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Vivek Behera, Perry Evans, Carolyne J Face, Nicole Hamagami, Laavanya Sankaranarayanan, Cheryl A Keller, Belinda Giardine, Kai Tan, Ross C Hardison, Junwei Shi, Gerd A Blobel
Single-nucleotide variants that underlie phenotypic variation can affect chromatin occupancy of transcription factors (TFs). To delineate determinants of in vivo TF binding and chromatin accessibility, we introduce an approach that compares ChIP-seq and DNase-seq data sets from genetically divergent murine erythroid cell lines. The impact of discriminatory single-nucleotide variants on TF ChIP signal enables definition at single base resolution of in vivo binding characteristics of nuclear factors GATA1, TAL1, and CTCF...
February 22, 2018: Nature Communications
Hainan Zhao, Wenli Zhang, Lifen Chen, Lei Wang, Alexandre P Marand, Yufeng Wu, Jiming Jiang
Genomic regions free of nucleosomes are hypersensitive to DNase I digestion. These genomic regions are known as DNase I hypersensitive sites (DHSs) and frequently contain cis-regulatory DNA elements. We developed high-resolution genome-wide DHS maps in maize using a modified DNase-seq technique. Maize DHSs exhibit depletion of nucleosomes and low levels of DNA methylation, and are enriched with conserved non-coding sequences (CNSs). We developed a protoplast-based transient transformation assay to validate the potential enhancer and/or promoter functions associated with DHSs...
February 20, 2018: Plant Physiology
Austin E Gillen, Rui Yang, Calvin U Cotton, Aura Perez, Scott H Randell, Shih-Hsing Leir, Ann Harris
BACKGROUND: Robust methods to culture primary airway epithelial cells were developed several decades ago and these cells provide the model of choice to investigate many diseases of the human lung. However, the molecular signature of cells from different regions of the airway epithelium has not been well characterized. METHODS: We utilize DNase-seq and RNA-seq to examine the molecular signatures of primary cells derived from human tracheal and bronchial tissues, as well as healthy and diseased (cystic fibrosis (CF)) donor lung tissue...
February 17, 2018: Journal of Cystic Fibrosis: Official Journal of the European Cystic Fibrosis Society
Taemook Kim, Hogyu David Seo, Lothar Hennighausen, Daeyoup Lee, Keunsoo Kang
Octopus-toolkit is a stand-alone application for retrieving and processing large sets of next-generation sequencing (NGS) data with a single step. Octopus-toolkit is an automated set-up-and-analysis pipeline utilizing the Aspera, SRA Toolkit, FastQC, Trimmomatic, HISAT2, STAR, Samtools, and HOMER applications. All the applications are installed on the user's computer when the program starts. Upon the installation, it can automatically retrieve original files of various epigenomic and transcriptomic data sets, including ChIP-seq, ATAC-seq, DNase-seq, MeDIP-seq, MNase-seq and RNA-seq, from the gene expression omnibus data repository...
February 6, 2018: Nucleic Acids Research
J Wu, Y Cai, G Zhao
Estradiol (E2) is the most potent estrogen and RNA polymerase II (Pol II) regulates a great mass of gene expression. This study was designed to illustrate the mechanisms of estrogen-dependent human breast cancer (BC) through Pol II. ChIP-seq data, DNase-seq data and other sequencing data of human BC MCF-7 cells were downloaded from Gene Expression Omnibus database. Each of these datasets included one control and one E2 treated sample. Sequence alignment was performed and Pol II factor binding signal was determined...
2018: Neoplasma
Daniel Kang, Richard Sherwood, Amira Barkal, Tatsunori Hashimoto, Logan Engstrom, David Gifford
We describe DNase-capture, an assay that increases the analytical resolution of DNase-seq by focusing its sequencing phase on selected genomic regions. We introduce a new method to compensate for capture bias called BaseNormal that allows for accurate recovery of transcription factor protection profiles from DNase-capture data. We show that these normalized data allow for nuanced detection of transcription factor binding heterogeneity with as few as dozens of sites.
2017: PloS One
Ivana Grbesa, Miriam Tannenbaum, Avital Sarusi-Portuguez, Michal Schwartz, Ofir Hakim
Assay for Transposase-Accessible Chromatin with high-throughput sequencing (ATAC-seq) is a method used for the identification of open (accessible) regions of chromatin. These regions represent regulatory DNA elements (e.g., promoters, enhancers, locus control regions, insulators) to which transcription factors bind. Mapping the accessible chromatin landscape is a powerful approach for uncovering active regulatory elements across the genome. This information serves as an unbiased approach for discovering the network of relevant transcription factors and mechanisms of chromatin structure that govern gene expression programs...
