytotic mechanism, the clathrin-mediated endocytosis pathway, was also found to be altered in sarcoidosis, including upregulation of adaptor protein complex-2 (AP-2) and RAB11A. Internalised macromolecules, such as bacteria, are carried into the cell in clathrin-coated membrane vesicles derived from invagination of plasma membrane by endocytosis. Endocytosis is also a central step in Fcγ-mediated phagocytosis, as well as in the MHC class II antigen processing, which is an integral part of the alveolar macrophage functionality as APCs. AP-2 is a core protein of the clathrin-mediated endocytic pathway and has been shown to be highly active in endosomal trafficking of the MHC class II antigen presentation. RAB11A has been shown to regulate membrane traffic [31] during phagocytosis in human macrophages, (26)as well as in the fusion of intracellular transport vesicles [32, 33]. Finally γ-interferon lysosomal thiol reductase (GILT), also found to be upregulated in sarcoidosis, is a soluble thiol reductase constitutively expressed in APCs, and important for the antigen presentation and subsequent CD4+ T lymphocytes activation in sarcoidosis [34]. This enzyme reduces disulfide bonds of processed proteins, thereby facilitating peptide loading into the peptide-binding groove of the HLA-molecule, and it was recently shown that GILT is required for correct MHC I presentation of viral glycoproteins [30]. Taken together, these results show an upregulation of a number of proteins related to the antigen presentation mechanisms in alveolar macrophages in patients with pulmonary sarcoidosis compared with control subjects.

The large number of protein variables investigated through a relatively small number of subjects poses a challenge in proteomics analyses, and results from traditional univariate statistics that may be unreliable due to a high number of false positives. Multivariate analyses provide a good complement in this context, as the issue of multiple testing can be avoided and, at the same time, the large degree of covariance inherent in omics analyses is taken into consideration in the statistical analysis. In contrast to the more commonly used PCA modelling, OPLS analysis is a supervised method designed to pull out the predictive variance of interest from the variance unrelated (orthogonal) to the hypothesis of interest, thereby acting as a noise filter that improves the interpretability of the multivariate model, particularly in relating the observed group separation to specific protein biomarkers [35]. OPLS thus serves to focus the predictive information into a single component, thereby giving easier identification of biomarkers of interest, as well as an improved and more accurate assessment of the predictive power of the selected biomarkers. The resulting OPLS model revealed a strong separation between groups (R2Y=0.86) with a good predictive power (Q2=0.41), particularly when considering the limited number of individuals included in the study (fig. 2a). The same protein variables that were significantly altered by univariate statistical measures were driving the OPLS model, thereby providing an alternate means of validating these findings. VCP was the top ranked variable for discriminating between sarcoidosis patients and healthy (fig. 2b). VCP, also known as p97, is a transitional endoplasmic reticulum ATPase involved in multiple mechanisms, including membrane fusion [36], regulation of transcriptional activation of NF-κB via inhibitor (I)κB degradation [37] and apoptosis [6], as well as the endoplasmic reticulum-associated degradation system [38]. The VCP network is complex, regulating multiple signalling pathways through 40 different specific adaptor proteins [39]. VCP is subject to a number of post-translational modifications, resulting in a train of spots detected by two-dimensional electrophoresis gels. Given that only one of the protein spots (fig. 4a) and not the entire spot train (fig. 4b) was altered, VCP is not conducive to traditional validation by Western blotting. As such, alternate bioinformatics approaches to validation were performed, including cross-validation of the multivariate models described above, as well as pathway and network analysis to investigate the biological feasibility of the observed alterations. Network analysis revealed that in addition to VCP, 10 of the 25 proteins identified as significantly altered in sarcoidosis were associated with the extended NF-κB-node network (fig. 3).

Figure 4–
Figure 4–

Valosin-containing protein protein-spot matching from the differential gel electrophoresis image analysis. The significantly altered protein spot was located in a spot train consisting of four protein spots detected above the method limit of quantifiction (a). Statistical analysis of the merged normalised spot volumes for the spot train failed to reach significance (b).

Clinically, lung sarcoidosis can be divided into patients with Löfgren's syndrome and those without. Löfgren’s syndrome patients present an acute onset with an elevated CD4/CD8 T-cells ratio in the lungs, bilateral hilar adenopathy, ankle arthritis and/or erythema nodosum. This patient group presents spontaneous resolution within a span of 2 years without any treatment. On the contrary, patients without Löfgren’s syndrome generally present with a less distinct clinical phenotype and frequently develop a persistent inflammation and lung fibrosis (∼20%). As such, it is of great interest to identify molecular markers and molecular pathways that can discriminate between the two vastly different disease courses. OPLS analysis to investigate differences between Löfgren’s and non-Löfgren’s patients provided a very strong model with a clear separation between groups (fig. S1), where PLD and RhoA, both associated with phagocytosis, were the most driving variables. One important observation was the tight clustering of Löfgren’s patients (S1, S2, S6 and S7), in contrast to the more dispersed group of non-Löfgren’s patients (S3, S4 and S5), reflective of the clinical phenotypes where patients with Löfgren’s show a distinct and typical acute onset whereas non-Löfgren’s patients have a more heterogeneous clinical phenotype. Given the limited number of individuals in the respective patient subgroups, interpretation should be performed with some caution. However, the robustness of the model with a predictive power of 72% (Q2=0.72, based on seven-fold cross-validation) indicates some validity to these findings.

