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 · 80
TP53 engagement with the genome occurs in distinct local chromatin environments via pioneer factor activity.
PMID 25391375 · PMC4315292 · Genome research · 2015 · 8 claims · 8 setups
TP53 binding events fall into three distinct categories defined by the local chromatin environment: TSS (H3K4me3+), enhancer (H3K4me1+/H3K4me3-), and distal (H3K4me1-/H3K4me3-) peaks.
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Has reproduction · 73
A gene signature related to programmed cell death to predict immunotherapy response and prognosis in colon adenocarcinoma.
PMID 39950044 · PMC11823652 · PeerJ · 2025 · 8 claims · 8 setups
COAD patients can be divided into two molecular subtypes (S1, S2) based on 21 prognostic PCD-related genes, with S1 showing worse prognosis and immunosuppressive microenvironment, S2 showing better prognosis and stronger anti-tumor immunity
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Full-text index only
11q13 amplification status and human papillomavirus in relation to p16 expression defines two distinct etiologies of head and neck tumours.
PMID 17003776 · PMC2360598 · British journal of cancer · 2006 · 8 claims · 7 setups
HPV-positive HNSCC tumours are significantly less likely to carry 11q13 amplification than HPV-negative tumours
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Has reproduction · 73
Comprehensive analysis of mitophagy in HPV-related head and neck squamous cell carcinoma.
PMID 37161060 · PMC10170109 · Scientific reports · 2023 · 8 claims · 8 setups
In HPV-associated HNSCC, the mitophagy process affects tumour development, immune cell infiltration and prognosis.
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Full-text index only
Cancer-specific high-throughput annotation of somatic mutations: computational prediction of driver missense mutations.
PMID 19654296 · PMC2763410 · Cancer research · 2009 · 7 claims · 7 setups
CHASM, a Random Forest-based computational method, was developed to identify and prioritize missense mutations likely to be functional drivers of tumor cell proliferation.