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. 2022 Mar 12;19:15. doi: 10.1186/s12979-022-00268-x

Table 4.

Differences in the proportions of immune cell types between EBV expression positive and negative samples

Cell type EBV pos median % EBV neg median % p-value
B cells, naive 5.73 5.04 0.971
B cells, memory 0.00 0.00 0.287
Plasma cells 3.41 2.88 0.185
T cells, CD8 2.41 2.34 0.985
T cells, CD4 naive 4.57 4.44 0.823
T cells, CD4 memory resting 5.01 7.48 0.389
T cells, CD4 memory activated 3.65 2.24 0.096
T cells, follicular helper 0.00 0.00 0.419
T cells, regulatory 0.00 0.15 0.291
T cells, gamma delta 1.08 0.00 0.432
NK cells, resting 7.17 7.79 0.354
NK cells, activated 0.00 0.00 0.620
Monocytes 9.79 6.23 0.235
Macrophages, M0 3.49 2.42 0.422
Macrophages, M1 0.00 0.53 0.043
Macrophages, M2 0.00 0.00 0.987
Dendritic cells, resting 0.96 0.78 0.696
Dendritic cells, activated 2.91 1.67 0.004
Mast cells, resting 3.01 1.04 0.187
Mast cells, activated 0.00 0.10 0.007
Eosinophils 0.75 0.74 0.848
Neutrophils 6.52 5.04 0.256

Each of the 22 functionally defined human hematopoietic cell subsets included in the CIBERSORTx LM22 data were tested using non-parametric Mann-Whitney U-test. Of the 215 samples for which CIBERSORTx provided a high confidence deconvolution result, 43 samples had EBV expression compared to the 172 samples that did not. CIBERSORTx results are given as relative proportions of the 22 cell types and the median values for EBV expression positive and negative samples for each cell type are shown in this table as percentages. The cell types with significant p-values are shown in bold