55 research outputs found

    Computational Prediction and Experimental Verification of New MAP Kinase Docking Sites and Substrates Including Gli Transcription Factors

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    In order to fully understand protein kinase networks, new methods are needed to identify regulators and substrates of kinases, especially for weakly expressed proteins. Here we have developed a hybrid computational search algorithm that combines machine learning and expert knowledge to identify kinase docking sites, and used this algorithm to search the human genome for novel MAP kinase substrates and regulators focused on the JNK family of MAP kinases. Predictions were tested by peptide array followed by rigorous biochemical verification with in vitro binding and kinase assays on wild-type and mutant proteins. Using this procedure, we found new β€˜D-site’ class docking sites in previously known JNK substrates (hnRNP-K, PPM1J/PP2Czeta), as well as new JNK-interacting proteins (MLL4, NEIL1). Finally, we identified new D-site-dependent MAPK substrates, including the hedgehog-regulated transcription factors Gli1 and Gli3, suggesting that a direct connection between MAP kinase and hedgehog signaling may occur at the level of these key regulators. These results demonstrate that a genome-wide search for MAP kinase docking sites can be used to find new docking sites and substrates

    Analysis of the gene sequences of the insulin receptor and the insulin-sensitive glucose transporter (GLUT-4) in patients with common-type non-insulin-dependent diabetes mellitus.

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    Insulin resistance is a common feature of non-insulin-dependent diabetes mellitus (NIDDM) and "diabetes susceptibility genes" may be involved in this abnormality. Two potential candidate genes are the insulin receptor (IR) and the insulin-sensitive glucose transporter (GLUT-4). To elucidate whether structural defects in the IR and/or GLUT-4 could be a primary cause of insulin resistance in NIDDM, we have sequenced the entire coding region of the GLUT-4 gene from DNA of six NIDDM patients. Since binding properties of the IRs from NIDDM subjects are normal, we also analyzed the sequence of exons 16-22 (encoding the entire cytoplasmic domain of the IR) of the IR gene from the same six patients. When compared with the normal IR sequence, no difference was found in the predicted amino acid sequence of the IR cytoplasmic domain derived from the NIDDM patients. Sequence analysis of the GLUT-4 gene revealed that one patient was heterozygous for a mutation in which isoleucine (ATC) was substituted for valine (GTC) at position 383. Consequently, the GLUT-4 sequence at position 383 was determined in 24 additional NIDDM patients and 30 nondiabetic controls and all showed only the normal sequence. From these studies, we conclude that the insulin resistance seen in the great majority of subjects with the common form of NIDDM is not due to genetic variation in the coding sequence of the IR beta subunit, nor to any single mutation in the GLUT-4 gene. Possibly, a subpopulation of NIDDM patients exists displaying variation in the GLUT-4 gene

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