Data on hyper-activation of GPVI signalling inobese patients: towards the identification ofnovel antiplatelet targets in obesity

Data Article Data on hyper-activation of GPVI signalling in obese patients: Towards the identification of novel antiplatelet targets in obesity María N. Barrachina a , b , Irene Izquierdo a , b , Lidia Hermida-Nogueira a , b , Aurelio M. Sueiro c , Esteban Guiti an d , Felipe F. Casanueva b , c , Richard W. Farndale e , Masaaki Moroi e , Stephanie M. Jung e , María Pardo b , f ,  Angel García a , b , * a Platelet Proteomics Group, Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade Santiago de Compostela, Spain b Instituto de Investigaci on Sanitaria de Santiago (IDIS), Spain c Grupo de Endocrinología Molecular y Celular, Instituto de Investigaci on Sanitaria de Santiago (IDIS)/ Servicio de Endocrinología, Xerencia de Xesti on Integrada de Santiago (XXS), Spain d Mass Spectrometry and Proteomic Unit, Rede de Infraestructuras de Apoio  a Investigaci on e ao Desenvolvemento Tecnol oxico, Universidade de Santiago de Compostela, Santiago de Compostela, Spain e Department of Biochemistry, University of Cambridge, Cambridge, CB2 1QW, United Kingdom f Grupo Obesid omica eInstituto de Investigaci on Sanitaria de Santiago (IDIS) article info Article history: Received 7 February 2019 Accepted 15 February 2019 Available online 28 February 2019 abstract This data article is associated with the manuscript “GPVI surface expression and signalling pathway activation are increased in platelets from obese patients: elucidating potential antiatherothrombotic targets in obesity”[1]. The study refers to a combination of different approaches in order to identify plateletderived biomarkers in obesity. A total of 34 obese patients and their lean-matched controls were included in the study. We carried out a proteomic and functional (aggregation assays) analysis to find alterations in platelet-derived signalling pathways. After that, biochemical and mechanistic (flow cytometry assays) *Corresponding author. Centro Singular de Investigaci on en Medicina Molecular y Enfermedades Cr onicas (CIMUS), Universidade de Santiago de Compostela, Avda de Barcelona s/n, 15782, Santiago de Compostela, Spain. E-mail address: [email protected] (  A. García). Contents lists available at ScienceDirect Data in brief journal homepage: www.elsevier.com/locate/dib https://doi.org/10.1016/j.dib.2019.103784 2352-3409/©2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http:// creativecommons.org/licenses/by/4.0/). Data in brief 23 (2019) 103784 approaches were done in order to confirm a hyperactivation of the GPVI-related signalling pathway. ©2019 The Author(s). Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons. org/licenses/by/4.0/). 1. Data We performed a combination of 2D-DIGE-based proteomics, biochemical and functional approaches in order to identify biomarkers related to the risk of suffering atherothrombosis in obese patients without cardiovascular disease (Fig. 1). Regarding the proteomic analysis, 1895 protein spots were detected per gel, 55 of which were differentially regulated between obese and lean groups (fold change cut-off 1.2; p <0.05). We could successfully identify 35 protein features by MS which corresponded to 33 different ORFs (Table 1). Among others, we confirmed an up-regulation of a IIb and fibrinogen isoforms in platelets from obese patients. Besides, a complementary platelet aggregation approach showed platelets from obese patients are hyper-reactive in response to collagen and collagen-related peptide (CRP), revealing the collagen receptor Glycoprotein VI (GPVI) signalling as one of the altered pathways. We also found the active form of Src (pTyr418) is up-regulated in platelets from obese individuals, which links proteomics and aggregation data. Moreover, we show that CRP- activated platelets present higher levels of tyrosine phosphorylated PLC g 2 in obese patients, confirming alterations in GPVI signalling. In line with the above, flow cytometry