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Fig. 4 | Theoretical Biology and Medical Modelling

Fig. 4

From: Proteins interaction network and modeling of IGVH mutational status in chronic lymphocytic leukemia

Fig. 4

Visualization of a sequence of states. a. The columns of the table represent consecutive states of the time series. b. Steady-state attractor of the network from initial state determined by microarray analysis. Genes are encoded in the following order: AEBP1 AFF1 AICDA AKAP12 AKT3 ALOX5 ANXA2 APLP2 APOBEC3G APP BLNK BMI1 CASP3 CAV1 CCL5 CCND2 CD27 CD63 CD69 CD70 CD79A CD81 CD86 CHST2 CNR1 CREM CSDA CSNK2A2 CTSB CUL5 DPP4 EED EGR1 EZH2 FCER2 FGFR1 FOS FRK FYN GSK3B H2AFX HDAC9 HIST1H3H HIST2H2AA3 HSP90AA1 HSP90B1 IFNGR2 IGF1R IL10RA IL7 ILK INPP5D JAK1 LGALS1 LIG1 LMNA LPL MAP2K6 MAP4K4 MARCKS MGAT5 MIF MYL9 MYLK NAB1 NCOR2 NFE2L2 NOTCH2 OGT PAX3 PCNA PLD1 PRF1 PRKCA PTCH1 PTEN RFC5 RPS6KA5 RRM1 RUNX3 SELL SELP SIAH1 SKI TCF3 TNF TNFRSF1B VDR CD74 ADM TGFBR3. Active genes in this attractor state were: AFF1, APLP2, APP, BMI1, CD27, CD81, CD86, CREM, CUL5, EED, EZH2, FYN, GSK3B, HIST2H2AA3, HSP90B1, IL10RA, ILK, MARCKS, MGAT5, RRM1, SKI

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