Literature DB >> 28808673

Data on the impact of the blood sample collection methods on blood protein profiling studies.

Maria Ilies1,2, Cristina Adela Iuga1,3, Felicia Loghin4, Vishnu Mukund Dhople2, Thomas Thiele5, Uwe Völker2,6, Elke Hammer2,6.   

Abstract

Complete blood protein profiles of 4 different blood sample collection methods (EDTA-, heparin- and citrate plasma and serum) were investigated and the data presented herein is an extension of the research article in Ilies et al. [1]. Specimens were depleted of 6 highly abundant proteins and protein profiling was assessed by nano-LC UDMSE. Exhaustive protein sets and protein abundances before and after depletion are presented in tables and figures. Also, the core protein set and the unique proteins for each sample collection method previously described [1] are disclosed.

Entities:  

Keywords:  LC-MSE method data; Plasma; Proteomics; Serum

Year:  2017        PMID: 28808673      PMCID: PMC5544472          DOI: 10.1016/j.dib.2017.07.025

Source DB:  PubMed          Journal:  Data Brief        ISSN: 2352-3409


Specifications Table Value of the data Data shows a comprehensive evaluation of the different blood sample collection methods on 6 high abundant proteins and their depletion efficiency using immunoaffinity MARS6 column which can be used for future investigations on blood high abundant proteins and depleted fractions. Individual protein abundances, their presence and variance in the samples collected with different methods after depletion are of potential value to determine which sampling method to be used for proteomics investigations. Data presents an all-inclusive set of information on the methods applied to evaluate the impact of different blood sample collection methods on protein profiling studies and can be used as benchmark for future blood protein profiling studies.

Data

In this Data in Brief article we provide detailed information on blood protein profiling as an extension of the results reported in Ref. [1], 24 blood specimens were collected from 6 healthy and young volunteers in different sample collection tubes for serum and plasma. Tubes characteristics and the subsequent sample preparation are presented in Table 1. For the blood protein profiling a nanoLC-UDMSE method and standard search parameters were employed. Detailed description of methods can be found in Ref. [1] and its supplementary methods. 6 highly abundant blood proteins, namely serum albumin, immunoglobulin gamma, immunoglobulin alpha, serotransferrin, haptoglobin, and alpha-1-antitrypsin, were depleted by using a commercially available immunoaffinity depletion column. A detailed overview on depletion efficiency based on protein abundances for all sample collection methods is presented in Table 2. The distribution of the high abundant proteins before and after depletion is presented in Fig. 1 and more specific, fibrinogen coverage is shown in Fig. 2. Data regarding number of identified peptides and relatively quantified proteins for all sample types after depletion is shown in Fig. 3. Also, a top 10 list of the most abundant unique proteins for each of the EDTA-, heparin-, citrate plasma and serum samples is given in Table 3. The complete list of all relatively quantified proteins over all samples including their occurrence in the protein core set or as unique proteins interpreted in detail previously [1], can be found in the Supplementary material with data on individual sample abundance, mean abundance for each sample collection method and the abundance based coefficient of variation after depletion.
Table 1

Blood sample collection tubes characteristics.

Blood productSerumPlasma
Tube typePlastic SST™ II AdvancePlastic K2EDTAGlass CitrateGlass sodium heparin
Cat. No./NHS code367954/KFK114367873/KFK286367691/KFK186367876/KFK279
Additive (concentration)Silica (clot activator)/gelPotassium EDTABuffered sodium citrate (0,105 M)Sodium heparin (17 IU/mL blood)
Volume (mL)564.56
Mixing recommendationGently inverted 180° and backGently inverted 180° and backGently inverted 180° and backGently inverted 180° and back
5–6 times8–10 times3–4 times8–10 times
Table 2

Summary of depletion efficiency.

Mean protein abundanceEDTA plasma
Heparin plasma
Citrate plasma
Serum
Before depletionAfter depletionBefore depletionAfter depletionBefore depletionAfter depletionBefore depletionAfter depletion
All proteins40568018.7444741390.0435119594.0752949084.1740671622.4069872,370.9054995897.8945191163.47
α-1-antitrypsin757196.3414259.97584561.1723153.90764890.5722854.171006489.6529692.67
Haptoglobin631767.3918029.34487822.5841219.67596917.7956161.72689948.1941259.85
Ig A429327.8944422.15380247.3323957.12431941.1251775.29550978.4618885.19
Ig G 1–42013660.8691452.631677118.63101491.822145431.99168092.782856603.51124679.28
Serotransferrin2369837.17213742.012096978.58183333.162651548.54364344.323224215.08202618.47
Serum albumin15235797.332056072.7512925303.831866019.8115394810.673600066.3322315530.672807855.77
Other proteins19130431.7642303411.1916967561.9450709908.6918686081.7265609076.2924352132.3341966172.25
Total fibrinogen1839721.657325737.501108301.526370617.461657777.209817167.880.0071699.88
Fig. 1

HAP abundance before and after depletion.

Fig. 2

Total fibrinogen abundance before and after depletion of HAP.

Fig. 3

Global overview on the identified peptides and quantified proteins.

