Literature DB >> 26701646

Dog Tear Film Proteome In-Depth Analysis.

Mateusz Winiarczyk1, Dagmara Winiarczyk2, Tomasz Banach3, Lukasz Adaszek3, Jacek Madany2, Jerzy Mackiewicz1, Dorota Pietras-Ozga3, Stanislaw Winiarczyk3.   

Abstract

In this study, mass spectrometry was used to explore the canine tear proteome. Tear samples were obtained from six healthy dogs, and one-dimensional sodium dodecyl sulphate polyacrylamide gel electrophoresis (1D SDS-PAGE) was used as a first step to separate intact proteins into 17 bands. Each fraction was then trypsin digested and analysed by matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry (MALDI-TOF-MS/MS) to characterize the protein components in each fraction. In total, 125 tear proteins were identified, with MCA (Major Canine Allergen), Serum albumin, UPF0557 protein C10orf119 homolog, Collagen alpha-2(I) chain, Tyrosine -protein kinase Fer, Keratine type II cytoskeletal, Beta-crystallin B2, Interleukin-6 and Desmin occurring as the most confident ones with the highest scores. The results showed that the proteomic strategy used in this study was successful in the analysis of the dog tear proteome. To the best of our knowledge, this study is the first to report the comprehensive proteome profile of tears from healthy dogs by 1D SDS PAGE and MALDI-TOF. Data are available via ProteomeXchange with identifier PXD003124.

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Year:  2015        PMID: 26701646      PMCID: PMC4689550          DOI: 10.1371/journal.pone.0144242

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.240


Introduction

Proteome is a set of proteins expressed in a given time by a given tissue. Its name comes from a blend of proteins and genome. Proteomic analysis has become an important tool in biomedical and veterinary research [1,2,3]. The tear film covering the surface of the eye is a complex body fluid containing thousands of molecules with different structures and functions [3-7]. A molecular analysis of tear film composition is a useful source of information for the diagnosis, prognosis and treatment of diseases of the eye, as well as systemic diseases in humans [8-11]. In addition to its clinical utility, the identification of biomarkers in tear film may be useful in developing new pharmacologically active molecules and diagnostic tests [12-14]. Currently, few publications in the proteomics literature have evaluated the tear film of animals, especially dogs can be of particular interest, as they live in the same conditions and often suffer from diseases of similar aetiopathogenesis [15-17]. Despite well-developed veterinary ophthalmology research concerning dogs, reports on molecular studies of the tear film remains sparse, and in-depth analyses of the protein composition of normal tear film is lacking. Most of the information related to protein profiles was obtained using less-accurate analytical methods [18]. Therefore, a systematic study applying the most advanced proteomic technology should begin with an analysis of the normal tear film protein profile of healthy subjects. This project introduces population studies to determine the correct levels of important tear film proteins in healthy individuals similar to that of haematological standards. The aim of this study was to examine the proteome profile of dog tear samples through one-dimensional sodium dodecyl sulphate polyacrylamide gel electrophoresis (1D SDS-PAGE) in combination with matrix-assisted laser desorption/ionization time-of-flight tandem mass spectrometry (MALDI-TOF-MS/MS).

Materials and Methods

Tear samples were collected from 6 healthy dogs using a special standard Schirmer’s strip without local anaesthesia. Dogs of various breeds (2 German Shepherds, 1 Doberman, 1 Labrador and 2 mixed breeds) with ages ranging from 2 to 6 years were enrolled during routine admissions to clinics of the Faculty of Veterinary Medicine at the University of Life Sciences in Lublin. Informed consent was obtained from the owners prior to the clinical investigations and sample collection. Every animal used in this study was submitted to a comprehensive ophthalmic examination (anterior segment and fundus evaluation with introcular pressure measurement). Animals included in the study did not exhibit any ocular signs of disease. The exclusion criteria included the presence or history of any systemic or ocular disorder or condition (including ocular surgery, trauma, and disease) that could possibly interfere with the interpretation of the results. The current or recent use of topical ophthalmic or systemic medications that could affect tear status was also grounds for exclusion from this study. The results from blood-cell counts, sera biochemistry and urinalyses oscillated within the normal range. After collection, the Schirmer’s strips were placed in elution buffer consisting of 50 mM phosphate-buffered saline (PBS) with protease inhibitors at 4°C for a maximum of 20 h. The total protein concentration was determined by Bradford’s method at a wavelength of 280 nm (Picodrop, Cambridge, UK). The resulting protein solution was concentrated using SpeedVac at -4°C to a final protein concentration of 60 μg/10 μl.

Electrophoresis

The protein samples were reduced in dithiothreitol (DTT) (Invitrogen, Carlsbad, CA, USA, cat. no. NP0004), and after mixing with loading buffer (Invitrogen, cat. no. NP0007) and heating to 70°C for 10 minutes, each sample containing 60 μg protein was loaded into a well and subjected to SDS-PAGE analysis using commercial 12% polyacrylamide gel (Invitrogen, NuPAGE® Novex® 12% Bis-Tris). Samples were electrophoresed at 150 V/50 mA/7.5 W until the stain reached 0.5 cm from the edge of the gel. Standard molecular weight markers ranging from 7.1 kDa to 209 kDa were run at the same time. Protein bands were detected by Coomassie Colloidal Blue staining according to the manufacturer’s protocol (Novex, cat. no. LC 6025). In the next step, the lanes were divided into 17 bands, which were excised (Fig 1). Bands of the same molecular mass originating from 6 individual dogs were pooled. The bands that were cut from the 1D gel underwent washing followed by reduction and alkylation using DTT and iodoacetamide. Digestion with trypsin occurred in 50 mM ammonium bicarbonate buffer at 37°C for 12 hours (Promega, Trypsin Gold, Mass Spectrometry Grade, Technical Bulletin). The obtained peptides were sequentially eluted from the gel using a solution of 5%, 10%, 15%, 20%, 25%, 30%, 35%, 40%, 45%, 50% acetonitrile in 5% trifluoroacetic acid (TFA) (v/v). The extracted peptides were purified using μ C18 Zip-TIP pipette tips in accordance with the manufacturer's procedure (Merck Chemicals, Billerica, MA, USA, PR 02358, Technical Note) and applied to the plate MTP AnchorChip 384 (Bruker, Bremen, Germany).
Fig 1

