Interferon -Inducible Protein 27 Computational Network Construction and Comparison between the Frontal Cortex of HIV Encephalitis (HIVE) and HIVE-Control Patients

Abstract

Interferon � -inducible protein 27 (IFI27) computational network construction and analysis of frontal cortex of HIV encephalitis (HIVE) is very useful to identify novel markers and potential targets for prognosis and therapy. Based on integrated gene regulatory network infer (GRNInfer) method by linear programming and a decomposition procedure with analysis of the significant function cluster using Kappa statistics and fuzzy heuristic clustering from DAVID, we identified and constructed significant molecular IFI27 networks from 12 frontal cortex of HIVE-control patients and 16 HIVE in the same GEO Dataset GDS1726. Our integrative results reflected an IFI27 membrane module only in the up- stream of the frontal cortex of HIVE-control patients (BTN3A2, RASGRP3, ROR1 inhibition), and the frontal cortex of HIVE (DGKG, LY96 activation; RASGRP3 inhibition); IFI27 organelle only in the upstream of HIVE-control patients (CREB5, OAS1, PDCD4 activation), and HIVE (PDCD4 activation; ZC3HAV1, ZNF652 inhibition); IFI27 sequence variant only in the upstream of HIVE-control patients (ISG15_2, OAS1, TNFRSF11B activation; BTN3A2, LCAT, ROR1 inhibition), and HIVE (CFB, DGKG, LCAT, LY96 activation; ISG15_2, TNFRSF11B, ZC3HAV1 inhibition).