Candidate target genes for the Saccharomyces cerevisiae transcription factor, Yap2

2013 ◽  
Vol 58 (5) ◽  
pp. 403-408 ◽  
Author(s):  
Seo Young Bang ◽  
Jeong Hoon Kim ◽  
Phil Young Lee ◽  
Seung-Wook Chi ◽  
Sayeon Cho ◽  
...  
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Target Genes ◽  
Candidate Target

scholarly journals Differential activation mechanisms of two isoforms of Gcr1 transcription factor generated from spliced and un-spliced transcripts in Saccharomyces cerevisiae

2020 ◽  
Author(s):  
Seungwoo Cha ◽  
Chang Pyo Hong ◽  
Hyun Ah Kang ◽  
Ji-Sook Hahn
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Target Genes ◽  
Gene Encoding ◽  
Metabolic Switch ◽  
Differential Activation ◽  
N Terminus ◽  
Activation Mechanisms ◽  
In Trans ◽  
Separate Activation

Abstract Gcr1, an important transcription factor for glycolytic genes in Saccharomyces cerevisiae, was recently revealed to have two isoforms, Gcr1U and Gcr1S, produced from un-spliced and spliced transcripts, respectively. In this study, by generating strains expressing only Gcr1U or Gcr1S using the CRISPR/Cas9 system, we elucidate differential activation mechanisms of these two isoforms. The Gcr1U monomer forms an active complex with its coactivator Gcr2 homodimer, whereas Gcr1S acts as a homodimer without Gcr2. The USS domain, 55 residues at the N-terminus existing only in Gcr1U, inhibits dimerization of Gcr1U and even acts in trans to inhibit Gcr1S dimerization. The Gcr1S monomer inhibits the metabolic switch from fermentation to respiration by directly binding to the ALD4 promoter, which can be restored by overexpression of the ALD4 gene, encoding a mitochondrial aldehyde dehydrogenase required for ethanol utilization. Gcr1U and Gcr1S regulate almost the same target genes, but show unique activities depending on growth phase, suggesting that these isoforms play differential roles through separate activation mechanisms depending on environmental conditions.

scholarly journals Activity of the Yap1 Transcription Factor in Saccharomyces cerevisiae Is Modulated by Methylglyoxal, a Metabolite Derived from Glycolysis

2004 ◽  
Vol 24 (19) ◽  
pp. 8753-8764 ◽  
Author(s):  
Kazuhiro Maeta ◽  
Shingo Izawa ◽  
Shoko Okazaki ◽  
Shusuke Kuge ◽  
Yoshiharu Inoue
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Disulfide Bond ◽  
Target Genes ◽  
Cysteine Residue ◽  
Cysteine Residues ◽  
Glyoxalase I ◽  
Toxic Metabolite ◽  
Basic Leucine Zipper

ABSTRACT Methylglyoxal (MG) is synthesized during glycolysis, although it inhibits cell growth in all types of organisms. Hence, it has long been asked why such a toxic metabolite is synthesized in vivo. Glyoxalase I is a major enzyme detoxifying MG. Here we show that the Yap1 transcription factor, which is critical for the oxidative-stress response in Saccharomyces cerevisiae, is constitutively concentrated in the nucleus and activates the expression of its target genes in a glyoxalase I-deficient mutant. Yap1 contains six cysteine residues in two cysteine-rich domains (CRDs), i.e., three cysteine residues clustering near the N terminus (n-CRD) and the remaining three cysteine residues near the C terminus (c-CRD). We reveal that any of the three cysteine residues in the c-CRD is sufficient for MG to allow Yap1 to translocate into the nucleus and to activate the expression of its target gene. A Yap1 mutant possessing only one cysteine residue in the c-CRD but no cysteine in the n-CRD and deletion of the basic leucine zipper domain can concentrate in the nucleus with MG treatment. However, substitution of all the cysteine residues in Yap1 abolishes the ability of this transcription factor to concentrate in the nucleus following MG treatment. The redox status of Yap1 is substantially unchanged, and protein(s) interaction with Yap1 through disulfide bond is hardly detected in cells treated with MG. Collectively, neither intermolecular nor intramolecular disulfide bond formation seems to be involved in Yap1 activation by MG. Moreover, we show that nucleocytoplasmic localization of Yap1 closely correlates with growth phase and intracellular MG level. We propose a novel regulatory pathway underlying Yap1 activation by a natural metabolite in the cell.

scholarly journals Phosphorylation and Maximal Activity of Saccharomyces cerevisiae Meiosis-Specific Transcription Factor Ndt80 Is Dependent on Ime2

2002 ◽  
Vol 22 (20) ◽  
pp. 7024-7040 ◽  
Author(s):  
Richelle Sopko ◽  
Sheetal Raithatha ◽  
David Stuart
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Target Genes ◽  
Meiotic Chromosome ◽  
Maximal Activity ◽  
Direct Role ◽  
Specific Transcription Factor ◽  
Mutant Strains ◽  
Sporulation Genes

