Skip to main content
Download PDF

Analysis of the proteome of human airway epithelial secretions

Proteome Science volume 9, Article number: 4 (2011) Cite this article

Abstract

Background

Airway surface liquid, often referred to as mucus, is a thin layer of fluid covering the luminal surface that plays an important defensive role against foreign particles and chemicals entering the lungs. Airway mucus contains various macromolecules, the most abundant being mucin glycoproteins, which contribute to its defensive function. Airway epithelial cells cultured in vitro secrete mucins and nonmucin proteins from their apical surface that mimics mucus production in vivo. The current study was undertaken to identify the polypeptide constituents of human airway epithelial cell secretions to gain a better understanding of the protein composition of respiratory mucus.

Results

Fifty-five proteins were identified in the high molecular weight fraction of apical secretions collected from in vitro cultures of well-differentiated primary human airway epithelial cells and isolated under physiological conditions. Among these were MUC1, MUC4, MUC5B, and MUC16 mucins. By proteomic analysis, the nonmucin proteins could be classified as inflammatory, anti-inflammatory, anti-oxidative, and/or anti-microbial.

Conclusions

Because the majority of the nonmucin proteins possess molecular weights less than that selected for analysis, it is theoretically possible that they may associate with the high molecular weight and negatively charged mucins to form a highly ordered structural organization that is likely to be important for maintaining the proper defensive function of airway mucus.

Background

Mucins are a heterogeneous group of polydisperse and high molecular weight O-glycosylated proteins, ranging from 300,000 to >1 × 107 Da [1]. Mucin genes encode polypeptide monomers that are synthesized as rod-shape apomucin cores and are post-translationally modified by exceptionally abundant and terminally sialylated glycan moieties. Mucins are secreted or inserted to the apical surface membrane of epithelial cells via a membrane-spanning hydrophobic domain [2, 3]. Secreted mucins constitute the most abundant glycoprotein component of mucus, a gel-like substance that covers all wet-surfaced epithelia, including those of the respiratory, gastrointestinal, and genitourinary tracts [4–7]. Eighteen mucin (MUC) genes have been cloned, 12 of which are expressed in the respiratory tract [3]. Airway secreted mucins (MUC2, 5AC, 5B, 7, 8, 11, 13, 19, and 20) are produced by goblet cells on the surface epithelium and mucous cells from sub-mucosal glands [4, 5, 7]. Membrane-associated mucins in the airways include MUC1, MUC4, and MUC16. Mucin gene and protein structures, goblet cell mucin secretion and hypersecretion in airway diseases as well as the regulation of goblet cell hyperplasia have been well-documented in the literature [7–9]. However, the complex interactions between mucins and other protein components of airway mucus remain to be elucidated.

In vitro cultures of human and animal airway epithelial cells have been used to characterize mucin production under various experimental conditions. Human cell cultures from tracheal glands were reported to express a mixed serous and mucous phenotype [10, 11]. Normal and cystic fibrosis cells from human tracheal glands isolated by the explant/outgrowth procedure secreted high molecular weight mucin-like glycoproteins and expressed the MUC2 gene [12]. The development and characterization of primary cell cultures from tracheal surface epithelium [13] that were highly enriched for secretory cells allowed the first identification of authentic airway mucins that were produced in vitro [14]. Confluent cultures of hamster tracheal epithelial cells cultured on a type I collagen gel synthesized and secreted high molecular weight glycoconjugates which eluted in the void volume upon Sepharose CL-4B column chromatography [14, 15]. Biochemical analysis of these mucous glycoproteins showed both size and charge microheterogeneities that were remarkably similar to those of mucins produced in vivo.

The in vitro model of mucin production by airway epithelial cell cultures first established in hamsters was subsequently extended to guinea pig and human airway epithelium [16, 17]. Proteomic studies have revealed that the protein composition of in vitro human airway epithelial cell secretions is particularly complex. Candiano et al. [18] used a two-dimensional SDS-PAGE/proteomics approach to identify the proteins secreted by in vitro cultures of polarized monolayers of human airway epithelial cells at resting and following stimulation with IL-4, IL-1β, TNF-α, or IFN-γ. Approximately 175 polypeptides were identified, among which were immune-related proteins, structural proteins, proteases, and protease inhibitors. Comparisons between treated and untreated conditions showed that the expression of several proteins was significantly modified by the different cytokines. Kesimer et al. [19] identified 134 proteins from apical secretions of primary airway epithelial cells, with 84 proteins (62.7%) being common with the proteins identified in in vivo human tracheobronchial sputum. Separation of the proteins by density gradient ultracentrifugation in the presence of 4 M guanidine hydrochloride identified 29 proteins that were present in the high-density, mucin-rich fraction. The nonmucin proteins in this fraction were also present in the lower-density pool, suggesting to the authors that they associated and copurified with the mucins. However, given that the proteins were isolated under denaturing conditions, the current study was conducted to identify mucin-associated proteins in in vitro human airway epithelial cell secretions isolated under more physiological conditions.

