scholarly journals Factor cooperation for chromosome discrimination in Drosophila

2018 ◽  
Author(s):  
Christian Albig ◽  
Evgeniya Tikhonova ◽  
Silke Krause ◽  
Oksana Maksimenko ◽  
Catherine Regnard ◽  
...  
Keyword(s):  
Dosage Compensation ◽  
Binding Sites ◽  
Physical Interaction ◽  
Functional Sites ◽  
Genome Wide ◽  
Nucleosome Formation ◽  
Dna Elements ◽  
Transcription Regulators ◽  
Male Specific

AbstractTranscription regulators select their genomic binding sites from a large pool of similar, non-functional sequences. Although general principles that allow such discrimination are known, the complexity of DNA elements often precludes a prediction of functional sites.The process of dosage compensation in Drosophila allows exploring the rules underlying binding site selectivity. The male-specific-lethal (MSL) Dosage Compensation Complex selectively binds to some 300 X-chromosomal ‘High Affinity Sites’ (HAS) containing GA-rich ‘MSL recognition elements’ (MREs), but disregards thousands of other MRE sequences in the genome. The DNA-binding subunit MSL2 alone identifies a subset of MREs, but fails to recognize most MREs within HAS. The ‘Chromatin-linked adaptor for MSL proteins’ (CLAMP) also interacts with many MREs genome-wide and promotes DCC binding to HAS. Using genome-wide DNA-immunoprecipitation we describe extensive cooperativity between both factors, depending on the nature of the binding sites. These are explained by physical interaction between MSL2 and CLAMP. In vivo, both factors cooperate to compete with nucleosome formation at HAS. The male-specific MSL2 thus synergises with a ubiquitous GA-repeat binding protein for refined X/autosome discrimination.

scholarly journals Nuclear binding of progesterone in chick oviduct. Multiple binding sites in vivo and transcriptional response

1976 ◽  
Vol 156 (2) ◽  
pp. 391-398 ◽  
Author(s):  
T C Spelsberg
Keyword(s):  
Rna Polymerase ◽  
Rna Polymerase Ii ◽  
Binding Sites ◽  
Polymerase Activity ◽  
Rna Polymerase I ◽  
Target Tissue ◽  
Functional Sites ◽  
Nuclear Binding ◽  
Polymerase I

1. Varied doses of labelled or unlabelled progesterone were injected into immature chicks which had previously been stimulated with oestrogen. The concentrations of nuclear bound [3H]progesterone were correlated with the effects of the hormone on endogenous RNA polymerase I and II activities in isolated oviduct nuclei. 2. The extent of nuclear localization of [3H]progesterone in oviduct (a progesterone target tissue) was shown to be much greater than in lung (non-target tissue). The conccentration of bivalent cations in solvents used in the nuclei isolations has a marked effect on the amount of bound hormone in the nuclei. 3. Evidence for the existence of several classes of binding sites for progesterone in the oviduct nuclei is given. These classes represent about 1000) 10000 and 100000 molecules of the hormone per cell nucleus and are saturated by injecting approx. 10, 100 and 1000 mug of progesterone respectively. 4. When saturation of the first (highest affinity) class of nuclear sites occurs, a marked inhibition in RNA polymerase II (but not RNA polymerase I) activity was observed. When the second class of sites was saturated, alterations in both RNA polymerase I and II activities were observed. Binding to the third class of nuclear binding sites was not accompained by further changes in polymerase activity. It is suggested that the first two classes of nuclear binding sites may represent functional sites for progesterone action in the chick oviduct.

scholarly journals Research Resource: Genome-Wide Mapping of in Vivo Androgen Receptor Binding Sites in Mouse Epididymis

2010 ◽  
Vol 24 (12) ◽  
pp. 2392-2405 ◽  
Author(s):  
Shuanggang Hu ◽  
Guangxin Yao ◽  
Xiaojun Guan ◽  
Zimei Ni ◽  
Wubin Ma ◽  
...  
Keyword(s):  
Androgen Receptor ◽  
Receptor Binding ◽  
Binding Sites ◽  
Genome Wide ◽  
Mouse Epididymis

scholarly journals Genome-Wide Mapping of Collier In Vivo Binding Sites Highlights Its Hierarchical Position in Different Transcription Regulatory Networks

