scholarly journals Global analysis of nutrient control of gene expression in Saccharomyces cerevisiae during growth and starvation

2004 ◽  
Vol 101 (9) ◽  
pp. 3148-3153 ◽  
Author(s):  
J. Wu ◽  
N. Zhang ◽  
A. Hayes ◽  
K. Panoutsopoulou ◽  
S. G. Oliver
2002 ◽  
Vol 21 (22) ◽  
pp. 6162-6173 ◽  
Author(s):  
Ingo Zinke ◽  
Christina S. Schütz ◽  
Jörg D. Katzenberger ◽  
Matthias Bauer ◽  
Michael J. Pankratz

2011 ◽  
Vol 22 (15) ◽  
pp. 2787-2795 ◽  
Author(s):  
Sarah E. Munchel ◽  
Ryan K. Shultzaberger ◽  
Naoki Takizawa ◽  
Karsten Weis

RNA levels are determined by the rates of both transcription and decay, and a mechanistic understanding of the complex networks regulating gene expression requires methods that allow dynamic measurements of transcription and decay in living cells with minimal perturbation. Here, we describe a metabolic pulse-chase labeling protocol using 4-thiouracil combined with large-scale RNA sequencing to determine decay rates of all mRNAs in Saccharomyces cerevisiae. Profiling in various growth and stress conditions reveals that mRNA turnover is highly regulated both for specific groups of transcripts and at the system-wide level. For example, acute glucose starvation induces global mRNA stabilization but increases the degradation of all 132 detected ribosomal protein mRNAs. This effect is transient and can be mimicked by inhibiting the target-of-rapamycin kinase. Half-lives of mRNAs critical for galactose (GAL) metabolism are also highly sensitive to changes in carbon source. The fast reduction of GAL transcripts in glucose requires their dramatically enhanced turnover, highlighting the importance of mRNA decay in the control of gene expression. The approach described here provides a general platform for the global analysis of mRNA turnover and transcription and can be applied to dissect gene expression programs in a wide range of organisms and conditions.


1992 ◽  
Vol 18 (5) ◽  
pp. 693-700 ◽  
Author(s):  
Takayuki Ohshima ◽  
Xiao-Li Zhang ◽  
Shinji Iijima ◽  
Takeshi Kobayashi ◽  
Fumio Hishinuma

PLoS ONE ◽  
2016 ◽  
Vol 11 (2) ◽  
pp. e0148320 ◽  
Author(s):  
Anssi Rantasalo ◽  
Elena Czeizler ◽  
Riitta Virtanen ◽  
Juho Rousu ◽  
Harri Lähdesmäki ◽  
...  

2005 ◽  
Vol 25 (13) ◽  
pp. 5499-5513 ◽  
Author(s):  
Radharani Duttagupta ◽  
Bin Tian ◽  
Carol J. Wilusz ◽  
Danny T. Khounh ◽  
Patricia Soteropoulos ◽  
...  

ABSTRACT Regulation of mRNA turnover is an important cellular strategy for posttranscriptional control of gene expression, mediated by the interplay of cis-acting sequences and associated trans-acting factors. Pub1p, an ELAV-like yeast RNA-binding protein with homology to T-cell internal antigen 1 (TIA-1)/TIA-1-related protein (TIAR), is an important modulator of the decay of two known classes of mRNA. Our goal in this study was to determine the range of mRNAs whose stability is dependent on Pub1p, as well as to identify specific transcripts that directly bind to this protein. We have examined global mRNA turnover in isogenic PUB1 and pub1Δ strains through gene expression analysis and demonstrate that 573 genes exhibit a significant reduction in half-life in a pub1Δ strain. We also examine the binding specificity of Pub1p using affinity purification followed by microarray analysis to comprehensively distinguish between direct and indirect targets and find that Pub1p significantly binds to 368 cellular transcripts. Among the Pub1p-associated mRNAs, 53 transcripts encoding proteins involved in ribosomal biogenesis and cellular metabolism are selectively destabilized in the pub1Δ strain. In contrast, genes involved in transporter activity demonstrate association with Pub1p but display no measurable changes in transcript stability. Characterization of two candidate genes, SEC53 and RPS16B, demonstrate that both Pub1p-dependent regulation of stability and Pub1p binding require 3′ untranslated regions, which harbor distinct sequence motifs. These results suggest that Pub1p binds to discrete subsets of cellular transcripts and posttranscriptionally regulates their expression at multiple levels.


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