Methods

Preparation of human airway epithelial cell secretions (hAECS)

Primary normal human bronchial epithelial (NHBE) cells and culture media were purchased from MatTek Corp. (Ashland, MA). Air-liquid interface (ALI) cell cultures were maintained according to the manufacturer's protocol. The cells were seeded and incubated for 2 days at 37°C as submerged cultures before ALI culture was initiated. At confluence, the apical surface of the culture was washed with culture medium and the collected medium was referred to as hAECS. hAECS were collected daily for 5 days from multiple independent cultures of NHBE cells reflecting different cell donors and were pooled so that the data could not be attributed to artifacts of a single donor's genotype. Pooled samples were dialyzed against 100-fold volume of distilled water at 4°C for 2 days to approximately 5 mOsm/L, lyophilized, and stored at -80°C.

Gel filtration chromatography

Approximately 1.80 mg of hAECS protein in 2.5 ml was separated on a Sepharose CL-4B gel filtration column (3.0 × 50 cm), pre-calculated for the void volume (V0) and total volume (Vt) fractions with dextran blue and phenol red respectively. Proteins were applied and eluted in PBS, pH 7.2 with elution monitored by absorbance at 280 nm (A280). The V0 fractions containing high molecular weight mucins and associated proteins were collected, assayed for carbohydrate content by reaction with Periodic acid-Schiff reagents, and stored at -20°C until use.

Periodic acid-Schiff carbohydrate assay

The Periodic acid-Schiff staining kit from Sigma (St. Louis, MO) was used to determine carbohydrate content according to the manufacturer's instructions. Briefly, 180 μl of sample was added to wells of a 96-well plate, followed by the addition of 20 μl of periodic acid solution, incubation at 37°C for 1 hr, addition of 20 μl of Schiff's reagent, and incubation at room temperature for 30 min. A555 was measured using a spectrophotometer.

MUC5AC Westen blot assay

Samples were diluted in 1:4 in 40 mM Tris-acetate, pH 8.0 containing 40% glycerol and 0.8% bromophenol blue and heated at 100°C for 5 min. Samples were electrophoresed in 1.0% agarose gels (12 × 12 cm) using 40 mM Tris-acetate, pH 8.0 containing 1.0 mM EDTA and 0.1% SDS at 30 V for 20 hr at room temperature. After electrophoresis, the agarose gels were incubated with transfer buffer (0.06 M sodium citrate, pH 7.0, 0.6 M NaCl) for 30 min and proteins were transferred to PVDF membrane overnight by the capillary blotting. The membrane was blocked with PBS containing 0.5% Tween 20 for 1 hr, sequentially incubated overnight with primary anti-MUC5AC monoclonal antibody (1:2,000; 45 M1, GenWay Biotech, San Diego, CA), 1 hr with goat anti-mouse IgG secondary antibody (1:10,000; KPL, Gaithersburg, MD), and enhanced chemiluminescence substrate (Amersham GE Healthcare, Piscataway, NJ).

Proteomics analysis

TCA precipitation of V0 fractions

V0 fractions were precipitated by addition of a 4-fold volume of TCA overnight at 4°C. Samples were centrifuged at 15,000 × g for 15 min at 4°C, the pellets were resuspended in 200 μl of acetone at -20°C, centrifuged, and air-dried.

One-dimensional SDS-polyacrylamide gel electrophoresis

TCA precipitated and acetone washed V0 fractions of hAECS were resuspended in a minimum volume of 30 mM Tris-HCl, pH 8.5-9.0 containing 2 M thiourea, 7 M urea, and 4% CHAPS. Thirty μg of protein was diluted in an equal volume of SDS-PAGE sample loading buffer (120 mM Tris-HCl, pH 6.8 containing 20% glycerol, 4% SDS, 200 mM DTT, and 0.01% bromophenol blue). Samples were resolved on one-dimensional 12% SDS-PAGE gels at 20 mA for 30 min and 50 mA until the bromophenol dye front reached the bottom of gel. Gels were silver-stained and photographed.

Nano-LC-IT MS

Gel slices obtained along the entire length of the SDS-PAGE gel were reduced with 10 mM DTT in 50 mM NH4HCO3 for 30 min at 37°C and alkylated with 50 mM iodoacetamide in 50 mM NH4HCO3 for 30 min at room temperature in the dark. Gel slices were destained with 50% (v/v) acetonitrile in 50 mM NH4HCO3, dehydrated with acetonitrile, and 40 ml of 12.5 mg/ml trypsin in 50 mM NH4HCO3 was added to cover the gel pieces. Following overnight trypsin digestion, peptides released into solution were desalted, dried by vacuum centrifugation, and resolubilized in 30 ml of 0.1% (vol/vol) trifluoroacetic acid. The sample was loaded onto a 2 mg capacity peptide trap (CapTrap; Michrom Bioresources, Auburn, CA) prior to separation on a C-18 reversed-phase HPLC capillary column (15 cm, 75 mm, Agilent, Santa Clara, CA) at 300 nl/min delivered by an Agilent 1100 LC pump. A mobile-phase gradient was run using mobile phases A (1% acetonitrile/0.1% formic acid) and B (80% acetonitrile/0.1% formic acid) from 0 to 10 min with 0-15% B, 10-60 min with 15-60% B, and 60-65 min with 60-100% B. Eluted peptides were analyzed by nanoelectrospray ionization (ESI) tandem mass spectrometry (MS) using a HCT Ultra ion trap mass spectrometer (Bruker Daltonics Inc., Billerica, MA). ESI was delivered using distal-coating spray Silica tip (ID 20 mM, tip inner ID 10 mM, New Objective, Woburn, MA) at a spray voltage of -1300 V. Using automatic switching between MS and MS/MS modes, MS/MS fragmentation was performed on the two most abundant ions on each spectrum using collision-induced dissociation with active exclusion (excluded after two spectra and released after 2 min). The entire system was controlled by HyStar 3.1 software.

