scholarly journals Faculty Opinions recommendation of Alternative Activation of Macrophages Is Accompanied by Chromatin Remodeling Associated with Lineage-Dependent DNA Shape Features Flanking PU.1 Motifs.

Author(s):  
Achsah Keegan
2020 ◽  
Vol 205 (4) ◽  
pp. 1070-1083
Author(s):  
Mei San Tang ◽  
Emily R. Miraldi ◽  
Natasha M. Girgis ◽  
Richard A. Bonneau ◽  
P’ng Loke

2018 ◽  
Author(s):  
Mei San Tang ◽  
Emily R. Miraldi ◽  
Natasha M. Girgis ◽  
Richard A. Bonneau ◽  
P’ng Loke

AbstractInterleukin-4 (IL-4) activates macrophages to adopt a distinct phenotype associated with clearance of helminth infections and tissue repair. Here, we describe changes in the accessible chromatin landscape following IL-4 stimulation of terminally differentiated mouse peritoneal macrophages. This chromatin remodeling process occurs in both tissue resident and monocyte-derived macrophages, but the regions gaining accessibility post-stimulation are macrophage-specific. PU.1 motif is similarly associated with tissue resident and monocyte-derived IL-4 induced regions, but has macrophage-specific DNA shape and predicted co-factors. In addition, IL-4 stimulation leads to short-term dampening of macrophage secondary response. However, the degree of dampening differs between macrophages derived from different genetic backgrounds. Together, these results lead us to propose that DNA sequence variations can alter parts of the accessible chromatin landscape and differences in secondary responses due to host genetics can contribute to phenotypic variations in immune responses.


2021 ◽  
Author(s):  
Zian Liu ◽  
Md Abul Hassan Samee

AbstractSingle nucleotide mutation rates have critical implications for human evolution and genetic diseases. Accurate modeling of these mutation rates has long remained an open problem since the rates vary substantially across the human genome. A recent model, however, explained much of the variation by considering higher order nucleotide interactions in the local (7-mer) sequence context around mutated nucleotides. Despite this model’s predictive value, we still lack a clear understanding of the biophysical mechanisms underlying the variations in genome-wide mutation rates. DNA shape features are geometric measurements of DNA structural properties, such as helical twist and tilt, and are known to capture information on interactions between neighboring nucleotides within a local context. Motivated by this characteristic of DNA shape features, we used them to model mutation rates in the human genome. These DNA shape feature based models improved both the accuracy (up to 14%) and the interpretability over the current nucleotide sequence-based models. The models also discovered the specific shape features that capture the most variability in mutation rates, and distinguished between the most and the least mutated sequence contexts, thus characterizing mutation promoting properties of the genomic DNA. To our knowledge, this is the first attempt that demonstrates the structural underpinnings of nucleotide mutations in the human genome and lays the groundwork for future studies to incorporate DNA shape information in modeling genetic variations.


2013 ◽  
Vol 42 (D1) ◽  
pp. D148-D155 ◽  
Author(s):  
Lin Yang ◽  
Tianyin Zhou ◽  
Iris Dror ◽  
Anthony Mathelier ◽  
Wyeth W. Wasserman ◽  
...  

2018 ◽  
Author(s):  
Soumitra Pal ◽  
Jan Hoinka ◽  
Teresa M. Przytycka

AbstractUnderstanding the principles of DNA binding by transcription factors (TFs) is of primary importance for studying gene regulation. Recently, several lines of evidence suggested that both DNA sequence and shape contribute to TF binding. However, the question if in the absence of any sequence similarity to the binding motif, DNA shape can still increase probability of binding was yet to be addressed.To address this challenge, we developed Co-SELECT, a computational approach to analyze the results of in vitro HT-SELEX experiments for TF-DNA binding. Specifically, the presence of motif-free sequences in late HT-SELEX rounds and their enrichment in weak binders allowed us to detect evidence for the role of DNA shape features in TF binding.Our approach revealed that, even in the absence of the sequence motif, TFs have propensity to weakly bind to DNA molecules enriched in specific shape features. Surprisingly, we also found that some properties of DNA shape contribute to promiscuous binding of all tested TF families. Strikingly, such promiscuously bound shapes correspond to the most frequent shape formed by the DNA. We propose that this promiscuous binding facilitates diffusing of TFs along the DNA molecule before it is locked in its binding site.


Cell Systems ◽  
2016 ◽  
Vol 3 (3) ◽  
pp. 278-286.e4 ◽  
Author(s):  
Anthony Mathelier ◽  
Beibei Xin ◽  
Tsu-Pei Chiu ◽  
Lin Yang ◽  
Remo Rohs ◽  
...  

Author(s):  
Tsu-Pei Chiu ◽  
Beibei Xin ◽  
Nicholas Markarian ◽  
Yingfei Wang ◽  
Remo Rohs

AbstractTFBSshape (https://tfbsshape.usc.edu) is a motif database for analyzing structural profiles of transcription factor binding sites (TFBSs). The main rationale for this database is to be able to derive mechanistic insights in protein–DNA readout modes from sequencing data without available structures. We extended the quantity and dimensionality of TFBSshape, from mostly in vitro to in vivo binding and from unmethylated to methylated DNA. This new release of TFBSshape improves its functionality and launches a responsive and user-friendly web interface for easy access to the data. The current expansion includes new entries from the most recent collections of transcription factors (TFs) from the JASPAR and UniPROBE databases, methylated TFBSs derived from in vitro high-throughput EpiSELEX-seq binding assays and in vivo methylated TFBSs from the MeDReaders database. TFBSshape content has increased to 2428 structural profiles for 1900 TFs from 39 different species. The structural profiles for each TFBS entry now include 13 shape features and minor groove electrostatic potential for standard DNA and four shape features for methylated DNA. We improved the flexibility and accuracy for the shape-based alignment of TFBSs and designed new tools to compare methylated and unmethylated structural profiles of TFs and methods to derive DNA shape-preserving nucleotide mutations in TFBSs.


2017 ◽  
Vol 45 (22) ◽  
pp. 12877-12887 ◽  
Author(s):  
Jinsen Li ◽  
Jared M. Sagendorf ◽  
Tsu-Pei Chiu ◽  
Marco Pasi ◽  
Alberto Perez ◽  
...  

2019 ◽  
Vol 47 (13) ◽  
pp. 6632-6641 ◽  
Author(s):  
Soumitra Pal ◽  
Jan Hoinka ◽  
Teresa M Przytycka

Abstract Understanding the principles of DNA binding by transcription factors (TFs) is of primary importance for studying gene regulation. Recently, several lines of evidence suggested that both DNA sequence and shape contribute to TF binding. However, the following compelling question is yet to be considered: in the absence of any sequence similarity to the binding motif, can DNA shape still increase binding probability? To address this challenge, we developed Co-SELECT, a computational approach to analyze the results of in vitro HT-SELEX experiments for TF–DNA binding. Specifically, Co-SELECT leverages the presence of motif-free sequences in late HT-SELEX rounds and their enrichment in weak binders allows Co-SELECT to detect an evidence for the role of DNA shape features in TF binding. Our approach revealed that, even in the absence of the sequence motif, TFs have propensity to bind to DNA molecules of the shape consistent with the motif specific binding. This provides the first direct evidence that shape features that accompany the preferred sequence motifs also bestow an advantage for weak, sequence non-specific binding.


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