CDC16 and tuberculosis: By performing the DGE analysis based on 4 independent expression datasets, we found that 21 of 26 genes had significantly differential expressions between TB group and control group in mesenchymal stem cells, mice blood and lung tissues, as well as human alveolar macrophages; such as, CDC16, HIATL1, RCN3, FCHO1, and RPS5. These results are consistent with the primary assumption of the Sherlock-based Bayesian inference algorithm that aberrant expression of genes are more likely to convey risk to complex diseases [29].