scholarly journals Glucocorticoid-Responsive Transcription Factor Krüppel-Like Factor 9 Regulates fkbp5 and Metabolism

2021 ◽  
Vol 9 ◽  
Author(s):  
Ian M. Gans ◽  
Janelle Grendler ◽  
Remy Babich ◽  
Nishad Jayasundara ◽  
James A. Coffman
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Oxygen Consumption ◽  
Consumption Rate ◽  
Promoter Regions ◽  
Binding Motifs ◽  
Transcript Levels ◽  
Oscillatory Dynamics ◽  
Feedforward Loop ◽  
Feedback Regulator

Krüppel-like factor 9 (Klf9) is a feedforward regulator of glucocorticoid receptor (GR) signaling. Here we show that in zebrafish klf9 is expressed with GR-dependent oscillatory dynamics in synchrony with fkbp5, a GR target that encodes a negative feedback regulator of GR signaling. We found that fkbp5 transcript levels are elevated in klf9–/– mutants and that Klf9 associates with chromatin at the fkbp5 promoter, which becomes hyperacetylated in klf9–/– mutants, suggesting that the GR regulates fkbp5 via an incoherent feedforward loop with klf9. As both the GR and Fkbp5 are known to regulate metabolism, we asked how loss of Klf9 affects metabolic rate and gene expression. We found that klf9–/– mutants have a decreased oxygen consumption rate (OCR) and upregulate glycolytic genes, the promoter regions of which are enriched for potential Klf9 binding motifs. Our results suggest that Klf9 functions downstream of the GR to regulate cellular glucocorticoid responsivity and metabolic homeostasis.

scholarly journals Co-regulation of the transcription controlling ATF2 phosphoswitch by JNK and p38

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Klára Kirsch ◽  
András Zeke ◽  
Orsolya Tőke ◽  
Péter Sok ◽  
Ashish Sethi ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Binding Sites ◽  
Mechanistic Modeling ◽  
Environmental Cues ◽  
Phosphorylation Sites ◽  
Binding Motifs ◽  
Mitogen Activated Protein Kinases ◽  
Transactivation Domains ◽  
Mitogen Activated Protein

AbstractTranscription factor phosphorylation at specific sites often activates gene expression, but how environmental cues quantitatively control transcription is not well-understood. Activating protein 1 transcription factors are phosphorylated by mitogen-activated protein kinases (MAPK) in their transactivation domains (TAD) at so-called phosphoswitches, which are a hallmark in response to growth factors, cytokines or stress. We show that the ATF2 TAD is controlled by functionally distinct signaling pathways (JNK and p38) through structurally different MAPK binding sites. Moreover, JNK mediated phosphorylation at an evolutionarily more recent site diminishes p38 binding and made the phosphoswitch differently sensitive to JNK and p38 in vertebrates. Structures of MAPK-TAD complexes and mechanistic modeling of ATF2 TAD phosphorylation in cells suggest that kinase binding motifs and phosphorylation sites line up to maximize MAPK based co-regulation. This study shows how the activity of an ancient transcription controlling phosphoswitch became dependent on the relative flux of upstream signals.

Mechanisms of mammalian zinc-regulated gene expression

2008 ◽  
Vol 36 (6) ◽  
pp. 1262-1266 ◽  
Author(s):  
Kelly A. Jackson ◽  
Ruth A. Valentine ◽  
Lisa J. Coneyworth ◽  
John C. Mathers ◽  
Dianne Ford
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Transcriptional Repression ◽  
Mammalian Cells ◽  
Gene Promoter ◽  
Mrna Levels ◽  
Promoter Regions ◽  
Mrna Stabilization ◽  
Transcriptional Regulatory ◽  
Regulated Gene Expression

Mechanisms through which gene expression is regulated by zinc are central to cellular zinc homoeostasis. In this context, evidence for the involvement of zinc dyshomoeostasis in the aetiology of diseases, including Type 2 diabetes, Alzheimer's disease and cancer, highlights the importance of zinc-regulated gene expression. Mechanisms elucidated in bacteria and yeast provide examples of different possible modes of zinc-sensitive gene regulation, involving the zinc-regulated binding of transcriptional activators and repressors to gene promoter regions. A mammalian transcriptional regulatory mechanism that mediates zinc-induced transcriptional up-regulation, involving the transcription factor MTF1 (metal-response element-binding transcription factor 1), has been studied extensively. Gene responses in the opposite direction (reduced mRNA levels in response to increased zinc availability) have been observed in mammalian cells, but a specific transcriptional regulatory process responsible for such a response has yet to be identified. Examples of single zinc-sensitive transcription factors regulating gene expression in opposite directions are emerging. Although zinc-induced transcriptional repression by MTF1 is a possible explanation in some specific instances, such a mechanism cannot account for repression by zinc of all mammalian genes that show this mode of regulation, indicating the existence of as yet uncharacterized mechanisms of zinc-regulated transcription in mammalian cells. In addition, recent findings reveal a role for effects of zinc on mRNA stability in the regulation of specific zinc transporters. Our studies on the regulation of the human gene SLC30A5 (solute carrier 30A5), which codes for the zinc transporter ZnT5, have revealed that this gene provides a model system by which to study both zinc-induced transcriptional down-regulation and zinc-regulated mRNA stabilization.

