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).

• DMN-seq enriches DNA hypomethylated regions for biomarker discovery using 5-methylcytosine glycosylase.

  PMID 41673887 · PMC13097799 · Genome biology · 2026 · 8 claims · 9 setups

  Has reproduction · 80

  DMN-seq (DMN+) uses DME to nick DNA specifically at 5mC sites, enabling 5mC detection at single-base resolution via selective adaptor ligation

  synthetic partially embryonic mesc glycosylase dmn-seq ultrafast

• Identification of novel DNA sequence motifs that modulate transcription in T cells.

  PMID 41514212 · PMC12879379 · BMC genomics · 2026 · 8 claims · 8 setups

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  Identified 2,036 novel DNA motifs enriched in regulatory regions of T-cell-specific genes

  t-cell non-t-cell cd4+ sequences rna-seq dnase-seq h3k27ac

• Looping specificity of Polycomb response elements requires GAF and a combination of looping factors that could form a code.

  PMID 42206359 · PMC13216745 · Nucleic acids research · 2026 · 8 claims · 8 setups

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  High GAF occupancy is required for chromatin looping and gene regulation at PREs

  drosophila third gaf dac_tss cut&run micro-c hi-c

• Transcriptional regulation and chromatin architecture maintenance are decoupled functions at the Sox2 locus.

  PMID 35710138 · PMC9296009 · Genes & development · 2022 · 8 claims · 7 setups

  Has reproduction · 81

  Sox2 transcriptional activation is traced almost entirely to two key transcription factor-bound regions (SRR107 and SRR111) within the SCR

  escs esc sequence compiled allele-specific chip-seq motif

• EpiXFormer: a cross-attention neural network for predicting cell type-specific transcription factor binding sites.

  PMID 41527854 · PMC12796812 · Briefings in bioinformatics · 2026 · 8 claims · 8 setups

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  EpiXFormer achieves high accuracy (mean AUROC ~0.99) predicting binding sites of both TFs and non-sequence-specific DBPs across 199 DBP-cell type pairs

  dbps tfs common ctcf deep comparative feature-ablation