Data analysis

Mass spectra processing was performed with Data Analysis 3.3 software and the generated peak list was submitted to an in-house Mascot (Matrix Science, Boston, MA) search engine (version 2.2) for searching against the Swiss-Prot protein database (version 56.6 containing 410,518 sequences). Mascot search parameters were set as follows: taxonomy human, trypsin enzyme with maximal 1 missed cleavage, cysteine carboxymethylation as fixed modification, methionine oxidation as variable modifications, and 0.30 Da mass tolerance for precursor peptide ions and 0.4 Da for MS/MS fragment ions. All peptides matches were filtered with an ion score cutoff of 10. The following criteria were used for protein identification: one peptide with ion score 50 or higher, two or more peptides with one ion score higher than 31 (p < 0.05) and one ion score 20 or higher, and molecular weight match between theoretical and experimental values applied for proteins with Mascot scores less than 70. Protein identifications were only accepted and reported as distinct hits if they were based on at least one unique peptide that passed probability validation. Under these criteria, no false positive matches were found when searched against a reversed-decoy Swiss-Prot database. Identified proteins were analyzed for molecular and biological function using the Panther protein database [20] and literature search using PubMed.

Results

Gel filtration chromatography of hAECS

Figure 1 shows the Sepharose CL-4B gel filtration profile of hAECS collected from the apical surface of in vitro cultures of primary NHBE cells cultured at an ALI. Two peaks of protein elution were detected by A280, the V0 (fraction 18) and the Vt (fraction 41) (denoted by solid line). The periodic acid-Schiff assay confirmed the presence of glycoproteins in the V0 fractions (denoted by dotted line).

Figure 1
figure 1

Sepharose CL-4B gel filtration chromatography of hAECS. The percent optical densities at 280 nm (solid line) and 555 nm (dashed line) are indicated on the x-axis while individual column fractions are indicated on the y-axis. The void volume (V0) and total volume (Vt) are indicated.

Full size image

Gel electrophoretic analysis of hAECS proteins

Silver staining of hAECS proteins in the Sepharose CL-4B V0 fraction that were resolved by one-dimensional SDS-PAGE showed the presence of multiple protein bands (Figure 2). Most of the proteins bands were <75 kDa with a diffuse area of staining at >250 kDa.

Figure 2
figure 2

One-dimensional SDS-polyacrylamide gel electrophoresis of V 0 fraction from gel filtration chromatography. Proteins were separated on a 12% gel under reducing conditions and visualized by silver staining. Lane 1, hAECS sample. Lane 2, prestained molecular weight marker proteins. Molecular weights in kDa are indicated on the right.

Full size image

Protein identification by nano-LC-IT MS

The hAECS sample resolved by gel filtration chromatography and SDS-PAGE was divided into ten 0.5 cm gel slices, each of which was processed as described in the Methods. Fifty-five proteins were identified (Table 1). Among these were MUC1, MUC4, MUC5B, and MUC16 in the high molecular weight region (>250 kDa) of the acrylamide gel. While MUC5AC was not identified by proteome analysis, this mucin was readily detected by Western blotting of hAECS (Figure 3). The molecular (Figure 4) and biological (Figure 5) functions of the identified proteins were made using the Panther protein database search engine. According to molecular function analysis, most of the identified proteins were classified as regulatory molecules (20.0%), calcium binding proteins (16.4%), transfer/carrier proteins (10.9%), and defense/immunity-related proteins (10.9%). According to biological function analysis, the majority of the identified proteins belonged to the defense/immunity (32.7%), protein metabolism and modification (23.6%), and signal transduction (16.4%) categories. Based on a combined search of the published literature and the Panther protein database analysis, the identified proteins were grouped into 4 major functional subgroups, namely inflammatory, anti-inflammatory, anti-oxidant, and anti-microbial (Figure 6).

Table 1 Proteins identified in the V0 fraction of hAECS following SDS-PAGE.
Full size table
Figure 3
figure 3

MUC5AC Western blot analysis. Equal protein aliquots (100 μg) of lysates of NHBE cells, COS-7 cells (negative control), or hAECS from NHBE cells were resolved by agarose gel electrophoresis, transferred to PVDF membrane, and reacted with anti-MUC5AC antibody (45M1). The positions of MUC5AC and the 250 kDa marker protein are shown on the right.

Full size image
Figure 4
figure 4

Pie chart of molecular functions of proteins in high molecular weight hAECS identified by nano-LC-IT MS. Proteins are listed by category, number of proteins in the category and specific proteins identified.

Full size image
Figure 5
figure 5

Pie chart of biological functions of proteins in high molecular weight hAECS identified by nano-LC-IT MS. Proteins are listed by category, number of proteins in the category and specific proteins identified.

Full size image
Figure 6
figure 6

Categorization of proteins in high molecular weight hAECS identified by nano-LC-IT MS.