To our knowledge, this is the first quantitative proteomic study performed on isolated alveolar macrophages from sarcoidosis patients. By combining global proteomics analysis with pathway analysis tools, a more systems level understanding of how the observed alterations in the soluble proteome of alveolar macrophages relate to intracellular signalling pathways involved in sarcoidosis could be achieved. These findings represent a step forward in understanding the complexity of sarcoidosis pathogenesis, where several proteins linked to complementary phagocytotic and antigen presentation mechanisms appear to be of importance.

Footnotes

  • This article has supplementary material available from www.erj.ersjournals.com

  • Support Statement

    This work was supported by the Swedish Heart–Lung foundation, the Swedish Medical Research Council, the US National Institutes of Health, the American Thoracic Society, the Foundation for Sarcoidosis Research, the Söderberg Foundation, the King Oscar II Jubilee Foundation, the Stockholm County Council, VINNOVA, VINNOVA Programme co-funded by Marie Curie Actions, and Karolinska Institutet.

  • Statement of Interest

    None declared.

  • Received October 13, 2011.
  • Accepted September 15, 2012.

REFERENCES

  1. ↵
    1. Newman LS,
    2. Rose CS,
    3. Maier LA
    . Sarcoidosis. N Engl J Med 1997; 336: 1224–1234.
    OpenUrlCrossRefPubMedWeb of Science
  2. ↵
    1. Ziegenhagen MW,
    2. Schrum S,
    3. Zissel G,
    4. et al
    . Increased expression of proinflammatory chemokines in bronchoalveolar lavage cells of patients with progressing idiopathic pulmonary fibrosis and sarcoidosis. J Investig Med 1998; 46: 223–231.
    OpenUrlPubMedWeb of Science
  3. ↵
    1. Wiken M,
    2. Grunewald J,
    3. Eklund A,
    4. et al
    . Higher monocyte expression of TLR2 and TLR4, and enhanced pro-inflammatory synergy of TLR2 with NOD2 stimulation in sarcoidosis. J Clin Immunol 2009; 29: 78–89.
    OpenUrlCrossRefPubMedWeb of Science
  4. ↵
    1. Grunewald J,
    2. Eklund A,
    3. Wigzell H,
    4. et al
    . Bronchoalveolar lavage cells from sarcoidosis patients and healthy controls can efficiently present antigens. J Intern Med 1999; 245: 353–357.
    OpenUrlCrossRefPubMed
  5. ↵
    1. Fehrenbach H,
    2. Zissel G,
    3. Goldmann T,
    4. et al
    . Alveolar macrophages are the main source for tumour necrosis factor-α in patients with sarcoidosis. Eur Respir J 2003; 21: 421–428.
    OpenUrlAbstract/FREE Full Text
  6. ↵
    1. Muller-Quernheim J,
    2. Pfeifer S,
    3. Mannel D,
    4. et al
    . Lung-restricted activation of the alveolar macrophage/monocyte system in pulmonary sarcoidosis. Am Rev Respir Dis 1992; 145: 187–192.
    OpenUrlPubMedWeb of Science
  7. ↵
    1. Moller DR
    . Cells and cytokines involved in the pathogenesis of sarcoidosis. Sarcoidosis Vasc Diffuse Lung Dis 1999; 16: 24–31.
    OpenUrlPubMedWeb of Science
  8. ↵
    1. Zhou MJ,
    2. Brown EJ
    . CR3 (Mac-1, alpha M beta 2, CD11b/CD18) and Fc gamma RIII cooperate in generation of a neutrophil respiratory burst: requirement for Fc gamma RIII and tyrosine phosphorylation. J Cell Biol 1994; 125: 1407–1416.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Grunewald J,
    2. Eklund A
    . Lofgren's syndrome: human leukocyte antigen strongly influences the disease course. Am J Respir Crit Care Med 2009; 179: 307–312.
    OpenUrlCrossRefPubMedWeb of Science
  10. ↵
    1. Wu HM,
    2. Jin M,
    3. Marsh CB
    . Toward functional proteomics of alveolar macrophages. Am J Physiol Lung Cell Mol Physiol 2005; 288: L585–L595.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Castagna A,
    2. Polati R,
    3. Bossi AM,
    4. et al
