ArticleNature methods2026
Spatial 5mC-seq profiling of embryos and decidua after implantation in mammals.
Article in Nature methods, 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.
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Who cites it
1 citing paper in PubMed.
- A systematic benchmarking framework and dual-view optimization strategy for single-cell DNA methylation imputation.Briefings in bioinformatics · 2026Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DNA methylation is vital for development and diseases, yet no spatial DNA methylation profiling technology has been reported. Here we developed spatial 5mC-seq (SmC-seq), a microfluidic-based method providing unbiased genome-wide methylome at near single-cell resolution. Applying SmC-seq to mouse post-implantation development revealed a clear spatial heterogenous pattern of DNA methylation in inner cell mass-derived tissues. We identified a two-layer organization in the E8.5 ectoplacental cone with distinct methylation and proliferation states. Unexpectedly, a portion of maternal tissue with low DNA methylation level, enriched for nutrient-supplier progenitors, is observed in the middle region of decidua post-implantation. The hypomethylated regions in the nutrient-supplier progenitor cluster are associated with cell proliferation. Notably, the genes associated with hypomethylated regions in mature nutrient-supplier cluster are enriched in exocytosis and nutrient synthesis, linked to nutrient provision for embryogenesis before placental function. In summary, SmC-seq enables spatial DNA methylation mapping, advancing our understanding of biological events.
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Registered trials
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