Full size image

Discussion

Among the 55 proteins that were identified in the high molecular weight fraction of hAECS from in vitro cultures of primary NHBE cells collected under physiological conditions, 43 (78.2%) were unique to this study and 12 (21.8%) were common to proteins identified in the mucin-rich apical secretions isolated under denaturing conditions by Kesimer et al. [19]. The shared proteins of the two studies are: MUC1, MUC4, MUC5B, MUC16, CD59, complement C3, clusterin, glutathione S-transferase, lactotransferrin, long palate, PLUNC (palate, lung and nasal epithelial clone) protein, LPLUNC1 (long PLUNC), and the polymeric immunoglobulin receptor. All of the proteins unique to our study comprise important inflammatory, anti-inflammatory, anti-microbial and/or anti-oxidant components that are elicited by the respiratory tract in response to exposure to infectious or injurious insults [21]. On the other hand, among the proteins that were identified by Kesimer et al. [19] but not in this study are alpha-defensin 1 and secretory leukocyte peptidase inhibitor (SLPI), both of which are thought to have broad-spectrum antibiotic activities [22].

While it is tempting to speculate that the proteins we identified may form a physiologically relevant association with mucins, it is important to emphasize that they may or may not be actively secreted by the cells, or may simply constitute membrane-bound proteins that passively adhere to the mucins, although other membrane components, such as lipids, were not identified. Further, given that the apical washings were dialyzed against distilled water, we cannot exclude the possibility that some of the identified polypeptides are intracellular proteins from sloughed cells and thus are not necessarily components of airway mucus. We also cannot rule out that our results may not reflect the proteome of in vivo airway lining fluid given the probable contributions of other cell types and blood-borne proteins that were not present in the NHBE cell cultures. However, the contribution of the cell culture media appears negligible since serum albumin, the most abundant protein in culture media, was not identified in the current analysis.

The presence of MUC1, MUC4, MUC5B, and MUC16 in in vitro hAECS confirms prior studies of mucin glycoprotein secretion by human and animal airway epithelial cell cultures [13–19]. Mucins constitute the main protein components of mucus and provide a multifaceted function to the mucosal surface from which they are produced, ranging from lubrication to cell signaling to forming protective physical barriers against chemical or biological damage [4–6]. But whether or not these functions are provided by mucins alone or in association with other proteins remains an unanswered question, which we and others [18, 19] have attempted to address. Specifically, several reports have promoted the concept that the association between mucins and other proteins plays a vital role in defense of the respiratory and gastrointestinal mucosa against microbial infections [23–25], including an early model put forth for mucin-protein interactions in lung mucus by Rose et al. [26].

The inability to identify MUC5AC mucin by proteomic analysis may have been due to insensitivity of the detection instrumentation, incomplete trypsin digestion, a relatively low abundance of this protein, and/or failure of TCA to precipitate MUC5AC. Other proteomic studies of hAECS collected from in vitro cell cultures have demonstrated that MUC5B is the predominant mucin with much lesser amounts of MUC5AC [19]. By microarray hybridization analysis, expression of MUC1 and MUC5B mucins, but not MUC5AC, were up-regulated during ALI culture of human bronchial epithelial cells [27]. Therefore, these or other technical artifacts are the most likely explanation for the current result given that MUC5AC was clearly present in the hAECS by Western blot analysis and the fact that our prior study identified human MUC5AC in the spent culture medium of A549 lung epithelial cells and rat Muc5ac in apical washings of primary tracheal epithelial cell cultures at an ALI [28].

The family of proteins identified in this study were categorized according to molecular and biological functions by Pather analysis. According to the original definitions of Gene Ontology by Ashburner et al. [29], molecular function is defined as the elemental activity of a gene product at the molecular level, such as binding or catalysis, while a biological function refers to the collected operations or sets of molecular events with a defined beginning and end, and pertinent to the functioning of integrated living units (cells, tissues, organs, and organisms). A biological function is accomplished via one or more ordered assemblies of molecular functions. In this study, the molecular functions associated with the greatest number of proteins that were identified in the high molecular weight fraction of the hAECS samples were regulatory (11 proteins), calcium binding (9 proteins), transfer/carrier (6 proteins), and defense/immunity (6 proteins). The biological functions associated with the greatest number of proteins were defense/immunity (18 proteins), protein metabolism and modification (11 proteins), and signal transduction (9 proteins). As noted above, some of these functions have been previously ascribed to airway mucins.

In addition, this collection of proteins could be further classified into inflammatory, anti-inflammatory, anti-oxidative, and anti-microbial categories based upon search of the published literature and molecular/biological function analyses. Some of the proteins fall into more than one category because they perform more than one function. For example, protease inhibitors may act both as inflammatory and anti-inflammatory components of mucus, depending upon the context of their expression [21]. Protease inhibitors that were identified in the present study were alpha-1-antichymotrypsin, alpha-2-macroglobulin, alpha-2-antiplasmin, inter-alpha-trypsin inhibitor heavy chain H2, pigment epithelium-derived factor, cystatin-B, and tissue inhibitor of metalloproteinase 1. Many of these proteins have been shown to regulate protease activities in various diseases that afflict airway epithelia [30–35].

