Experiments

Searchable full-text extractions: founding hypothesis, core claims, experimental setups, key results and statistics — pulled out of each paper as structure. Search a cell line, an assay or an entity (e.g. HUH7) and find every paper that worked with it. This corpus stands on its own: most entries carry no reproduction assessment (yet).

• Improved RNA-DNA interaction calling suggests RNA-based gene regulation of phenotypic transitions.

  PMID 42258536 · PMC13244158 · Nucleic acids research · 2026 · 7 claims · 8 setups

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  RADIAnT is a reads-to-interactions computational pipeline for analyzing RNA–DNA ligation data

  embryonic k562 mesc endothelial grid-seq radicl-seq red-c

• DNA Methylation Directs Polycomb-Dependent 3D Genome Re-organization in Naive Pluripotency.

  PMID 31722211 · PMC6856714 · Cell reports · 2019 · 7 claims · 6 setups

  Has reproduction · 50

  The altered 3D genome of 2i-cultured ESCs (chromatin decompaction and loss of polycomb interactions at polycomb targets) is due to redistribution of polycomb away from its targets.

  ring1b− e3.5 e14 3b3l fluorescence fish situ

• Modeling nascent transcription from chromatin landscape and structure with CLASTER.

  PMID 41691282 · PMC13011747 · Genome biology · 2026 · 7 claims · 8 setups

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  CLASTER, a deep neural network combining chromatin landscape tracks and 3D contact maps, accurately predicts kilobasepair-resolution nascent RNA (EU-seq) profiles in a DNA-sequence-agnostic manner

  embryonic mescs chromatin k562 eu-seq chip-seq micro-c

• Boosting the detection of enhancer-promoter loops via normalization methods for chromatin interaction data.

  PMID 41633996 · PMC12976324 · Nature communications · 2026 · 8 claims · 8 setups

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  ICE and KR matrix balancing normalization methods over-correct and attenuate low-frequency enhancer-promoter loop signals despite preserving structural (CTCF-mediated) loops

  gm12878 embryonic mescs hi-c chip-seq chia-pet

• Deep learning linking mechanistic models to single-cell transcriptomics data reveals transcriptional bursting in response to DNA damage.

  PMID 41779826 · PMC12959883 · eLife · 2026 · 8 claims · 5 setups

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  DeepTX is an interpretable, scalable deep learning inference framework that links mechanistic transcription models to scRNA-seq data to infer genome-wide transcriptional burst kinetics

  synthetic embryonic colorectal computational stochastic scrna-seq deep