studies show higher surface expression levels of total GPVI and GPVI-dimer in obese platelets, both correlating with BMI. 2. Experimental design, materials and methods A detailed description of the material and methods used is provided in the accompanying research article [1]. Essential methodical information related to the present data is provided in the following sections. Specifications Table Subject area Biology, Biochemistry More specific subject area Proteomics, Mass spectrometry, Biochemistry Type of data Tables and figures How data was acquired Two-dimensional differential in-gel electrophoresis (2D-DIGE), Mass spectrometry, Flow Cytometry (Accuri C6 flow cytometer), Immunoprecipitation, Aggregation assays (Chrono-log aggregometer), Western blot, System biology (Ingenuity Pathways Analysis (IPA) and STRING) Data format Analyzed Experimental factors Protein extraction and digestion for proteomics, biochemical and functional analysis. Experimental features 2D-DIGE coupled to mass spectrometry; western blot assays; aggregation assays; flow cytometry assays. Data source location Platelet Proteomics Group. Center for Research in Molecular Medicine and Chronic Diseases (CIMUS), Universidade Santiago de Compostela Data accessibility Data are presented within this article and related to an original research article (in press) Value of the data A combination of proteomics, biochemical and functional approaches was carried out in order to obtain platelet-derived biomarkers and drug targets in obesity The dataset can be utilized for comparative analysis in platelets between obese and lean individuals The present data illustrates how the combination of proteomics and functional analyses could elucidate potential antiatherothrombotic targets in platelet-related diseases M.N. Barrachina et al. / Data in brief 23 (2019) 1037842 Fig. 1. Schematic workflow of the study. M.N. Barrachina et al. / Data in brief 23 (2019) 103784 3 Table 1 Platelet proteins differentially regulated in obese patients versus lean healthy controls. Uniprot code Name Spot Fold change ACTB_HUMAN Actin, cytoplasmic 1 4405 þ1.3 4325 þ1.3 2021 þ1.2 2550 þ1.2 4461 þ1.2 ACTG_HUMAN Actin, cytoplasmic 2 2550 þ1.2 4461 þ1.2 ACTN1_HUMAN Alpha-actinin-1 4465 þ1.2 4405 þ1.3 4403 þ1.3 ALBU_HUMAN Serum albumin 4424 1.2 4356 þ1.3 ANXA5_HUMAN Annexin A5 4356 þ1.3 ARK72_HUMAN Aflatoxin B1 aldehyde reductase member 2 2898 1.2 DCTN2_HUMAN Dynactin subunit 2 4354 1.2 DPYL2_HUMAN Dihydropyrimidinase-related protein 2 1858 1.2 FIBB_HUMAN Fibrinogen beta chain 2547 þ1.2 2077 þ1.2 FIBG_HUMAN Fibrinogen gamma chain 4465 þ1.2 4325 þ1.3 2232 þ1.3 4304 þ1.2 4344 þ1.2 GELS_HUMAN Gelsolin 4508 1.2 4505 1.2 GPDM_HUMAN Glycerol-3-phosphate dehydrogenase, mitochondrial 4400 1.4 HEM2_HUMAN Delta-aminolevulinic acid dehydratase 2932 1.2 HSPB1_HUMAN Heat shock protein beta-1 4361 1.2 3287 1.2 ITA2B_HUMAN Integrin a IIb 993 þ1.2 1006 þ1.2 LYSC_HUMAN Lysozyme C 4320 1.3 ODO2_HUMAN Dihydrolipoyllysine-residue succinyltransferase component of 2- oxoglutarate dehydrogenase complex, mitochondrial 2077 þ1.2 PDLI1_HUMAN PDZ and LIM domain protein 1 2782 1.2 PDIA6_HUMAN Protein disulfide-isomerase A6 4354 1.2 PGM2_HUMAN Phosphoglucomutase-2 1711 1.2 PI42A_HUMAN Phosphatidylinositol 5-phosphate 4-kinase type-2 alpha 4359 1.2 PP1R7_HUMAN Protein phosphatase 1 regulatory subunit 7 4465 þ1.2 SEPT2_HUMAN Septin-2 2547 þ1.2 SEP11_HUMAN Septin-11 4359 1.2 STIP1_HUMAN Stress-induced-phosphoprotein 1 1858 1.2 TBB1_HUMAN Tubulin beta-1 chain 4354 1.2 TPM1_HUMAN Tropomyosin alpha-1 chain 4424 1.2 4348 1.2 TSP1_HUMAN Thrombospondin-1 993 þ1.2 4405 þ1.3 4321 þ1.2 4311 þ1.2 4403 þ1.3 TXNL1_HUMAN Thioredoxin-like protein 1 2867 þ1.2 TYPH_HUMAN Thymidine phosphorylase 2021 þ1.2 VINC_HUMAN Vinculin 933 þ1.2 1006 þ1.2 VP37B_HUMAN Vacuolar protein sorting-associated protein 37B 2932 1.2 ZYX_HUMAN Zyxin 4491 1.2 4339 1.3 a . A positive fold change indicates that the protein feature is up-regulated in obese patients, whereas a negative fold change indicates that the spot