The Drosophila morphogenetic protein Bicoid binds DNA cooperatively

Development ◽  
1996 ◽  
Vol 122 (4) ◽  
pp. 1195-1206 ◽  
Author(s):  
X. Ma ◽  
D. Yuan ◽  
K. Diepold ◽  
T. Scarborough ◽  
J. Ma
Keyword(s):  
Gene Expression ◽  
Dna Binding ◽  
Protein Interaction ◽  
Fold Increase ◽  
Enhancer Element ◽  
Protein Protein Interaction ◽  
Morphogenetic Protein ◽  
Zygotic Gene ◽  
Morphogenetic Gradient ◽  
Maternal Gene

The Drosophila morphogenetic protein Bicoid, encoded by the maternal gene bicoid, is required for the development of the anterior structures in the embryo. Bicoid, a transcriptional activator containing a homeodomain, is distributed in an anterior-to-posterior gradient in the embryo. In response to this gradient, the zygotic gene hunchback is expressed uniformly in the anterior half of the embryo in a nearly all-or-none manner. In this report we demonstrate that a recombinant Bicoid protein binds cooperatively to its sites within a hunchback enhancer element. A less than 4-fold increase in Bicoid concentration is sufficient to achieve an unbound/bound transition in DNA binding. Using various biochemical and genetic methods we further demonstrate that Bicoid molecules can interact with each other. Our results are consistent with previous studies performed in the embryo, and they suggest that one mechanism to achieve a sharp on/off switch of gene expression in response to a morphogenetic gradient is cooperative DNA binding facilitated by protein-protein interaction.

scholarly journals Essential Role of the Homeodomain for Pituitary Homeobox 1 Activation of Mouse Gonadotropin-Releasing Hormone Receptor Gene Expression through Interactions with c-Jun and DNA

2004 ◽  
Vol 24 (14) ◽  
pp. 6127-6139 ◽  
Author(s):  
Kyeong-Hoon Jeong ◽  
William W. Chin ◽  
Ursula B. Kaiser
Keyword(s):  
Gene Expression ◽  
Dna Binding ◽  
Point Mutation ◽  
Protein Interaction ◽  
Hormone Receptor ◽  
Gene Promoter ◽  
Gonadotropin Releasing Hormone ◽  
Releasing Hormone ◽  
Protein Protein Interaction ◽  
Gonadotropin Releasing Hormone Receptor

ABSTRACT The gonadotropin-releasing hormone receptor (GnRHR) is expressed primarily in the gonadotropes of the anterior pituitary. Pituitary homeobox 1 (Pitx-1) has been shown to activate pituitary-specific gene expression by direct DNA binding and/or protein-protein interaction with other transcription factors. We hypothesized that Pitx-1 might also dictate tissue-specific expression of the mouse GnRHR (mGnRHR) gene in a similar manner. Pitx-1 activated the mGnRHR gene promoter, and transactivation was localized to sequences between −308 and −264. Pitx-1 bound to this region only with low affinity. This region includes an activating protein 1 (AP-1) site, which was previously shown to be important for mGnRHR gene expression. Further characterization indicated that an intact AP-1 site was required for full Pitx-1 responsiveness. Furthermore, Pitx-1 and AP-1 were synergistic in the activation of the mGnRHR gene promoter. A Pitx-1 homeodomain (HD) point mutation, which eliminated DNA binding ability, caused only a partial reduction of transactivation, whereas deletion of the HD completely prevented transactivation. Pitx-1 interacted directly with c-Jun, and the HD was sufficient for this interaction. While the point mutation in the Pitx-1 HD did not affect interaction with c-Jun, deletion of the HD eliminated the interaction. Taken together, our studies indicate that Pitx-1 can direct transactivation of the mGnRHR gene, in part by DNA binding and in part by an action of Pitx-1 as a cofactor for AP-1, augmenting AP-1 activity through a novel protein-protein interaction between c-Jun and the HD of Pitx-1.

scholarly journals Mammary gland development and lactation are controlled by different glucocorticoid receptor activities

2001 ◽  
pp. 519-527 ◽  
Author(s):  
HM Reichardt ◽  
K Horsch ◽  
HJ Grone ◽  
A Kolbus ◽  
H Beug ◽  
...  
Keyword(s):  
Gene Expression ◽  
Protein Synthesis ◽  
Mammary Gland ◽  
Dna Binding ◽  
Glucocorticoid Receptor ◽  
Protein Interaction ◽  
Milk Protein ◽  
Mammary Gland Development ◽  
Protein Protein Interaction ◽  
Gland Development

