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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PCR-free method detects high frequency of genomic instability in prostate cancer.
PMID 19797393 · PMC2794161 · Nucleic acids research · 2009 · 7 claims · 6 setups
A novel PCR-free random cloning/sequencing method can detect genomic variants that PCR-based approaches miss in heterogeneous tumor genomes.
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Fingerprinting cancer development.
PMID 14694892 · PMC1241638 · Environmental health perspectives · 2003 · 8 claims · 6 setups
Protein microarrays can detect phosphoprotein fingerprints that identify early-stage cancer or monitor drug toxicity.
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PALB2 variants in hereditary and unselected Finnish prostate cancer cases.
PMID 20003494 · PMC2806404 · Journal of negative results in biomedicine · 2009 · 8 claims · 6 setups
None of the detected PALB2 variants, including 1592delT, show significant association with PRCA at the population level in Finland
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Mutation analysis of the MSMB gene in familial prostate cancer.
PMID 19997100 · PMC2816656 · British journal of cancer · 2010 · 8 claims · 5 setups
No deleterious mutations were found in the MSMB coding region in 192 familial prostate cancer cases
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Rare germline mutations in the BRCA2 gene are associated with early-onset prostate cancer.
PMID 17700570 · PMC2360390 · British journal of cancer · 2007 · 8 claims · 3 setups
Germline protein-truncating BRCA2 mutations confer an elevated relative risk (~7.8-fold) of early-onset prostate cancer in Caucasian men
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CHEK2 variants associate with hereditary prostate cancer.
PMID 14612911 · PMC2394451 · British journal of cancer · 2003 · 8 claims · 6 setups
CHEK2 1100delC frameshift mutation is significantly more frequent in Finnish HPC patients than in population controls
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A big circuit model.
PMID 12940284 · PMC1316925 · Environmental health perspectives · 2003 · 8 claims · 8 setups
In early prostate carcinogenesis, apoptosis signals are primarily suppressed rather than growth rate being increased.
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Infrequent involvement of p53 gene mutations in the tumourigenesis of Japanese prostate cancer.
PMID 7691145 · PMC1968625 · British journal of cancer · 1993 · 6 claims · 3 setups
p53 gene mutations are infrequent in the tumorigenesis of primary Japanese prostate cancer
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The pseudo-mitochondrial genome influences mistakes in heteroplasmy interpretation.
PMID 16859552 · PMC1538596 · BMC genomics · 2006 · 7 claims · 7 setups
Numts co-amplified with mtDNA during PCR generate false heteroplasmic signals at specific nucleotide positions.
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Future possibilities in the prevention of breast cancer: intervention strategies in BRCA1 and BRCA2 mutation carriers.
PMID 11250722 · PMC138789 · Breast cancer research : BCR · 2000 · 8 claims · 8 setups
BRCA1 and BRCA2 mutations confer an 80-85% lifetime risk (by age 80) of female breast cancer
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Systems biology in human health and disease.
PMID 17893698 · PMC2013921 · Molecular systems biology · 2007 · 8 claims · 5 setups
High-throughput quantitative proteomics of signaling networks (e.g., HER2 overexpression) can be correlated with biological responses like proliferation and migration to better understand pathways deregulated in cancer.
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Has reproduction · 42
CanCellCap: robust cancer cell capture across tissue types on single-cell RNA-seq data by multi-domain learning.
PMID 40739511 · PMC12312500 · BMC biology · 2025 · 8 claims · 7 setups
CanCellCap identifies cancer cells in scRNA-seq data across 13 tissue types, 23 cancer types, and 7 sequencing platforms with 0.977 average accuracy
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Has reproduction · 67
Optimal scaling of digital transcriptomes.
PMID 24223126 · PMC3819321 · PloS one · 2013 · 8 claims · 8 setups
Fifteen existing and novel transcript-count normalization algorithms can be compared with two novel, mutually independent metrics: the number of "uniform" genes (sufficiently low coefficient of variation after normalization) and low average Spearman correlation between normalized expression profiles of gene pairs.