is down-regulate. M.N. Barrachina et al. / Data in brief 23 (2019) 1037844 2.1. Patients The study was approved by the local Ethics Committee (Galician Investigation Ethics Committee) and developed according to the principles outlined in the Declaration of Helsinki. All methods were carried out in accordance with the approved guidelines, and written informed consent was obtained from all subjects. At the moment of diagnosis, the obese patients were asked to participate in the study. In the case of acceptance, they signed the informed consent, and 36 mL of blood were collected in sodium citrate Vacuette ® tubes for analyses. Thirty-four patients referred to the Endocrinology Unit at the Santiago de Compostela University Hospital, Spain, participated in the study. These patients had a BMI higher than 40, indicating severe “healthy”obesity, and were referred to hospital by the primary care physician so they could be treated by an endocrinologist. Exclusion criteria were coagulation disorders, platelet-associated disorders, chronic antiplatelet drugs and other chronic drug therapy (except for drugs required to treat preexisting clinical factors that do not affect platelet reactivity). The lean control group consisted of healthy normal weight volunteers recruited at the Santiago de Compostela University Health Service. This group was age- and gender-matched with the obese group and individuals had a BMI between 18 and 26. Additionally, another group of 11 healthy volunteers with BMI between 26 and 35 (overweight and grade 1 obese individuals) was included in the study in order to investigate the expression levels of GPVI in the platelet surface. This group, age-matched with the other groups, was also recruited at the Santiago de Compostela University Health Service. 2.2. Platelet isolation Fresh blood samples (36 mL) were collected from obese patients and lean matched-controls in coagulation 3.2% sodium citrate Vacuette ® tubes and processed in less than 60 min. In order to obtain the platelet-rich plasma (PRP), blood was centrifuged for 20 min at 200 g at room temperature. Washed platelets were isolated following an established method that limits blood cells or plasma proteins contaminations [2]. Briefly, upon addition of warmed (30  C) acid citrate dextrose (ACD) solution (117 mM sodium citrate, 111 mM glucose, 78 mM citric acid) to a concentration of 7% v/v, the blood was centrifuged for 20 min at 200gat room temperature to obtain PRP. The upper two thirds of the PRP was centrifuged in a fresh tube at 1000g in the presence of prostacyclin (final concentration 0.2 m g/mL), which allowed pelleting of platelets. Following removal of plasma, platelets were washed in Tyrodes-HEPES (134 mmol/L NaCl, 0.34 mmol/L Na 2 HPO4, 2.9 mmol/LKCl, 12 mmol/L NaHCO 3 ,20 mmol/L HEPES, 5 mmol/L glucose, 1 mmol/L MgCl 2 , pH 7.3). Final washed platelet pellets were resuspended in HEPES-Tyrodes (134 mmol/L NaCl, 0.34 mmol/L Na 2 HPO 4 , 2.9 mmol/L KCl, 12 mmol/L NaHCO 3 , 20 mmol/L HEPES, 5 mmol/L glucose, 1 mmol/L MgCl 2 , pH 7.3) and allowed to rest for 30 minutes at room temperature. For proteomic studies based on two-dimensional differential gel electrophoresis (2D-DIGE), concentrations of 8 10 8 platelets/mL were lysed in a NP-40-based lysis buffer (0.3 M Sodium Chloride, 20mM Tris, 2mM EGTA, 2mM EDTA, 2% (v/v) NP-40, pH 7.5) and stored at 80  C[3]. 2.3. Aggregation approach PRP or washed platelets (2.5 10 8 platelets/mL in HEPES-Tyrodes) were used for aggregation studies. Aggregations were performed with 300 m L aliquots of PRP or washed platelets that were warmed at 37  C for 4 min without stirring and for 1 min with constant stirring at 1200 rpm in a Chrono-log aggregometer, before stimulation with the corresponding agonists for 6 min. The following agonists were used: Crosslinked collagen-related peptide (CRP), with the sequence Gly-Cys-Hyp-(Gly-Pro-Hyp)10-Gly-Cys-Hyp-Gly-NH2, was provided by Dr. Richard W. Farndale, from the University of Cambridge (UK). Collagen Reagent HORM ® Suspension (KRH) was purchased from Takeda Austria GmbH (Austria). Thrombin and ADP were purchased from Sigma (Sigma-Aldrich, St. Louis, MO) and arachidonic acid from Cayman Chemical (Michigan, USA). Rhodocytin was provided by M.N. Barrachina et al. / Data in brief 23 (2019) 103784 5 Johannes A. Eble, from Center for Molecular Medicine, Excellence Cluster Cardio-Pulmonary System, Frankfurt University Hospital, Frankfurt am Main, Germany. Regarding the activating condition, PRP stimulations were done with collagen-related peptide (CRP)-XL (0.1, 0.15 and 0.2 m g/mL), Horm collagen (0.5, 0.75 and 1 m g/mL), rhodocytin (25 and 50nM), ADP (2 and 3 m M) and arachidonic acid (0.3 and 0.5mM). On the other hand, washed platelets were activated with collagen-related peptide (CRP)-XL (0.4, 0.5 and 1 m g/mL), Horm collagen (1, 2 and 3 m g/ mL), rhodocytin (25, 50 and 100nM) and thrombin (0.5 and 0.75 U/mL). 2.4. 2D-DIGE approach For proteomic analysis, proteins were precipitated in 20% trichloroacetic acid in acetone, as previously described [2]. Protein pellets were resuspended in 60 m L DIGE buffer (65 mM CHAPS, 5 M urea, 2 M thiourea, 0.15 M NDSB-256, 30 mM Tris, 1 mM sodium vanadate, 0.1 mM sodium fluoride, and 1 mM benzamidine). Protein quantitation was done with Coomassie Plus protein reagent (Thermo Scientific). Six gels (technical replicates) were run in the experiment with a total of 150 m g of mixed labeled protein per gel. These protein mixtures contained 50 m g of protein from each sample (10 obese pooled and 10 lean pooled matched-controls) randomly labeled with 400 pmol minimal CyDye DIGE fluors (Cy3 and Cy5), and 50 m g of a pool of both conditions (25 m g from obese patients and 25 m g from lean controls) labeled with 400 pmol Cy2 (internal standard). Labelling was performed for 30 min on ice in the dark. The reaction was stopped with 1 m l of 10 mM lysine acting for 10 min on ice in the dark. After labelling step, the three samples were pooled and an equal volume of 2 sample buffer was added (65 mM CHAPS, 2 M thiourea, 5 M urea, 0.15 M NDSB-256, 130 mM DTT, 4 mM tributylphosphine, 1 mM sodium vanadate, 0.1 mM sodium fluoride, and 1 mM benzamidine). After mixing, the tube was left for 10 min on ice in the dark. For reswelling, samples were diluted up to a total of 500 m l of 2D Sample buffer (5 M urea, 2 M thiourea, 2 mM tributylphosphine, 65 mM DTT, 65 mM CHAPS, 0.15 M NDSB-256, 1 mM sodium vanadate, 0.1 mM sodium fluoride, and 1 mM benzamidine, final concentration), and ampholytes (Servalyt 4e7) were added to a final concentration of 1.6% (v/v). IPG strips were rehydrated with the samples for 16 h in the dark. Isoelectric focusing (IEF) was run on 24 cm, pH 4e7 IPG strips (GE Healthcare) powered by a Multiphor II (GE Healthcare) for 64.9 kVh at 17  C. Following the first dimension, IPG strips were immediately equilibrated for 15 min in reduction buffer (6 M urea, 50 mM tris pH 8.8, 30% glycerol, 2% w/v SDS, 65 mM DTT and traces of bromophenol blue) and then for 15 min in alkylation buffer (6 M urea, 50 mM tris pH 8.8, 30% glycerol, 2% w/v SDS, 135 mM iodoacetamide and traces of bromophenol blue) with gentle agitation; all steps in the dark. IPG strips were washed out with ultrapure water and placed on top of the second dimension gels, embedded with 0.5% melted agarose. Proteins were separated in the second dimension by SDS-polyacrylamide gel electrophoresis (PAGE) on 11% polyacrylamide gels at run conditions of 10  C, 20 mA per gel for 1 h, followed by 40 mA per gel for 4 h by using an Ettan Dalt 6 system (GE Healthcare). Following electrophoresis gels were scanned directly in a Typhoon FLA 7000 scanner (GE Healthcare). After imaging, gels were fixed in 10% methanol/7% acetic acid for 1 hour, and stained overnight with Sypro Ruby fluorescent dye for spot picking. 