November 13, 2017: Journal of Visualized Experiments: JoVE
André L Martins, Ninad M Walavalkar, Warren D Anderson, Chongzhi Zang, Michael J Guertin
Coupling molecular biology to high-throughput sequencing has revolutionized the study of biology. Molecular genomics techniques are continually refined to provide higher resolution mapping of nucleic acid interactions and structure. Sequence preferences of enzymes can interfere with the accurate interpretation of these data. We developed seqOutBias to characterize enzymatic sequence bias from experimental data and scale individual sequence reads to correct intrinsic enzymatic sequence biases. SeqOutBias efficiently corrects DNase-seq, TACh-seq, ATAC-seq, MNase-seq and PRO-seq data...
November 8, 2017: Nucleic Acids Research
Margaret C W Ho, Porfirio Quintero-Cadena, Paul W Sternberg
Deep sequencing of size-selected DNase I-treated chromatin (DNase-seq) allows high-resolution measurement of chromatin accessibility to DNase I cleavage, permitting identification of de novo active cis -regulatory modules (CRMs) and individual transcription factor (TF) binding sites. We adapted DNase-seq to nuclei isolated from C. elegans embryos and L1 arrest larvae to generate high-resolution maps of TF binding. Over half of embryonic DNase I hypersensitive sites (DHSs) were annotated as noncoding, with 24% in intergenic, 12% in promoters, and 28% in introns, with similar statistics observed in L1 arrest larvae...
December 2017: Genome Research
Qiao Liu, Fei Xia, Qijin Yin, Rui Jiang
Motivation: A majority of known genetic variants associated with human inherited diseases lie in non-coding regions that lack adequate interpretation, making it indispensable to systematically discover functional sites at the whole genome level and precisely decipher their implications in a comprehensive manner. Although computational approaches have been complementing high-throughput biological experiments towards the annotation of the human genome, it still remains a big challenge to accurately annotate regulatory elements in the context of a specific cell type via automatic learning of the DNA sequence code from large-scale sequencing data...
October 23, 2017: Bioinformatics
Ling-Ling Zheng, Ke-Ren Zhou, Shun Liu, Ding-Yao Zhang, Ze-Lin Wang, Zhi-Rong Chen, Jian-Hua Yang, Liang-Hu Qu
Although thousands of pseudogenes have been annotated in the human genome, their transcriptional regulation, expression profiles and functional mechanisms are largely unknown. In this study, we developed dreamBase ( to facilitate the investigation of DNA modification, RNA regulation and protein binding of potential expressed pseudogenes from multidimensional high-throughput sequencing data. Based on ∼5500 ChIP-seq and DNase-seq datasets, we identified genome-wide binding profiles of various transcription-associated factors around pseudogene loci...
October 20, 2017: Nucleic Acids Research
Ron Schwessinger, Maria C Suciu, Simon J McGowan, Jelena Telenius, Stephen Taylor, Doug R Higgs, Jim R Hughes
In the era of genome-wide association studies (GWAS) and personalized medicine, predicting the impact of single nucleotide polymorphisms (SNPs) in regulatory elements is an important goal. Current approaches to determine the potential of regulatory SNPs depend on inadequate knowledge of cell-specific DNA binding motifs. Here, we present Sasquatch, a new computational approach that uses DNase footprint data to estimate and visualize the effects of noncoding variants on transcription factor binding. Sasquatch performs a comprehensive k-mer-based analysis of DNase footprints to determine any k-mer's potential for protein binding in a specific cell type and how this may be changed by sequence variants...
October 2017: Genome Research
Carlos Guzman, Iván D'Orso
BACKGROUND: Next-generation sequencing (NGS) approaches are commonly used to identify key regulatory networks that drive transcriptional programs. Although these technologies are frequently used in biological studies, NGS data analysis remains a challenging, time-consuming, and often irreproducible process. Therefore, there is a need for a comprehensive and flexible workflow platform that can accelerate data processing and analysis so more time can be spent on functional studies. RESULTS: We have developed an integrative, stand-alone workflow platform, named CIPHER, for the systematic analysis of several commonly used NGS datasets including ChIP-seq, RNA-seq, MNase-seq, DNase-seq, GRO-seq, and ATAC-seq data...
