ReviewNature protocols2026
GPSeq maps the radial organization of eukaryotic genomes along the nuclear periphery-center axis.
Review in Nature protocols, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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
1 citing paper in PubMed.
- Chromatin-associated intronic RNAs from long genes form introsomes that shape nuclear architecture in neuronal cells.bioRxiv : the preprint server for biology · 2026Article
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Authors and funding
11 authors.
Funding
Abstract
Genomic loci positioning by sequencing (GPSeq) is a genome-wide method for mapping the radial organization of the genome in the nucleus of eukaryotic cells. GPSeq relies on in situ digestion of chromatin with a restriction enzyme that gradually diffuses inward from the nuclear periphery, followed by ligation of sequencing adapters to the digested restriction enzyme sites and library preparation for high-throughput sequencing. In parallel, ligation of labeled imaging adapters to the digested restriction enzyme recognition sites enables monitoring of the progression of radial digestion by fluorescence microscopy, providing an essential internal quality control before proceeding with sequencing. By comparing samples in which chromatin has been digested for increasing time intervals, a GPSeq score is calculated for every genomic bin into which the genome is arbitrarily divided, and genome-wide radial maps are generated with a resolution as high as 25 kb. These maps allow exploration of the radial distribution of (epi)genomic features, gene expression levels, mutational landscapes, and genomic profiles of DNA damage, when integrated with other omic data. Here, we present a detailed step-by-step protocol for performing GPSeq and preprocessing GPSeq data. The entire protocol requires ~2 weeks from the start of sample preparation to having ready-to-sequence libraries and intermediate levels of expertise in molecular biology, genomics and microscopy.
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Registered trials
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