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Dnase-seq

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https://www.readbyqxmd.com/read/29126307/universal-correction-of-enzymatic-sequence-bias-reveals-molecular-signatures-of-protein-dna-interactions
#1
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
https://www.readbyqxmd.com/read/29074739/genome-wide-discovery-of-active-regulatory-elements-and-transcription-factor-footprints-in-caenorhabditis-elegans-using-dnase-seq
#2
Paul Sternberg, Margaret Ho, Porfirio Quintero-Cadena
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...
October 26, 2017: Genome Research
https://www.readbyqxmd.com/read/29069282/chromatin-accessibility-prediction-via-a-hybrid-deep-convolutional-neural-network
#3
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
https://www.readbyqxmd.com/read/29059382/dreambase-dna-modification-rna-regulation-and-protein-binding-of-expressed-pseudogenes-in-human-health-and-disease
#4
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 (http://rna.sysu.edu.cn/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
https://www.readbyqxmd.com/read/28904015/sasquatch-predicting-the-impact-of-regulatory-snps-on-transcription-factor-binding-from-cell-and-tissue-specific-dnase-footprints
#5
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
https://www.readbyqxmd.com/read/28789639/cipher-a-flexible-and-extensive-workflow-platform-for-integrative-next-generation-sequencing-data-analysis-and-genomic-regulatory-element-prediction
#6
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
https://www.readbyqxmd.com/read/28764645/correcting-nucleotide-specific-biases-in-high-throughput-sequencing-data
#7
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
https://www.readbyqxmd.com/read/28704389/differential-chromatin-profiles-partially-determine-transcription-factor-binding
#8
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
https://www.readbyqxmd.com/read/28680085/prediction-of-chromatin-accessibility-in-gene-regulatory-regions-from-transcriptomics-data
#9
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
https://www.readbyqxmd.com/read/28642500/genome-wide-mapping-of-dnase-i-hypersensitive-sites-reveals-chromatin-accessibility-changes-in-arabidopsis-euchromatin-and-heterochromatin-regions-under-extended-darkness
#10
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
https://www.readbyqxmd.com/read/28623584/dnase-i-sim-a-simplified-in-nucleus-method-for-dnase-i-hypersensitive-site-sequencing
#11
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
https://www.readbyqxmd.com/read/28549169/regulatory-dynamics-of-11p13-suggest-a-role-for-ehf-in-modifying-cf-lung-disease-severity
#12
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
https://www.readbyqxmd.com/read/28544514/dynamic-enhancer-function-in-the-chromatin-context
#13
REVIEW
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
https://www.readbyqxmd.com/read/28538187/bivariate-genomic-footprinting-detects-changes-in-transcription-factor-activity
#14
Songjoon Baek, Ido Goldstein, Gordon L Hager
In response to activating signals, transcription factors (TFs) bind DNA and regulate gene expression. TF binding can be measured by protection of the bound sequence from DNase digestion (i.e., footprint). Here, we report that 80% of TF binding motifs do not show a measurable footprint, partly because of a variable cleavage pattern within the motif sequence. To more faithfully portray the effect of TFs on chromatin, we developed an algorithm that captures two TF-dependent effects on chromatin accessibility: footprinting and motif-flanking accessibility...
May 23, 2017: Cell Reports
https://www.readbyqxmd.com/read/28505247/single-cell-regulome-data-analysis-by-scrat
#15
Zhicheng Ji, Weiqiang Zhou, Hongkai Ji
Summary: Emerging single-cell technologies (e.g. single-cell ATAC-seq, DNase-seq or ChIP-seq) have made it possible to assay regulome of individual cells. Single-cell regulome data are highly sparse and discrete. Analyzing such data is challenging. User-friendly software tools are still lacking. We present SCRAT, a Single-Cell Regulome Analysis Toolbox with a graphical user interface, for studying cell heterogeneity using single-cell regulome data. SCRAT can be used to conveniently summarize regulatory activities according to different features (e...
