scholarly journals Genome-Wide Identification of Estrogen Receptor Alpha Regulated miRNAs Using Transcription Factor Binding Data

10.5772/20696 ◽  
2011 ◽  
Author(s):  
Jianzhen Xu ◽  
Xi Zhou ◽  
Chi-Wai Wong
Keyword(s):  
Estrogen Receptor ◽  
Transcription Factor ◽  
Estrogen Receptor Alpha ◽  
Transcription Factor Binding ◽  
Factor Binding ◽  
Receptor Alpha ◽  
Genome Wide ◽  
Binding Data

scholarly journals Novel Quantitative ChIP-seq Methods Measure Absolute Fold-Change in ER Binding Upon Fulvestrant Treatment

2017 ◽  
Author(s):  
Michael J. Guertin ◽  
Amy E Cullen ◽  
Florian Markowetz ◽  
Andrew N. Holding
Keyword(s):  
Transcription Factor ◽  
Estrogen Receptor Alpha ◽  
Internal Standard ◽  
Read Depth ◽  
Transcription Factor Binding ◽  
Alternative Methods ◽  
Underlying Assumption ◽  
Factor Binding ◽  
Genome Wide ◽  
Differential Transcription

A key challenge in quantitative ChIP-seq is the normalisation of data in the presence of genome-wide changes in occupancy. Analysis-based normalisation methods were developed for transcriptomic data and these are dependent on the underlying assumption that total transcription does not change between conditions. For genome-wide changes in transcription factor binding, these assumptions do not hold true. The challenges in normalisation are confounded by experimental variability during sample preparation, processing, and recovery. We present a novel normalisation strategy utilising an internal standard of unchanged peaks for reference. Our method can be readily applied to monitor genome- wide changes by ChIP-seq that are otherwise lost or misrepresented through analytical normalisation. We compare our approach to normalisation by total read depth and two alternative methods that utilise external experimental controls to study transcription factor binding. We successfully resolve the key challenges in quantitative ChIP-seq analysis and demonstrate its application by monitoring the loss of Estrogen Receptor-alpha (ER) binding upon fulvestrant treatment, ER binding in response to estrodiol, ER mediated change in H4K12 acetylation and profiling ER binding in Patient-Derived Xenographs. This is supported by an adaptable pipeline to normalise and quantify differential transcription factor binding genome- wide and generate metrics for differential binding at individual sites.

scholarly journals Subtype-associated epigenomic landscape and 3D genome structure in bladder cancer

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Tejaswi Iyyanki ◽  
Baozhen Zhang ◽  
Qixuan Wang ◽  
Ye Hou ◽  
Qiushi Jin ◽  
...  
Keyword(s):  
Bladder Cancer ◽  
Transcription Factor ◽  
Cancer Cell ◽  
Genome Structure ◽  
Transcription Factor Binding ◽  
Specific Gene ◽  
Open Chromatin ◽  
Factor Binding ◽  
3D Genome ◽  
Genome Wide

Abstract Muscle-invasive bladder cancers are characterized by their distinct expression of luminal and basal genes, which could be used to predict key clinical features such as disease progression and overall survival. Transcriptionally, FOXA1, GATA3, and PPARG are shown to be essential for luminal subtype-specific gene regulation and subtype switching, while TP63, STAT3, and TFAP2 family members are critical for regulation of basal subtype-specific genes. Despite these advances, the underlying epigenetic mechanisms and 3D chromatin architecture responsible for subtype-specific regulation in bladder cancer remain unknown. Result We determine the genome-wide transcriptome, enhancer landscape, and transcription factor binding profiles of FOXA1 and GATA3 in luminal and basal subtypes of bladder cancer. Furthermore, we report the first-ever mapping of genome-wide chromatin interactions by Hi-C in both bladder cancer cell lines and primary patient tumors. We show that subtype-specific transcription is accompanied by specific open chromatin and epigenomic marks, at least partially driven by distinct transcription factor binding at distal enhancers of luminal and basal bladder cancers. Finally, we identify a novel clinically relevant transcription factor, Neuronal PAS Domain Protein 2 (NPAS2), in luminal bladder cancers that regulates other subtype-specific genes and influences cancer cell proliferation and migration. Conclusion In summary, our work identifies unique epigenomic signatures and 3D genome structures in luminal and basal urinary bladder cancers and suggests a novel link between the circadian transcription factor NPAS2 and a clinical bladder cancer subtype.

scholarly journals Genome-Wide Identification of Transcription Start Sites, Promoters and Transcription Factor Binding Sites in E. coli

