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).
-
Has reproduction · 71
Single-Cell Transcriptomic Landscape of Right-Sided Colon Cancer Reveals Cellular and Molecular Features of Metastatic Potential.
PMID 41898210 · PMC13024220 · Biomedicines · 2026 · 8 claims · 6 setups
RCC_LM tumors exhibit higher genomic instability (CNV score) than RCC_noM tumors
-
Full-text index only
Endothelial PDGF Signaling Dysregulation Impairs Testicular Interstitial Homeostasis in Diabetes.
PMID 41643060 · PMC13073339 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 7 setups
Testicular endothelial cells (TECs) function as a central signaling hub coordinating intercellular communication within the human testicular interstitium
-
Full-text index only
An AI-Enabled Single-Cell Transcriptomic Analysis Pipeline for Gene Signature Discovery in Natural Killer Cells Linked to Remission Outcomes in Chronic Myeloid Leukemia.
PMID 41972591 · PMC13072394 · Biology · 2026 · 8 claims · 7 setups
GAFA integrates latent-space representation, pseudotime trajectory modeling, GRN inference, and machine learning-based gene panel discovery into a single coherent pipeline, unlike existing workflows that treat these steps independently.
-
Full-text index only
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
-
Full-text index only
Single-Cell and Spatial Omics: Methods and Applications.
PMID 41953641 · PMC13053676 · MedComm · 2026 · 8 claims · 8 setups
Single-cell and spatial omics enable high-resolution molecular profiling that overcomes key limitations of bulk sequencing, revealing cellular heterogeneity and spatial organization central to development, homeostasis, and disease.