ArticleNature genetics2014
Analysis of hundreds of cis-regulatory landscapes at high resolution in a single, high-throughput experiment.
Article in Nature genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 297 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
297 citing papers in PubMed, 510 citations in OpenAlex.
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- Engineering the Link: From Genome Interaction Maps to Functional Insight.Advanced biology · 2025Review
- Chromatin insulators in gene regulation and 3D genome organization.Biochemical Society transactions · 2025Review
- Evidence for enhancer activity in intron 1 of TNFRSF1A using CRISPR/Cas9 in human induced pluripotent stem cell-derived macrophages.Scientific reports · 2025Article
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- YAP1 and QSER1 are Key Modulators of Embryonic Signaling Pathways in the Mammalian Epiblast.bioRxiv : the preprint server for biology · 2025Article
- An integrative 3D-genome database for plants.Plant communications · 2025Article
- Predicting gene expression changes from chromatin structure modification.NPJ systems biology and applications · 2025Article
- Integrative analysis of the 3D genome and epigenome in mouse embryonic tissues.Nature structural & molecular biology · 2025Article
- A guide to studying 3D genome structure and dynamics in the kidney.Nature reviews. Nephrology · 2025Review
- The α-globin super-enhancer acts in an orientation-dependent manner.Nature communications · 2025Article
- CWL-Based Analysis Pipeline for Hi-C Data: From FASTQ Files to Matrices.Methods in molecular biology (Clifton, N.J.) · 2025Article
- Machine and Deep Learning Methods for Predicting 3D Genome Organization.Methods in molecular biology (Clifton, N.J.) · 2025Review
- Article
237 more citing papers are in PubMed but not listed here.
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Authors and funding
10 authors at 3 institutions in 1 country.
Funding
Abstract
Gene expression during development and differentiation is regulated in a cell- and stage-specific manner by complex networks of intergenic and intragenic cis-regulatory elements whose numbers and representation in the genome far exceed those of structural genes. Using chromosome conformation capture, it is now possible to analyze in detail the interaction between enhancers, silencers, boundary elements and promoters at individual loci, but these techniques are not readily scalable. Here we present a high-throughput approach (Capture-C) to analyze cis interactions, interrogating hundreds of specific interactions at high resolution in a single experiment. We show how this approach will facilitate detailed, genome-wide analysis to elucidate the general principles by which cis-acting sequences control gene expression. In addition, we show how Capture-C will expedite identification of the target genes and functional effects of SNPs that are associated with complex diseases, which most frequently lie in intergenic cis-acting regulatory elements.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.