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).
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Has reproduction · 90
Systematic clustering algorithm for chromatin accessibility data and its application to hematopoietic cells.
PMID 33253153 · PMC7728210 · PLoS computational biology · 2020 · 6 claims · 3 setups
Representing the genome as a binary string (1/0) of peak presence and computing Hamming distances enables hierarchical clustering of ATAC-seq samples with reduced computational cost while preserving cell-type classification.
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Has reproduction
Dissection of multiple sclerosis genetics identifies B and CD4+ T cells as driver cell subsets.
PMID 35672799 · PMC9175345 · Genome biology · 2022 · 8 claims · 6 setups
CD4 T cells and B cells independently mediate MS GWAS genetic signals through their open chromatin regions, beyond shared regulatory landscapes.
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Has reproduction · 54
Profiling chromatin accessibility responses in human neutrophils with sensitive pathogen detection.
PMID 34145026 · PMC8321655 · Life science alliance · 2021 · 6 claims · 6 setups
ATAC-seq reveals unique neutrophil chromatin accessibility changes in response to different stimuli before transcriptional activation, with most differential regions being challenge-specific in position, function, and motif.
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Has reproduction · 95
Single-cell transcriptomics and chromatin accessibility profiling elucidate the kidney-protective mechanism of mineralocorticoid receptor antagonists.
PMID 37906287 · PMC10760974 · The Journal of clinical investigation · 2024 · 8 claims · 7 setups
Mineralocorticoid (DOCA) effects are established through open chromatin and target gene expression primarily in principal and connecting tubule cells, and to a lesser extent in distal convoluted tubule (DCT2) cells.
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Has reproduction · 84
AI-assisted discovery of an ethnicity-influenced driver of cell transformation in esophageal and gastroesophageal junction adenocarcinomas.
PMID 36134663 · PMC9675486 · JCI insight · 2022 · 8 claims · 8 setups
An AI-guided Boolean network approach (BoNE) models transcriptomic continuum states of normal esophagus, BE, and EAC to derive classifier gene signatures