1D SDS–PAGE of Coomassie-stained proteins.

Lanes 1–6 are 20 μg of total tear film protein from individual dogs precipitated from tear film collected by a Schirmer strip. Lane 7 is the molecular weight marker.

1D SDS–PAGE of Coomassie-stained proteins.

Lanes 1–6 are 20 μg of total tear film protein from individual dogs precipitated from tear film collected by a Schirmer strip. Lane 7 is the molecular weight marker.

Mass spectrometry

MALDI was used as a soft ionization method because it only produces a charge and does not cause fragmentation of the analysed compound. The experiment was conducted in an ultrafleXtreme (Bruker) machine with a TOF/TOF detector to guarantee high accuracy and resolution of the measurements. All of the spectra were collected within the 800–3500 Da range in the active reflection mode, and this mass range was used to acquire the MS/MS spectra. HCCA (alpha-cyano-4-hydroxycinnamic acid, portioned; Bruker) was used as the matrix in the dried droplet method (0.5 μl sample + 0.5 μl matrix) following the standard manufacturer’s protocol for peptide analysis. An MTP AnchorChip 384 (Bruker) with hydrophilic spots was used as the holder for sample preparation. Each sample was spotted onto 3 different active spots, and the profiled spectra were calibrated using the peptide mixture Peptide Calibration Standard I (Bruker). The flexControl program 3.3 (version 108) was used for mass spectra collection, flexAnalysis 3.3 (version 80) was used for analysis, and finally, SwissProt database was searched using the software BioTools 3.2 (version 4.48). All spectra were systematically processed as follows: smoothing was performed by the Savitsky-Golay method; baseline subtraction was performed by the Top Hat baseline algorithm; peak geometry was characterized by the Stanford Network Analysis Platform (SNAP) algorithm; and all peaks with a signal ratio above 4 were qualified for further analysis. The parameters for the Mascot database search were as follows: errors in both MS and MS/MS mode at 0.3 Da [19]; global modification of carbamidomethyl (C); possible modification and oxidation (M) [20]; partials at 1; and trypsin enzyme. Spectra with peptide matches above 5 peaks were considered statistically significant, and only 5 proteins were identified with a single peptide match. All of the peptide mass fingerprint spectra were analysed again in MS/MS mode to confirm their exact amino acid sequence.

