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.
Keywords: LC-MSE method data, Proteomics, Plasma, Serum, Proteomics
Specifications Table
| Subject area | Proteomics |
| More specific subject area | Clinical chemistry, Biomarker analysis, Blood proteome profiling |
| Type of data | Tables, figures (PDF file format) |
| How data was acquired | nano liquid chromatography (AQUITY UPLC M-CLASS, Waters Corporation) tandem mass spectrometry (Synapt G2Si mass spectrometer, WATERS Corporation) |
| UDMSEdata acquisition | |
| Data format | Analyzed and processed data |
| Experimental factors | 24 blood samples were drawn from 6 healthy young volunteers in serum tubes and plasma tubes containing EDTA, heparin, and citrate. |
| Experimental features | Serum 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 location | Greifswald, Germany |
| Data accessibility | Data is with article |
Value of the data
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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.
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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.
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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.
1. 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 product | Serum | Plasma | ||
|---|---|---|---|---|
| Tube type | Plastic SST™ II Advance | Plastic K2EDTA | Glass Citrate | Glass sodium heparin |
| Cat. No./NHS code | 367954/KFK114 | 367873/KFK286 | 367691/KFK186 | 367876/KFK279 |
| Additive (concentration) | Silica (clot activator)/gel | Potassium EDTA | Buffered sodium citrate (0,105 M) | Sodium heparin (17 IU/mL blood) |
| Volume (mL) | 5 | 6 | 4.5 | 6 |
| Mixing recommendation | Gently inverted 180° and back | Gently inverted 180° and back | Gently inverted 180° and back | Gently inverted 180° and back |
| 5–6 times | 8–10 times | 3–4 times | 8–10 times | |
Table 2.
Summary of depletion efficiency.
| Mean protein abundance |
EDTA plasma |
Heparin plasma |
Citrate plasma |
Serum |
||||
|---|---|---|---|---|---|---|---|---|
| Before depletion | After depletion | Before depletion | After depletion | Before depletion | After depletion | Before depletion | After depletion | |
| All proteins | 40568018.74 | 44741390.04 | 35119594.07 | 52949084.17 | 40671622.40 | 69872,370.90 | 54995897.89 | 45191163.47 |
| α-1-antitrypsin | 757196.34 | 14259.97 | 584561.17 | 23153.90 | 764890.57 | 22854.17 | 1006489.65 | 29692.67 |
| Haptoglobin | 631767.39 | 18029.34 | 487822.58 | 41219.67 | 596917.79 | 56161.72 | 689948.19 | 41259.85 |
| Ig A | 429327.89 | 44422.15 | 380247.33 | 23957.12 | 431941.12 | 51775.29 | 550978.46 | 18885.19 |
| Ig G 1–4 | 2013660.86 | 91452.63 | 1677118.63 | 101491.82 | 2145431.99 | 168092.78 | 2856603.51 | 124679.28 |
| Serotransferrin | 2369837.17 | 213742.01 | 2096978.58 | 183333.16 | 2651548.54 | 364344.32 | 3224215.08 | 202618.47 |
| Serum albumin | 15235797.33 | 2056072.75 | 12925303.83 | 1866019.81 | 15394810.67 | 3600066.33 | 22315530.67 | 2807855.77 |
| Other proteins | 19130431.76 | 42303411.19 | 16967561.94 | 50709908.69 | 18686081.72 | 65609076.29 | 24352132.33 | 41966172.25 |
| Total fibrinogen | 1839721.65 | 7325737.50 | 1108301.52 | 6370617.46 | 1657777.20 | 9817167.88 | 0.00 | 71699.88 |
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.