The anti-oxidative proteins identified herein were ceruloplasmin, clusterin, glutathione S-transferase (GST), pigment epithelium-derived factor, peroxiredoxin 1 (Prdx1), lactate dehydrogenase, lactotransferrin, ubiquitin, and ubiquitin-conjugating enzyme E2 D2. Amongst these, GST and Prdx1 are probably the best characterized in the respiratory tract. GST provides redox balance in response to production of reactive oxygen species and has been reported to be involved in host defense in the lung [36]. The Prdx family of anti-oxidant enzymes reduces peroxides, lipid hydroperoxides and peroxynitrites, and the role of Prdx1 in airway inflammation has been reviewed [37]. Within the group of anti-microbial proteins, CD59 is involved in inflammatory signal transduction in T cells in response to pathogenic insults [38], while components of the complement system act as antibiotic components during host defense against bacteria that commonly infect the respiratory tract, including Pseudomonas aeruginosa, Klebsiella pneumoniae, and Streptococcus pneumoniae [39–41]. The palate, lung and nasal epithelial clone (PLUNC) family can be subdivided into short (SPLUNC) and long (LPLUNC) proteins [42]. In this classification, the original protein called PLUNC is now SPLUNC1, which is expressed in sub-mucosal glands of normal individuals and expression is increased in cystic fibrosis lungs, especially in the surface epithelia of the conducting airways. PLUNC was reported to protect the airway epithelial sodium channel (ENaC) from proteolytic cleavage, to prevent respiratory infections, and to inhibit lung allergic responses [43, 44]. Finally, the S100 series of Ca2+ binding proteins are highly expressed in neutrophils and monocytes [45, 46] and have been reported as anti-microbial agents against P. aeruginosa [47] as well as novel TLR ligands important in modulating inflammation [45, 48].

Conclusion

We identified 55 proteins that were present in the high molecular weight fraction of in vitro human airway epithelial cell apical secretions isolated under physiological conditions. Among the mucin gene products that were identified were MUC1, MUC4, MUC5B, and MUC16. By proteomic analysis, these proteins could be classified as inflammatory, anti-inflammatory, anti-oxidative, and/or anti-microbial. Given that the majority of these proteins in their monomeric form possess molecular weights far less than that selected for analysis, it is theoretically possible that they may associate with the highly sialylated and negatively charged mucins through ionic and hydrophobic interactions to form a highly ordered structural organization that may be important for maintaining the proper function of airway mucus.

Abbreviations

ALI:

air-liquid interface

ESI:

electrospray ionization

hAECS:

human airway epithelial cell secretion

kDa:

kiloDalton

MS:

mass spectrometry

Mol Wt:

molecular weight

MUC:

mucin

NHBE:

normal human bronchial epithelial

SDS-PAGE:

sodium dodecyl sulfate-polyacrylamide gel electrophoresis

References

  1. 1.

    Rose MC, Voynow JA: Respiratory tract mucin genes and mucin glycoproteins in health and disease. Physiol Rev 2006, 86: 245–278. 10.1152/physrev.00010.2005

    CAS  PubMed  Article  Google Scholar 

  2. 2.

    Adler KB, Li Y: Airway epithelium and mucus: intracellular signaling pathways for gene expression and secretion. Am J Respir Cell Mol Biol 2001, 25: 397–400.

    CAS  PubMed  Article  Google Scholar 

  3. 3.

    Voynow JA, Gendler SJ, Rose MC: Regulation of mucin genes in chronic inflammatory airway diseases. Am J Respir Cell Mol Biol 2006, 34: 661–665. 10.1165/rcmb.2006-0035SF

    CAS  PubMed  Article  Google Scholar 

  4. 4.

    Kim KC, Hisatsune A, Kim DJ, Miyata T: Pharmacology of airway goblet cell mucin release. J Pharmacol Sci 2003, 92: 301–307. 10.1254/jphs.92.301

    CAS  PubMed  Article  Google Scholar 

  5. 5.

    Kim KC, Jeffery PK: Airway mucus. Eur Respir J 1997, 10: 1438. 10.1183/09031936.97.10071438

    CAS  PubMed  Article  Google Scholar 

  6. 6.

    Kim KC, Lillehoj EP: MUC1 mucin: A peacemaker in the lung. Am J Respir Cell Mol Biol 2008, 39: 644–647. 10.1165/rcmb.2008-0169TR

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  7. 7.

    Kim KC, McCracken K, Lee BC, Shin CY, Jo MJ, Lee CJ, Ko KH: Airway goblet cell mucin: Its structure and regulation of secretion. Eur Respir J 1997, 10: 2644–2649. 1997 10.1183/09031936.97.10112644

    CAS  PubMed  Article  Google Scholar 

  8. 8.

    Moniaux N, Escande F, Porchet N, Aubert JP, Batra SK: Structural organization and classification of the human mucin genes. Front Biosci 2001, 6: D1192-D1206. 10.2741/Moniaux

    CAS  PubMed  Article  Google Scholar 

  9. 9.

    Rose MC, Nickola TJ, Voynow JA: Airway mucus obstruction: Mucin glycoproteins, MUC gene regulation and goblet cell hyperplasia. Am J Respir Cell Mol Biol 2001, 25: 533–537.

    CAS  PubMed  Article  Google Scholar 

  10. 10.

    Sommerhoff CP, Finkbeiner WE: Human tracheobronchial submucosal gland cells in culture. Am J Respir Cell Mol Biol 1990, 2: 41–50.