Results and Discussion

For over two decades tear film has become an intesivly investigated material due to its assets, like ease to obtain and handle, unlike the other body fluids, ie plasma. The greatest limitation is yet to be the small volume of sample, and low protein concentration. In veterinary field, Hemsley et al were one of the first to investigate tear film for certain proteins, and succeded to find 6 reproducible HPLC protein peaks in dogs, coming to conclusion that they do not correspond in all respects to human tears [18]. With the development of the proteomic approaches like MALDI-TOF, new opportunities arised [21]. De Freitas et al. performed 2-D electrophoresis analysis combined with MALDI-TOF protein identification to find potential cancer biomarkers in dog tear film. They identified some most abundant proteins like MAC, and pointed at albumin and actin elevated levels in dogs with cancer [16]. However there has been no exact identification of each protein present in the electrophoresis, and the samples were collected using microcapillaries, contrary to our Schirmer strips which has been proved to provide more proteins into analysis [22]. Differences with human proteome, similar to those described by de Freitas, like absence of zinc-alpha-2-glycoprotein, were also observed in our study. MS has become the detection method of choice in proteomics analysis. The majority of studies use a bottom-up approach in which proteins are proteolytically digested into peptides and then subjected to multidimensional protein identification technology. Acquired MS (peptide masses) and MS/MS (sequence information) spectra are used to identify the corresponding proteins via database search algorithms [14]. Based on this proteomics approach, normal human tear fluid was observed to contain almost 500 proteins, although the recent work of Zhou et al. reported that the total number of proteins can reach over 1500 [21]. In our study, we separated intact tear proteins by 1D SDS-PAGE prior to detection using the MALDI-TOF technique. A total protein amount of 60 μg was loaded in each lane of the gel to standardize the sample and ensure that the differences noted in the gel patterns were caused by differences in the presence/absence of proteins rather than other reasons. From the 17 bands, a total of 125 distinct/unique proteins were identified (Tables 1 and 2). Several proteins were observed multiple times in different molecular weight regions of the gel. For example, desmin has a molecular weight of 53 kDa, but it was also observed in bands 15, 16 and 17 between approximately 140 and 210 kDa. Such multiple appearances most likely represent posttranslational modifications or the formation of homopolymers (e.g., dimers, trimers, and multimers of a protein) of lower molecular weight proteins, although they could also represent protein complexes that were not denatured. Higher molecular weight proteins were also observed at lower molecular weight regions in the gel; for example, the collagen alpha-2(I) chain was observed in band 13 at approximately 80 kDa, which might have resulted from protein degradation caused by storage or tear proteases. The human tear protein profile revealed similar variation when analysed by fractionation in 1D electrophoresis or high-performance liquid chromatography (HPLC) in combination with MS [22,23]. Studies of tear film proteins among domestic animals have also shown significant variations [24,25]. Therefore, the accurate and sensitive characterization of tear components in individual species to establish normal tear profiles is crucial for interpreting disease-induced changes, and characterising differences between normal and diseased animals should enhance our understanding of host responses to numerous agents and improve diagnoses, treatments and prognoses. To the best of our knowledge, this study is the first to report the comprehensive proteome profile of tear film from healthy dogs based on 1D SDS-PAGE and MALDI-TOF. In Table 1, we present 125 identified proteins, including the accession number, score, peptide matches, gene name, molecular function and biological process. Certain proteins are described as unclassified because of a lack of information or multiplicity of function. The proteins identified here were classified using the Uniprot.org database according to biological processes and molecular functions. Several abundant tear proteins, such as MCA (Major Canine Allergen), Serum albumin, UPF0557 protein C10orf119 homolog, Collagen alpha-2(I) chain, Tyrosine -protein kinase Fer, Keratine type II cytoskeletal, Beta-crystallin B2, Interleukin-6 and Desmin, as the most confident ones with the highest scores were observed. Some of them hold potential to be used in future as a biomarkers for given diseases, i.e serum albumin in tears is usually weakly expressed, but in human patients with cancer it tends to be highly elevated due to the plasma leakage. One of the most important biological functions of tear proteins is its antimicrobial activity against pathogens because the ocular surface is constantly exposed to the environment [14]. This function is reflected by the substantial representation of immune response proteins, such as cytokines, hydrolases, lysozyme and IgG heavy chains, and a number of these proteins, such as IgG, may be involved in microorganism aggregation rather than death or inhibition. According to Zhou at al., there are top four, well-known human tear film proteins: lysozyme, lactoferrin, secretory IgA and lipocalin [21]. Interestingly, apart from proteins such as lysozyme or serum albumin, many proteins are similar in dogs and humans, including MAC, a main protein found in dog tear film that is most likely analogous to lipocalin, which is found in human tears. However in our study there has been neither presence of sIgA nor lactoferrin in dog tear film. Nevertheless, a number of other proteins are similar or identical in both tear films, like scavenger receptor cysteine-rich type 1 protein M130, which appears to be involved in pattern recognition receptors (PRRs) in humans. All in all, we have revealed that 25 out of 125 proteins identified in our study are common for dogs and humans (Table 3)
Table 1

Summary of protein identification.

