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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Identification of proteins differentially expressed in the conventional renal cell carcinoma by proteomic analysis.
PMID 15953868 · PMC2782202 · Journal of Korean medical science · 2005 · 6 claims · 4 setups
Eight proteins from 11 differentially expressed spots were identified in conventional RCC versus normal kidney tissue by 2D-PAGE and MALDI-TOF-MS
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sCellST predicts single-cell gene expression from H& E images.
PMID 41513659 · PMC12858858 · Nature communications · 2026 · 7 claims · 6 setups
sCellST is a weakly supervised (Multiple Instance Learning) deep learning framework that predicts single-cell gene expression from H&E images alone, trained using paired spatial transcriptomics (Visium) and H&E slides
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Microproteomics: analysis of protein diversity in small samples.
PMID 18271009 · PMC2743962 · Mass spectrometry reviews · 2008 · 8 claims · 8 setups
Changes in gene/mRNA expression often do not correlate well with changes in protein expression, due to precursor cleavage, post-translational modification, localization, and variable protein lifetimes.