scholarly journals Runt-Related Transcription Factor 1 Regulates Luteinized Hormone-Induced Prostaglandin-Endoperoxide Synthase 2 Expression in Rat Periovulatory Granulosa Cells

Endocrinology ◽  
2009 ◽  
Vol 150 (7) ◽  
pp. 3291-3300 ◽  
Author(s):  
Jing Liu ◽  
Eun-Sil Park ◽  
Misung Jo
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Granulosa Cells ◽  
Promoter Region ◽  
Transcriptional Activity ◽  
Binding Motifs ◽  
Related Transcription Factor ◽  
Prostaglandin Endoperoxide Synthase ◽  
Transcription Factor 1 ◽  
Runx1 Expression

Runt-related transcription factor 1 (RUNX1), a transcription factor, is transiently induced by the LH surge and regulates gene expression in periovulatory granulosa cells. Potential binding sites for RUNX are present in the 5′-flanking region of the Ptgs2 (prostaglandin-endoperoxide synthase 2) gene. Periovulatory Ptgs2 expression is essential for ovulation. In the present study, we investigated the role of RUNX1 in mediating the LH-induced expression of Ptgs2 in periovulatory granulosa cells. We first determined whether the suppression of Runx1 expression or activity affects Ptgs2 expression using cultured preovulatory granulosa cells isolated from immature rat ovaries primed with pregnant mare serum gonadotropin for 48 h. Knockdown of human chorionic gonadotropin-induced Runx1 expression by small interfering RNA or inhibition of endogenous RUNX activities by dominant-negative RUNX decreased human chorionic gonadotropin or agonist-stimulated Ptgs2 expression and transcriptional activity of Ptgs2 promoter reporter constructs. Results from chromatin immunoprecipitation assays revealed in vivo binding of endogenous RUNX1 to the Ptgs2 promoter region in rat periovulatory granulosa cells. Direct binding of RUNX1 to two RUNX-binding motifs in the Ptgs2 promoter region was confirmed by EMSA. The mutation of these two binding motifs resulted in decreased transcriptional activity of Ptgs2 promoter reporter constructs in preovulatory granulosa cells. Taken together, these findings provide experimental evidence that the LH-dependent induction of Ptgs2 expression results, in part, from RUNX1-mediated transactivation of the Ptgs2 promoter. The results of the present study assign potential significance for LH-induced RUNX1 in the ovulatory process via regulating Ptgs2 gene expression.

scholarly journals Characterisation of an Isogenic Model of Cisplatin Resistance in Oesophageal Adenocarcinoma Cells

2019 ◽  
Vol 12 (1) ◽  
pp. 33 ◽  
Author(s):  
Amy Buckley ◽  
Becky Bibby ◽  
Margaret Dunne ◽  
Susan Kennedy ◽  
Maria Davern ◽  
...  
Keyword(s):  
Gene Expression ◽  
Oxygen Consumption ◽  
Oxygen Consumption Rate ◽  
Consumption Rate ◽  
Cisplatin Resistance ◽  
Oesophageal Adenocarcinoma ◽  
Phenotypic Changes ◽  
Hypoxic Conditions ◽  
P Cells ◽  
Resistant Cells

