Establishing links between developmental signaling pathways and cell-cycle regulation in Drosophila

Abstract Acute myeloid leukemia (AML) remains a life threatening malignancy in children. Considerable progress has been made in elucidating the new diagnostic and prognostic markers over the past decades. The precise etiology remains unclear. Therefore, it is essential to evaluate the activation of the components of cellular signaling pathways to understand AML signaling and to design the most successful approach for combinational therapies and new kinase inhibitors. In this study, we used a high-throughput PepChipTMKinomics microarray system containing 976 different kinase substrates and assayed primary leukemic samples of 96 AML patients to produce an exceptionally detailed map of kinome enzymatic activities towards predefined peptide substrates. The generated profiles provide a comprehensive insight in signaling pathways active in AML patients. As expected the activation of proteins belonging to MAPK signaling, PI3K/AKT signaling, cell cycle regulation, apoptosis and insulin signaling pathways along with the signaling receptors and immune system regulators were found. Unsupervised hierarchical cluster analysis separates the AML blast profiles based on 192 peptide activities into two clusters. Cumulative incidence of relapse (CIR) was significantly higher in the patients of cluster-2. Peptide activity patterns were independent of patient characteristics. In addition, with Gaussian network modeling, a total of 540 peptides (55%) showed at least one peptide-peptide association without a prior assumptions whereas 74 peptides (7.5%) had >39 nodes suggesting to be potential interesting signaling hubs. Among these 74 peptides, 10 peptides were identified in cluster-1 and 50 peptides were in cluster-2. Thus, this total analysis defined peptides correlated to low incidence for relapse, for examples AKT1, HGFR, RGS7 and to high incidence for relapse for instance, proteins involve in MAPK pathways (RAF1, RAC1,14-3-3 eta) and cell cycle regulation and cellular growth (c-Myc, FOXO3A, RBL1). In conclusion, our study demonstrates the feasibility of peptide activity profiling to identify two active signaling network clusters in pediatric AML correlated to CIR. Highly correlated peptides belonging to cluster-2 provide stronger leads for selection of novel targets in future therapeutics. Disclosures No relevant conflicts of interest to declare.

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Transcriptional response of skeletal muscle to a low-protein gestation diet in porcine offspring accumulates in growth- and cell cycle-regulating pathways

Physiological Genomics ◽

10.1152/physiolgenomics.00050.2012 ◽

2012 ◽

Vol 44 (16) ◽

pp. 811-818 ◽

Cited By ~ 8

Author(s):

Michael Oster ◽

Eduard Murani ◽

Cornelia C. Metges ◽

Siriluck Ponsuksili ◽

Klaus Wimmers

Keyword(s):

Gene Expression ◽

Cell Cycle ◽

Skeletal Muscle ◽

Signaling Pathways ◽

Cell Cycle Regulation ◽

Acid Metabolism ◽

Energy Utilization ◽

Nucleic Acid Metabolism ◽

Growth Factor Signaling ◽

Cycle Regulation

Inadequate maternal protein supply during gestation represents an environmental factor that affects physiological signaling pathways with long-term consequences for growth, function, and structure of various tissues. Hypothesizing that the offspring's transcriptome is persistently altered by maternal diets, we used a porcine model to monitor the longitudinal expression changes in muscle to identify pathways relevant to fetal initiation of postnatal growth and development. German Landrace gilts were fed isoenergetic gestational diets containing 6.5% (LP) or 12.1% protein. The longissimus dorsi samples were collected from offspring at 94 days postconception (dpc) and 1, 28, and 188 days postnatum (dpn) for expression profiling. At 94 dpc, 1 dpn, and 28 dpn relatively few transcripts (<130) showed an altered abundance between the dietary groups. In fact, at 94 dpc genes of G2/M checkpoint regulation and mitotic roles of Polo-like kinases showed lowered transcript abundance in LP. At 188 dpn 677 transcripts were altered including those related to oxidative phosphorylation, citrate cycle, fatty acid metabolism (higher abundance in LP) and cell cycle regulation (lower abundance in LP). Correspondingly, transcriptional alterations during pre and postnatal development differed considerably among dietary groups, particularly for genes related to cell cycle regulation (G1/S and G2/M checkpoint regulation; cyclines), growth factor signaling (GH, IGF1, mTOR, RAN, VEGF, INSR), lipid metabolism, energy metabolism, and nucleic acid metabolism. In skeletal muscle, fetal programming related to maternal LP diets disturbed gene expression in growth-related pathways into adulthood. Diet-dependent gene expression may hamper proper development, thereby affecting signaling pathways related to energy utilization.

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