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).

• Extensive chromatin fragmentation improves enrichment of protein binding sites in chromatin immunoprecipitation experiments.

  PMID 18765474 · PMC2577354 · Nucleic acids research · 2008 · 6 claims · 6 setups

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  Extensive sonication reduces crosslinked chromatin to an average fragment size of ~200 bp (range 75–300 bp) and fragmentation is largely random with respect to genomic region and nucleosome position.

  cerevisiae hela chip-qpcr nucleosome gel

• Nucleosome regulatory dynamics in response to TGFβ.

  PMID 24771338 · PMC4066760 · Nucleic acids research · 2014 · 8 claims · 7 setups

  Has reproduction · 59

  SuMMIt, a Bayesian strand-based mixture model requiring support from both ends of sequenced fragments, enables precise nucleosome mid-position calling, fuzziness scoring and between-condition change detection.

  hepatocellular hepg2 130-bp mnase strand-specific taqman

• An MNase-ChIP-Seq Protocol to Profile Histone Modifications at a DNA Break in Yeast.

  PMID 41874159 · PMC13010634 · Methods and protocols · 2026 · 6 claims · 5 setups

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  MNase-ChIP-seq, combining MNase-based chromatin fragmentation with ChIP and NGS, is a robust protocol to map histone PTMs and their genome-wide distribution after induction of a single HO-generated DSB in yeast

  cerevisiae extracted crosslinked rt-qpcr qpcr-based mnase-chip-seq

• Acetylation of H3K115 is associated with fragile nucleosomes at CpG island promoters and active regulatory sites.

  PMID 41778583 · PMC12959880 · eLife · 2026 · 8 claims · 8 setups

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  H3K115ac is enriched at the TSS of active CpG island (CGI) promoters, far more than non-CGI promoters

  embryonic mescs synthetic mesc chip-seq atac-seq dot

• Predicting the effect of CRISPR-Cas9-based epigenome editing.

  PMID 41524535 · PMC12795505 · eLife · 2026 · 8 claims · 6 setups

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  Machine learning (CNN and ridge regression) models trained on histone PTM ChIP-seq and RNA-seq data from 13 ENCODE cell types accurately predict endogenous gene expression, with transcriptome-wide correlations of ~0.70-0.79 for most cell types

  hek293t k562 computational chip-seq rna-seq mnase-seq