PLoS ONE ◽  
2015 ◽  
Vol 10 (7) ◽  
pp. e0133387 ◽  
Author(s):  
Mathilde de Taffin ◽  
Yannick Carrier ◽  
Laurence Dubois ◽  
Laetitia Bataillé ◽  
Anaïs Painset ◽  
...  
Keyword(s):  
Binding Sites ◽  
Regulatory Networks ◽  
In Vivo Binding ◽  
Genome Wide ◽  
Hierarchical Position

scholarly journals Novel Mechanism of Positive versus Negative Regulation by Thyroid Hormone Receptor β1 (TRβ1) Identified by Genome-wide Profiling of Binding Sites in Mouse Liver

2013 ◽  
Vol 289 (3) ◽  
pp. 1313-1328 ◽  
Author(s):  
Preeti Ramadoss ◽  
Brian J. Abraham ◽  
Linus Tsai ◽  
Yiming Zhou ◽  
Ricardo H. Costa-e-Sousa ◽  
...  
Keyword(s):  
Gene Expression ◽  
Transcriptional Regulation ◽  
Thyroid Hormone ◽  
Binding Sites ◽  
Hormone Receptor ◽  
Target Genes ◽  
Thyroid Hormone Receptor ◽  
Negative Regulation ◽  
Genome Wide

Triiodothyronine (T3) regulates key metabolic processes in the liver through the thyroid hormone receptor, TRβ1. However, the number of known target genes directly regulated by TRβ1 is limited, and the mechanisms by which positive and especially negative transcriptional regulation occur are not well understood. To characterize the TRβ1 cistrome in vivo, we expressed a biotinylated TRβ1 in hypo- and hyperthyroid mouse livers, used ChIP-seq to identify genomic TRβ1 targets, and correlated these data with gene expression changes. As with other nuclear receptors, the majority of TRβ1 binding sites were not in proximal promoters but in the gene body of known genes. Remarkably, T3 can dictate changes in TRβ1 binding, with strong correlation to T3-induced gene expression changes, suggesting that differential TRβ1 binding regulates transcriptional outcome. Additionally, DR-4 and DR-0 motifs were significantly enriched at binding sites where T3 induced an increase or decrease in TRβ1 binding, respectively, leading to either positive or negative regulation by T3. Taken together, the results of this study provide new insights into the mechanisms of transcriptional regulation by TRβ1 in vivo.

scholarly journals Drosophila CLAMP is an essential protein with sex-specific roles in males and females

2016 ◽  
Author(s):  
Jennifer A. Urban ◽  
Caroline A. Doherty ◽  
William T. Jordan ◽  
Jacob E. Bliss ◽  
Jessica Feng ◽  
...  
Keyword(s):  
X Chromosome ◽  
Dosage Compensation ◽  
Zinc Finger Protein ◽  
Pericentric Heterochromatin ◽  
Single Male ◽  
Essential Protein ◽  
Msl Complex ◽  
Males And Females ◽  
Male Specific

AbstractDosage compensation is a fundamental mechanism in many species that corrects for the inherent imbalance in X-chromosome copy number between XY males and XX females. In Drosophila melanogaster, transcriptional output from the single male X-chromosome is equalized to that of XX females by recruitment of the Male Specific Lethal (MSL) complex to specific sequences along the length of the X-chromosome. The initial recruitment of MSL complex to the X-chromosome is dependent on a recently discovered zinc finger protein called Chromatin-Linked Adapter for MSL Proteins (CLAMP). However, further studies on the in vivo function of CLAMP remained difficult because the location of the gene in pericentric heterochromatin made it challenging to create null mutations or deficiencies. Using the CRISPR/Cas9 genome editing system, we generated the first null mutant in the clamp gene that eliminates expression of CLAMP protein. We show that CLAMP is necessary for both male and female viability. While females die at the third instar larval stage, males die earlier, likely due to the essential role of CLAMP in male dosage compensation. Moreover, we demonstrate that CLAMP promotes dosage compensation in males and represses key male-specific transcripts involved in sex-determination in females. Our results reveal that CLAMP is an essential protein with dual roles in males and females, which together assure that dosage compensation is a sex-specific process.

scholarly journals p53 binding sites in normal and cancer cells are characterized by distinct chromatin context