OBJECTIVE: Regulation of physiological processes by glucocorticoids is achieved by binding to the glucocorticoid receptor (GR) and subsequent modulation of gene expression, either by DNA binding-dependent mechanisms or via protein-protein interaction with other transcription factors. The purpose of this study was to define the molecular mechanism of GR underlying the control of mammary gland development and lactation. DESIGN: To dissect the mechanism of GR action in the mammary gland, we used genetically modified mice carrying a DNA binding-defective GR. These mice retain the ability to regulate transcription by protein-protein interaction but fail to control gene expression by DNA binding-dependent mechanisms. Thus, they allow the study of the mode of GR action in vivo. METHODS: The development of the mammary gland and milk protein synthesis during lactation were studied using histological and biochemical methods. RESULTS: Our findings demonstrated that the lack of the DNA binding function of GR impairs the ductal development of the mammary gland in virgin females and that this can presumably be accounted for by reduced proliferation of epithelial cells. In contrast, lactating females have normally differentiated mammary glands and are fully capable of milk protein production. This is in good agreement with the demonstration that the DNA binding-defective GR is still able to interact with phosphorylated Stat5 proteins, suggesting that transcriptional regulation by protein-protein interaction forms the basis of glucocorticoid action in this process. CONCLUSIONS: The present study has demonstrated that GR plays an important role in the mammary gland and that it uses different molecular modes of action to control development and milk protein synthesis.

The Development of Inhibitors Targeting the Mixed Lineage Leukemia 1 (MLL1)-WD Repeat Domain 5 Protein (WDR5) Protein- Protein Interaction

2020 ◽  
Vol 27 (33) ◽  
pp. 5530-5542
Author(s):  
Xiaoqing Ye ◽  
Gang Chen ◽  
Jia Jin ◽  
Binzhong Zhang ◽  
Yinda Wang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Protein Interaction ◽  
Fusion Proteins ◽  
Recent Progress ◽  
Mixed Lineage Leukemia ◽  
Core Complex ◽  
Histone Methyltransferases ◽  
Protein Protein Interaction ◽  
Histone 3 ◽  
Repeat Domain

Mixed Lineage Leukemia 1 (MLL1), an important member of Histone Methyltransferases (HMT) family, is capable of catalyzing mono-, di-, and trimethylation of Histone 3 lysine 4 (H3K4). The optimal catalytic activity of MLL1 requires the formation of a core complex consisting of MLL1, WDR5, RbBP5, and ASH2L. The Protein-Protein Interaction (PPI) between WDR5 and MLL1 plays an important role in abnormal gene expression during tumorigenesis, and disturbing this interaction may have a potential for the treatment of leukemia harboring MLL1 fusion proteins. In this review, we will summarize recent progress in the development of inhibitors targeting MLL1- WDR5 interaction.

scholarly journals Development of a Novel High-Throughput Screen and Identification of Small-Molecule Inhibitors of the Gα–RGS17 Protein–Protein Interaction Using AlphaScreen

2011 ◽  
Vol 16 (8) ◽  
pp. 869-877 ◽  
Author(s):  
Duncan I. Mackie ◽  
David L. Roman
Keyword(s):  
Small Molecule ◽  
High Throughput ◽  
Protein Interaction ◽  
High Throughput Screening ◽  
Drug Targets ◽  
Screening Method ◽  
Fold Increase ◽  
Rgs Proteins ◽  
High Throughput Screen ◽  
Protein Protein Interaction

In this study, the authors used AlphaScreen technology to develop a high-throughput screening method for interrogating small-molecule libraries for inhibitors of the Gαo–RGS17 interaction. RGS17 is implicated in the growth, proliferation, metastasis, and the migration of prostate and lung cancers. RGS17 is upregulated in lung and prostate tumors up to a 13-fold increase over patient-matched normal tissues. Studies show RGS17 knockdown inhibits colony formation and decreases tumorigenesis in nude mice. The screen in this study uses a measurement of the Gαo–RGS17 protein–protein interaction, with an excellent Z score exceeding 0.73, a signal-to-noise ratio >70, and a screening time of 1100 compounds per hour. The authors screened the NCI Diversity Set II and determined 35 initial hits, of which 16 were confirmed after screening against controls. The 16 compounds exhibited IC50 <10 µM in dose–response experiments. Four exhibited IC50 values <6 µM while inhibiting the Gαo–RGS17 interaction >50% when compared to a biotinylated glutathione-S-transferase control. This report describes the first high-throughput screen for RGS17 inhibitors, as well as a novel paradigm adaptable to many other RGS proteins, which are emerging as attractive drug targets for modulating G-protein-coupled receptor signaling.

