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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Deep single-cell decoding of human pancreatic islets reveals T2D β-cell gene expression defects.
PMID 41986506 · PMC13226668 · The EMBO journal · 2026 · 8 claims · 6 setups
Single-cell transcriptome profiling of 245,878 islet cells from 48 donors (ND/PD/T2D) identifies 14 distinct, robust islet cell types detected in every donor
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Protocol to perform cell-type-specific transcriptome-wide association study using scPrediXcan framework.
PMID 41689808 · PMC12925207 · STAR protocols · 2026 · 6 claims · 6 setups
scPrediXcan enables cell-type-specific transcriptome-wide association studies (TWAS) by integrating deep learning-based prediction of gene expression from DNA sequence and epigenetic features.
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Tet2 modulates ER stress responses related to β-cell death and autoimmunity in diabetes.
PMID 41782826 · PMC12955150 · iScience · 2026 · 8 claims · 6 setups
Tet2-deficient NOD mice transplanted with WT bone marrow show fewer islet-infiltrating lymphocytes beginning 8–10 weeks post-transplant, primarily among CD4+ T cells
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CSsingle: a unified tool for robust decomposition of bulk and spatial transcriptomic data across diverse single-cell references.
PMID 42080261 · PMC13136905 · Nucleic acids research · 2026 · 8 claims · 8 setups
CSsingle explicitly corrects for cell-type-specific RNA content (cell size) differences using ERCC spike-ins or a novel computational estimator
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TBL1X/TBL1XR1 govern β-cell identity through a PAX6-containing gene regulatory network.
PMID 42020373 · PMC13102947 · Nature communications · 2026 · 8 claims · 8 setups
TBL/R1 are crucial regulators of β-cell identity and determinants of diabetes development and progression