No. Protein Accession no.ScoreMatchesGene nameMolecular functionBiological process
1 Tuftelin-interacting protein 11 Q29RR53512TFIP11DNA bindingmRNA processing
2 Selenocysteine insertion sequence-binding protein 2-like Q93073344SECISBP2LRNA bindingunclassified
3 Visual system homeobox 2 P58304516VSX2DNA bindingtranscription
4 Tensin-1 Q9HBL06111TNS1RNA bindingunclassified
5 Zinc finger protein 780A O75290344ZNF780ADNA bindingtranscription
6 Putative homeodomain transcription factor 1 Q9UMS5325PHTF1DNA bindingtranscription
7 Transcription factor TFIIIB component B'' homologue A6H8Y14014BDP1DNA bindingtranscription
8 Hepatoma-derived growth factor Q8VHK7375HdgfDNA bindingtranscription
9 Metastasis-associated protein MTA3 Q924K8329Mta3DNA bindingcell cycle
10 Nuclear protein 14 Q8R3N13313Nop14RNA bindingrRNA processing
11 Zinc finger protein 582 Q96NG8349ZNF582DNA bindingtranscription
12 Zinc finger protein 2 P08043616Zfp2DNA bindingtranscription
13 Eukaryotic translation initiation factor 3 subunit H Q91WK2547Eif3hRNA bindingprotein biosynthesis
14 78 kDa glucose-regulated protein//Heat shock 70 kDa protein 5 Q0VCX26210HSPA5nucleotide bindingunclassified
15 Splicing factor, proline- and glutamine-rich P23246374SFPQnucleotide bindingunclassified
16 Putative fidgetin-like protein 2 A6NMB9414FIGNL2nucleotide bindingunclassified
17 UPF0557 protein C10orf119 homolog A5PJM55110MCMBPchromatin bindingcell cycle
18 Guanine nucleotide-binding protein G(t) subunit alpha-2 P38400305GNAI2transducercell cycle
19 Protein Spindly Q08DR95413SPDL1kinetochore bindingcell cycle
20 Cell division cycle protein 27 homolog P30260417CDC27phosphatase bindingcell cycle
21 Kinesin-like protein KIF11 P52732559KIF11motor proteincell cycle
22 Parafibromin Q6P1J9445CDC73RNA polymerase bindingcell cycle
23 G2/mitotic-specific cyclin-B3 Q659K0195CCNB3cyclinecell cycle
24 Transcription factor 4 P15881284TCF4activatortranscription
25 Cysteinyl-tRNA synthetase, cytoplasmic//Cysteine—tRNA ligase, cytoplasmic Q9ER7238 MS/MS10Carsligaseprotein biosynthesis
26 Pinin P79149304PNNactivatortranscription
27 C-C motif chemokine 25 Q68A93474CCL25cytokineinflammatory response
28 Interleukin-18 Q9XSR0273IL18cytokineimmune response
29 Interleukin-12 subunit alpha Q28267414IL12Acytokineimmune response
30 Interleukin-1 family member 8//Interleukin-36 beta Q9NZH7464IL36Bcytokineimmune response
31 Interleukin-6 P79341797IL6cytokineimmune response
32 Ig heavy chain V-II region COR P01815373N/Aantigen bindingimmune response
33 Scavenger receptor cysteine-rich type 1 protein M130 Q2VLG6235CD163scavenger receptorinflammatory response
34 Ig heavy chain V region GOM P0178423 MS/MS1N/Aantigen bindingunclassified
35 Zinc finger BED domain-containing protein 5 A4Z944336ZBED5DNA and metal ion bindingunclassified
36 Desmoglein-1 Q9GKQ8315DSG1ion bindingcell adhesion
37 Calcium uptake protein 1, mitochondrial Q8VCX5487Micu1ion bindingcalcium transport
38 Cysteine and glycine-rich protein 2 Q32LE9495CSRP2ion bindingdifferentiation
39 Alpha-fetoprotein Q8MJU5253AFPion bindingtransport
40 Ankyrin repeat domain-containing protein 5//Ankyrin repeat and EF-hand domain-containing protein 1 Q9NU02425ANKEF1ion bindingunclassified
41 Zinc finger UFM1-specific peptidase domain protein Q3T9Z9507Zufspion bindingunclassified
42 N-acetylglucosamine-1-phosphotransferase subunits alpha/beta P60529Protein autopho4HBAoxygen bindingoxygen transport
43 Haemoglobin subunit gamma P02099606HBGoxygen bindingtransport
44 Myosin-Ic Q63355566Myo1cmotor activitytransport
45 Drebrin-like protein Q9UJU6486DBNLactin bindingtransport
46 Serum albumin P49822609ALBtransport/carrier proteinunclassified
47 Major allergen Can f 1 O1887395, 200 MS/MS8N/Atransport proteinunclassified
48 Gastrin/cholecystokinin type B receptor F1Q0L4403CCKBRgastrin receptorunclassified
49 Growth hormone receptor Q9TU69254GHRreceptorendocytosis
50 Transferrin receptor protein Q9GLD3368TFRCreceptorendocytosis
51 Gastrin-releasing peptide receptor P3055015 MS/MS1GRPRreceptorcell proliferation
52 Desmin Q5XFN2874DESmuscle proteincell structure
53 Beta-crystallin B2 P02522766CRYBB2eye lens proteincell structure
54 Keratin, type I microfibrillar 48kDa, component 8C-1 P02534528N/Astructuralcell structure
55 Collagen alpha-2(I) chain O463925810COL1A2matrix proteincell structure
56 Adipocytes plasma membrane-associated protein Q3T0E5555APMAPstructuralmembrane protein
57 DnaJ homologue subfamily member 18 Q5EA26547DNAJC18structuralmembrane protein
58 Keratin, type II cytoskeletal 8 Q28810374KRT8structuralcell structure
59 Keratin, type I cytoskeletal 9 P3552711517KRT9structuralcell structure
60 Myosin-binding protein C cardiac-type O704684313Mybpc3structuralcell structure
61 Collagen alpha-2(IV) chain P08122396Col4a2matrix proteinangiogenesis