Cisplatin (cis-diamminedichloroplatinum) is widely used for the treatment of solid malignancies; however, the development of chemoresistance hinders the success of this chemotherapeutic in the clinic. This study provides novel insights into the molecular and phenotypic changes in an isogenic oesophageal adenocarcinoma (OAC) model of acquired cisplatin resistance. Key differences that could be targeted to overcome cisplatin resistance are highlighted. We characterise the differences in treatment sensitivity, gene expression, inflammatory protein secretions, and metabolic rate in an isogenic cell culture model of acquired cisplatin resistance in OAC. Cisplatin-resistant cells (OE33 Cis R) were significantly more sensitive to other cytotoxic modalities, such as 2 Gy radiation (p = 0.0055) and 5-fluorouracil (5-FU) (p = 0.0032) treatment than parental cisplatin-sensitive cells (OE33 Cis P). Gene expression profiling identified differences at the gene level between cisplatin-sensitive and cisplatin-resistant cells, uncovering 692 genes that were significantly altered between OE33 Cis R cells and OE33 Cis P cells. OAC is an inflammatory-driven cancer, and inflammatory secretome profiling identified 18 proteins secreted at significantly altered levels in OE33 Cis R cells compared to OE33 Cis P cells. IL-7 was the only cytokine to be secreted at a significantly higher levels from OE33 Cis R cells compared to OE33 Cis P cells. Additionally, we profiled the metabolic phenotype of OE33 Cis P and OE33 Cis R cells under normoxic and hypoxic conditions. The oxygen consumption rate, as a measure of oxidative phosphorylation, is significantly higher in OE33 Cis R cells under normoxic conditions. In contrast, under hypoxic conditions of 0.5% O2, the oxygen consumption rate is significantly lower in OE33 Cis R cells than OE33 Cis P cells. This study provides novel insights into the molecular and phenotypic changes in an isogenic OAC model of acquired cisplatin resistance, and highlights therapeutic targets to overcome cisplatin resistance in OAC.

ChIP-on-Chip Analysis Identified HLXB9 as a Transcription Factor In Hematopoietic Cells and Alters the Expression of Genes Involved In Cell-Adhesion

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2486-2486
Author(s):  
Sarah Wildenhain ◽  
Christian Ruckert ◽  
Svenja Daschkey ◽  
Martin Dugas ◽  
Julia Hauer ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Cell Adhesion ◽  
Hematopoietic Cells ◽  
Promoter Regions ◽  
Altered Gene Expression ◽  
Altered Gene ◽  
On Chip ◽  
Chip Analysis

Abstract Abstract 2486 Infants with t (7;12)/HLXB9-TEL positive Acute Myeloid Leukemia (AML) have an Event-Free Survival (EFS) of 0 % and are characterized by concomitant HLXB9 (MNX1) expression. However, the role of the homeobox protein HLXB9 on hematopoietic cell development remains unknown. Expression profiling of t (7;12) and t (11;X) positive leukemias revealed up-regulation of cell-cell interacting genes in t (7;12) positive leukemia (Wildenhain et al., 2010). Furthermore, no increased expression of HOX-Genes, like HOXA9 and MEIS1, could be observed in t (7;12) positive leukemia compared to t (11;X) positive leukemia. Based on the altered gene expression profile in t (7;12) positive leukemia we investigated the role of HLXB9 as a transcription factor in hematopoietic cells using ChIP-on-chip analysis and its impact on the cellular gene expression pattern using Affymetrix expression arrays. The myeloid cell line HL60 was stable transfected with a CMV-HLXB9 (HL60/HLXB9) expression vector or an empty vector control (HL60/control). Microarray analysis was performed using “Human Gene 1.0 ST Arrays” (Affymetrix) and data from the HL60/HLXB9 cells were normalized to HL60/control cells. ChIP-on-chip analysis was performed using the “SimpleChIP Enzymatic Chromatin IP Kit” (Cell Signaling Technologies). Hybridisation on “385K RefSeq Promoter arrays” and analysis of raw data were performed by NimbleGen using the NimbleScan software. Data were visualized with the SignalMap software. Altered expression analyses as well as enrichment of promoter regions were validated by quantitative RT-PCR. Expression analysis revealed 81 differentially expressed genes, whereof 63 were down-regulated indicating that HLXB9 acts as a transcriptional repressor, as characteristic for homeobox proteins. CLEC5A, normally expressed in mature myeloid cells, is the highest differentially repressed gene. Further, we identified several differentially expressed genes which interfere in cell-adhesion and/or angiogenesis (e.g. IL8, ZYX, SELL, SPP1, EMILIN2). Western blot analysis of nuclear extracts confirmed the translocation of HLXB9 into the nucleus. ChIP-on-chip analysis revealed binding of HLXB9 to several promoter regions, among them the promoters of ZYX and IL8. Binding of HLXB9 to those promoters results in a decreased gene expression.These data strengthens the hypothesis, that HLXB9 plays a major role in cell adhesion and/or cell interactions. Further we observed increased expression of the adhesion molecule CD11b, when culturing HL60/HLXB9 cells in All-Trans Retinoic Acid (ATRA) containing medium in contrast to HL60/control cells. In summary, this study shows that HLXB9 acts as a transcription factor in hematopoietic cells and has a repressive function on gene expression. HLXB9 target genes regulate cell-adhesion and angiogenesis. This study provides the first molecular results of HLXB9 function in hematopoietic cells and supports the previously published data showing the importance on altered gene expression of cell-cell interacting genes in the pathogenesis of t (7;12) positive leukemia. Disclosures: No relevant conflicts of interest to declare.

