| Literature DB >> 28936257 |
Malin Berggrund1, Daniel Ekman2, Inger Gustavsson1, Karin Sundfeldt3, Matts Olovsson4, Stefan Enroth1, Ulf Gyllensten1.
Abstract
The indicating FTA elute micro card™ has been developed to collect and stabilize the nucleic acid in biological samples and is widely used in human and veterinary medicine and other disciplines. This card is not recommended for protein analyses, since surface treatment may denature proteins. We studied the ability to analyse proteins in human plasma and vaginal fluid as applied to the indicating FTA elute micro card™ using the sensitive proximity extension assay (PEA). Among 92 proteins in the Proseek Multiplex Oncology Iv2 panel, 87 were above the limit of detection (LOD) in liquid plasma and 56 among 92 above LOD in plasma applied to FTA cards. Washing and protein elution protocols were compared to identify an optimal method. Liquid-based cytology samples showed a lower number of proteins above LOD than FTA cards with vaginal fluid samples applied. Our results demonstrate that samples applied to the indicating FTA elute micro card™ are amendable to protein analyses, given that a sensitive protein detection assay is used. The results imply that biological samples applied to FTA cards can be used for DNA, RNA and protein detection.Entities:
Keywords: FTA Elute Card; Plasma; Proximity Extension Assay; Vaginal Fluid
Year: 2016 PMID: 28936257 PMCID: PMC5548362 DOI: 10.5772/64000
Source DB: PubMed Journal: J Circ Biomark ISSN: 1849-4544
Figure 1.Comparison of the NPX values for the 92 proteins in the Proseek Multiplex Oncology Iv2 panel from analysis of a sample applied to the indicating FTA elute micro card™ and eluted with either RIPA (y-axis) or PBS-Tween 20 buffer (x-axis). PBS-Tween reports slightly higher NPX-values for the majority of the 92 proteins.
List of proteins and percentage of samples over limit of detection (LOD) for each protein when using liquid plasma (left column) plasma on indicating FTA elute micro card™ stored for 24h (middle column) and 72h (right column)
| Protein | Plasma (% of samples over LOD) | 24 h (% of samples over LOD) | 72 h (% of samples over LOD) |
|---|---|---|---|
| IL-8 | 100% | 100% | 100% |
| VEGF-A | 100% | 100% | 100% |
| AM | 100% | 100% | 100% |
| GDF-15 | 100% | 100% | 100% |
| PlGF | 100% | 100% | 100% |
| CSF-1 | 100% | 100% | 100% |
| CSTB | 100% | 100% | 100% |
| MCP-1 | 100% | 100% | 100% |
| KLK6 | 100% | 100% | 100% |
| TRAIL-R2 | 100% | 100% | 100% |
| LAP-TGF-beta-1 | 100% | 100% | 100% |
| TF | 100% | 100% | 100% |
| TNF-R1 | 100% | 100% | 100% |
| PDGF-subunit-B | 100% | 100% | 100% |
| PARK7 | 100% | 100% | 100% |
| CXCL11 | 100% | 100% | 100% |
| VE-statin | 100% | 100% | 100% |
| IL-7 | 100% | 100% | 100% |
| SCF | 100% | 100% | 100% |
| CXCL9 | 100% | 100% | 100% |
| TNF-R2 | 100% | 100% | 100% |
| TNFSF14 | 100% | 100% | 100% |
| GH | 100% | 100% | 100% |
| FasL | 100% | 100% | 100% |
| FAS | 100% | 100% | 100% |
| CCL19 | 100% | 100% | 100% |