    CAS  PubMed  Article  Google Scholar 

  11. 11.

    Merten MD, Tournier JM, Meckler Y, Figarella C: Secretory proteins and glycoconjugates synthesized by human tracheal gland cells in culture. Am J Respir Cell Mol Biol 1992, 7: 598–605.

    CAS  PubMed  Article  Google Scholar 

  12. 12.

    Chopra DP, Reddy L, Gupta SK, Wan L, Mathieu PA, Shoemaker RL, Rhim JS: Differentiation of immortalized epithelial cells derived from cystic fibrosis airway submucosal glands. In Vitro Cell Dev Biol Anim 1994, 30A: 539–546. 10.1007/BF02631327

    CAS  PubMed  Article  Google Scholar 

  13. 13.

    Kim KC: Possible requirement of collagen gel substratum for production of mucin-like glycoproteins by primary rabbit tracheal epithelial cells in culture. In Vitro 1985, 21: 617–621.

    CAS  Google Scholar 

  14. 14.

    Kim KC, Rearick JI, Nettesheim P, Jetten AM: Biochemical characterization of mucous glycoproteins synthesized and secreted by hamster tracheal epithelial cells in primary culture. J Biol Chem 1985, 260: 4021–4027.

    CAS  PubMed  Google Scholar 

  15. 15.

    Kim KC: Mucin-like glycoproteins secreted from cultured hamster tracheal surface epithelial cells: Their hydrophobic nature and amino acid composition. Exp Lung Res 1991, 17: 65–76. 10.3109/01902149109063282

    CAS  PubMed  Article  Google Scholar 

  16. 16.

    Adler KB, Winn WC Jr, Alberghini TV, Craighead JE: Stimulatory effect of Pseudomonas aeruginosa on mucin secretion by the respiratory epithelium. JAMA 1983, 249: 1615–1617. 10.1001/jama.249.12.1615

    CAS  PubMed  Article  Google Scholar 

  17. 17.

    Wu R, Martin WR, Robinson CB, St George JA, Plopper CG, Kurland G, Last JA, Cross CE, McDonald RJ, Boucher R: Expression of mucin synthesis and secretion in human tracheobronchial epithelial cells grown in culture. Am J Respir Cell Mol Biol 1990, 3: 467–478.

    CAS  PubMed  Article  Google Scholar 

  18. 18.

    Candiano G, Bruschi M, Pedemonte N, Musante L, Ravazzolo R, Liberatori S, Bini L, Galietta LJ, Zegarra-Moran O: Proteomic analysis of the airway surface liquid: Modulation by proinflammatory cytokines. Am J Physiol Lung Cell Mol Physiol 2007, 292: L185-L198. 10.1152/ajplung.00085.2006

    CAS  PubMed  Article  Google Scholar 

  19. 19.

    Kesimer M, Kirkham S, Pickles RJ, Henderson AG, Alexis NE, Demaria G, Knight D, Thornton DJ, Sheehan JK: Tracheobronchial air-liquid interface cell culture: A model for innate mucosal defense of the upper airways? Am J Physiol Lung Cell Mol Physiol 2009, 296: L92-L100. 10.1152/ajplung.90388.2008

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  20. 20.

    Thomas PD, Campbell MJ, Kejariwal A, Mi H, Karlak B, Daverman R, Diemer K, Muruganujan A, Narechania A: PANTHER: A library of protein families and subfamilies indexed by function. Genome Res 2003, 13: 2129–2141. 10.1101/gr.772403

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  21. 21.

    Ohlsson K, Sveger T, Svenningsen N: Protease inhibitors in bronchoalveolar lavage fluid from neonates with special reference to secretory leukocyte protease inhibitor. Acta Paediatr 1992, 81: 757–759. 10.1111/j.1651-2227.1992.tb12097.x

    CAS  PubMed  Article  Google Scholar 

  22. 22.

    Hiemstra PS, Maassen RJ, Stolk J, Heinzel-Wieland R, Steffens GJ, Dijkman JH: Antibacterial activity of antileukoprotease. Infect Immun 1996, 64: 4520–4524.

    CAS  PubMed Central  PubMed  Google Scholar 

  23. 23.

    Lamblin G, Roussel P: Airway mucins and their role in defence against micro-organisms. Respir Med 1993, 87: 421–426. 10.1016/0954-6111(93)90067-A

    CAS  PubMed  Article  Google Scholar 

  24. 24.

    Boat TF, Cheng PW: Epithelial cell dysfunction in cystic fibrosis: Implications for airways disease. Acta Paediatr Scand Suppl 1989, 363: 25–29.

    CAS  PubMed  Google Scholar 

  25. 25.

    Forstner G, Wesley A, Forstner J: Clinical aspects of gastrointestinal mucus. Adv Exp Med Biol 1982, 144: 199–224.

    CAS  PubMed  Article  Google Scholar 

  26. 26.

    Rose MC, Lynn WS, Kaufman B: Resolution of the major components of human lung mucosal gel and their capabilities for reaggregation and gel formation. Biochemistry 1979, 184: 4030–4037. 10.1021/bi00585a029

    Article  Google Scholar 

  27. 27.