ABSTRACT The Saccharomyces cerevisiae meiosis-specific transcription factor Ndt80 is responsible for the induction of a class of genes referred to as middle sporulation genes. Among the members of this family are the B-type cyclins and other genes whose products are required for meiotic chromosome division and spore morphogenesis. Inactivation of NDT80 leads to a failure to induce the middle sporulation genes and a subsequent arrest in pachytene. The expression of NDT80 is itself highly regulated. The initial transcription of NDT80 is dependent upon the protein kinase Ime2; once Ndt80 protein accumulates, it activates its own promoter, thus generating an autoactivation loop. In addition to being transcriptionally regulated, Ndt80 protein is posttranslationally regulated. Phosphorylation of Ndt80 occurs coincident with its activation as a transcription factor. If expressed prematurely in meiosis, Ndt80 accumulates initially in an unmodified form that is subsequently modified by phosphorylation. In contrast, Ndt80 expressed in ime2 mutant strains does not become modified and has a reduced ability to activate transcription of its target genes. Ime2 can also phosphorylate Ndt80 in vitro, further supporting a direct role for Ime2 in the phosphorylation of Ndt80. These data indicate that Ime2 plays a novel and previously unexpected role in promoting chromosome dissemination and progress through meiotic development by activating Ndt80.

scholarly journals Regulatory Network Connecting Two Glucose Signal Transduction Pathways in Saccharomyces cerevisiae

2004 ◽  
Vol 3 (1) ◽  
pp. 221-231 ◽  
Author(s):  
Aneta Kaniak ◽  
Zhixiong Xue ◽  
Daniel Macool ◽  
Jeong-Ho Kim ◽  
Mark Johnston
Keyword(s):  
Saccharomyces Cerevisiae ◽  
Signal Transduction ◽  
Transcription Factor ◽  
Regulatory Network ◽  
Target Genes ◽  
Glucose Repression ◽  
Signal Transduction Pathways ◽  
Glucose Signaling ◽  
Genes Encoding ◽  
Glucose Induction

ABSTRACT The yeast Saccharomyces cerevisiae senses glucose, its preferred carbon source, through multiple signal transduction pathways. In one pathway, glucose represses the expression of many genes through the Mig1 transcriptional repressor, which is regulated by the Snf1 protein kinase. In another pathway, glucose induces the expression of HXT genes encoding glucose transporters through two glucose sensors on the cell surface that generate an intracellular signal that affects function of the Rgt1 transcription factor. We profiled the yeast transcriptome to determine the range of genes targeted by this second pathway. Candidate target genes were verified by testing for Rgt1 binding to their promoters by chromatin immunoprecipitation and by measuring the regulation of the expression of promoter lacZ fusions. Relatively few genes could be validated as targets of this pathway, suggesting that this pathway is primarily dedicated to regulating the expression of HXT genes. Among the genes regulated by this glucose signaling pathway are several genes involved in the glucose induction and glucose repression pathways. The Snf3/Rgt2-Rgt1 glucose induction pathway contributes to glucose repression by inducing the transcription of MIG2, which encodes a repressor of glucose-repressed genes, and regulates itself by inducing the expression of STD1, which encodes a regulator of the Rgt1 transcription factor. The Snf1-Mig1 glucose repression pathway contributes to glucose induction by repressing the expression of SNF3 and MTH1, which encodes another regulator of Rgt1, and also regulates itself by repressing the transcription of MIG1. Thus, these two glucose signaling pathways are intertwined in a regulatory network that serves to integrate the different glucose signals operating in these two pathways.

scholarly journals Beyond Trees: Regulons and Regulatory Motif Characterization

Genes ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 995
Author(s):  
Xuhua Xia
Keyword(s):  
Transcription Factor ◽  
Transcription Factors ◽  
Binding Sites ◽  
Target Genes ◽  
Biological Function ◽  
Regulatory Motifs ◽  
Candidate Target ◽  
Tree Genetics ◽  
Growth And Reproduction

Trees and their seeds regulate their germination, growth, and reproduction in response to environmental stimuli. These stimuli, through signal transduction, trigger transcription factors that alter the expression of various genes leading to the unfolding of the genetic program. A regulon is conceptually defined as a set of target genes regulated by a transcription factor by physically binding to regulatory motifs to accomplish a specific biological function, such as the CO-FT regulon for flowering timing and fall growth cessation in trees. Only with a clear characterization of regulatory motifs, can candidate target genes be experimentally validated, but motif characterization represents the weakest feature of regulon research, especially in tree genetics. I review here relevant experimental and bioinformatics approaches in characterizing transcription factors and their binding sites, outline problems in tree regulon research, and demonstrate how transcription factor databases can be effectively used to aid the characterization of tree regulons.

scholarly journals Role of Heat Shock Transcription Factor in Saccharomyces cerevisiae Oxidative Stress Response