2.5. Differential image analysis Scanned images were processed with Progenesis SameSpots (Version 4.5) from Nonlinear Dynamics. Manual and automatic alignment was used to align the images. SameSpots detects the spots simultaneously across all images generating a master gel list containing all the features. Internal calibration of the 2D-DIGE gel images with regard to pI and molecular weight was carried out with SameSpots built-in tools. All gels were compared with each other, and fold values as well as P values of all spots were calculated by SamesSpots Version 4.5 software using 1-way ANOVA analysis. Differential expression of a protein present in the gels was considered significant when the fold change was at least 1.2 and the P value was <0.05. M.N. Barrachina et al. / Data in brief 23 (2019) 1037846 2.6. Mass spectrometric analysis Differential regulated spots were excised manually from the gels and in-gel digested with trypsin as previously indicated [4]. Most of the identifications were by LCeMS/MS on an EASY-nLC (Proxeon, Bruker Daltonics) and a Bruker Amazon ETD ion trap. Remaining identifications were by MALDI-TOF(/ TOF), in a 4800 Plus MALDI-TOF/TOF analyzer (Applied Biosystems). For LC-MS/MS analysis, digested peptide mixtures were dissolved in 0.1% formic acid and were separated in an EASY-nLC (Proxeon, Bruker Daltonik GmbH) with a reverse phase nanocolumn (Easy column SC200) from Proxeon (see below for more details). Ionized peptides were analyzed in a CID-ETD ion trap mass spectrometer (Bruker Daltonics), equipped with a Nanosprayer ionization source that was used for data-dependent MS/MS experiments. Spectra were acquired in Enhanced Resolution mode. Further acquisition parameters are listed in below. Automated analysis of mass data was achieved by Data Analysis 4.0 and BioTools 3.2 from Bruker Daltonik GmbH. Database search was performed with the Mascot v2.3.0 search tool (Matrix Science, London, UK) screening SwissProt (SwissProt_2016_09.fasta). Searches were restricted to human taxonomy allowing carbamidomethyl cysteine as a fixed modification and oxidized methionine as potential variable modification. Both the precursor mass tolerance and the MS/MS tolerance were set at 0.3 and 0.4 Da, respectively, allowing 1 missed tryptic cleavage site. All spectra and database results were manually inspected in detail using the above software, especially in the case of identifications based on one peptide hit. For the latter, positive identification by MS was only accepted when more than 50% y-ions (CID fragmentation) or z-ions (ETD fragmentation) were obtained for a peptide comprising at least eight amino acids long and no missed tryptic cleavage site. Positive hits corresponded to Mascot scores >40 plus the fulfillment of the above criteria. Table: LC parameters for separation of tryptic peptides LC settings LC system Easy-nLC PROXEON Trap column Easy-column SC001 L 2 cm, ID 100 m m, 5 m m, 120 A, C18-A1 from Proxeon Analytical column Easy column SC200C18 3 m m 120A 360 m m OD/75 m m ID, L ¼10cm) from Proxeon Flow rate 300 nl/min Eluents A:0.1% FA in water B:0.1%FA in ACN Gradient 5% (t ¼0 min), 35% (t ¼32 min), 50% (t ¼37 min), 100% (t ¼38min) Table: MS and MS/MS settings used for acquisition with the Amazon ETD Acquisition parameters Source Nanosprayer ® MS settings: Scan mode Enhanced resolution mode (8100 m/zs 1 ) Scan range 50e3000 Da Spectra averages 5 (Rolling averaging: 1) MS/MS settings: Scan mode UltraScan Scan range 100-3000 m/z No. of precursor ions 3 (active exclusion after 1 spectrum, release after 0.2 min; reconsider precursor, if current intensity/previous intensity >1% Isolation width 4m/z Spectral averages 2 Fragmentation amplitude (CID) 30e300% Fragmentation time (ETD) 100 ms M.N. Barrachina et al. / Data in brief 23 (2019) 103784 7 For MALDI analysis, dried peptides were dissolved in 4 m L of 0.5% formic acid. Equal volumes (0.5 m L) of peptide and matrix solution (3 mg alpha-cyano-4-hydroxycinnamic acid ( a -CHCA) dissolved in 1 mL of 50% acetonitrile in 0.1% trifluoroacetic acid) were deposited using the thin layer method, onto a 384 Opti-TOF 123 81 mm MALDI plate (Applied Biosystems) and allowed to dry at room temperature. Mass spectrometric