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. Author manuscript; available in PMC: 2014 Oct 4.
Published in final edited form as: J Proteome Res. 2013 Sep 18;12(10):10.1021/pr4005103. doi: 10.1021/pr4005103

Table 1.

Differentially-expressed proteins in 42 week-old CVN-AD versus WT mice.*

Protein Name Protein Description Fold Change ANOVA P-value Cohen’s d # Peptides AD Association Ms Model Proteomics Human AD Proteomics
C1QB Complement C1q subcomponent subunit B 3.9 6.15E-04 14.25 1 26, 94, 95 26 -
C1QC Complement C1q subcomponent subunit C 3.6 0.001 4.50 1 26, 94, 95 26 -
APOE Apolipoprotein E 2.6 0.01 9.79 19 26, 34, 35 26 -
GFAP Glial fibrillary acidic protein 2.4 0.039 10.30 48 26–28, 32–34 26, 27 28
CH047 Uncharacterized protein C8orf47 homolog 2.4 0.04 3.31 2 - - -
PP2BC Serine/threonine-protein phosphatase 2B catalytic subunit gamma 1.9 0.019 2.93 2 96 - -
DYN2 Dynamin-2 1.9 1.38E-09 5.24 5 97, 98 98 -
MRP6 Multidrug resistance-associated protein 6 1.8 0.028 3.79 2 - - -
RAB43 Ras-related protein Rab-43 1.7 0.005 4.08 5 - - -
UK114 Ribonuclease UK114 1.7 4.34E-04 4.58 4 - - -
PRDX6 Peroxiredoxin-6 1.5 0.009 5.96 24 26 26 -
LYST Lysosomal-trafficking regulator 1.5 0.042 1.91 2 - - -
GLOD 4 Isoform 3 of Glyoxalase domain-containing protein 4 1.3 <1.00E-06 2.48 10 - - -
AMPL Isoform 2 of Cytosol aminopeptidase 1.3 0.04 2.23 6 - - -
LXN Latexin 1.2 0.044 1.71 3 - - -
ENPL Endoplasmin 1.2 1.16E-05 1.88 18 99, 100 - -
PRDX3 Thioredoxin-dependent peroxide reductase 1.2 0.014 1.83 11 101 - -
SIRT2 NAD-dependent deacetylase sirtuin-2 −1.2 4.12E-06 1.79 18 102, 103 - -
AINX Alpha-internexin −1.2 <1.00E-06 1.85 53 104 104 -
MOG Myelin-oligodendrocyte glycoprotein −1.2 0.028 2.54 10 - - -
NIN Ninein −1.8 2.02E-13 3.28 2 - - -
*

Differentially expressed proteins are listed with references citing previously published AD-associations, as well as references of differential expression in AD model and human AD proteomic studies. Determination of significance was made by using an ANOVA p-value <0.05 and a Cohen’s d effect size > 1.7. To compensate for the low number of replicates, an intensity-based error was used in the calculation of effect size (Supplemental Figure 1). This decreases the influence of erroneous high precision in some measurements, enabling the effect size to be determined by using a moving average of variability, which better approximates the variability at a given point. An effect size of 1.7 indicates that the mean of one group is positioned at the 95th percentile of the other group in a binary comparison 50. The use of Cohen’s d along with ANOVA calculations therefore enables a high degree of confidence that low P-values indeed demonstrate significance even for comparisons with lower apparent fold changes.