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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Single-cell and spatial transcriptomics analyses reveal tumor microenvironment-driven proliferation of NF2-associated vestibular schwannomas.
PMID 41957607 · PMC13200446 · Journal of neuroinflammation · 2026 · 8 claims · 7 setups
NF2-VS tumors comprise 12 major cell lineages with distinct TME composition between Gardner and Wishart phenotypes
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MYC-induced USP10 stabilizes SOX4 to promote thymocyte proliferation and leukemia onset in mice.
PMID 41927540 · PMC13216311 · Nature communications · 2026 · 8 claims · 8 setups
USP10 is dynamically expressed in thymocytes, peaking during proliferative stages of T cell development in both mouse and human
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scDEBGCL: a deep embedding approach based on bipartite graph contrastive learning for single-cell RNA-seq data.
PMID 41981652 · PMC13188691 · BMC biology · 2026 · 7 claims · 3 setups
scDEBGCL is a deep embedding method for scRNA-seq data based on bipartite graph contrastive learning, integrating contrastive learning, graph reconstruction, and ZINB-based data reconstruction losses.
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Pan-Cancer Single-Cell RNA Sequencing Analysis Refines Multi-Origin Monocyte and Macrophage Lineages.
PMID 41231218 · PMC12865363 · Cancer immunology research · 2026 · 6 claims · 8 setups
TAMs arise from two distinct origins: C1QC+ TAMs likely derive from resident tissue macrophages, while SPP1+ TAMs and ISG15+ TAMs likely originate from circulating monocytes.
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Has reproduction · 50
Distinct senotypes in p16- and p21-positive cells across human and mouse aging tissues.
PMID 41162753 · PMC12669595 · The EMBO journal · 2025 · 7 claims · 8 setups
p16+ and p21+ senescent cells represent largely distinct, non-overlapping populations across murine and human aging tissues
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Has reproduction · 70
Bulk and single-cell characterisation of the immune heterogeneity of atherosclerosis identifies novel targets for immunotherapy.
PMID 36855107 · PMC9974063 · BMC biology · 2023 · 8 claims · 8 setups
Integration of scRNA-seq datasets from human atherosclerosis samples identifies 28 distinct immune cell subpopulations with heterogeneity in tissue preference, genetics, function, immune dynamics, transcriptional regulators, metabolism, and cell communication.
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A sequence knowledge-guided deep learning method for single-cell multi-omics translation.
PMID 41975483 · PMC13185235 · Genome biology · 2026 · 7 claims · 7 setups
scProTrans, a deep learning framework combining sequence knowledge (dna2vec gene embeddings, ProtT5 protein embeddings) with a cross-omics attention mechanism, translates single-cell transcriptome data into proteome profiles
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S3RL: Enhancing Spatial Single-Cell Transcriptomics With Separable Representation Learning.
PMID 41556263 · PMC13042551 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
S3RL is a separable representation learning framework that denoises sparse spatial transcriptomic data and enhances biologically relevant signals by integrating gene expression, spatial coordinates, and histological image features.
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Single-Cell Multi-Tissue T Cell Clonal Dynamics Reveal Distinct Immune Coercion Landscapes in MSI and MSS Colorectal Cancer.
PMID 41898550 · PMC13027115 · International journal of molecular sciences · 2026 · 8 claims · 5 setups
Immunotherapy response in CRC is better explained by TCR clonal dynamics (expansion, migration, functional transitions) than by MSI status alone
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Development and validation of a gemcitabine sensitivity-related long noncoding RNA signature for predicting the prognosis and subtypes of bladder cancer.
PMID 41809777 · PMC12968932 · Translational andrology and urology · 2026 · 8 claims · 8 setups
A 37-GSRlncRNA prognostic signature stratifies BLCA patients into low- and high-risk groups with significant differences in survival, pathway enrichment, immune infiltration, and mutational profiles