PLoS ONE ◽  
2009 ◽  
Vol 4 (10) ◽  
pp. e7526 ◽  
Author(s):  
Alfredo Mendoza-Vargas ◽  
Leticia Olvera ◽  
Maricela Olvera ◽  
Ricardo Grande ◽  
Leticia Vega-Alvarado ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Binding Sites ◽  
Transcription Factor Binding Sites ◽  
Transcription Factor Binding ◽  
Transcription Start ◽  
Transcription Start Sites ◽  
E Coli ◽  
Factor Binding ◽  
Genome Wide

scholarly journals Repression of ESR1 through Actions of Estrogen Receptor Alpha and Sin3A at the Proximal Promoter

2009 ◽  
Vol 29 (18) ◽  
pp. 4949-4958 ◽  
Author(s):  
Stephanie J. Ellison-Zelski ◽  
Natalia M. Solodin ◽  
Elaine T. Alarid
Keyword(s):  
Gene Expression ◽  
Estrogen Receptor ◽  
Transcription Factor ◽  
Rna Polymerase Ii ◽  
Transcriptional Repression ◽  
Estrogen Receptor Alpha ◽  
Proximal Promoter ◽  
Receptor Alpha ◽  
Expression Of Genes ◽  
Activation Of Transcription

ABSTRACT Gene expression results from the coordinated actions of transcription factor proteins and coregulators. Estrogen receptor alpha (ERα) is a ligand-activated transcription factor that can both activate and repress the expression of genes. Activation of transcription by estrogen-bound ERα has been studied in detail, as has antagonist-induced repression, such as that which occurs by tamoxifen. How estrogen-bound ERα represses gene transcription remains unclear. In this report, we identify a new mechanism of estrogen-induced transcriptional repression by using the ERα gene, ESR1. Upon estrogen treatment, ERα is recruited to two sites on ESR1, one distal (ENH1) and the other at the proximal (A) promoter. Coactivator proteins, namely, p300 and AIB1, are found at both ERα-binding sites. However, recruitment of the Sin3A repressor, loss of RNA polymerase II, and changes in histone modifications occur only at the A promoter. Reduction of Sin3A expression by RNA interference specifically inhibits estrogen-induced repression of ESR1. Furthermore, an estrogen-responsive interaction between Sin3A and ERα is identified. These data support a model of repression wherein actions of ERα and Sin3A at the proximal promoter can overcome activating signals at distal or proximal sites and ultimately decrease gene expression.

scholarly journals Identification and characterization of constrained non-exonic bases lacking predictive epigenomic and transcription factor binding annotations

2019 ◽  
Author(s):  
Olivera Grujic ◽  
Tanya N. Phung ◽  
Soo Bin Kwon ◽  
Adriana Arneson ◽  
Yuju Lee ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Transcription Factor Binding ◽  
Regulatory Sequence ◽  
Human Genetic Variation ◽  
Sequence Motifs ◽  
Variant Prioritization ◽  
Factor Binding ◽  
Genome Wide ◽  
Identification And Characterization

AbstractAnnotations of evolutionarily constraint provide important information for variant prioritization. Genome-wide maps of epigenomic marks and transcription factor binding provide complementary information for interpreting a subset of such prioritized variants. Here we developed the Constrained Non-Exonic Predictor (CNEP) to quantify the evidence of each base in the human genome being in a constrained non-exonic element from over 60,000 epigenomic and transcription factor binding features. We find that the CNEP score outperforms baseline and related existing scores at predicting constrained non-exonic bases from such data. However, a subset of such bases are still not well predicted by CNEP. We developed a complementary Conservation Signature Score by CNEP (CSS-CNEP) using conservation state and constrained element annotations that is predictive of those bases. Using human genetic variation, regulatory sequence motifs, mouse epigenomic data, and retrospectively considered additional human data we further characterize the nature of constrained non-exonic bases with low CNEP scores.

scholarly journals Detecting genome-wide directional effects of transcription factor binding on polygenic disease risk

2018 ◽  
Vol 50 (10) ◽  
pp. 1483-1493 ◽  
Author(s):  
Yakir A. Reshef ◽  
Hilary K. Finucane ◽  
David R. Kelley ◽  
Alexander Gusev ◽  
Dylan Kotliar ◽  
...  
Keyword(s):  
Transcription Factor ◽  
Disease Risk ◽  
Transcription Factor Binding ◽  
Factor Binding ◽  
Polygenic Disease ◽  
Genome Wide
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