2007 ◽  
Vol 6 (8) ◽  
pp. 1373-1379 ◽  
Author(s):  
Ayako Yamamoto ◽  
Junko Ueda ◽  
Noritaka Yamamoto ◽  
Naoya Hashikawa ◽  
Hiroshi Sakurai
Keyword(s):  
Oxidative Stress ◽  
Saccharomyces Cerevisiae ◽  
Transcription Factor ◽  
Stress Response ◽  
Heat Shock ◽  
Superoxide Anion ◽  
Target Genes ◽  
Oxidative Stress Response ◽  
Heat Shock Transcription Factor ◽  
Negative Regulator

ABSTRACT The heat shock transcription factor Hsf1 of the yeast Saccharomyces cerevisiae regulates the transcription of a set of genes that contain heat shock elements (HSEs) in their promoters and function in diverse cellular processes, including protein folding. Here, we show that Hsf1 activates the transcription of various target genes when cells are treated with oxidizing reagents, including the superoxide anion generators menadione and KO2 and the thiol oxidants diamide and 1-chloro-2,4-dinitrobenzene (CDNB). Similar to heat shock, the oxidizing reagents are potent inducers of both efficient HSE binding and extensive phosphorylation of Hsf1. The inducible phosphorylation of Hsf1 is regulated by the intramolecular domain-domain interactions and affects HSE structure-specific transcription. Unlike the heat shock, diamide, or CDNB response, menadione or KO2 activation of Hsf1 is inhibited by cyclic-AMP-dependent protein kinase (PKA) activity, which negatively regulates the activator functions of other transcriptional regulators implicated in the oxidative stress response. These results demonstrate that Hsf1 is a member of the oxidative stress-responsive activators and that PKA is a general negative regulator in the superoxide anion response.

scholarly journals An Integrated Statistical Approach to Compare Transcriptomics Data across Experiments: A Case Study on the Identification of Candidate Target Genes of the Transcription Factor PPARα

2012 ◽  
Vol 6 ◽  
pp. BBI.S9529
Author(s):  
Mohammad Ohid Ullah ◽  
Michael Müller ◽  
Guido J.E.J. Hooiveld
Keyword(s):  
Transcription Factor ◽  
Multiple Testing ◽  
Target Genes ◽  
Gene Knockout ◽  
Statistical Tests ◽  
Multiple Hypothesis Testing ◽  
Wild Type ◽  
Anova Model ◽  
Candidate Target ◽  
Transcriptomics Data

An effective strategy to elucidate the signal transduction cascades activated by a transcription factor is to compare the transcriptional profiles of wild type and transcription factor knockout models. Many statistical tests have been proposed for analyzing gene expression data, but most tests are based on pair-wise comparisons. Since the analysis of microarrays involves the testing of multiple hypotheses within one study, it is generally accepted that one should control for false positives by the false discovery rate (FDR). However, it has been reported that this may be an inappropriate metric for comparing data across different experiments. Here we propose an approach that addresses the above mentioned problem by the simultaneous testing and integration of the three hypotheses (contrasts) using the cell means ANOVA model. These three contrasts test for the effect of a treatment in wild type, gene knockout, and globally over all experimental groups. We illustrate our approach on microarray experiments that focused on the identification of candidate target genes and biological processes governed by the fatty acid sensing transcription factor PPARα in liver. Compared to the often applied FDR based across experiment comparison, our approach identified a conservative but less noisy set of candidate genes with same sensitivity and specificity. However, our method had the advantage of properly adjusting for multiple testing while integrating data from two experiments, and was driven by biological inference. Taken together, in this study we present a simple, yet efficient strategy to compare differential expression of genes across experiments while controlling for multiple hypothesis testing.

scholarly journals Functionally Coherent Transcription Factor Target Networks Illuminate Control of Epithelial Remodelling

2018 ◽  
Author(s):  
Ian M. Overton ◽  
Andrew H. Sims ◽  
Jeremy A. Owen ◽  
Bret S. E. Heale ◽  
Matthew J. Ford ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Target Genes ◽  
Cell Model ◽  
Molecular Networks ◽  
Regulatory Modules ◽  
Transcription Factor Target ◽  
Network Modules ◽  
Candidate Target ◽  
New Gene ◽  
Chromatin Organisation

SummaryCell identity is governed by gene expression, regulated by Transcription Factor (TF) binding at cis-regulatory modules. We developed the NetNC software to decode the relationship between TF binding and the regulation of cognate target genes in cell decision-making; demonstrated on nine datasets for the Snail and Twist TFs, and also modENCODE ‘HOT’ regions. Results illuminated conserved molecular networks controlling development and disease, with implications for precision medicine. Predicted ‘neutral’ TF binding accounted for the majority (50% to ≥80%) of candidate target genes from statistically significant peaks and HOT regions had high functional coherence. Expression of orthologous functional TF targets discriminated breast cancer molecular subtypes and predicted novel tumour biology. We identified new gene functions and network modules including crosstalk with notch signalling and regulation of chromatin organisation, evidencing networks that reshape Waddington’s landscape during epithelial remodelling. Predicted invasion roleswere validated using a tractable cell model, supporting our computational approach.

Sign in / Sign up

Export Citation Format

Share Document