Literature DB >> 12796300

Rapamycin treatment results in GATA factor-independent hyperphosphorylation of the proline utilization pathway activator in Saccharomyces cerevisiae.

Deepti Saxena1, K B Kannan, Marjorie C Brandriss.   

Abstract

Treatment of Saccharomyces cerevisiae cells with the immunosuppressive drug rapamycin results in a variety of cellular changes in response to perceived nutrient deprivation. Among other effects, rapamycin treatment results in the nuclear localization of the global nitrogen activators Gln3p and Nil1p/Gat1p, which leads to expression of nitrogen assimilation genes. The proline utilization (Put) pathway genes were shown to be among the genes induced by rapamycin. Having previously shown that the Put pathway activator Put3p is differentially phosphorylated in response to the quality of the nitrogen source, we examined the phosphorylation status of Put3p after rapamycin treatment. Treatment with rapamycin resulted in the hyperphosphorylation of Put3p, which was independent of Gln3p, Nil1p, and Ure2p. The relative contributions of global nitrogen (Gln3p and Nil1p) and pathway-specific (Put3p) activators to rapamycin-induced expression of the target gene PUT1 were also examined. We found that Nil1p and Put3p, but not Gln3p, play major roles in rapamycin-induced PUT1 expression. Our findings show that perceived nitrogen deprivation triggered by rapamycin treatment and steady-state growth in nitrogen-derepressing conditions are associated with hyperphosphorylation of Put3p and increased PUT1 expression. Rapamycin treatment and nitrogen derepression may share some, but not all, regulatory elements, since Gln3p and Nil1p do not participate identically in both processes and are not required for hyperphosphorylation. A complex relationship exists among the global and pathway-specific regulators, depending on the nature and quality of the nitrogen source.

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Year:  2003        PMID: 12796300      PMCID: PMC161436          DOI: 10.1128/EC.2.3.552-559.2003

Source DB:  PubMed          Journal:  Eukaryot Cell        ISSN: 1535-9786


  60 in total

1.  The TOR signalling pathway controls nuclear localization of nutrient-regulated transcription factors.

Authors:  T Beck; M N Hall
Journal:  Nature       Date:  1999-12-09       Impact factor: 49.962

2.  Rapamycin-modulated transcription defines the subset of nutrient-sensitive signaling pathways directly controlled by the Tor proteins.

Authors:  J S Hardwick; F G Kuruvilla; J K Tong; A F Shamji; S L Schreiber
Journal:  Proc Natl Acad Sci U S A       Date:  1999-12-21       Impact factor: 11.205

3.  The regulator of the yeast proline utilization pathway is differentially phosphorylated in response to the quality of the nitrogen source.

Authors:  H L Huang; M C Brandriss
Journal:  Mol Cell Biol       Date:  2000-02       Impact factor: 4.272

4.  The TOR signaling cascade regulates gene expression in response to nutrients.

Authors:  M E Cardenas; N S Cutler; M C Lorenz; C J Di Como; J Heitman
Journal:  Genes Dev       Date:  1999-12-15       Impact factor: 11.361

5.  Nitrogen catabolite repression of DAL80 expression depends on the relative levels of Gat1p and Ure2p production in Saccharomyces cerevisiae.

Authors:  T S Cunningham; R Andhare; T G Cooper
Journal:  J Biol Chem       Date:  2000-05-12       Impact factor: 5.157

6.  Cross-pathway regulation in Saccharomyces cerevisiae: activation of the proline utilization pathway by Ga14p in vivo.

Authors:  M D'Alessio; M C Brandriss
Journal:  J Bacteriol       Date:  2000-07       Impact factor: 3.490

7.  Two mutually exclusive regulatory systems inhibit UASGATA, a cluster of 5'-GAT(A/T)A-3' upstream from the UGA4 gene of Saccharomyces cerevisiae.

Authors:  B André; D Talibi; S Soussi Boudekou; C Hein; S Vissers; D Coornaert
Journal:  Nucleic Acids Res       Date:  1995-02-25       Impact factor: 16.971

8.  Roles of URE2 and GLN3 in the proline utilization pathway in Saccharomyces cerevisiae.

Authors:  S Xu; D A Falvey; M C Brandriss
Journal:  Mol Cell Biol       Date:  1995-04       Impact factor: 4.272

9.  Cis- and trans-acting elements determining induction of the genes of the gamma-aminobutyrate (GABA) utilization pathway in Saccharomyces cerevisiae.

Authors:  D Talibi; M Grenson; B André
Journal:  Nucleic Acids Res       Date:  1995-02-25       Impact factor: 16.971

10.  UASNTR functioning in combination with other UAS elements underlies exceptional patterns of nitrogen regulation in Saccharomyces cerevisiae.

Authors:  R Rai; J R Daugherty; T G Cooper
Journal:  Yeast       Date:  1995-03       Impact factor: 3.239

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  6 in total

1.  The forkhead transcription factor Hcm1 promotes mitochondrial biogenesis and stress resistance in yeast.

Authors:  Maria José Rodriguez-Colman; Gemma Reverter-Branchat; M Alba Sorolla; Jordi Tamarit; Joaquim Ros; Elisa Cabiscol
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2.  Modulation of transcription factor function by an amino acid: activation of Put3p by proline.

Authors:  Christopher A Sellick; Richard J Reece
Journal:  EMBO J       Date:  2003-10-01       Impact factor: 11.598

3.  Mutation of a phosphorylatable residue in Put3p affects the magnitude of rapamycin-induced PUT1 activation in a Gat1p-dependent manner.

Authors:  Michael K Leverentz; Robert N Campbell; Yvonne Connolly; Anthony D Whetton; Richard J Reece
Journal:  J Biol Chem       Date:  2009-07-01       Impact factor: 5.157

4.  PP2A phosphatase activity is required for stress and Tor kinase regulation of yeast stress response factor Msn2p.

Authors:  Arti Santhanam; Alan Hartley; Katrin Düvel; James R Broach; Stephen Garrett
Journal:  Eukaryot Cell       Date:  2004-10

5.  The proline-dependent transcription factor Put3 regulates the expression of the riboflavin transporter MCH5 in Saccharomyces cerevisiae.

Authors:  Andrea Spitzner; Angelika F Perzlmaier; Kerstin E Geillinger; Petra Reihl; Jürgen Stolz
Journal:  Genetics       Date:  2008-10-20       Impact factor: 4.562

6.  The ability of transcription factors to differentially regulate gene expression is a crucial component of the mechanism underlying inversion, a frequently observed genetic interaction pattern.

Authors:  Saman Amini; Annika Jacobsen; Olga Ivanova; Philip Lijnzaad; Jaap Heringa; Frank C P Holstege; K Anton Feenstra; Patrick Kemmeren
Journal:  PLoS Comput Biol       Date:  2019-05-13       Impact factor: 4.475

  6 in total

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