    Ross AJ, Dailey LA, Brighton LE, Devlin RB: Transcriptional profiling of mucociliary differentiation in human airway epithelial cells. Am J Respir Cell Mol Biol 2007, 37: 169–185. 10.1165/rcmb.2006-0466OC

    CAS  PubMed  Article  Google Scholar 

  28. 28.

    Lu W, Lillehoj EP, Kim KC: Effects of dexamethasone on Muc5ac mucin production by primary airway goblet cells. Am J Physiol Lung Cell Mol Physiol 2005, 288: L52-L60. 10.1152/ajplung.00104.2004

    CAS  PubMed  Article  Google Scholar 

  29. 29.

    Ashburner M, Ball CA, Blake JA, Botstein D, Butler H, Cherry JM, Davis AP, Dolinski K, Dwight SS, Eppig JT, Harris MA, Hill DP, Issel-Tarver L, Kasarskis A, Lewis S, Matese JC, Richardson JE, Ringwald M, Rubin GM, Sherlock G: Gene ontology: Tool for the unification of biology. The Gene Ontology Consortium. Nat Genet 2000, 25: 25–29. 10.1038/75556

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  30. 30.

    Poller W, Faber JP, Weidinger S, Tief K, Scholz S, Fischer M, Olek K, Kirchgesser M, Heidtmann HH: A leucine-to-proline substitution causes a defective alpha 1-antichymotrypsin allele associated with familial obstructive lung disease. Genomics 1993, 17: 740–743. 10.1006/geno.1993.1396

    CAS  PubMed  Article  Google Scholar 

  31. 31.

    Lindmark BE, Arborelius M Jr, Eriksson SG: Pulmonary function in middle-aged women with heterozygous deficiency of the serine protease inhibitor alpha 1-antichymotrypsin. Am Rev Respir Dis 1990, 141: 884–888.

    CAS  PubMed  Article  Google Scholar 

  32. 32.

    Bless NM, Smith D, Charlton J, Czermak BJ, Schmal H, Friedl HP, Ward PA: Protective effects of an aptamer inhibitor of neutrophil elastase in lung inflammatory injury. Curr Biol 1997, 7: 877–880. 10.1016/S0960-9822(06)00376-9

    CAS  PubMed  Article  Google Scholar 

  33. 33.

    Khalil N, Corne S, Whitman C, Yacyshyn H: Plasmin regulates the activation of cell-associated latent TGF-β1 secreted by rat alveolar macrophages after in vivo bleomycin injury. Am J Respir Cell Mol Biol 1996, 15: 252–259.

    CAS  PubMed  Article  Google Scholar 

  34. 34.

    Buttle DJ, Burnett D, Abrahamson M: Levels of neutrophil elastase and cathepsin B activities, and cystatins in human sputum: Relationship to inflammation. Scand J Clin Lab Invest 1990, 50: 509–516. 10.3109/00365519009089165

    CAS  PubMed  Article  Google Scholar 

  35. 35.

    Sands MF, Ohtake PJ, Mahajan SD, Takyar SS, Aalinkeel R, Fang YV, Blume JW, Mullan BA, Sykes DE, Lachina S, Knight PR, Schwartz SA: Tissue inhibitor of metalloproteinase-1 modulates allergic lung inflammation in murine asthma. Clin Immunol 2009, 130: 186–198. 10.1016/j.clim.2008.08.029

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  36. 36.

    Morrison RJ, Singhal SS, Bidani A, Heming TA, Awasthi S: Glutathione S-transferases of rabbit lung macrophages. Toxicol Appl Pharmacol 1998, 148: 229–236. 10.1006/taap.1997.8339

    CAS  PubMed  Article  Google Scholar 

  37. 37.

    Rhee SG, Chae HZ, Kim K: Peroxiredoxins: A historical overview and speculative preview of novel mechanisms and emerging concepts in cell signaling. Free Radic Biol Med 2005, 38: 1543–1552. 10.1016/j.freeradbiomed.2005.02.026

    CAS  PubMed  Article  Google Scholar 

  38. 38.

    Longhi MP, Williams A, Wise M, Morgan BP, Gallimore A: CD59a deficiency exacerbates influenza-induced lung inflammation through complement-dependent and -independent mechanisms. Eur J Immunol 2007, 37: 1266–1274. 10.1002/eji.200636755

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  39. 39.

    Mueller-Ortiz SL, Drouin SM, Wetsel RA: The alternative activation pathway and complement component C3 are critical for a protective immune response against Pseudomonas aeruginosa in a murine model of pneumonia. Infect Immun 2004, 72: 2899–906. 10.1128/IAI.72.5.2899-2906.2004

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  40. 40.

    de Astorza B, Cortés G, Crespí C, Saus C, Rojo JM, Albertí S: C3 promotes clearance of Klebsiella pneumoniae by A549 epithelial cells. Infect Immun 2004, 72: 1767–1774. 10.1128/IAI.72.3.1767-1774.2004

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  41. 41.

    Kerr AR, Paterson GK, Riboldi-Tunnicliffe A, Mitchell TJ: Innate immune defense against pneumococcal pneumonia requires pulmonary complement component C3. Infect Immun 2005, 73: 4245–4252. 10.1128/IAI.73.7.4245-4252.2005

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  42. 42.

