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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Mutation analysis of the AATF gene in breast cancer families.
PMID 20025740 · PMC2806411 · BMC cancer · 2009 · 6 claims · 6 setups
No AATF sequence alteration identified was predicted to be pathogenic or showed significant association with breast cancer risk
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Rapid detection, cloning and molecular cytogenetic characterisation of sequences from an MRP-encoding amplicon by chromosome microdissection.
PMID 8018546 · PMC2033297 · British journal of cancer · 1994 · 7 claims · 6 setups
Chromosome microdissection can be used to rapidly detect, clone and cytogenetically characterise amplified sequences from hsrs/dmins in drug-resistant cells
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Mutation analysis of the ATR gene in breast and ovarian cancer families.
PMID 15987455 · PMC1175065 · Breast cancer research : BCR · 2005 · 8 claims · 5 setups
ATR mediates the DNA damage response by phosphorylating tumor suppressors such as p53, BRCA1 and CHK1, making it a plausible candidate breast/ovarian cancer susceptibility gene
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Evaluation of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 genes in familial colorectal cancer predisposition.
PMID 17029639 · PMC1624846 · BMC cancer · 2006 · 6 claims · 4 setups
Coding sequences and intron-exon boundaries of NTHL1, NEIL1, NEIL2, MPG, TDG, UNG and SMUG1 were screened in 94 familial CRC cases with known genes excluded
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Has reproduction · 81
Enabling Single-Cell Drug Response Annotations from Bulk RNA-Seq Using SCAD.
PMID 36762572 · PMC10104628 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023 · 7 claims · 7 setups
SCAD, a transfer learning framework integrating adversarial discriminative domain adaptation (ADDA), can infer single-cell drug sensitivities by transferring knowledge from bulk RNA-seq pharmacogenomic data (GDSC) to scRNA-seq target domains
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Genomic profiling of microRNA and messenger RNA reveals deregulated microRNA expression in prostate cancer.
PMID 18676839 · PMC2597340 · Cancer research · 2008 · 8 claims · 7 setups
MicroRNA processing components (Dicer, DGCR8) and microRNA host genes (MCM7, C9orf5) are significantly up-regulated in prostate tumors versus non-tumor tissue
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Has reproduction · 50
Exploiting convergent phenotypes to derive a pan-cancer cisplatin response gene expression signature.
PMID 37076665 · PMC10115855 · NPJ precision oncology · 2023 · 8 claims · 8 setups
A convergent-phenotype-based seed gene/co-expression method can extract consensus gene expression signatures predictive of response to chemotherapeutic drugs in the GDSC database
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Has reproduction · 53
Molecular Biomarker of Drug Resistance Developed From Patient-Derived Organoids Predicts Survival of Colorectal Cancer Patients.
PMID 35425715 · PMC9004628 · Frontiers in oncology · 2022 · 8 claims · 7 setups
Patient-derived colorectal cancer organoids (CRCOs) can be established from surgical CRC tissue with an 82% success rate (41/50)
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Has reproduction · 48
Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.
PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups
Breast cancer samples can be divided into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on expression of m6A-related genes, with consistent proportions across datasets
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Has reproduction
DAGFormer: A graph-based domain adaptation approach for single-cell cancer drug response prediction.
PMID 41417875 · PMC12795466 · PLoS computational biology · 2025 · 7 claims · 4 setups
DAGFormer, a graph-based domain adaptation framework integrating bulk and scRNA-seq data, predicts single-cell drug responses more accurately than existing methods.
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Genetic and epigenetic analyses of MBD3 in colon and lung cancer.
PMID 15138480 · PMC2410281 · British journal of cancer · 2004 · 7 claims · 5 setups
MBD3 is not a major target of genetic or epigenetic alteration in colon and lung cancer
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93rd Annual Meeting of the American Association for Cancer Research, San Francisco, CA, USA, 6-10 April 2002.
PMID 12100742 · PMC138737 · Breast cancer research : BCR · 2002 · 8 claims · 8 setups
Serial analysis of gene expression identifies genes preferentially expressed in ductal carcinoma in situ
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Has reproduction · 70
Extensive androgen receptor enhancer heterogeneity in primary prostate cancers underlies transcriptional diversity and metastatic potential.
PMID 36450752 · PMC9712620 · Nature communications · 2022 · 8 claims · 8 setups
AR enhancer/chromatin binding usage is highly heterogeneous between primary prostate tumors, with <5% of all AR binding sites shared by half of tumors analyzed.
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Probing the cancer genome.
PMID 18492227 · PMC2441462 · Genome biology · 2008 · 8 claims · 8 setups
Combined Sanger and 454 pyrosequencing of MCF-7 BAC clones identified 157 PCR-confirmed translocation breakpoint junctions, including 10 in-frame junctions confirmed at the transcript level
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Has reproduction · 62
scATD: a high-throughput and interpretable framework for single-cell cancer drug resistance prediction and biomarker identification.
PMID 40501071 · PMC12159290 · Briefings in bioinformatics · 2025 · 8 claims · 6 setups
scATD enables high-throughput single-cell drug sensitivity prediction for new patients without model parameter retraining via bidirectional Bi-AdaIN style transfer
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Has reproduction · 88
Enterotoxins A and B produced by Staphylococcus aureus increase cell proliferation, invasion and cytarabine resistance in acute myeloid leukemia cell lines.
PMID 37810000 · PMC10559070 · Heliyon · 2023 · 7 claims · 7 setups
SEA and SEB treatment increases proliferation of AML cell lines.
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Has reproduction · 73
Vespucci: a system for building annotated databases of nascent transcripts.
PMID 24304890 · PMC3936758 · Nucleic acids research · 2014 · 8 claims · 7 setups
Existing ChIP-seq and RNA-seq analysis platforms (e.g. Cufflinks, peak callers) are unsuited to GRO-seq because they assume spliced/exonic reads, uniform density and paired-end data, and cannot identify transcriptional units de novo across the whole genome.