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. 2022 Sep;192(9):1259–1281. doi: 10.1016/j.ajpath.2022.06.002

Table 3.

Differential Activation of Upstream Regulators by Slc-HKO Livers Compared with WT Controls (Chow Diet, 3 months)

Upstream regulator Predicted activation state Activation Z score P value of overlap
PPARA Inhibited −2.9 2.97 × 10−07
SLC27A2 Activated 3.1 6.59 × 10−06
XBP1 Activated 3.8 1.68 × 10−05
CLPP Activated 2.5 2.75 × 10−04
ERN1 Activated 2.2 2.24 × 10−03
PCK1 Activated 2.0 2.58 × 10−03
KLF15 Inhibited 2.6 4.85 × 10−03
LPL Inhibited −2.2 6.63 × 10−03
ELL2 Activated 2.6 8.85 × 10−03
SREBF1 Activated 2.0 9.04 × 10−03
miR-223 Activated 2.7 1.46 × 10−02
miR-30c-5p (and other miRNAs with seed GUAAACA) Inhibited 2.3 1.46 × 10−02
MEX3A Activated 2.2 1.81 × 10−02
PTPRR Inhibited 2.3 1.82 × 10−02
ZBTB7B Inhibited 2.2 2.50 × 10−02
MYCN Activated 2.2 2.59 × 10−02
TP63 Activated 2.8 3.93 × 10−02
miR-10 Inhibited 2.4 4.27 × 10−02
TP73 Activated 2.2 4.88 × 10−02

“Upstream Regulator” is defined by Ingenuity Pathway Analysis as any molecule that can affect the expression of other molecules. Nineteen upstream regulators were identified (Z score less than −2 and >2; P value of overlap <0.05). Bold indicates metabolic relevance.

Slc-HKO, hepatocyte-specific Slc25a34 knockout; WT, wild type.