| EMMPRIN | 100% | 100% | 100% |
| CXCL10 | 100% | 100% | 100% |
| Ep-CAM | 100% | 100% | 100% |
| HGF | 100% | 100% | 100% |
| LITAF | 100% | 100% | 100% |
| CXCL5 | 100% | 100% | 100% |
| MK | 100% | 100% | 100% |
| U-PAR | 100% | 100% | 100% |
| CDH3 | 100% | 100% | 100% |
| LYN | 100% | 100% | 100% |
| Flt3L | 100% | 100% | 100% |
| HB-EGF | 100% | 100% | 100% |
| CD69 | 100% | 100% | 100% |
| TR-AP | 100% | 100% | 100% |
| CDKN1A | 100% | 100% | 100% |
| REG-4 | 100% | 100% | 100% |
| VEGF-D | 100% | 100% | 100% |
| HE4 | 100% | 100% | 100% |
| CXCL13 | 100% | 100% | 100% |
| CA-125 | 100% | 100% | 100% |
| PRSS8 | 100% | 100% | 100% |
| PECAM-1 | 100% | 100% | 100% |
| FR-alpha | 100% | 100% | 100% |
| TIE2 | 100% | 100% | 80% |
| MIC-A | 100% | 100% | 80% |
| IL-6 | 100% | 100% | 60% |
| ICOSLG | 100% | 100% | 60% |
| FS | 100% | 100% | 60% |
| NTRK3 | 100% | 100% | 20% |
| ILT-3 | 100% | 80% | 80% |
| VEGFR-2 | 100% | 80% | 80% |
| ITGA1 | 100% | 80% | 80% |
| ErbB3-HER3 | 100% | 60% | 80% |
| MIA | 100% | 60% | 80% |
| PTPN22 | 100% | 60% | 60% |
| SELE | 100% | 60% | 40% |
| FUR | 100% | 60% | 40% |
| AR | 100% | 60% | 20% |
| eIF-4B | 100% | 40% | 40% |
| EZR | 100% | 40% | 20% |
| PRL | 100% | 40% | 20% |
| IL-12 | 100% | 20% | 40% |
| MMP-1 | 100% | 20% | 40% |
| ErbB2-HER2 | 100% | 20% | 40% |
| TNFRSF4 | 100% | 20% | 40% |
| IL-6RA | 100% | 20% | 20% |
| BAFF | 100% | 20% | 20% |
| ErbB4-HER4 | 100% | 20% | 20% |
| NEMO | 100% | 20% | 20% |
| FADD | 100% | 20% | 0% |
| IFN-gamma | 100% | 20% | 0% |
| VIM | 100% | 0% | 40% |
| CASP-3 | 100% | 0% | 20% |
| CD40-L | 100% | 0% | 0% |
| IL-1ra | 100% | 0% | 0% |
| hK11 | 100% | 0% | 0% |
| CAIX | 100% | 0% | 0% |
| TGF-alpha | 100% | 0% | 0% |
| EGFR | 100% | 0% | 0% |
| THPO | 100% | 0% | 0% |
| IL-17RB | 100% | 0% | 0% |
| CEA | 80% | 20% | 20% |
| MYD88 | 80% | 0% | 20% |
| EPO | 80% | 0% | 0% |
| IL-2 | 60% | 80% | 100% |
| TNF | 40% | 100% | 100% |
Figure 2.Correlation between NPX values for all observations with measurements above the limit of detection at two time-points from cervicovaginal fluid samples stored on FTA cards for 24 h (x-axis) and 72 h (y-axis), Spearman's rho, R2=0.89, p-value < 2.2e-16
Figure 3.The overlap in proteins above LOD in 100% of the samples when analysing liquid plasma (plasma), plasma samples applied to the indicating FTA elute micro card™ and stored for 24 h (t24) and 72 h (t72) prior to analysis
Figure 4.The number of proteins detected over limit of detection (LOD) for the three washing methods as a function of the percentage of samples studied with a NPX value over the LOD
List of proteins and percentage of samples over the limit of detection (LOD) among the indicating FTA elute micro card™ samples (left column) and the Liguid-based cytology samples (right column); 2 of the 28 Liguid-based cytology samples did not pass the quality controls and were excluded. 7 proteins were detected in all 26 Liguid-based cytology samples, compared to 21 proteins that were detected in the 28 FTA samples.
