Skip to main content
. 2017 Mar 29;11(4):341–356. doi: 10.1007/s12079-017-0389-3

Table 6.

Modular response analysis (MRA) results

Regulation of STAT3 by
 Dataset Akt Erk p38 JNK
HME
 BVSA-cell N/I −0.887 ± 0.139 −0.802 ± 0.174 N/I
 BVSA-both 0.049 ± 0.106 −0.872 ± 0.139 −0.778 ± 0.180 N/I
 MRA-0 0.260 ± 0.136 −0.579 ± 0.174 −0.715 ± 0.145 0.408 ± 0.158
 MRA-1 N/I -0.796 ± 0.174 −0.811 ± 0.169 0.156 ± 0.161
 MRA-2 N/I -0.887 ± 0.139 −0.802 ± 0.174 N/I
MDA-MB-231
 BVSA-cell 0.600 ± 0.074 N/I N/I N/I
 BVSA-both 0.487 ± 0.127 0.360 ± 0.458 0.004 ± 0.392 N/I
 MRA-0 (90.8
vs 9.2%)a
0.767 ± 0.333 −1.305 ± 0.464
1.634 ± 0.483
−0.210 ± 0.372 2.954 ± 0.771
−2.623 ± 0.848
 MRA-1 (90.2
vs 9.8%)a
0.760 ± 0.354 −1.651 ± 0.543
2.176 ± 0.545
N/I 3.170 ± 0.853
−2.994 ± 0.898
 MRA-2 (17.7
vs 82.3%)a
N/I −1.985 ± 0.547
2.288 ± 0.420
N/I 3.753 ± 0.846
−3.212 ± 0.689
 MRA-3 0.600 ± 0.074 N/I N/I N/I

Notation used in this table is the same as in Table 2

aAs discussed in the main text, estimated interaction strengths for STAT3 ← Erk and STAT3 ← JNK interactions had bimodal distributions in some of the analyzed cases. These values report the percentage of the runs that resulted in the indicated modes, respectively