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We report the generation of an organism-wide catalog of 976,813 -acting regulatory elements for the bovine detected by the assay for transposase accessible chromatin using sequencing (ATAC-seq). We regroup these regulatory elements in 16 components by nonnegative matrix factorization. Correlation between the genome-wide density of peaks and transcription start sites, correlation between peak accessibility and expression of neighboring genes, and enrichment in transcription factor binding motifs support their regulatory potential. Using a previously established catalog of 12,736,643 variants, we show that the proportion of single-nucleotide polymorphisms mapping to ATAC-seq peaks is higher than expected and that this is owing to an approximately 1.3-fold higher mutation rate within peaks. Their site frequency spectrum indicates that variants in ATAC-seq peaks are subject to purifying selection. We generate eQTL data sets for liver and blood and show that variants that drive eQTL fall into liver- and blood-specific ATAC-seq peaks more often than expected by chance. We combine ATAC-seq and eQTL data to estimate that the proportion of regulatory variants mapping to ATAC-seq peaks is approximately one in three and that the proportion of variants mapping to ATAC-seq peaks that are regulatory is approximately one in 25. We discuss the implication of these findings on the utility of ATAC-seq information to improve the accuracy of genomic selection.
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http://dx.doi.org/10.1101/gr.277947.123 | DOI Listing |
Hum Mutat
August 2025
Research Laboratory, Shenzhen Baoan Women's and Children's Hospital, Shenzhen, Guangdong, China.
The purpose of this study is to identify genes and transcription factors underlying functional differences in neonatal versus adult peripheral blood monocytes, elucidating mechanisms of severe Group B streptococcus (GBS) infection in neonates. Differentially expressed genes (DEGs) in neonatal and adult peripheral blood monocytes were detected via RNA sequencing (RNA-seq), followed by assay for transposase-accessible chromatin sequencing (ATAC-seq) to characterize differentially accessible region (DAR)-associated genes. Integrated analyses of RNA-seq and ATAC-seq pinpointed candidate genes and transcription factors.
View Article and Find Full Text PDFAnimals (Basel)
August 2025
College of Animal Science and Technology, Gansu Agricultural University, Lanzhou 730070, China.
Body weight (BW) is a critical economic trait closely linked to livestock meat production performance and producer profitability. In the present study, we measured individual BW of 1070 male Hu sheep at six growth stages (80, 100, 120, 140, 160, and 180 days of age) and conducted descriptive statistical analyses. Results showed that the coefficient of variation (CV) for BW at each stage was higher than 13%.
View Article and Find Full Text PDFBMC Genomics
August 2025
Université Paris-Saclay, INRAE, AgroParisTech, GABI, Jouy-en-Josas, 78352, France.
Background: DNA methylation (DNAm) plays an important functional role and is influenced by genetic variants known as methylation QTLs (meQTLs). The majority of meQTL studies have been conducted in human blood. Despite its unique landscape, the genetic regulation of sperm DNAm remains largely unexplored.
View Article and Find Full Text PDFJ Vis Exp
August 2025
Department of Microbiology and Immunology, University of California, San Francisco;
Characterizing changes in gene expression through transcriptomics and transcription regulator activity has become a fundamental approach for understanding the diverse responses involved in fungal pathogenesis. This paper introduces two computational tools designed to address key challenges in the study of transcriptional regulation in fungal pathogens, particularly non-model with limited genomic annotation. First, we present WonderPeaks, a novel peak-calling algorithm that leverages the first derivative of mapped genomic data from next-generation sequencing (NGS) experiments to identify enriched peaks in Chromatin ImmunoPrecipitation followed by sequencing (ChIP-seq).
View Article and Find Full Text PDFBrief Bioinform
July 2025
Department of Mathematics & Statistics, Pomona College, 610 N. College Ave, Claremont, CA 91711, United States.
Chromatin immunoprecipitation with high-throughput sequencing (ChIP-seq) provides insights into both the genomic location occupied by the protein of interest and the difference in DNA occupancy between experimental states. Given that ChIP-seq data are collected experimentally, an important step for determining regions with differential DNA occupancy between states is between-sample normalization. While between-sample normalization is crucial for downstream differential binding analysis, the technical conditions underlying between-sample normalization methods have yet to be examined for ChIP-seq.
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