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. 2021 Sep 29;20:100157. doi: 10.1016/j.mcpro.2021.100157

Table 2.

Markers for assessing sample handling variability of plasma within each pre-established proximity extension assay panel

Panel name First marker Second marker Third marker
Cardiometabolic MET (ρ = −0.52; p = 0.00573) TNC (ρ = −0.41; p = 0.0336) FCGR2A (ρ = −0.36; p = 0.0667)
Cardiovascular II CD40L (ρ = 1.00; p = NA) SRC (ρ = 0.80; p = 6.44e-07) HSP27 (ρ = 0.78; p = 1.57e-06)
Cardiovascular III CASP-3 (ρ = 0.88; p = 1.79e-09) JAM-A (ρ = 0.85; p = 1.48e-08) PAI (ρ = 0.66; p = 0.000176)
Cell regulation MAP2K6 (ρ = 0.78; p = 2.33e-06) LRMP (ρ = 0.76; p = 6.91e-06) METAP1D (ρ = 0.74; p = 1.65e-05)
Development CD69 (ρ = 0.86; p = 7.69e-09) SNAP29 (ρ = 0.86; p = 9.77e-09) PPIB (ρ = 0.86; p = 1.12e-08)
Immune response PLXNA4 (ρ = 0.79; p = 1.59e-06) PRDX5 (ρ = 0.78; p = 2.16e-06) EIF4G1 (ρ = 0.76; p = 7.8e-06)
Inflammation AXIN-1 (ρ = 0.74; p = 1.76e-05) STAM-BP (ρ = 0.74; p = 1.82e-05) ST1A1 (ρ = 0.73; p = 2.06e-05)
Metabolism CA13 (ρ = 0.81; p = 4.07e-07) PPP1R2 (ρ = 0.77; p = 2.77e-06) CD2AP (ρ = 0.74; p = 9.59e-06)
Neuroexploratory KIF1BP (ρ = 0.88; p = 1.91e-08) CD63 (ρ = 0.81; p = 1.51e-06) PMVK (ρ = 0.81; p = 1.61e-06)
Neurology MANF (ρ = 0.83; p = 2.94e-07) LAT (ρ = 0.81; p = 7.45e-07) CLEC1B (ρ = 0.79; p = 2.35e-06)
Oncology II EGF (ρ = 0.91; p = 6.7e-10) FADD (ρ = 0.72; p = 7.23e-05) TXLNA (ρ = 0.69; p = 0.000176)
Oncology III GOPC (ρ = 0.81; p = 4.41e-07) CALCOCO1 (ρ = 0.78; p = 2.7e-06) CLIP2 (ρ = 0.77; p = 4.19e-06)
Organ damage BANK1 (ρ = 0.79; p = 2.5e-06) YES1 (ρ = 0.78; p = 4.35e-06) STX8 (ρ = 0.76; p = 1.03e-05)

The top three biomarkers for assessing sample handling variability of plasma are listed for each assay panel. Measures were determined and ranked by their predictability of CD40L in a cohort of healthy individuals (n = 28) using a simple linear regression. The Pearson's correlation coefficient (ρ) and probability (p) are listed for each protein.

Abbreviations: BANK1, B cell scaffold protein with ankyrin repeats 1; CA13, carbonic anhydrase 13; CALCOCO1,calcium-binding and coiled-coil domain–containing protein 1; CASP-3, caspase 3; CD2AP, CD2-associated protein; CD40L, cluster differentiation 40 ligand; CD63, cluster differentiation 63; CD69, cluster differentiation 69; CLEC1B, C-type lectin domain family 1, member B; CLIP2, CAP-Gly domain–containing linker protein 2; EGF, epidermal growth factor; EIF4G1, eukaryotic translation initiation factor 4 gamma 1; FADD, Fas-associated protein with death domain; FCGR2A, Fc fragment of IgG receptor 2A; GOPC, Golgi-associated PDZ and coiled-coil motif–containing protein; HSP27, heat shock protein 27; JAM-A, junctional adhesion molecule A; KIF1BP, kinesin family member 1-binding protein; LAT, linker for activation of T cells; LRMP, lymphoid-restricted membrane protein; MANF, mesencephalic astrocyte-derived neurotrophic factor; MAP2K6, mitogen-activated protein kinase kinase 6; MET, mesenchymal epithelial transition; METAP1D, methionyl aminopeptidase type 1D; NA, not available; PAI, plaminogen activator inhibitor; PLXNA4, plexin A4; PMVK, phosphomevalonate kinase; PPIB, peptidylprolyl isomerase B; PPP1R2, protein phosphatase inhibitor 2; PRDX5, peroxiredoxin-5; SNAP29, synaptosomal-associated protein 29; SRC, Src family of protein kinases; ST1A1, sulfotransferase 1A1; STAM-BP, signal-tranducing adaptor molecule binding protein; STX8, syntaxin 8; TNC, tenascin C; TXLNA, taxilin alpha; YES1, YES proto-oncogene 1, Src family tyrosine kinase.