    Rollins BM, Garcia-Caballero A, Stutts MJ, Tarran R: SPLUNC1 expression reduces surface levels of the epithelial sodium channel (ENaC) in Xenopus laevis oocytes. Channels (Austin) 2010, 4: 255–259.

    CAS  Article  Google Scholar 

  43. 43.

    Garcia-Caballero A, Rasmussen JE, Gaillard E, Watson MJ, Olsen JC, Donaldson SH, Stutts MJ, Tarran R: SPLUNC1 regulates airway surface liquid volume by protecting ENaC from proteolytic cleavage. Proc Natl Acad Sci USA 2009, 106: 11412–11417. 10.1073/pnas.0903609106

    CAS  PubMed Central  PubMed  Article  Google Scholar 

  44. 44.

    Chu HW, Thaikoottathil J, Rino JG, Zhang G, Wu Q, Moss T, Refaeli Y, Bowler R, Wenzel SE, Chen Z, Zdunek J, Breed R, Young R, Allaire E, Martin RJ: Function and regulation of SPLUNC1 protein in Mycoplasma infection and allergic inflammation. J Immunol 2007, 179: 3995–4002.

    CAS  PubMed  Article  Google Scholar 

  45. 45.

    Soyfoo MS, Roth J, Vogl T, Pochet R, Decaux G: Phagocyte-specific S100A8/A9 protein levels during disease exacerbations and infections in systemic lupus erythematosus. J Rheumatol 2009, 36: 2190–2194. 10.3899/jrheum.081302

    CAS  PubMed  Article  Google Scholar 

  46. 46.

    Wittkowski H, Sturrock A, van Zoelen MA, Viemann D, van der Poll T, Hoidal JR, Roth J, Foell D: Neutrophil-derived S100A12 in acute lung injury and respiratory distress syndrome. Crit Care Med 2007, 35: 1369–1375. 10.1097/01.CCM.0000262386.32287.29

    PubMed  Article  Google Scholar 

  47. 47.

    Bastonero S, Le Priol Y, Armand M, Bernard CS, Reynaud-Gaubert M, Olive D, Parzy D, de Bentzmann S, Capo C, Mege JL: New microbicidal functions of tracheal glands: defective anti-infectious response to Pseudomonas aeruginosa in cystic fibrosis. PLoS One 2009, 4: e5357. 10.1371/journal.pone.0005357

    PubMed Central  PubMed  Article  Google Scholar 

  48. 48.

    Foell D, Wittkowski H, Vogl T, Roth J: S100 proteins expressed in phagocytes: A novel group of damage-associated molecular pattern molecules. J Leukoc Biol 2007, 81: 28–37. 10.1189/jlb.0306170

    CAS  PubMed  Article  Google Scholar 

Download references

Acknowledgements

This work was supported by U.S. Public Health Service grants HL-47125 and HL-81825.

Author information

Author notes

    Affiliations

    1. Department of Physiology and Lung Center, Temple University School of Medicine, Philadelphia, PA, USA

      Mehboob Ali, Yongsung Park, Yoshiyuki Kyo & K Chul Kim

    2. Department of Pediatrics, University of Maryland School of Medicine, Baltimore, MD, USA

      Erik P Lillehoj

    3. Department of Pharmacology and Experimental Therapeutics, Thomas Jefferson University, 1020 Locust Street, JAH 364, Philadelphia, PA, 19107, USA

      Mehboob Ali

    Authors
    1. Mehboob Ali
      View author publications

      You can also search for this author in PubMed Google Scholar

    2. Erik P Lillehoj
      View author publications

      You can also search for this author in PubMed Google Scholar

    3. Yongsung Park
      View author publications

      You can also search for this author in PubMed Google Scholar

    4. Yoshiyuki Kyo
      View author publications

      You can also search for this author in PubMed Google Scholar

    5. K Chul Kim
      View author publications

      You can also search for this author in PubMed Google Scholar

    Corresponding author

    Correspondence to K Chul Kim.

    Additional information

    Competing interests

    The authors declare that they have no competing interests.

    Authors' contributions

    MA carried out the proteomic analysis and drafted the manuscript. EPL conducted preliminary experiments and wrote the final manuscript. YP and YH performed the cell culture and prepared the samples. KCK conceived of the study, obtained grant funding, and participated in experimental design and coordination. All authors read and approved the final manuscript.

    Mehboob Ali, Erik P Lillehoj contributed equally to this work.

    Authors’ original submitted files for images

    Rights and permissions

    Open Access This article is published under license to BioMed Central Ltd. This is an Open Access article is distributed under the terms of the Creative Commons Attribution License ( https://creativecommons.org/licenses/by/2.0 ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

    Reprints and Permissions

    About this article

    Cite this article

    Ali, M., Lillehoj, E.P., Park, Y. et al. Analysis of the proteome of human airway epithelial secretions. Proteome Sci 9, 4 (2011). https://doi.org/10.1186/1477-5956-9-4

    Download citation

    • Received:

    • Accepted:

    • Published:

    • DOI: https://doi.org/10.1186/1477-5956-9-4

    Keywords

    • Airway Epithelial Cell
    • Secretory Leukocyte Peptidase Inhibitor
    • Normal Human Bronchial Epithelial
    • Normal Human Bronchial Epithelial Cell
    • High Molecular Weight Fraction

    Proteome Science

    ISSN: 1477-5956