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 · 79
Epigenetic loss of heterogeneity from low to high grade localized prostate tumours.
PMID 34911933 · PMC8674326 · Nature communications · 2021 · 7 claims · 4 setups
Shared chromatin accessibility features among low-grade (Gleason pattern 3) prostate cancer cells are lost in high-grade (Gleason pattern 4) tumours.
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The use of whole genome amplification to study chromosomal changes in prostate cancer: insights into genome-wide signature of preneoplasia associated with cancer progression.
PMID 16573809 · PMC1450280 · BMC genomics · 2006 · 7 claims · 8 setups
MDA-amplified DNA does not introduce major distortion of copy number imbalance assignments compared to unamplified DNA in control CGH experiments.
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A DNA microarray survey of gene expression in normal human tissues.
PMID 15774023 · PMC1088941 · Genome biology · 2005 · 6 claims · 6 setups
Unsupervised hierarchical clustering of gene expression groups normal tissue samples largely according to anatomic location, cellular composition, or physiologic function.
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A critical reassessment of the role of mitochondria in tumorigenesis.
PMID 16187796 · PMC1240051 · PLoS medicine · 2005 · 8 claims · 8 setups
A significant number of published medical mtDNA cancer studies are based on obviously flawed sequencing results.
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Expression analysis of secreted and cell surface genes of five transformed human cell lines and derivative xenograft tumors.
PMID 15836779 · PMC1112590 · BMC genomics · 2005 · 8 claims · 3 setups
A custom 60-mer oligonucleotide microarray covering 3531 secreted and cell surface genes was designed to profile 5 transformed human cell lines and their derivative xenograft tumors.
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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.