Journal Article10.1016/J.MIB.2004.10.002
Sense and sensibility: nutritional response and signal integration in yeast.
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TL;DR: An as yet inchoate portrait of the yeast cells' means of processing its environmental information is painted, in which specific transcription factors and chromatin modifying activities coordinate input from several signaling pathways to yield an appropriate and coherent response of genes involved in mass accumulation and metabolism.
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About: This article is published in Current Opinion in Microbiology. The article was published on 01 Dec 2004.
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Citations
Sch9 is a major target of TORC1 in Saccharomyces cerevisiae
Jörg Urban,Alexandre Soulard,Alexandre Huber,Soyeon I. Lippman,Debdyuti Mukhopadhyay,Olivier Deloche,Valeria Wanke,Dorothea Anrather,Gustav Ammerer,Howard Riezman,James R. Broach,Claudio De Virgilio,Michael N. Hall,Robbie Loewith +13 more
TL;DR: The results suggest that Sch9 functions analogously to the mammalian TORC1 substrate S6K1 rather than the mTORC2 substrate PKB/Akt, and the AGC kinase Sch9 is a substrate of yeastTORC1.
848
Function and regulation in MAPK signaling pathways: Lessons learned from the yeast Saccharomyces cerevisiae
Raymond E. Chen,Jeremy Thorner +1 more
TL;DR: Recent advances and new insights about MAPK-based signaling that have been made through studies in yeast are highlighted, which provide lessons directly applicable to, and that enhance the understanding of,MAPK-mediated signaling in mammalian cells.
666
The putative high-affinity nitrate transporter NRT2.1 represses lateral root initiation in response to nutritional cues
Daniel Y. Little,Hongyu Rao,Sabrina Oliva,Françoise Daniel-Vedele,Anne Krapp,Jocelyn E. Malamy +5 more
TL;DR: It is proposed that Arabidopsis NRT2.1 acts either as a nitrate sensor or signal transducer to coordinate the development of the root system with nutritional cues and that this role is independent of nitrate uptake.
393
Qualitative network models and genome-wide expression data define carbon/nitrogen-responsive molecular machines in Arabidopsis
Rodrigo A. Gutiérrez,Rodrigo A. Gutiérrez,Laurence V. Lejay,Laurence V. Lejay,Alexis Dean,Francesca Chiaromonte,Dennis Shasha,Gloria M. Coruzzi +7 more
TL;DR: The network analysis of the systematic dataset of CN treatments indicates that CN sensing is a mechanism that coordinates the global and coordinated regulation of specific sets of molecular machines in the plant cell.
317
Nutrient regulates Tor1 nuclear localization and association with rDNA promoter
TL;DR: It is shown that Tor1 is dynamically distributed in the cytoplasm and nucleus in yeast, indicating that the spatial regulation of TOR complex 1 (TORC1) might be involved in differential control of its target genes.
316
References
Exploring the Metabolic and Genetic Control of Gene Expression on a Genomic Scale
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TL;DR: This work determines how most of the transcriptional regulators encoded in the eukaryote Saccharomyces cerevisiae associate with genes across the genome in living cells, and identifies network motifs, the simplest units of network architecture, and demonstrates that an automated process can use motifs to assemble a transcriptional regulatory network structure.
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Two TOR complexes, only one of which is rapamycin sensitive, have distinct roles in cell growth control
Robbie Loewith,Estela Jacinto,Stephan Wullschleger,Anja Lorberg,José L. Crespo,Debora Bonenfant,Wolfgang Oppliger,Paul Jenoe,Michael N. Hall +8 more
TL;DR: Two functionally distinct TOR complexes account for the diversity, specificity, and selective rapamycin inhibition of TOR signaling.
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Mitochondrial Signaling: The Retrograde Response
TL;DR: Mitochondrial retrograde signaling is a pathway of communication from mitochondria to the nucleus that influences many cellular and organismal activities under both normal and pathophysiological conditions.
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Systematic identification of pathways that couple cell growth and division in yeast.
Paul Jorgensen,Joy L. Nishikawa,Joy L. Nishikawa,Bobby-Joe Breitkreutz,Mike Tyers,Mike Tyers +5 more
TL;DR: Genetic analysis revealed a complex network of newly found factors that govern critical cell size at Start, the most potent of which were Sfp1, Sch9, Cdh1, Prs3, and Whi5.
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