62 Arylsulfatase K Q32KH0355ARSKhydrolaseunclassified
63 Glycogen debranching enzyme Q2PQH8259AGLhydrolaseglycogen biosynthesis
64 Cystic fibrosis transmembrane conductance regulator Q5U820297CFTRhydrolaseion transport
65 Lysozyme C, spleen isozyme P81709323N/Ahydrolaseantimicrobial
66 Coagulation factor IX P19540335F9hydrolasehaemostasis
67 Proteasome subunit beta type-3 P33672546PSMB3hydrolaseunclassified
68 Endonuclease 8-like 3 Q6IE775710NEIL2hydrolaseDNA repair
69 Gamma-glutamyl hydrolase A7YWG4306GGHhydrolaseunclassified
70 Multidrug resistance-associated protein 1 Q6UR053111ABCC1hydrolasetransport
71 Ubiquitin carboxyl-terminal hydrolase 15 Q9Y4E8326USP15hydrolasetranscription
72 6-phosphofructo-2-kinase/fructose-2,6-biphosphatase 2 O60825455PFKFB12hydrolaseunclassified
73 Probable ATP-dependent RNA helicase DDX58 Q9GLV64310DDX58hydrolaseimmune response
74 ATP-dependent RNA helicase DDX3X O005714010DDX3Xhydrolaseunclassified
75 Endonuclease 8-like 3 Q3MHN75710NEIL3hydrolaseDNA repair
76 Werner syndrome ATP-dependent helicase Q141916817WRNhydrolaseDNA repair
77 6-Phosphofructokinase, muscle type P52784212PFKMkinase, transferaseglycolysis
78 Tyrosine-protein kinase Fer Q9TTY2366FERkinase, transferaseunclassified
79 Kalirin O602294014KALRNkinaseunclassified
80 Cell division protein kinase 3//Cyclin-dependent kinase 3 Q80YP0434Cdk3kinasecell cycle
81 Ribosomal protein S6 kinase delta-1 Q8BLK914 MS/MS1Rps6kc1kinaseunclassified
82 Dual specificity protein kinase CLK3 P4976123 MS/MS5CLK3kinaseunclassified
83 Amine oxidase (flavin-containing) Q7YRB7164MAOBoxidoreductaseunclassified
84 Peroxiredoxin-5, mitochondrial Q9BGI1574PRDX5oxidoreductaseunclassified
85 Cytochrome P450 1A2 P56592405CYP1A2oxidoreductaseunclassified
86 Lysine-specific demethylase 5C Q38JA73712KDM5Coxidoreductasetranscription
87 Lysine-specific demethylase 2B Q8NHM546, 38 MS/MS12KDM2Boxidoreductasetranscription
88 Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 2 O00469405PLOD2oxidoreductaseunclassified
89 Hydroxysteroid dehydrogenase-like protein 2 Q2TPA8427Hsdl2oxidoreductaseunclassified
90 Adenine phosphoribosyltransferase P08030374Aprttransferasepurine salvage
91 F-box only protein 4 Q9UKT5587FBXO4transferasecell cycle
92 Fukutin O75072415FKTNtransferaseunclassified
93 Chondroitin sulphate synthase 3 Q70JA7365CHSY3transferaseunclassified
94 Poly[ADP-ribose] polymerase 12 Q9H0J9337PARP12transferaseunclassified
95 Alkyldihydroxyacetonephosphate synthase, peroxisomal O00116315AGPStransferaselipid metabolism
96 Heparan sulphate glucosamine 3-O-sulfotransferase 6 Q5GFD5556Hs3st6transferaseunclassified
97 Rhophilin-2 Q8HXG3223RHPN2signal transductionunclassified
98 F-actin capping protein subunit alpha-2 Q09YN4565CAPZA2actin cappingunclassified
99 Adenylate cyclase type 5 P30803327ADCY5cyclasecAMP biosynthesis
100 Calnexin P24643285CANXchaperoneprotein folding
101 Rho GTPase-activating protein 7 B9VTT24610DLC1GTPasesignal transduction
102 Signal recognition particle 68 kDa protein Q00004276SRP68ribonucleoproteinunclassified
103 Endothelin-1 P13206345EDN1vasoactiveunclassified
104 Signal recognition particle 54kDa protein P61010267SRP54ribonucleoproteinunclassified
105 Oxygen-regulated protein 1 Q8MJ042713RP1microtubule bindingsensory transduction
106 Arf-GAP with SH3 domain ANK repeat and PH domain-containing protein 1 O97902427ASAP1GTPase activationcilium biogenesis/degradation
107 E3 ubiquitin-protein ligase RNF115 Q9Y4L5434RNF115ligaseunclassified
108 Collectrin Q0VCT4344TMEM27metalopeptidaseunclassified
109 EGF-like module-containing mucin like hormone receptor-like 2 Q2Q4212542EMR2unclassifiedinflammatory response
110 Gastrin-releasing peptide P47851555GRPunclassifiedneuropeptide signalling
111 Protein SDA1 homolog Q9NVU7345SDAD1unclassifiedtransport
112 Sorcin P30626283SRIunclassifiedunclassified
113 Bcl-2-like protein Q9HB09314BCL2L12unclassifiedapoptosis
114 Girdin Q3V6T240, 34 MS/MS6CCDC88AunclassifiedDNA replication
115 Leucine-rich repeat-containing protein 16C Q6F5E8316RLTPRunclassifiedimmune response
116 Coiled-coil domain-containing protein 148 Q8HZY8589CCDC148unclassifiedunclassified
117 COMM domain-containing protein 6 Q3V4B5344Commd6unclassifiedunclassified
118 Breast cancer anti-oestrogen resistance protein 3 Q9QZK2405Bcar3unclassifiedunclassified
119 SH2 domain-containing protein 3C Q9QZS84812Sh2d3cunclassifiedunclassified
120 Keratin, type II cytoskeletal 1 P0426411215KRT1unclassifiedunclassified
121 Sestrin-1 Q4R6P7559SESN1unclassifiedunclassified
122 Myelin transcription factor 1-like protein P70475456Myt1lunclassifiedtranscription
123 Coiled-coil domain-containing protein 125 Q5U465546Ccdc125unclassifiedunclassified
124 Phosducin O77560375PDCunclassifiedsensory transduction
125 Growth arrest-specific protein 6 Q143938 MS/MS1GAS6unclassifiedgrowth regulation
Table 2