| Protein | FTA elute micro cardTM (% of samples over LOD) | Protein | Liquid cytology samples (% of samples over LOD) |
|---|---|---|---|
| IL-8 | 100% | IL-8 | 100% |
| VEGF-A | 100% | VEGF-A | 100% |
| AM | 100% | IL-1ra | 100% |
| PlGF | 100% | CSTB | 100% |
| EZR | 100% | U-PAR | 100% |
| IL-1ra | 100% | HE4 | 100% |
| CSTB | 100% | PRSS8 | 100% |
| MCP-1 | 100% | MCP-1 | 96% |
| TNF-R1 | 100% | TNF-R1 | 96% |
| PARK7 | 100% | CEA | 96% |
| FADD | 100% | EZR | 92% |
| FAS | 100% | hK11 | 92% |
| EMMPRIN | 100% | Ep-CAM | 92% |
| LITAF | 100% | CXCL5 | 92% |
| CASP-3 | 100% | TF | 88% |
| CDKN1A | 100% | FAS | 88% |
| TGF-alpha | 100% | EMMPRIN | 88% |
| HE4 | 100% | CASP-3 | 88% |
| eIF-4B | 100% | FR-alpha | 88% |
| CA-125 | 100% | GDF-15 | 85% |
| PRSS8 | 100% | MK | 85% |
| GDF-15 | 96% | TGF-alpha | 85% |
| TF | 96% | CXCL13 | 85% |
| CXCL9 | 96% | VIM | 85% |
| PTPN22 | 96% | PlGF | 81% |
| CXCL10 | 96% | IL-6 | 81% |
| CXCL5 | 96% | CXCL10 | 77% |
| MK | 96% | HGF | 77% |
| U-PAR | 96% | AR | 77% |
| LYN | 96% | CXCL9 | 73% |
| CXCL13 | 96% | ErbB3-HER3 | 73% |
| CEA | 96% | TNF-R2 | 65% |
| FUR | 93% | TR-AP | 65% |
| Ep-CAM | 93% | KLK6 | 62% |
| AR | 93% | TRAIL-R2 | 62% |
| NEMO | 93% | FADD | 62% |
| KLK6 | 89% | LITAF | 62% |
| hK11 | 89% | NEMO | 62% |
| ErbB3-HER3 | 89% | eIF-4B | 62% |
| IL-6 | 82% | CA-125 | 58% |
| LAP-TGF-beta-1 | 82% | LAP-TGF-beta-1 | 50% |
| FasL | 82% | CSF-1 | 46% |
| CD69 | 82% | PARK7 | 46% |
| VIM | 82% | FUR | 46% |
| FR-alpha | 82% | CAIX | 42% |
| HGF | 79% | ErbB4-HER4 | 42% |
| ICOSLG | 79% | CD69 | 31% |
| CSF-1 | 71% | MIC-A | 31% |
| ErbB2-HER2 | 71% | AM | 27% |
| MIC-A | 71% | ErbB2-HER2 | 27% |
| VE-statin | 68% | Flt3L | 27% |
| CDH3 | 64% | CCL19 | 23% |
| Flt3L | 57% | PTPN22 | 23% |
| PECAM-1 | 57% | LYN | 23% |
| CCL19 | 54% | PECAM-1 | 23% |
| MYD88 | 54% | SCF | 15% |
| ILT-3 | 46% | HB-EGF | 15% |
| TNF-R2 | 46% | CXCL11 | 12% |
| PDGF-subunit-B | 39% | BAFF | 12% |
| TNF | 39% | TNFRSF4 | 12% |
| IL-7 | 36% | IL-12 | 8% |
| TNFSF14 | 36% | FasL | 8% |
| ErbB4-HER4 | 36% | MYD88 | 8% |
| ITGA1 | 36% | MIA | 8% |
| TRAIL-R2 | 32% | CDKN1A | 8% |
| CXCL11 | 32% | EGFR | 8% |
| SCF | 21% | ITGA1 | 8% |
| FS | 21% | FS | 8% |
| REG-4 | 18% | ILT-3 | 4% |
| HB-EGF | 14% | TIE2 | 4% |
| MMP-1 | 11% | PDGF-subunit-B | 4% |
| TIE2 | 7% | IL-2 | 4% |
| BAFF | 7% | IL-7 | 4% |
| MIA | 7% | IL-6RA | 4% |
| TNFRSF4 | 7% | MMP-1 | 4% |
| TR-AP | 7% | TNFSF14 | 4% |
| THPO | 7% | GH | 4% |
| NTRK3 | 7% | CDH3 | 4% |
| SELE | 4% | REG-4 | 4% |
| IL-12 | 4% | VEGF-D | 4% |
| PRL | 4% | IL-17RB | 4% |
| GH | 4% | CD40-L | 0% |
| CAIX | 4% | SELE | 0% |
| EGFR | 4% | EPO | 0% |
| CD40-L | 0% | VE-statin | 0% |
| EPO | 0% | PRL | 0% |
| IL-2 | 0% | TNF | 0% |
| IL-6RA | 0% | ICOSLG | 0% |
| VEGFR-2 | 0% | VEGFR-2 | 0% |
| IFN-gamma | 0% | IFN-gamma | 0% |
| VEGF-D | 0% | THPO | 0% |
| IL-17RB | 0% | NTRK3 | 0% |