data were obtained in an automated analysis loop using a 4800 MALDI-TOF/TOF analyzer (Applied Biosystems). Spectra were acquired in the reflector positive-ion mode with a Nd:YAG, 355nm wavelength laser, at 200 Hz laser frequency, and 1000 to 2000 individual spectra were averaged. The experiments were acquired uniform with fixed laser intensity. All MSMS spectra were performed by selecting the precursors with a relative resolution of 300 (FWHM) and metastable suppression. Automated analysis of mass data was achieved by using the 4000 Series Explorer Software V3.5 (Applied Biosystems). Internal calibration of MALDI-TOF mass spectra was performed using two trypsin autolysis ions with m/z¼842.510 and m/z¼2211.105. For MALDI-MS/MS, calibrations were performed with fragment ion spectra obtained for Angiotensin II (peptide mix, calibration standard, Bruker). MS and MS/MS spectra data were combined through the Protein Pilot Explorer Software v4.5. Database search was performed with the Mascot v2.1 search tool (Matrix Science, London, UK) screening SwissProt (release version 2016e05; February 551193 entries). Searches were restricted to Human taxonomy allowing carbamidomethyl cysteine as a fixed modification and oxidized methionine as potential variable modification. Both the precursor mass tolerance and the MS/MS tolerance were set at 100 ppm and 0.3 Da, respectively, allowing 1 missed tryptic cleavage site. MALDI-MS(/MS) spectra and database search results were manually inspected in detail using the previous software. For combined MS and MS/MS data, identifications were accepted when Confidence Interval (C.I.%) of Protein Pilot software was 95% or higher. Since Protein Scores and Ion Scores from different searches cannot be directly compared, Protein Pilot software calculates this C.I.% in order to combine results from MS and MS/MS database searches. This coefficient value means that the probability that the observed match is a random event is lower than 5%. For PMF spectra, identifications were also accepted when (C.I.%) of Protein Pilot software was 99% or higher. 2.7. Western blotting Western blotting was performed for validation purpose. 1D-western blotting was carried out to validate individual samples (biological replicates). 11% SDS-PAGE gels were used, loading 10 m gof protein per lane. For 2D-western blotting validations, IPG strips 4e7, 7 cm (GE Healthcare), were used. Thirty micrograms of protein were loaded per strip; obese and lean-matched samples (pools of 5 individuals per each condition) were analyzed in parallel. Samples were analyzed in triplicate. IEF (first dimension) was for 11Kvh; second dimension was also on 11% SDS-PAGE gels. Following electrophoresis, proteins were transferred onto polyvinylidene difluoride (PVDF) membranes. Membranes were blocked in 5% BSA in TBS-T (20 mM Tris-HCl, (pH 7.6), 150 mM NaCl and 0.1% Tween 20) overnight at 4  C and incubated for 90 min at room temperature with the following primary antibodies: rabbit anti-phospho-SRC (Tyr418) (Invitrogen), dilution 1:1000; rabbit anti-SRC pan (Invitrogen), dilution 1:1000; mouse anti-FIB (sc-69775, Santa Cruz), dilution 1:1000; mouse anti- PLC g 2 (sc-5283, Santa Cruz), dilution 1:1000; rabbit anti-GAPDH (SIGMA), dilution 1:5000; and anti- G6f (1:1000), produced by CovalAB UK (Cambridge, UK). Following washes in TBS-T, membranes were exposed to horseradish peroxidaseelabeled goat anti-rabbit, or goat anti-mouse antibodies (dilution 1:5000) (Pierce, Rockford, IL), and processed using an enhanced-chemiluminiscence system (ECL, Pierce, Rockford, USA). 