Proteins found in each band of electrophoretic pattern.

BandProteinMass (kDa)Score
1Collectrin2534
Major alergen Can 11990
Sorcin2228
Bcl-2-like protein2231
E3 ubiquitin-protein ligase RNF1153443
Ig heavy chain V-II region COR1337
2COMM domain-containing protein 61034
Zinc finger UFM1-specific peptidase domain protein6750
Hepatoma-derived growth factor2737
Major allergen Can f 11995 MS/MS
Phosducin2937
C-C motif chemokine 251747
Cysteine and glycine-rich protein 22235
Adenine phosphoribosyltransferase2037
Signal recognition particle 68 kDa protein7026
Endothelin-12334
Adipocyte plasma membrane-associated protein4655
DnaJ homolog subfamily C member 184254
3Ankyrin repeat domain-containing protein 58742
4Friend of PRMT1 protein2710 MS/MS
Heparan sulphate glucosamine 3-O-sulfotransferase 64055
Keratin, type II cytoskeletal 83537
Cell division protein kinase 33443
Visual system homeobox 26647
Transcription factor TFIIIB component B'' homolog30040
6-phosphofructo-2-kinase/fructose-2,6-biphosphatse 25942
5Ankyrin repeat domain-containing protein 58742
Zinc finger protein 25461
6UPF0557 protein C10orf119 homolog7470
Calcium uptake protein 1, mitochondrial5548
7Cysteine and glycine-rich protein 22249
8
Coagulation factor IX5333
Procollagen-lysine, 2-oxoglutarate 5-dioxygenase 28640
Ubiquitin carboxyl-terminal hydrolase 1511432
9Dual specificity protein kinase CLK37423 MS/MS
10
Parafibromin6144
ATP-dependent RNA helicase DDX3X7440
Haemoglobin subunit gamma1660
Myosin-Ic12056
Zinc finger protein 5826234
Nuclear protein 1410033
Hydroxysteroid dehydrogenase-like protein 25542
Kinesin-like protein KIF1112055
Metastasis-associated protein MTA36832
6-Phosphofructokinase, muscle type8621
Tyrosine-protein kinase Fer9522
Keratin, type I microfibrillar 48kDa, component 8C-14852
Gamma-glutamyl hydrolase3630
Arf-GAP with SH3 domain ANK repeat and PH domain-containing protein 112642
Ig heavy chain V region GOM1323 MS/MS
11Ribosomal protein S6 kinase delta-111714 MS/MS
Sestrin-15755
Myelin transcription factor 1-like protein13545
Serum albumin7060
Beta-crystallin B22376
Tyrosine-protein kinase Fer9523
Calnexin6828
Rhophilin-27822
Collagen alpha-2(I) chain13058
Arylsulfatase K6128
Adenylate cyclase type 514224
Peroxiredoxin-5, mitochondrial2357
Lysozyme C, spleen isozyme1532
Interleukin-182227
Guanine nucleotide-binding protein G(t) subunit alpha-24130
Gastrin/cholecystokinin type B receptor5040
12Growth hormone receptor7225
Coiled-coil domain-containing protein 1255754
Werner syndrome ATP-dependent helicase16468
Eukaryotic translation initiation factor 3 subunit H4054
Pinin8830
G2/mitotic-specific cyclin-B315319
Collagen alpha-2(I) chain13044
Scavenger receptor cysteine-rich type 1 protein M13012723
Gastrin-releasing peptide1555
F-actin capping protein subunit alpha-23356
Desmoglein-111531
Cytochrome P450 1A25840
Endonuclease 8-like 36257
Interleukin-62479
13Interleukin-1 family member 84948
Amine oxidase (flavin-containing) B5916
Transcription factor 46918
Fukutin5441
Growth arrest-specific protein 6828 MS/MS
Interleukin-1 family member 81946
Amine oxidase (flavin-containing) B5916
Selenocysteine insertion sequence-binding protein 2-like12334
Splicing factor, proline- and glutamine-rich7637
Putative fidgetin-like protein 26740
Protein SDA1 homolog8034
N-acetylglucosamine-1-phosphotransferase subunits alpha/beta14230
Zinc finger protein 780A7734
14Putative homeodomain transcription factor 18832
Rho GTPase-activating protein 712646
Signal recognition particle 54kDa protein5626
Alpha-fetoprotein7025
Interleukin-12 subunit alpha2541
Lysine-specific demethylase 5C17737
Pleckstrin4032
Tuftelin-interacting protein 119635
Transferrin receptor protein 18736
Protein Spindly7054
SH2 domain-containing protein 3C9548
Keratin, type II cytoskeletal 166112
Myosin-binding protein C cardiac-type14243
Gastrin-releasing peptide receptor15 MS/MS
15Desmin5387
78 kDa glucose-regulated protein7362
Desmin5320
Multidrug resistance-associated protein 117331
F-box only protein 44658
Lysine-specific demethylase 2B15546, 38 MS/MS
Kalirin34340
Girdin21740, 34 MS/MS
Tensin-118761
Chondroitin sulphate synthase 310136
Leucine-rich repeat-containing protein 16C15631
6-Phosphofructo-2-kinase/fructose-2,6-biphosphatase 26543
Coiled-coil domain-containing protein 1487358
Probable ATP-dependent RNA helicase DDX5810943
Cysteinyl-tRNA synthetase, cytoplasmic //Cysteine—tRNA ligase, cytoplasmic9538 MS/MS
Collagen alpha-2(IV) chain10839
Breast cancer anti-oestrogen resistance protein 39340
16Oxygen-regulated protein 124327
EGF-like module-containing mucin like hormone receptor-like 29425
Desmin5336
Zinc finger BED domain-containing protein 58028
Tyrosine-protein kinase Fer9536
Arylsulfatase K6135
Transcription factor 46928
Adenylate cyclase type 514232
Glycogen debranching enzyme17725
Cystic fibrosis transmembrane conductance regulator16929
17Proteasome subunit beta type-32354
Table 3

Proteins common for human and dog.