September 15, 2017: Bioinformatics
https://www.readbyqxmd.com/read/28321907/systematical-analyses-of-variants-in-dnase-i-hypersensitive-sites-to-identify-hepatocellular-carcinoma-susceptibility-loci-in-a-chinese-population
#16
Tao Jiang, Fangzhi Du, Na Qin, Qun Lu, Juncheng Dai, Hongbing Shen, Zhibin Hu
BACKGROUND AND AIM: Although several variants located at coding and non-coding regions were evaluated by previous studies, the evidence for associations between variants located in DNase I-hypersensitive sites (DHSs) and hepatocellular carcinoma (HCC) risk was still limited. Recent advances using ENCODE data indicated that genetic variants in DHSs played an important role in carcinogenesis. Therefore, systematically investigating the associations between regulatory variants in DHSs and HCC risk should be put on the agenda...
November 2017: Journal of Gastroenterology and Hepatology
https://www.readbyqxmd.com/read/28282965/hyper-and-hypo-nutrition-studies-of-the-hepatic-transcriptome-and-epigenome-suggest-that-ppar%C3%AE-regulates-anaerobic-glycolysis
#17
Anthony R Soltis, Shmulik Motola, Santiago Vernia, Christopher W Ng, Norman J Kennedy, Simona Dalin, Bryan J Matthews, Roger J Davis, Ernest Fraenkel
Diet plays a crucial role in shaping human health and disease. Diets promoting obesity and insulin resistance can lead to severe metabolic diseases, while calorie-restricted (CR) diets can improve health and extend lifespan. In this work, we fed mice either a chow diet (CD), a 16 week high-fat diet (HFD), or a CR diet to compare and contrast the effects of these diets on mouse liver biology. We collected transcriptomic and epigenomic datasets from these mice using RNA-Seq and DNase-Seq. We found that both CR and HFD induce extensive transcriptional changes, in some cases altering the same genes in the same direction...
March 14, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28220432/genome-wide-analysis-of-chromatin-accessibility-in-arabidopsis-infected-with-pseudomonas-syringae
#18
Yogendra Bordiya, Hong-Gu Kang
Changes in chromatin accessibility are an important aspect of the molecular changes that occur in eukaryotic cells responding to stress, and they appear to play a critical role in stress-induced transcriptional activation/reprogramming and epigenetic changes. In plants, pathogen infection has been shown to induce rapid and drastic transcriptional reprogramming; growing evidence suggests that chromatin remodeling plays an essential role in this phenomenon. The recent development of genomic tools to assess chromatin accessibility presents a significant opportunity to investigate the relationship between chromatin dynamicity and gene expression...
2017: Methods in Molecular Biology
https://www.readbyqxmd.com/read/28077088/integrated-rna-seq-and-dnase-seq-analyses-identify-phenotype-specific-bmp4-signaling-in-breast-cancer
#19
M Ampuja, T Rantapero, A Rodriguez-Martinez, M Palmroth, E L Alarmo, M Nykter, A Kallioniemi
BACKGROUND: Bone morphogenetic protein 4 (BMP4) plays an important role in cancer pathogenesis. In breast cancer, it reduces proliferation and increases migration in a cell line-dependent manner. To characterize the transcriptional mediators of these phenotypes, we performed RNA-seq and DNase-seq analyses after BMP4 treatment in MDA-MB-231 and T-47D breast cancer cells that respond to BMP4 with enhanced migration and decreased cell growth, respectively. RESULTS: The RNA-seq data revealed gene expression changes that were consistent with the in vitro phenotypes of the cell lines, particularly in MDA-MB-231, where migration-related processes were enriched...
January 11, 2017: BMC Genomics
https://www.readbyqxmd.com/read/28011773/altre-workflow-for-defining-altered-regulatory-elements-using-chromatin-accessibility-data
#20
Elizabeth Baskin, Rick Farouni, Ewy A Mathé
Summary: Regulatory elements regulate gene transcription, and their location and accessibility is cell-type specific, particularly for enhancers. Mapping and comparing chromatin accessibility between different cell types may identify mechanisms involved in cellular development and disease progression. To streamline and simplify differential analysis of regulatory elements genome-wide using chromatin accessibility data, such as DNase-seq, ATAC-seq, we developed ALTRE ( ALT ered R egulatory E lements), an R package and associated R Shiny web app...
March 1, 2017: Bioinformatics
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