2017 ◽  
Author(s):  
Feifei Bao ◽  
Peter R. LoVerso ◽  
Jeffrey N. Fisk ◽  
Victor B. Zhurkin ◽  
Feng Cui
Keyword(s):  
Cancer Cells ◽  
Binding Sites ◽  
Nucleosome Occupancy ◽  
High Sensitivity ◽  
Dependent Manner ◽  
Histone Marks ◽  
Genome Wide ◽  
Pioneer Transcription Factor ◽  
Chromatin Patterns

AbstractThe tumor suppressor protein p53 interacts with DNA in a sequence-dependent manner. Thousands of p53 binding sites have been mapped genome-wide in normal and cancer cells. However, the way p53 selectively binds its cognate sites in different types of cells is not fully understood. Here, we performed a comprehensive analysis of 25 published p53 cistromes and identified 3,551 and 6,039 ‘high-confidence’ binding sites in normal and cancer cells, respectively. Our analysis revealed two distinct epigenetic features underlying p53-DNA interactionsin vivo. First, p53 binding sites are associated with transcriptionally active histone marks (H3K4me3 and H3K36me3) in normal-cell chromatin, but with repressive histone marks (H3K27me3) in cancer-cell chromatin. Second, p53 binding sites in cancer cells are characterized by a lower level of DNA methylation than their counterparts in normal cells, probably related to global hypomethylation in cancers. Intriguingly, regardless of the cell type, p53 sites are highly enriched in the endogenous retroviral elements of the ERV1 family, highlighting the importance of this repeat family in shaping the transcriptional network of p53. Moreover, the p53 sites exhibit an unusual combination of chromatin patterns: high nucleosome occupancy and, at the same time, high sensitivity to DNase I. Our results suggest that p53 can access its target sites in a chromatin environment that is non-permissive to most DNA-binding transcription factors, which may allow p53 to act as a pioneer transcription factor in the context of chromatin.

scholarly journals Rapid Evolution of Autosomal Binding Sites of the Dosage Compensation Complex in Drosophila melanogaster and Its Association With Transcription Divergence

2021 ◽  
Vol 12 ◽  
Author(s):  
Aimei Dai ◽  
Yushuai Wang ◽  
Anthony Greenberg ◽  
Zhongqi Liufu ◽  
Tian Tang
Keyword(s):  
Drosophila Melanogaster ◽  
Dosage Compensation ◽  
Binding Sites ◽  
Protein Sequence ◽  
Rapid Evolution ◽  
Close Relative ◽  
Sequence Evolution ◽  
Male Specific Lethal ◽  
Msl Complex ◽  
Male Specific

How pleiotropy influences evolution of protein sequence remains unclear. The male-specific lethal (MSL) complex in Drosophila mediates dosage compensation by 2-fold upregulation of the X chromosome in males. Nevertheless, several MSL proteins also bind autosomes and likely perform functions not related to dosage compensation. Here, we study the evolution of MOF, MSL1, and MSL2 biding sites in Drosophila melanogaster and its close relative Drosophila simulans. We found pervasive expansion of the MSL binding sites in D. melanogaster, particularly on autosomes. The majority of these newly-bound regions are unlikely to function in dosage compensation and associated with an increase in expression divergence between D. melanogaster and D. simulans. While dosage-compensation related sites show clear signatures of adaptive evolution, these signatures are even more marked among autosomal regions. Our study points to an intriguing avenue of investigation of pleiotropy as a mechanism promoting rapid protein sequence evolution.

scholarly journals TET-catalyzed 5-carboxylcytosine promotes CTCF binding to suboptimal sequences genome-wide

2018 ◽  
Author(s):  
Kyster K. Nanan ◽  
David M. Sturgill ◽  
Maria F. Prigge ◽  
Morgan Thenoz ◽  
Allissa A. Dillman ◽  
...  
Keyword(s):  
Binding Sites ◽  
Genomic Dna ◽  
Multiple Roles ◽  
Ctcf Binding ◽  
Cellular Model ◽  
Potential Mechanism ◽  
Dynamic Regulation ◽  
Genome Wide