NoProteinGene
1Hepatoma-derived growth factorHdgf
278 kDa glucose-regulated protein//Heat shock 70 kDa protein 5HSPA5
3Splicing factor, proline- and glutamine-richSFPQ
4Guanine nucleotide-binding protein G(t) subunit alpha-2GNAI2
5Cysteinyl-tRNA synthetase, cytoplasmic//Cysteine—tRNA ligase, cytoplasmicCars
6Interleukin-18IL18
7Ig heavy chain V-II region CORN/A
8N-acetylglucosamine-1-phosphotransferase subunits alpha/betaHBA
9Drebrin-like proteinDBNL
10Serum albuminALB
11Keratin, type I microfibrillar 48kDa, component 8C-1N/A
12Keratin, type II cytoskeletal 8KRT8
13Keratin, type I cytoskeletal 9KRT9
14Keratin, type II cytoskeletal 1KRT1
15Glycogen debranching enzymeAGL
16Lysozyme C, spleen isozymeN/A
17Proteasome subunit beta type-3PSMB3
186-Phosphofructokinase, muscle typePKFM
19Peroxiredoxin-5, mitochondrialPRDX5
20Adenine phosphoribosyltransferaseAprt
21F-actin capping protein subunit alpha-2CAPZA2
22CalnexinCANX
23SorcinSRI
24Growth arrest-specific protein 6GAS6
This shows that animal tear film is similar to human, yet there are some significant differences that have to be taken under consideration during analysis. These findings may be useful for investigations using dogs as an animal model for certain natural diseases that mimic human disorders. The analysis method used to determine the mass spectra of the major allergen Canis familiaris, which was also used for the remaining proteins identified in this study, is described below. After acquisition and computation, the protein obtained a score of 78.5 with a statistical significance factor value of 54, and seven peaks with the following masses were assigned to this protein: 987.524 m/z; 1141.879 m/z; 1563.803 m/z; 1586.810 m/z; 1761.870 m/z; 2003.031 m/z; and 2332.201 m/z (Fig 2). The sequence coverage in MS mode was 43.7%. The MS/MS analysis score was equal to 199.87 (987.524 m/z score: 38; 1141.879 m/z score: 22; 1563.803 m/z score: 90; 1586.810 m/z score: 0; 1761.870 m/z score: 43; 2003.031 m/z score: 67; 2332.201 m/z score: 49) with 6 peptide matches and statistical significance factor value 24. (The peak at 1586.810 m/z was rejected as a characteristic of the Canis familiaris protein) (Fig 3).
Fig 2

Peptide mass spectra of the major allergen Canis familiaris protein.

Fig 3

MS/MS peptide mass spectra the 2332.201 m/z peak, which has been identified and confirmed in MS/MS mode as unique for the major allergen Canis familiaris protein.

The amino acid sequence can be observed on the graph.

MS/MS peptide mass spectra the 2332.201 m/z peak, which has been identified and confirmed in MS/MS mode as unique for the major allergen Canis familiaris protein.

The amino acid sequence can be observed on the graph. Based on these results, our future work will include two-dimensional (2D) electrophoresis and HPLC in combination with MALDI-TOF-MS and LC-MS/MS with a quadrupole detector for protein identification and sequence characterization. Glycosylation, phosphorylation, and other posttranslational modifications of proteins will be considered during further in-depth analyses. In summary, we have identified 125 proteins in the tear film of healthy dogs, and to the best of our knowledge, this is the first comprehensive study published thus far. Additional proteomic analysis has been performed by 2D electrophoresis [16]; however, previous studies have not presented a coherent proteome map. Tear film is easily collected non-invasively, and its proteome delivers a rich source of information that may be used for various diagnostics. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium [26] via the PRIDE partner repository [27] with the dataset identifier PXD003124.
  27 in total

1.  Lacryglobin in human tears, a potential marker for cancer.

Authors:  V Evans; C Vockler; M Friedlander; B Walsh; M D Willcox
Journal:  Clin Exp Ophthalmol       Date:  2001-06       Impact factor: 4.207

2.  Characterization of human tear proteome using multiple proteomic analysis techniques.

Authors:  Nan Li; Nan Wang; Jing Zheng; X Michael Liu; O William Lever; Paul M Erickson; Liang Li
Journal:  J Proteome Res       Date:  2005 Nov-Dec       Impact factor: 4.466

3.  Comparisons of tear proteins in the cow, horse, dog and rabbit.

Authors:  H J Davidson; G L Blanchard; P C Montgomery
Journal:  Adv Exp Med Biol       Date:  1994       Impact factor: 2.622

4.  Longitudinal analysis of taurine induced effects on the tear proteome of contact lens wearers and dry eye patients using a RP-RP-Capillary-HPLC-MALDI TOF/TOF MS approach.

Authors:  Sebastian Funke; Diana Azimi; Dominik Wolters; Franz H Grus; Norbert Pfeiffer
Journal:  J Proteomics       Date:  2012-03-24       Impact factor: 4.044

5.  Analysis and comparison of proteomic profiles of tear fluid from human, cow, sheep, and camel eyes.

Authors:  Farrukh A Shamsi; Ziyan Chen; Jingwen Liang; Kaijun Li; Ali A Al-Rajhi; Imtiaz A Chaudhry; Mingtao Li; Kaili Wu
Journal:  Invest Ophthalmol Vis Sci       Date:  2011-11-25       Impact factor: 4.799

6.  Proteomic analysis of dog tears for potential cancer markers.

Authors:  Carla de Freitas Campos; Nerida Cole; Derek Van Dyk; Bradley J Walsh; Penelope Diakos; Denise Almeida; Adriana Torrecilhas; José Luiz Laus; Mark D P Willcox
Journal:  Res Vet Sci       Date:  2008-03-04       Impact factor: 2.534

7.  Comparison of tear protein levels in breast cancer patients and healthy controls using a de novo proteomic approach.

Authors:  Daniel Böhm; Ksenia Keller; Julia Pieter; Nils Boehm; Dominik Wolters; Wulf Siggelkow; Antje Lebrecht; Marcus Schmidt; Heinz Kölbl; Norbert Pfeiffer; Franz-Hermann Grus
Journal:  Oncol Rep       Date:  2012-06-01       Impact factor: 3.906