August 8, 2017: BMC Bioinformatics
Jeremy R Wang, Bryan Quach, Terrence S Furey
BACKGROUND: High-throughput sequence (HTS) data exhibit position-specific nucleotide biases that obscure the intended signal and reduce the effectiveness of these data for downstream analyses. These biases are particularly evident in HTS assays for identifying regulatory regions in DNA (DNase-seq, ChIP-seq, FAIRE-seq, ATAC-seq). Biases may result from many experiment-specific factors, including selectivity of DNA restriction enzymes and fragmentation method, as well as sequencing technology-specific factors, such as choice of adapters/primers and sample amplification methods...
August 1, 2017: BMC Bioinformatics
Rujian Chen, David K Gifford
We characterize how genomic variants that alter chromatin accessibility influence regulatory factor binding with a new method called DeltaBind that predicts condition specific factor binding more accurately than other methods based on DNase-seq data. Using DeltaBind and DNase-seq experiments we predicted the differential binding of 18 factors in K562 and GM12878 cells with an average precision of 28% at 10% recall, with the prediction of individual factors ranging from 5% to 65% precision. We further found that genome variants that alter chromatin accessibility are not necessarily predictive of altering proximal factor binding...
2017: PloS One
Sascha Jung, Vladimir Espinosa Angarica, Miguel A Andrade-Navarro, Noel J Buckley, Antonio Del Sol
The epigenetics landscape of cells plays a key role in the establishment of cell-type specific gene expression programs characteristic of different cellular phenotypes. Different experimental procedures have been developed to obtain insights into the accessible chromatin landscape including DNase-seq, FAIRE-seq and ATAC-seq. However, current downstream computational tools fail to reliably determine regulatory region accessibility from the analysis of these experimental data. In particular, currently available peak calling algorithms are very sensitive to their parameter settings and show highly heterogeneous results, which hampers a trustworthy identification of accessible chromatin regions...
July 5, 2017: Scientific Reports
Yue Liu, Wenli Zhang, Kang Zhang, Qi You, Hengyu Yan, Yuannian Jiao, Jiming Jiang, Wenying Xu, Zhen Su
Light, as the energy source in photosynthesis, is essential for plant growth and development. Extended darkness causes dramatic gene expression changes. In this study, we applied DNase-seq (DNase I hypersensitive site sequencing) to study changes of chromatin accessibility in euchromatic and heterochromatic regions under extended darkness in Arabidopsis. We generated 27 Gb DNase-seq and 67.6 Gb RNA-seq data to investigate chromatin accessibility changes and global gene expression under extended darkness and control condition in Arabidopsis...
June 22, 2017: Scientific Reports
Sergei A Filichkin, Molly Megraw
Identifying cis-regulatory elements is critical in understanding the direct and indirect interactions that occur within gene regulatory networks. Current approaches include DNase-seq, a technique that combines sensitivity to the nonspecific endonuclease DNase I with high-throughput sequencing to identify regions of regulatory DNA on a genome-wide scale. Yet, challenges still remain in processing recalcitrant tissues that have low DNA content. Here, we describe DNase I SIM (for Simplified In-nucleus Method), a protocol that simplifies and facilitates generation of DNase-seq libraries from plant tissues for high-resolution mapping of DNase I hypersensitive sites...
2017: Methods in Molecular Biology
Lindsay R Stolzenburg, Rui Yang, Jenny L Kerschner, Sara Fossum, Matthew Xu, Andrew Hoffmann, Kay-Marie Lamar, Sujana Ghosh, Sarah Wachtel, Shih-Hsing Leir, Ann Harris
Mutations in the cystic fibrosis transmembrane conductance regulator (CFTR) gene cause cystic fibrosis (CF), but are not good predictors of lung phenotype. Genome-wide association studies (GWAS) previously identified additional genomic sites associated with CF lung disease severity. One of these, at chromosome 11p13, is an intergenic region between Ets homologous factor (EHF) and Apaf-1 interacting protein (APIP). Our goal was to determine the functional significance of this region, which being intergenic is probably regulatory...
September 6, 2017: Nucleic Acids Research
Ido Goldstein, Gordon L Hager
Enhancers serve as critical regulatory elements in higher eukaryotic cells. The characterization of enhancer function has evolved primarily from genome-wide methodologies, including chromatin immunoprecipitation (ChIP-seq), DNase-I hypersensitivity (DNase-seq), digital genomic footprinting (DGF), and the chromosome conformation capture techniques (3C, 4C, and Hi-C). These population-based assays average signals across millions of cells and lead to enhancer models characterized by static and sequential binding...
May 22, 2017: Wiley Interdisciplinary Reviews. Systems Biology and Medicine
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