2.8. Immunoprecipitation Basal and activated platelets (8 10 8 platelets/mL, 500 m L per immunoprecipitation; activations with CRP-XL 1 m g/mL, 90sec) were lysed with 500 m L NP40-based lysis buffer, (0.3 M Sodium Chloride, 20mM Tris, 2mM EGTA, 2mM EDTA, 2% (v/v) NP-40, pH 7.5). Activations were under non-aggregating conditions in the presence of integrilin (9 m M). For phosphotyrosine (p-Tyr) immunoprecipitations, 5 m g of agarose-conjugated 4G10 monoclonal anti-phosphotyrosine antibody (EMD Millipore M.N. Barrachina et al. / Data in brief 23 (2019) 1037848 Corporation, Billerica, MA, USA) were added to the lysates per immunoprecipitation and samples rotated overnight at 4  C. Before the addition of the antibodies, samples were precleared with 25 m Lof Protein A-Sepharose (50% w/v in TBS-T (20mM Tris-HCl (pH 7.6), 137mM NaCl, and 0.1% v/v Tween 20)) at 4  C for 60 minutes with end-over-end mixing. After immunoprecipitations, proteins were eluted from the beads in 2X Laemmli sample buffer (4% w/v SDS,10% v/v 2-mercaptoethanol, 20% v/v glycerol, 50 mM Tris, pH 6.8) and resolved on 4e12% NuPAGE Bis-Tris gradient gels (Invitrogen, Carlsbad, CA, USA) for western blotting. 2.9. Flow cytometry We analyzed the expression of GPVI in whole blood and P-selectin in washed platelets. To measure GPVI dimer, GPVI total and P-selectin, 10 m l of platelet solution, either 5-fold diluted whole blood or washed platelets (5 10 7 cells/mL), was mixed with 10 m lof204e11 Fab (GPVI-dimer-specific; 5 m g/mL, final), 1G5 (pan GPVI; 10 m g/mL, final) (Biocytex, France) and CD62 (10 m g/mL, final) (ABCAM, UK) and incubated for 10 min. For all of them, ALEXA 488 anti-mouse F(ab)2 antibody (50 m g/ml, final) (Jackson ImmunoResearch) was added as the secondary antibody and incubated for 10 min. In individual Eppendorf tubes each reaction mixture was diluted with 0.200 ml of diluent (Beckman Coulter, USA), and then antibody binding was measured by an Accuri C6 flow cytometer (BD Biosciences). Platelet binding to appropriate controls, mouse Fab (Jackson ImmunoResearch) when the primary antibody was 204e11 Fab, IgG2A when it was 1G5 and IgG1 when it was CD62, was determined. The test was run in triplicate and the average of mean fluorescence intensity was measured. 2.10. Systems biology Ingenuity Pathways Analysis software (IPA, Ingenuity Systems, www.ingenuity.com) was used to investigate possible interactions among all the identified proteins. Interactive pathways were generated to observe potential direct and indirect relations among the differentially regulated proteins. STRING v10 software [5] was also used to predicted protein-protein interactions and to know the biological process, molecular functions and cellular components where the differential proteins were involved. 2.11. Statistical analysis Categorical variables from obese patients and lean matched-controls are expressed as percentages and were compared using the Fisher exact test. Continuous variables are expressed as the median ±SD, and were compared by the Mann-Whitney test. Correlations analyses were done using the Spearman's test. As indicated above, the differential proteomic analysis was done analyzing all the spots between obese patients and lean matched-controls; for a given spot, the probability value was calculated using the quantified and normalized volumes for the matched spot. All probability values were calculated using 1-way ANOVA analysis and values of p <0.05 were considered statistically significant. Following 1D-western blotting validation studies, densitometry of the bands were performed using ImageJ (National Institute of Health, Bethesda, MD, USA) version 1.47, and statistical analysis by ManneWhitney test comparing groups. Graphs were done with GraphPad Prism 5 (GraphPad Software, Inc. San Diego California, USA). All analyses were performed using IBM SPSS Statistics 20 software for Windows (IBM, Armonk, NY, USA). Acknowledgements The authors declare they do not have anything to disclose regarding conflicts of interest with respect to this manuscript. This work was supported by the Spanish Ministry of Economy and Competitiveness (MINECO) [grant No. SAF2016-79662-R], co-funded by the European Regional Development Fund (ERDF). Financial support from the Consellería de Cultura, Educaci on e Ordenaci on Universitaria, Xunta de Galicia (Centro Singular de investigaci on de Galicia accreditation 2016e2019, M.N. Barrachina et al. / Data in brief 23 (2019) 103784 9