Table 3

TOP 10 abundant proteins exclusively identified per sampling method.

AccessionEntry nameTOP10_EDTA plasma Protein namesSecreted/ leakageEDTA 1EDTA2EDTA3EDTA4EDTA5EDTA6MeanCV
O75410TACC1Transforming acidic coiled-coil-containing protein 1Leakage4917465077109984542296583339035638890.39
Q9P2D6F135AProtein FAM135ANot specified47425511409049330845791546010407700.43
Q99683M3K5Mitogen-activated protein kinase kinase kinase 5leakage375584489334790368565233337776407010.16
Q9P0W8SPAT7Spermatogenesis-associated protein 7Leakage216403286628811179383273219729256190.26
Q9BYW2SETD2Histone-lysine N-methyltransferase SETD2Leakage220272658321030225613093120783239860.17
Q15573TAF1ATATA box-binding protein-associated factor RNA polymerase I subunit ALeakage146712007822199210652735918243206030.21
P15813CD1DAntigen-presenting glycoprotein CD1dLeakage133951728013398140712092315275157240.19
O14950ML12BMyosin regulatory light chain 12BNot specified105089974117841329187539291106000.16
Q5TBE3CI153Uncharacterized protein C9orf153Not specified618376398439754311014712879910.21
Q8N4P6LRC71Leucine-rich repeat-containing protein 71Not specified104638450570371236758686975610.22
AccessionEntry nameTOP10_heparin plasma Protein namesSecreted/ leakageHeparin1Heparin2Heparin3Heparin4Heparin5Heparin6MeanCV

Q8WUY3PRUN2Protein prune homolog 2Leakage1607232062881925733062942471582834872327540.24
Q15811ITSN1Intersectin-1Leakage509596310053081482209043134339566880.33
Q00610CLH1Clathrin heavy chain 1Leakage155861472818562208152293520262188150.17
P24043LAMA2Laminin subunit alpha-2Secreted113921228814534176881661015376146480.17
Q96RE9ZN300Zinc finger protein 300Leakage71341136511937200511503315472134990.33
Q9P0W5SCHI1Schwannomin-interacting protein 1Leakage170221027310231140511071010656121570.23
Q5RL73RBM48RNA-binding protein 48Not specified545484241153114460890621118116490.48
Q9P219DAPLEProtein DapleLeakage71621020014709108571118310820108220.22
Q8N3R3TCAIMT-cell activation inhibitor, mitochondrialLeakage1313811101896586229601805799140.19
Q7LG56RIR2BRibonucleoside-diphosphate reductase subunit M2 BLeakage545281098708102508552923583840.19
HAP abundance before and after depletion. Total fibrinogen abundance before and after depletion of HAP. Global overview on the identified peptides and quantified proteins. Blood sample collection tubes characteristics. Summary of depletion efficiency. TOP 10 abundant proteins exclusively identified per sampling method.

Experimental design, materials and methods

Experimental design and the materials and methods have been reported previously [1].
Subject areaProteomics
More specific subject areaClinical chemistry, Biomarker analysis, Blood proteome profiling
Type of dataTables, figures (PDF file format)
How data was acquirednano liquid chromatography (AQUITY UPLC M-CLASS, Waters Corporation) tandem mass spectrometry (Synapt G2Si mass spectrometer, WATERS Corporation)
UDMSEdata acquisition
Data formatAnalyzed and processed data
Experimental factors24 blood samples were drawn from 6 healthy young volunteers in serum tubes and plasma tubes containing EDTA, heparin, and citrate.
Experimental featuresSerum and plasma was obtained after tube manufacturer's instructions and aliquots were stored at -80  °C until analysis. Protein profiles were analyzed before and after samples depletion of 6 high abundant proteins using a commercial MARS6 (Agilent Technologies) immunoaffinity based column. Prior to the mass spectrometric analysis, proteins were digested by trypsin and peptides were further analyzed and protein profiles investigated with respect to the sample collection method influence.
Data source locationGreifswald, Germany
Data accessibilityData is with article
  1 in total

1.  Impact of blood sample collection methods on blood protein profiling studies.

Authors:  Maria Ilies; Cristina Adela Iuga; Felicia Loghin; Vishnu Mukund Dhople; Thomas Thiele; Uwe Völker; Elke Hammer
Journal:  Clin Chim Acta       Date:  2017-05-31       Impact factor: 3.786

  1 in total
  2 in total

Review 1.  Considerations for Soluble Protein Biomarker Blood Sample Matrix Selection.

Authors:  Joel A Mathews; Yan G Ni; Connie Wang; Jon E Peterson; Chad Ray; Xuemei Zhao; Daoyu Duan; Sara Hamon; John Allinson; Martha Hokom; Greta Wegner
Journal:  AAPS J       Date:  2020-01-29       Impact factor: 4.009

2.  Plasma protein absolute quantification by nano-LC Q-TOF UDMSE for clinical biomarker verification.

Authors:  Maria Ilies; Cristina Adela Iuga; Felicia Loghin; Vishnu Mukund Dhople; Elke Hammer
Journal:  Clujul Med       Date:  2017-10-20
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.