8.  Comparison of camel tear proteins between summer and winter.

Authors:  Ziyan Chen; Farrukh A Shamsi; Kaijun Li; Qiang Huang; Ali A Al-Rajhi; Imtiaz A Chaudhry; Kaili Wu
Journal:  Mol Vis       Date:  2011-02-01       Impact factor: 2.367

9.  Application the mass spectrometry MALDI-TOF technique for detection of Babesia canis canis infection in dogs.

Authors:  Łukasz Adaszek; Tomasz Banach; Michał Bartnicki; Dagmara Winiarczyk; Paweł Łyp; Stanisław Winiarczyk
Journal:  Parasitol Res       Date:  2014-09-20       Impact factor: 2.289

10.  The PRoteomics IDEntifications (PRIDE) database and associated tools: status in 2013.

Authors:  Juan Antonio Vizcaíno; Richard G Côté; Attila Csordas; José A Dianes; Antonio Fabregat; Joseph M Foster; Johannes Griss; Emanuele Alpi; Melih Birim; Javier Contell; Gavin O'Kelly; Andreas Schoenegger; David Ovelleiro; Yasset Pérez-Riverol; Florian Reisinger; Daniel Ríos; Rui Wang; Henning Hermjakob
Journal:  Nucleic Acids Res       Date:  2012-11-29       Impact factor: 16.971

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  11 in total

1.  Under control: how a dietary additive can restore the gut microbiome and proteomic profile, and improve disease resilience in a marine teleostean fish fed vegetable diets.

Authors:  María Carla Piazzon; Josep Alvar Calduch-Giner; Belén Fouz; Itziar Estensoro; Paula Simó-Mirabet; Mónica Puyalto; Vasileios Karalazos; Oswaldo Palenzuela; Ariadna Sitjà-Bobadilla; Jaume Pérez-Sánchez
Journal:  Microbiome       Date:  2017-12-28       Impact factor: 14.650

2.  Skin Mucus of Gilthead Sea Bream (Sparus aurata L.). Protein Mapping and Regulation in Chronically Stressed Fish.

Authors:  Jaume Pérez-Sánchez; Genciana Terova; Paula Simó-Mirabet; Simona Rimoldi; Ole Folkedal; Josep A Calduch-Giner; Rolf E Olsen; Ariadna Sitjà-Bobadilla
Journal:  Front Physiol       Date:  2017-02-01       Impact factor: 4.566

3.  Effect of tear collection on lacrimal total protein content in dogs and cats: a comparison between Schirmer strips and ophthalmic sponges.

Authors:  Lionel Sebbag; Emily M McDowell; Patrick M Hepner; Jonathan P Mochel
Journal:  BMC Vet Res       Date:  2018-03-01       Impact factor: 2.741

4.  Comparative Analysis of Tear Composition in Humans, Domestic Mammals, Reptiles, and Birds.

Authors:  Ana Cláudia Raposo; Ricardo Dias Portela; Marcela Aldrovani; Thiago Doria Barral; Dayse Cury; Arianne Pontes Oriá
Journal:  Front Vet Sci       Date:  2020-05-22

5.  Urinary proteome of dogs with kidney injury during babesiosis.

Authors:  D Winiarczyk; K Michalak; L Adaszek; M Winiarczyk; S Winiarczyk
Journal:  BMC Vet Res       Date:  2019-12-04       Impact factor: 2.741

6.  Protein expression of the tear film of domestic cats before and after inoculation with Toxoplasma gondii.

Authors:  Paula Elisa Brandão Guedes; Jéssica Fontes Veloso; Luciana Carvalho Lacerda; Juliano Oliveira Santana; Irma Yuliana Mora-Ocampo; Carlos Priminho Pirovani; Rebeca Dalety Santos Cruz; Alexandre Dias Munhoz; Renata Santiago Alberto Carlos
Journal:  BMC Vet Res       Date:  2021-12-14       Impact factor: 2.741

7.  The proteomics of roadside hawk (Rupornis magnirostris), broad-snouted caiman (Caiman latirostris) and loggerhead sea turtle (Caretta caretta) tears.

Authors:  A C Raposo; C B Lebrilla; R W Portela; E Goonatilleke; F A Dórea Neto; A P Oriá
Journal:  BMC Vet Res       Date:  2020-08-07       Impact factor: 2.741

8.  Tear Film Proteome of Healthy Domestic Cats.

Authors:  Jéssica Fontes Veloso; Paula Elisa Brandão Guedes; Luciana Carvalho Lacerda; Juliano Oliveira Santana; Irma Yuliana Mora-Ocampo; Carlos Priminho Pirovani; Arianne Pontes Oriá; Alexandre Dias Munhoz; Renata Santiago Alberto Carlos
Journal:  Vet Med Int       Date:  2021-07-15

9.  Changes in tear protein profile in dogs with keratoconjunctivitis sicca following topical treatment using cyclosporine A.

Authors:  Metita Sussadee; Rucksak Rucksaken; Phattara-Orn Havanapan; Onrapak Reamtong; Aree Thayananuphat
Journal:  Vet World       Date:  2021-06-30

10.  Data-Independent Acquisition Enables Robust Quantification of 400 Proteins in Non-Depleted Canine Plasma.

Authors:  Halley Gora Ravuri; Zainab Noor; Paul C Mills; Nana Satake; Pawel Sadowski
Journal:  Proteomes       Date:  2022-02-28
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