Integrated genomic and proteomic analyses of a systematically perturbed metabolic network.

By Trey Ideker, Vesteinn Thorsson, J. Ranish, R. Christmas, Jeremy D. Buhler, Jimmy K. Eng, Roger E Bumgarner, D. Goodlett, R. Aebersold, Leroy Hood. Science, 2001

2,068 citations recorded by the source corpus.

Subfields: Molecular Biology

View Paper: https://www.semanticscholar.org/paper/aeafa058ad317b58d60d1561756a53ab80f7fffa

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In Molecular Biology

Citations in the corpus

The challenges of modeling mammalian biocomplexity (2004, background): “Current models of metabolic interactions For simple systems, the way in which intracellular biochemistry can be modeled is now becoming mature, especially for single-celled organisms such as Saccharomyces cerevisiae , and a clear approach that combines conventional metabolic pathway analysis at ”
Human protein reference database as a discovery resource for proteomics (2004, background): “Of course, ultimately one would like to have an integrated view of genomic as well as proteomic networks as has been demonstrated in the case of certain metabolic pathways in yeast (16).”
Proteomics: the first decade and beyond (2003, background): “Third, proteomic and genomic measurements done on the same system provide complementary informatio”
Discovering regulatory and signalling circuits in molecular interaction networks (2002, positive): “Along these lines, in recent work we used a molecular interaction network to analyse changes in expression observed over 20 perturbations to the yeast galactoseutilization (GAL) pathway (Ideker et al., 2001).”
Reverse engineering of regulatory networks in human B cells (2005, background): “where Yt is a vector representing the expression levels of all genes at time t, with expression levels ranging from 0 to 100, A is a matrix of gene regulatory interactions, T is a vector of threshold regulating values which causes the influence of each gene on its target to be proportional to its de”
RIP-Chip: the isolation and identification of mRNAs, microRNAs and protein components of ribonucleoprotein complexes from cell extracts (2006, background): “It is believed, however, that the steady-state levels of mRNAs in a cell do not always directly correlate with the steady-state protein level”
A new approach to decoding life: systems biology. (2001, background): “cerevisiae Integrated physical-interaction (61, 68, 120) network, Bayesian networks”
Applying mass spectrometry-based proteomics to genetics, genomics and network biology (2009, background): “In addition, changes in protein abundance cannot be simply inferred from DNA microarray data as mRNA abundance poorly correlates with protein abundanc”