scholarly journals In Silico Prediction of Transcription Factor Collaborations Underlying Phenotypic Sexual Dimorphism in Zebrafish (Danio rerio)

Genes ◽  
2021 ◽  
Vol 12 (6) ◽  
pp. 873
Author(s):  
Shahrbanou Hosseini ◽  
Armin Otto Schmitt ◽  
Jens Tetens ◽  
Bertram Brenig ◽  
Henner Simianer ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Sexual Dimorphism ◽  
Sex Determination ◽  
Expression Patterns ◽  
Regulation Of Gene Expression ◽  
Colour Pattern ◽  
Promoter Regions ◽  
Dimorphic Gene Expression

The transcriptional regulation of gene expression in higher organisms is essential for different cellular and biological processes. These processes are controlled by transcription factors and their combinatorial interplay, which are crucial for complex genetic programs and transcriptional machinery. The regulation of sex-biased gene expression plays a major role in phenotypic sexual dimorphism in many species, causing dimorphic gene expression patterns between two different sexes. The role of transcription factor (TF) in gene regulatory mechanisms so far has not been studied for sex determination and sex-associated colour patterning in zebrafish with respect to phenotypic sexual dimorphism. To address this open biological issue, we applied bioinformatics approaches for identifying the predicted TF pairs based on their binding sites for sex and colour genes in zebrafish. In this study, we identified 25 (e.g., STAT6-GATA4; JUN-GATA4; SOX9-JUN) and 14 (e.g., IRF-STAT6; SOX9-JUN; STAT6-GATA4) potentially cooperating TFs based on their binding patterns in promoter regions for sex determination and colour pattern genes in zebrafish, respectively. The comparison between identified TFs for sex and colour genes revealed several predicted TF pairs (e.g., STAT6-GATA4; JUN-SOX9) are common for both phenotypes, which may play a pivotal role in phenotypic sexual dimorphism in zebrafish.

CLUSTERING AND RE-CLUSTERING FOR PATTERN DISCOVERY IN GENE EXPRESSION DATA

2005 ◽  
Vol 03 (02) ◽  
pp. 281-301 ◽  
Author(s):  
PATRICK C. H. MA ◽  
KEITH C. C. CHAN ◽  
DAVID K. Y. CHIU
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Gene Expression Data ◽  
Binding Sites ◽  
Transcription Factor Binding Sites ◽  
Transcription Factor Binding ◽  
Pairwise Distance ◽  
Expression Data ◽  
Promoter Regions ◽  
Factor Binding

The combined interpretation of gene expression data and gene sequences is important for the investigation of the intricate relationships of gene expression at the transcription level. The expression data produced by microarray hybridization experiments can lead to the identification of clusters of co-expressed genes that are likely co-regulated by the same regulatory mechanisms. By analyzing the promoter regions of co-expressed genes, the common regulatory patterns characterized by transcription factor binding sites can be revealed. Many clustering algorithms have been used to uncover inherent clusters in gene expression data. In this paper, based on experiments using simulated and real data, we show that the performance of these algorithms could be further improved. For the clustering of expression data typically characterized by a lot of noise, we propose to use a two-phase clustering algorithm consisting of an initial clustering phase and a second re-clustering phase. The proposed algorithm has several desirable features: (i) it utilizes both local and global information by computing both a "local" pairwise distance between two gene expression profiles in Phase 1 and a "global" probabilistic measure of interestingness of cluster patterns in Phase 2, (ii) it distinguishes between relevant and irrelevant expression values when performing re-clustering, and (iii) it makes explicit the patterns discovered in each cluster for possible interpretations. Experimental results show that the proposed algorithm can be an effective algorithm for discovering clusters in the presence of very noisy data. The patterns that are discovered in each cluster are found to be meaningful and statistically significant, and cannot otherwise be easily discovered. Based on these discovered patterns, genes co-expressed under the same experimental conditions and range of expression levels have been identified and evaluated. When identifying regulatory patterns at the promoter regions of the co-expressed genes, we also discovered well-known transcription factor binding sites in them. These binding sites can provide explanations for the co-expressed patterns.

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