scholarly journals Enhancer occlusion transcripts regulate the activity of human enhancer domains via transcriptional interference: a computational perspective

2020 ◽  
Vol 48 (7) ◽  
pp. 3435-3454
Author(s):  
Amit Pande ◽  
Wojciech Makalowski ◽  
Jürgen Brosius ◽  
Carsten A Raabe

Abstract Analysis of ENCODE long RNA-Seq and ChIP-seq (Chromatin Immunoprecipitation Sequencing) datasets for HepG2 and HeLa cell lines uncovered 1647 and 1958 transcripts that interfere with transcription factor binding to human enhancer domains. TFBSs (Transcription Factor Binding Sites) intersected by these ‘Enhancer Occlusion Transcripts’ (EOTrs) displayed significantly lower relative transcription factor (TF) binding affinities compared to TFBSs for the same TF devoid of EOTrs. Expression of most EOTrs was regulated in a cell line specific manner; analysis for the same TFBSs across cell lines, i.e. in the absence or presence of EOTrs, yielded consistently higher relative TF/DNA-binding affinities for TFBSs devoid of EOTrs. Lower activities of EOTr-associated enhancer domains coincided with reduced occupancy levels for histone tail modifications H3K27ac and H3K9ac. Similarly, the analysis of EOTrs with allele-specific expression identified lower activities for alleles associated with EOTrs. ChIA-PET (Chromatin Interaction Analysis by Paired-End Tag Sequencing) and 5C (Carbon Copy Chromosome Conformation Capture) uncovered that enhancer domains associated with EOTrs preferentially interacted with poised gene promoters. Analysis of EOTr regions with GRO-seq (Global run-on) data established the correlation of RNA polymerase pausing and occlusion of TF-binding. Our results implied that EOTr expression regulates human enhancer domains via transcriptional interference.

2015 ◽  
Vol 9S4 ◽  
pp. BBI.S29330
Author(s):  
Stephen A. Ramsey

A Bayesian method for sampling from the distribution of matches to a precompiled transcription factor binding site (TFBS) sequence pattern (conditioned on an observed nucleotide sequence and the sequence pattern) is described. The method takes a position frequency matrix as input for a set of representative binding sites for a transcription factor and two sets of noncoding, 5’ regulatory sequences for gene sets that are to be compared. An empirical prior on the frequency A (per base pair of gene-vicinal, noncoding DNA) of TFBSs is developed using data from the ENCODE project and incorporated into the method. In addition, a probabilistic model for binding site occurrences conditioned on λ is developed analytically, taking into account the finite-width effects of binding sites. The count of TFBS β (conditioned on the observed sequence) is sampled using Metropolis-Hastings with an information entropybased move generator. The derivation of the method is presented in a step-by-step fashion, starting from specific conditional independence assumptions. Empirical results show that the newly proposed prior on β improves accuracy for estimating the number of TFBS within a set of promoter sequences.


2012 ◽  
Vol 29 (4) ◽  
pp. 468-475 ◽  
Author(s):  
Rosario M. Piro ◽  
Ivan Molineris ◽  
Ferdinando Di Cunto ◽  
Roland Eils ◽  
Rainer König

Author(s):  
Huimin Xie ◽  
Hanne M. Hoffmann ◽  
Anita K. Iyer ◽  
Melissa J. Brayman ◽  
Cindy Ngo ◽  
...  

2015 ◽  
Vol 44 (6) ◽  
pp. e51-e51 ◽  
Author(s):  
Yair Glick ◽  
Yaron Orenstein ◽  
Dana Chen ◽  
Dorit Avrahami ◽  
Tsaffrir Zor ◽  
...  

2014 ◽  
Vol 111 (37) ◽  
pp. 13367-13372 ◽  
Author(s):  
Dan Benveniste ◽  
Hans-Joachim Sonntag ◽  
Guido Sanguinetti ◽  
Duncan Sproul

2008 ◽  
Vol 24 (16) ◽  
pp. 1745-1748 ◽  
Author(s):  
Meng Li ◽  
Hyun-il Henry Paik ◽  
Curt Balch ◽  
Yoosung Kim ◽  
Lang Li ◽  
...  

1995 ◽  
Vol 15 (10) ◽  
pp. 5346-5354 ◽  
Author(s):  
M L Espinás ◽  
J Roux ◽  
R Pictet ◽  
T Grange

The rat tyrosine aminotransferase gene is a model system to study transcriptional regulation by glucocorticoid hormones. We analyzed transcription factor binding to the tyrosine aminotransferase gene glucocorticoid-responsive unit (GRU) at kb -2.5, using in vivo footprinting studies with both dimethyl sulfate and DNase I. At this GRU, glucocorticoid activation triggers a disruption of the nucleosomal structure. We show here that various regulatory pathways affect transcription factor binding to this GRU. The binding differs in two closely related glucocorticoid-responsive hepatoma cell lines. In line H4II, glucocorticoid induction promotes the recruitment of hepatocyte nuclear factor 3 (HNF3), presumably through the nucleosomal disruption. However, the footprint of the glucocorticoid receptor (GR) is not visible, even though a regular but transient interaction of the GR is necessary to maintain HNF3 binding. In contrast, in line FTO2B, HNF3 binds to the GRU in the absence of glucocorticoids and nucleosomal disruption, showing that a "closed" chromatin conformation does not repress the binding of certain transcription factors in a uniform manner. In FTO2B cells, the footprint of the GR is detectable, but this requires the activation of protein kinase A. In addition, protein kinase A stimulation also improves the recruitment of HNF3 independently of glucocorticoids and enhances the glucocorticoid response mediated by this GRU in an HNF3-dependent manner. In conclusion, the differences in the behavior of this regulatory sequence in the two cell lines show that various regulatory pathways are integrated at this GRU through modulation of interrelated events: transcription factor binding to DNA and nucleosomal disruption.


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