    . Monocyte/macrophage proteomics: recent findings and biomedical applications. Expert Rev Proteomics 2012; 9: 201–215.
    OpenUrlCrossRefPubMedWeb of Science
  12. ↵
    1. Jin M,
    2. Opalek JM,
    3. Marsh CB,
    4. et al
    . Proteome comparison of alveolar macrophages with monocytes reveals distinct protein characteristics. Am J Respir Cell Mol Biol 2004; 31: 322–329.
    OpenUrlCrossRefPubMedWeb of Science
  13. ↵
    1. Zhang H,
    2. Guo X,
    3. Ge X,
    4. et al
    . Changes in the cellular proteins of pulmonary alveolar macrophage infected with porcine reproductive and respiratory syndrome virus by proteomics analysis. J Proteome Res 2009; 8: 3091–3097.
    OpenUrlCrossRefPubMedWeb of Science
  14. ↵
    1. Liu L,
    2. Zhou J,
    3. Wang Y,
    4. et al
    . Proteome alterations in primary human alveolar macrophages in response to influenza A virus infection. J Proteome Res 2012; 11: 4091–4101.
    OpenUrlCrossRefPubMedWeb of Science
  15. ↵
    1. Maver A,
    2. Medica I,
    3. Peterlin B
    . Search for sarcoidosis candidate genes by integration of data from genomic, transcriptomic and proteomic studies. Med Sci Monit 2009; 15: SR22–SR28.
    OpenUrlPubMedWeb of Science
    1. Bons JA,
    2. Drent M,
    3. Bouwman FG,
    4. et al
    . Potential biomarkers for diagnosis of sarcoidosis using proteomics in serum. Respir Med 2007; 101: 1687–1695.
    OpenUrlCrossRefPubMed
    1. Sabounchi-Schutt F,
    2. Astrom J,
    3. Hellman U,
    4. et al
    . Changes in bronchoalveolar lavage fluid proteins in sarcoidosis: a proteomics approach. Eur Respir J 2003; 21: 414–420.
    OpenUrlAbstract/FREE Full Text
    1. Sabounchi-Schutt F,
    2. Mikko M,
    3. Eklund A,
    4. et al
    . Serum protein pattern in sarcoidosis analysed by a proteomics approach. Sarcoidosis Vasc Diffuse Lung Dis 2004; 21: 182–190.
    OpenUrlPubMedWeb of Science
    1. Song Z,
    2. Marzilli L,
    3. Greenlee BM,
    4. et al
    . Mycobacterial catalase-peroxidase is a tissue antigen and target of the adaptive immune response in systemic sarcoidosis. J Exp Med 2005; 201: 755–767.
    OpenUrlAbstract/FREE Full Text
  20. ↵
    1. Silva E,
    2. Bourin S,
    3. Sabounchi-Schutt F,
    4. et al
    . A quantitative proteomic analysis of soluble bronchoalveolar fluid proteins from patients with sarcoidosis and chronic beryllium disease. Sarcoidosis Vasc Diffuse Lung Dis 2007; 24: 24–32.
    OpenUrlPubMedWeb of Science
    1. Rottoli P,
    2. Magi B,
    3. Cianti R,
    4. et al
    . Carbonylated proteins in bronchoalveolar lavage of patients with sarcoidosis, pulmonary fibrosis associated with systemic sclerosis and idiopathic pulmonary fibrosis. Proteomics 2005; 5: 2612–2618.
    OpenUrlCrossRefPubMedWeb of Science
  22. ↵
    1. Rottoli P,
    2. Magi B,
    3. Perari MG,
    4. et al
    . Cytokine profile and proteome analysis in bronchoalveolar lavage of patients with sarcoidosis, pulmonary fibrosis associated with systemic sclerosis and idiopathic pulmonary fibrosis. Proteomics 2005; 5: 1423–1430.
    OpenUrlCrossRefPubMedWeb of Science
  23. ↵
    1. Costabel U,
    2. Hunninghake GW
    . ATS/ERS/WASOG statement on sarcoidosis. Eur Respir J 1999; 14: 735–737.
    OpenUrlFREE Full Text
  24. ↵
    1. Silva E,
    2. O'Gorman M,
    3. Becker S,
    4. et al
    . In the eye of the beholder: does the master see the SameSpots as the novice? J Proteome Res 2010; 9: 1522–1532.
    OpenUrlCrossRefPubMedWeb of Science
  25. ↵
    1. Karhumaki E,
    2. Viljanen ME,
    3. Cottler-Fox M,
    4. et al
    . An improved enrichment method for functionally competent, highly purified peripheral blood dendritic cells and its application to HIV-infected blood samples. Clinical Exp Immunol 1993; 91: 482–488.
    OpenUrl