| Accession | Entry name | TOP10_EDTA plasma Protein names | Secreted/ leakage | EDTA 1 | EDTA2 | EDTA3 | EDTA4 | EDTA5 | EDTA6 | Mean | CV |
|---|---|---|---|---|---|---|---|---|---|---|---|
| O75410 | TACC1 | Transforming acidic coiled-coil-containing protein 1 | Leakage | 49174 | 65077 | 109984 | 54229 | 65833 | 39035 | 63889 | 0.39 |
| Q9P2D6 | F135A | Protein FAM135A | Not specified | 47425 | 51140 | 9049 | 33084 | 57915 | 46010 | 40770 | 0.43 |
| Q99683 | M3K5 | Mitogen-activated protein kinase kinase kinase 5 | leakage | 37558 | 44893 | 34790 | 36856 | 52333 | 37776 | 40701 | 0.16 |
| Q9P0W8 | SPAT7 | Spermatogenesis-associated protein 7 | Leakage | 21640 | 32866 | 28811 | 17938 | 32732 | 19729 | 25619 | 0.26 |
| Q9BYW2 | SETD2 | Histone-lysine N-methyltransferase SETD2 | Leakage | 22027 | 26583 | 21030 | 22561 | 30931 | 20783 | 23986 | 0.17 |
| Q15573 | TAF1A | TATA box-binding protein-associated factor RNA polymerase I subunit A | Leakage | 14671 | 20078 | 22199 | 21065 | 27359 | 18243 | 20603 | 0.21 |
| P15813 | CD1D | Antigen-presenting glycoprotein CD1d | Leakage | 13395 | 17280 | 13398 | 14071 | 20923 | 15275 | 15724 | 0.19 |
| O14950 | ML12B | Myosin regulatory light chain 12B | Not specified | 10508 | 9974 | 11784 | 13291 | 8753 | 9291 | 10600 | 0.16 |
| Q5TBE3 | CI153 | Uncharacterized protein C9orf153 | Not specified | 6183 | 7639 | 8439 | 7543 | 11014 | 7128 | 7991 | 0.21 |
| Q8N4P6 | LRC71 | Leucine-rich repeat-containing protein 71 | Not specified | 10463 | 8450 | 5703 | 7123 | 6758 | 6869 | 7561 | 0.22 |
| Accession | Entry name | TOP10_heparin plasma Protein names | Secreted/ leakage | Heparin1 | Heparin2 | Heparin3 | Heparin4 | Heparin5 | Heparin6 | Mean | CV |
| Q8WUY3 | PRUN2 | Protein prune homolog 2 | Leakage | 160723 | 206288 | 192573 | 306294 | 247158 | 283487 | 232754 | 0.24 |
| Q15811 | ITSN1 | Intersectin-1 | Leakage | 50959 | 63100 | 53081 | 48220 | 90431 | 34339 | 56688 | 0.33 |
| Q00610 | CLH1 | Clathrin heavy chain 1 | Leakage | 15586 | 14728 | 18562 | 20815 | 22935 | 20262 | 18815 | 0.17 |
| P24043 | LAMA2 | Laminin subunit alpha-2 | Secreted | 11392 | 12288 | 14534 | 17688 | 16610 | 15376 | 14648 | 0.17 |
| Q96RE9 | ZN300 | Zinc finger protein 300 | Leakage | 7134 | 11365 | 11937 | 20051 | 15033 | 15472 | 13499 | 0.33 |
| Q9P0W5 | SCHI1 | Schwannomin-interacting protein 1 | Leakage | 17022 | 10273 | 10231 | 14051 | 10710 | 10656 | 12157 | 0.23 |
| Q5RL73 | RBM48 | RNA-binding protein 48 | Not specified | 5454 | 8424 | 11531 | 14460 | 8906 | 21118 | 11649 | 0.48 |
| Q9P219 | DAPLE | Protein Daple | Leakage | 7162 | 10200 | 14709 | 10857 | 11183 | 10820 | 10822 | 0.22 |
| Q8N3R3 | TCAIM | T-cell activation inhibitor, mitochondrial | Leakage | 13138 | 11101 | 8965 | 8622 | 9601 | 8057 | 9914 | 0.19 |
| Q7LG56 | RIR2B | Ribonucleoside-diphosphate reductase subunit M2 B | Leakage | 5452 | 8109 | 8708 | 10250 | 8552 | 9235 | 8384 | 0.19 |
| Accession | Entry name | TOP10_citrate plasma Protein names | Secreted/ leakage | Citrate1 | Citrate2 | Citrate3 | Citrate4 | Citrate5 | Citrate6 | Mean | CV |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Q9P2M7 | CING | Cingulin | Leakage | 25422 | 20003 | 21886 | 23546 | 30961 | 24534 | 24392 | 0.15 |
| P12259 | FA5 | Coagulation factor V | Secreted | 23814 | 17933 | 19660 | 25752 | 18389 | 25697 | 21874 | 0.17 |
| Q9P2F6 | RHG20 | Rho GTPase-activating protein 20 | Not specified | 23589 | 22007 | 16027 | 12855 | 27896 | 20017 | 20398 | 0.26 |
| Q8N4C7 | STX19 | Syntaxin-19 | Leakage | 28854 | 20451 | 15902 | 13099 | 22999 | 13806 | 19185 | 0.32 |
| P01036 | CYTS | Cystatin-S | secreted | 11101 | 15659 | 13394 | 13586 | 12003 | 13467 | 13201 | 0.12 |
| Q9UHR6 | ZNHI2 | Zinc finger HIT domain-containing protein 2 | Not specified | 19443 | 16822 | 4967 | 3913 | 10581 | 11941 | 11278 | 0.55 |
