ArticleGenome research2017
A genome-wide interactome of DNA-associated proteins in the human liver.
Article in Genome research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
7 citing papers in PubMed.
- Genetic effects on chromatin accessibility uncover mechanisms of liver gene regulation and quantitative traits.Genome research · 2025Article
- Multi-omics analysis reveals distinct gene regulatory mechanisms between primary and organoid-derived human hepatocytes.Disease models & mechanisms · 2025Article
- Article
- Genetic effects on liver chromatin accessibility identify disease regulatory variants.American journal of human genetics · 2021Article
- Dissecting the regulatory activity and sequence content of loci with exceptional numbers of transcription factor associations.Genome research · 2020Article
- A Comparison between Hi-C and 10X Genomics Linked Read Sequencing for Whole Genome Phasing in Hanwoo Cattle.Genes · 2020Article
- Resolving the full spectrum of human genome variation using Linked-Reads.Genome research · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Large-scale efforts like the ENCODE Project have made tremendous progress in cataloging the genomic binding patterns of DNA-associated proteins (DAPs), such as transcription factors (TFs). However, most chromatin immunoprecipitation-sequencing (ChIP-seq) analyses have focused on a few immortalized cell lines whose activities and physiology differ in important ways from endogenous cells and tissues. Consequently, binding data from primary human tissue are essential to improving our understanding of in vivo gene regulation. Here, we identify and analyze more than 440,000 binding sites using ChIP-seq data for 20 DAPs in two human liver tissue samples. We integrated binding data with transcriptome and phased WGS data to investigate allelic DAP interactions and the impact of heterozygous sequence variation on the expression of neighboring genes. Our tissue-based data set exhibits binding patterns more consistent with liver biology than cell lines, and we describe uses of these data to better prioritize impactful noncoding variation. Collectively, our rich data set offers novel insights into genome function in human liver tissue and provides a valuable resource for assessing disease-related disruptions.
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Registered trials
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