ArticleGigaScience2026
Single-nucleus multiple-organ chromatin accessibility landscape in the adult rat.
Article in GigaScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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.
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Who cites it
2 citing papers in PubMed.
- Reference Regulatory Element-Guided Gene Expression Analysis for Mechanistic Inference of Gene Regulatory Networks.bioRxiv : the preprint server for biology · 2026Article
- Article
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Authors and funding
8 authors.
Funding
Abstract
backgroundChromatin accessibility landscape is the basis of cell-specific gene expression and reflects the regulatory logic underlying cellular identity and function. However, a systematic multi-organ chromatin accessibility atlas in the rat (Rattus norvegicus), an important biomedical model organism, has been lacking.
resultsWe generated a multi-organ single-nucleus chromatin accessibility landscape of Rattus norvegicus using snATAC-seq. For this single-cell atlas, we constructed 25 libraries via snATAC-seq from 9 organs in the adult rat, with a total of over 110,000 cells. Cell classification integrating gene activity scores with known marker genes identified 77 cell types, which were strongly correlated with those in published mouse single-cell transcriptome atlases. We further investigated the enrichment of cell-type- and organ-specific transcription factors, shared and organ-specific features of endothelial and stromal cells, as well as cross-organ macrophage regulatory states, and the conservation and specificity of gene regulatory programs across species.
conclusionThis single-nucleus chromatin accessibility landscape provides a valuable foundation for dissecting tissue-specific regulatory mechanisms in the rat and facilitates cross-organ and cross-species cell type annotation and functional inference, supporting broader applications of rat model in systems biology and biomedical research.
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