SummaryThe mechanisms supporting dynamic regulation of CTCF binding sites remain poorly understood. Here we describe the TET-catalyzed 5-methylcytosine derivative, 5-carboxylcytosine (5caC) as a factor driving new CTCF binding within genomic DNA. Through a combination of in vivo and in vitro approaches, we reveal that 5caC generally strengthens CTCF association with DNA and facilitates binding to suboptimal sequences. Dramatically, profiling of CTCF binding in a cellular model that accumulates genomic 5caC identified ∼13,000 new CTCF sites. The new sites were enriched for overlapping 5caC and were marked by an overall reduction in CTCF motif strength. As CTCF has multiple roles in gene expression, these findings have wide-reaching implications and point to induced 5caC as a potential mechanism to achieve differential CTCF binding in cells.

scholarly journals ScanNet: An interpretable geometric deep learning model for structure-based protein binding site prediction

2021 ◽  
Author(s):  
Jérôme Tubiana ◽  
Dina Schneidman-Duhovny ◽  
Haim J. Wolfson
Keyword(s):  
Deep Learning ◽  
Small Molecules ◽  
Binding Sites ◽  
Comparative Modeling ◽  
Learning Model ◽  
Functional Sites ◽  
Site Prediction ◽  
Interpretable Model ◽  
Deep Learning Model

Predicting the functional sites of a protein from its structure, such as the binding sites of small molecules, other proteins or antibodies sheds light on its function in vivo. Currently, two classes of methods prevail: Machine Learning (ML) models built on top of handcrafted features and comparative modeling. They are respectively limited by the expressivity of the handcrafted features and the availability of similar proteins. Here, we introduce ScanNet, an end-to-end, interpretable geometric deep learning model that learns features directly from 3D structures. ScanNet builds representations of atoms and amino acids based on the spatio-chemical arrangement of their neighbors. We train ScanNet for detecting protein-protein and protein-antibody binding sites, demonstrate its accuracy - including for unseen protein folds - and interpret the filters learned. Finally, we predict epitopes of the SARS-CoV-2 spike protein, validating known antigenic regions and predicting previously uncharacterized ones. Overall, ScanNet is a versatile, powerful, and interpretable model suitable for functional site prediction tasks. A webserver for ScanNet is available from http://bioinfo3d.cs.tau.ac.il/ScanNet/

scholarly journals Genome-wide effects onEscherichia colitranscription from ppGpp binding to its two sites on RNA polymerase

2019 ◽  
Vol 116 (17) ◽  
pp. 8310-8319 ◽  
Author(s):  
Patricia Sanchez-Vazquez ◽  
Colin N. Dewey ◽  
Nicole Kitten ◽  
Wilma Ross ◽  
Richard L. Gourse
Keyword(s):  
Rna Polymerase ◽  
Dna Sequences ◽  
Binding Sites ◽  
Promoter Sequence ◽  
In Vitro Transcription ◽  
Transcriptional Responses ◽  
Transcription Analysis ◽  
Genome Wide

The second messenger nucleotide ppGpp dramatically alters gene expression in bacteria to adjust cellular metabolism to nutrient availability. ppGpp binds to two sites on RNA polymerase (RNAP) inEscherichia coli, but it has also been reported to bind to many other proteins. To determine the role of the RNAP binding sites in the genome-wide effects of ppGpp on transcription, we used RNA-seq to analyze transcripts produced in response to elevated ppGpp levels in strains with/without the ppGpp binding sites on RNAP. We examined RNAs rapidly after ppGpp production without an accompanying nutrient starvation. This procedure enriched for direct effects of ppGpp on RNAP rather than for indirect effects on transcription resulting from starvation-induced changes in metabolism or on secondary events from the initial effects on RNAP. The transcriptional responses of all 757 genes identified after 5 minutes of ppGpp induction depended on ppGpp binding to RNAP. Most (>75%) were not reported in earlier studies. The regulated transcripts encode products involved not only in translation but also in many other cellular processes. In vitro transcription analysis of more than 100 promoters from the in vivo dataset identified a large collection of directly regulated promoters, unambiguously demonstrated that most effects of ppGpp on transcription in vivo were direct, and allowed comparison of DNA sequences from inhibited, activated, and unaffected promoter classes. Our analysis greatly expands our understanding of the breadth of the stringent response and suggests promoter sequence features that contribute to the specific effects of ppGpp.

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