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    Deep Multi-OMICs and Multi-Tissue Characterization in a Pre- and Postprandial State in Human Volunteers: The GEMM Family Study Research Design por Bastarrachea, Raúl A., Laviada Molina, Hugo A., Nava González, Edna Judith, Leal Berumen, Irene, Escudero Lourdes, Claudia, Escalante Araiza, Fabiola, Peschard, Vanessa Giselle, Veloz Garza, Rosa A., Haack, Karin, Martínez Hernández, Angélica, Barajas Olmos, Francisco M., Molina Segui, Fernanda, Buenfil Rello, Fatima A., Gonzalez Ramirez, Lucia, Janssen Aguilar, Reinhard, Lopez Muñoz, Ricardo, Perez Cetina, Fernanda, Gaytan Saucedo, Janeth F., Vaquera, Zoila, Cornejo Barrera, Judith, Castillo Pineda, Juan Carlos, Murillo Ramirez, Areli, Diaz Tena, Sara P., Figueroa Nuñez, Benigno, González López, Laura, Salinas Osornio, Rocío A., Valencia Rendón, Melesio E., Angeles Chimal, José, Santa Olalla Tapia, Jesús, Remes Troche, José M., Valdovinos Chávez, Salvador B., Huerta Ávila, Eira E., Han, Xianlin, Orozco, Lorena, Rodríguez Ayala, Ernesto, Weintraub, Susan, Gallegos Cabriales, Esther Carlota, Cole, Shelley A., Kent, Jack W.

    Publicado 2018
    “…A comprehensive profiling, including metabolomic signatures in blood and transcriptomic and proteomic profiling in SKM and ADT, was performed to describe tendencies for variation in postprandial response. Our data generation methods showed preliminary trends indicating that by characterizing the dynamic properties of biomarkers with metabolic activity and analyzing multi-OMICS data it could be possible, with this methodology and research design, to identify early trends for molecular biology systems and genes involved in the fasted and fed states.…”
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