scholarly journals Key Genes and Prognostic Analysis in HER2+ Breast Cancer

2021 ◽  
Vol 20 ◽  
pp. 153303382098329
Author(s):  
Yujie Weng ◽  
Wei Liang ◽  
Yucheng Ji ◽  
Zhongxian Li ◽  
Rong Jia ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Differentially Expressed Genes ◽  
Protein Interaction ◽  
Differentially Expressed ◽  
Protein Kinase Activity ◽  
Protein Protein Interaction ◽  
Risk Of Death ◽  
Her2 Breast Cancer ◽  
Key Genes

Human epidermal growth factor 2 (HER2)+ breast cancer is considered the most dangerous type of breast cancers. Herein, we used bioinformatics methods to identify potential key genes in HER2+ breast cancer to enable its diagnosis, treatment, and prognosis prediction. Datasets of HER2+ breast cancer and normal tissue samples retrieved from Gene Expression Omnibus and The Cancer Genome Atlas databases were subjected to analysis for differentially expressed genes using R software. The identified differentially expressed genes were subjected to gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses followed by construction of protein-protein interaction networks using the STRING database to identify key genes. The genes were further validated via survival and differential gene expression analyses. We identified 97 upregulated and 106 downregulated genes that were primarily associated with processes such as mitosis, protein kinase activity, cell cycle, and the p53 signaling pathway. Visualization of the protein-protein interaction network identified 10 key genes ( CCNA2, CDK1, CDC20, CCNB1, DLGAP5, AURKA, BUB1B, RRM2, TPX2, and MAD2L1), all of which were upregulated. Survival analysis using PROGgeneV2 showed that CDC20, CCNA2, DLGAP5, RRM2, and TPX2 are prognosis-related key genes in HER2+ breast cancer. A nomogram showed that high expression of RRM2, DLGAP5, and TPX2 was positively associated with the risk of death. TPX2, which has not previously been reported in HER2+ breast cancer, was associated with breast cancer development, progression, and prognosis and is therefore a potential key gene. It is hoped that this study can provide a new method for the diagnosis and treatment of HER2 + breast cancer.

Maternal control of a zygotic patterning gene in Caenorhabditis elegans

Development ◽  
1997 ◽  
Vol 124 (19) ◽  
pp. 3865-3869 ◽  
Author(s):  
J. Ahringer
Keyword(s):  
Gene Expression ◽  
Gene Control ◽  
Maternal Control ◽  
C Elegans ◽  
Cell Position ◽  
Maternal Effect Genes ◽  
Zygotic Gene ◽  
Patterning Genes ◽  
Necessary And Sufficient ◽  
Maternal Gene

The transition from maternal to zygotic gene control is a key process in embryogenesis. Although many maternal effect genes have been studied in the C. elegans embryo, how their activities lead to the positional expression of zygotic patterning genes has not yet been established. Evidence is presented showing that expression of the zygotic patterning gene vab-7 does not depend on cell position or cell contacts, but rather on the production of a C blastomere. Furthermore, pal-1, a caudal homologue with maternal product necessary for the proper development of the C blastomere, is both necessary and sufficient for vab-7 expression. This provides a link between maternal gene activity and zygotic patterning gene expression in C. elegans. The results suggest that zygotic patterning genes might be generally controlled at the level of blastomere fate and not by position.

scholarly journals Identification of Lung-Cancer-Related Genes with the Shortest Path Approach in a Protein-Protein Interaction Network

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Bi-Qing Li ◽  
Jin You ◽  
Lei Chen ◽  
Jian Zhang ◽  
Ning Zhang ◽  
...  
Keyword(s):  
Gene Expression ◽  
Lung Cancer ◽  
Shortest Path ◽  
Protein Interaction ◽  
Expression Profiles ◽  
Shortest Paths ◽  
Gene Expression Profiles ◽  
Cancer Genes ◽  
Ppi Network ◽  
Protein Protein Interaction

Lung cancer is one of the leading causes of cancer mortality worldwide. The main types of lung cancer are small cell lung cancer (SCLC) and nonsmall cell lung cancer (NSCLC). In this work, a computational method was proposed for identifying lung-cancer-related genes with a shortest path approach in a protein-protein interaction (PPI) network. Based on the PPI data from STRING, a weighted PPI network was constructed. 54 NSCLC- and 84 SCLC-related genes were retrieved from associated KEGG pathways. Then the shortest paths between each pair of these 54 NSCLC genes and 84 SCLC genes were obtained with Dijkstra’s algorithm. Finally, all the genes on the shortest paths were extracted, and 25 and 38 shortest genes with a permutationPvalue less than 0.05 for NSCLC and SCLC were selected for further analysis. Some of the shortest path genes have been reported to be related to lung cancer. Intriguingly, the candidate genes we identified from the PPI network contained more cancer genes than those identified from the gene expression profiles. Furthermore, these genes possessed more functional similarity with the known cancer genes than those identified from the gene expression profiles. This study proved the efficiency of the proposed method and showed promising results.

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