| Q96RG2 | PASK | PAS domain-containing serine/threonine-protein kinase | Leakage | 6479 | 5955 | 8749 | 6906 | 9560 | 7207 | 7476 | 0.19 |
| P82970 | HMGN5 | High mobility group nucleosome-binding domain-containing protein 5 | Leakage | 9548 | 8133 | 7295 | 6810 | 7588 | 5103 | 7413 | 0.20 |
| Q9Y275 | TN13B | Tumor necrosis factor ligand superfamily member 13B | Secreted | 7560 | 5901 | 9552 | 8230 | 5887 | 5013 | 7024 | 0.24 |
| Q8TBF8 | FA81A | Protein FAM81A | Not specified | 2397 | 14042 | 4879 | 6685 | 5055 | 6287 | 6558 | 0.60 |
| Accession | Entry name | TOP10_serum Protein names | Secreted/ leakage | Serum 1 | Serum2 | Serum3 | Serum4 | Serum5 | Serum6 | Mean | CV |
| P04275 | VWF | von Willebrand factor | Secreted | 171296 | 202739 | 192598 | 166870 | 183833 | 187044 | 184063 | 0.07 |
| O95602 | RPA1 | DNA-directed RNA polymerase I subunit RPA1 | Leakage | 118817 | 176926 | 184007 | 192232 | 145288 | 177692 | 165827 | 0.17 |
| Q9ULI0 | ATD2B | ATPase family AAA domain-containing protein 2B | Leakage | 51935 | 64557 | 22306 | 53282 | 62255 | 57282 | 51936 | 0.30 |
| Q96HQ0 | ZN419 | Zinc finger protein 419 | Leakage | 36426 | 50320 | 48458 | 36400 | 54318 | 39176 | 44183 | 0.18 |
| P07996 | TSP1 | Thrombospondin-1 | Leakage | 44367 | 39433 | 21407 | 42369 | 47867 | 37343 | 38797 | 0.24 |
| Q9BS31 | ZN649 | Zinc finger protein 649 | Leakage | 23893 | 41507 | 27030 | 51443 | 37056 | 43081 | 37335 | 0.28 |
| A6NET4 | OR5K3 | Olfactory receptor 5K3 | Leakage | 38230 | 37448 | 43819 | 30573 | 25303 | 33517 | 34815 | 0.19 |
| Q8WXX0 | DYH7 | Dynein heavy chain 7, axonemal | Leakage | 19153 | 26320 | 19664 | 22016 | 33037 | 19816 | 23334 | 0.23 |
| Q7Z443 | PK1L3 | Polycystic kidney disease protein 1-like 3 | Leakage | 12597 | 7542 | 19654 | 27879 | 14351 | 4420 | 14407 | 0.59 |
| P98196 | AT11A | Probable phospholipid-transporting ATPase IH | Leakage | 15647 | 10307 | 12192 | 15634 | 14152 | 17414 | 14224 | 0.18 |
2. Experimental design, materials and methods
Experimental design and the materials and methods have been reported previously [1].
Acknowledgements
We would like to thank to the European Social Found, Human Resources Development Operational Programme 2007–2013 [Project no. POSDRU/159/1.5/136893], the Deutscher Akademischer Austauschdienst (German Academic Exchange Service) [Programme ID 57130104, Personal number: 91558112], the ERASMUS + Traineeship [Contract no. 06/24/08/2016] and the Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca Romania [Grant no. 7690/57/2016] for the research grants awarded to Maria Ilies.
Footnotes
Transparency data associated with this article can be found in the online version at 10.1016/j.dib.2017.07.025.
Supplementary data associated with this article can be found in the online version at doi:10.1016/j.dib.2017.07.025.
Contributor Information
Maria Ilies, Email: ilies.maria@umfcluj.ro.
Cristina Adela Iuga, Email: iugac@umfcluj.ro.
Felicia Loghin, Email: floghin@umfcluj.ro.
Vishnu Mukund Dhople, Email: dhoplevm@uni-greifswald.de.
Thomas Thiele, Email: thielet@uni-greifswald.de.
Uwe Völker, Email: voelker@uni-greifswald.de.
Elke Hammer, Email: hammer@uni-greifswald.de.
Transparency document. Supporting information
Supplementary material
.
Appendix A. Supplementary material
Overview on all sample collection methods relatively quantified proteins after depletion.
Reference
- 1.Ilies M., Iuga C.A., Loghin F. Impact of blood sample collection methods on blood protein profiling studies. Clin. Chim. Acta. 2017;471:128–134. doi: 10.1016/j.cca.2017.05.030. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Supplementary material
Overview on all sample collection methods relatively quantified proteins after depletion.