    1. Saha B,
    2. Bandyopadhyay D,
    3. Roy S
    . Immunobiological studies on experimental visceral leishmaniasis. IV. Kinetics of evolution of disease-promoting versus host-protective cells of monocyte-macrophage lineage and their characterization. Scand J Immunol 1995; 42: 540–546.
    OpenUrlCrossRefPubMed
  27. ↵
    1. Kopp WC,
    2. Suelzer MT,
    3. Richerson HB
    . Alveolar macrophage immunosuppression is maintained in rabbit models of hypersensitivity pneumonitis. J Allergy Clin Immunol 1988; 82: 204–212.
    OpenUrlCrossRefPubMedWeb of Science
  28. ↵
    1. Indik ZK,
    2. Park JG,
    3. Hunter S,
    4. et al
    . Structure/function relationships of Fc gamma receptors in phagocytosis. Semin Immunol 1995; 7: 45–54.
    OpenUrlCrossRefPubMed
  29. ↵
    1. Iyer SS,
    2. Barton JA,
    3. Bourgoin S,
    4. et al
    . Phospholipases D1 and D2 coordinately regulate macrophage phagocytosis. J Immunol 2004; 173: 2615–2623.
    OpenUrlAbstract/FREE Full Text
  30. ↵
    1. Singh R,
    2. Cresswell P
    . Defective cross-presentation of viral antigens in GILT-free mice. Science 2010; 328: 1394–1398.
    OpenUrlAbstract/FREE Full Text
  31. ↵
    1. Wilcke M,
    2. Johannes L,
    3. Galli T,
    4. et al
    . Rab11 regulates the compartmentalization of early endosomes required for efficient transport from early endosomes to the trans-golgi network. J Cell Biol 2000; 151: 1207–1220.
    OpenUrlAbstract/FREE Full Text
  32. ↵
    1. Jin M,
    2. Goldenring JR
    . The Rab11-FIP1/RCP gene codes for multiple protein transcripts related to the plasma membrane recycling system. Biochim Biophys Acta 2006; 1759: 281–295.
    OpenUrlPubMed
  33. ↵
    1. Meyers JM,
    2. Prekeris R
    . Formation of mutually exclusive Rab11 complexes with members of the family of Rab11-interacting proteins regulates Rab11 endocytic targeting and function. J Biol Chem 2002; 277: 49003–49010.
    OpenUrlAbstract/FREE Full Text
  34. ↵
    1. Rocha N,
    2. Neefjes J
    . MHC class II molecules on the move for successful antigen presentation. EMBO J 2008; 27: 1–5.
    OpenUrlCrossRefPubMedWeb of Science
  35. ↵
    1. Trygg J,
    2. Wold S
    . Orthogonal Projections to Latent Structures (OPLS). J Chemometrics 2002; 16: 119–128.
    OpenUrlCrossRefWeb of Science
  36. ↵
    1. Kondo H,
    2. Rabouille C,
    3. Newman R,
    4. et al
    . p47 is a cofactor for p97-mediated membrane fusion. Nature 1997; 388: 75–78.
    OpenUrlCrossRefPubMed
  37. ↵
    1. Dai RM,
    2. Chen E,
    3. Longo DL,
    4. et al
    . Involvement of valosin-containing protein, an ATPase co-purified with IkappaBalpha and 26 S proteasome, in ubiquitin-proteasome-mediated degradation of IkappaBalpha. J Biol Chem 1998; 273: 3562–3573.
    OpenUrlAbstract/FREE Full Text
  38. ↵
    1. Bays NW,
    2. Wilhovsky SK,
    3. Goradia A,
    4. et al
    . HRD4/NPL4 is required for the proteasomal processing of ubiquitinated ER proteins. Mol Biol Cell 2001; 12: 4114–4128.
    OpenUrlAbstract/FREE Full Text
  39. ↵
    1. Yeung HO,
    2. Kloppsteck P,
    3. Niwa H,
    4. et al
    . Insights into adaptor binding to the AAA protein p97. Biochem Soc Trans 2008; 36: 62–67.
    OpenUrlCrossRefPubMedWeb of Science
View Abstract
Back to top
View this article with LENS
Email
Print
Alerts
Citation Tools

Quantitative intact proteomics investigations of alveolar macrophages in sarcoidosis
Ernesto Silva, Serhiy Souchelnytskyi, Kie Kasuga, Anders Eklund, Johan Grunewald, Åsa M. Wheelock
European Respiratory Journal Jun 2013, 41 (6) 1331-1339; DOI: 10.1183/09031936.00178111
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo CiteULike logo Connotea logo Facebook logo Google logo Mendeley logo
Full Text (PDF)

Jump To

Subjects