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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Loss of long-range co-expression is a common feature in cancer.
PMID 41935098 · PMC13247121 · NPJ systems biology and applications · 2026 · 8 claims · 7 setups
In cancer, the strongest co-expressed gene pairs (top MI values) are predominantly intra-chromosomal, unlike in normal tissue.
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Deciphering immune and cellular reprogramming during the progression from inflammatory bowel disease to colorectal cancer using multi-omics single-cell and spatial transcriptomics.
PMID 42001187 · PMC13122952 · Journal of translational medicine · 2026 · 8 claims · 5 setups
CEACAM5 is consistently upregulated across Crohn's disease and ulcerative colitis samples and links epithelial activation in IBD to tumorigenic processes in CRC
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Transcriptional landscape of repetitive elements in normal and cancer human cells.
PMID 25012247 · PMC4122776 · BMC genomics · 2014 · 8 claims · 8 setups
RepEnrich, a computational method that uses all mapping reads (uniquely mapping plus multi-mapping reads assigned to repetitive element subfamily assemblies/pseudogenomes), quantifies genome-wide repetitive element enrichment
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TF2TG: an online resource mining the potential gene targets of transcription factors in Drosophila.
PMID 40314147 · PMC12774851 · Genetics · 2026 · 8 claims · 8 setups
TF2TG is an online resource integrating motif scan data, ChIP-seq peaks (modENCODE/modERN), Hi-C (TADs), REDfly-curated CRMs, ATAC-seq, protein-protein interaction data, and tissue-specific expression to predict TF-target gene relationships in Drosophila
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Epigenetic and Transcriptional Programs Define Osteosarcoma Subtypes and Establish Targetable Vulnerabilities.
PMID 41037662 · PMC12877751 · Cancer discovery · 2026 · 8 claims · 7 setups
ATAC-seq profiling of osteosarcoma patient samples, PDXs, and PDX-CLs reveals two distinct chromatin accessibility subtypes: early osteoblast-derived (EOD) and late osteoblast-derived (LOD)
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Deep-Learning Tool ScVital Enables Species-Agnostic Integration of Cancer Cell States.
PMID 41223329 · PMC13053053 · Cancer research · 2026 · 7 claims · 7 setups
scVital is a variational autoencoder with an adversarially trained discriminator that embeds scRNA-seq data from different species into a species-agnostic latent space to overcome batch effect.
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Single-Cell Lineage Tracing Uncovers Resistance Signatures and Sensitizing Strategies to FLT3 Inhibitors in Acute Myeloid Leukemia.
PMID 41270153 · PMC7618455 · Cancer research · 2026 · 8 claims · 8 setups
ReSisTrace single-cell lineage tracing identifies pre-resistant and pre-sensitive cell states to FLT3 inhibitors midostaurin and quizartinib in FLT3-ITD-positive MOLM-13 AML cells before treatment
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Advancing Prognosis Prediction and Immunotherapy Efficacy in Lung Adenocarcinoma Through Machine Learning: Novel Insights From Anoikis Regulator Patterns in Single-Cell Multiomics.
PMID 41488744 · PMC12764181 · International journal of genomics · 2026 · 8 claims · 8 setups
Epithelial and endothelial cells show the highest anoikis-enriched scores among LUAD TME cell types, with AT2-like Epi being the most anoikis-related epithelial subpopulation.
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A Double-Negative Prostate Cancer Subtype Is Vulnerable to SWI/SNF-Targeting Degrader Molecules.
PMID 41534092 · PMC13044530 · Cancer research · 2026 · 8 claims · 8 setups
SWI/SNF-targeting PROTAC treatment reduces viability of CRPC-WNT (AR-negative) cell lines and organoids, not just AR-dependent CRPC
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Multimodal antigenic escape to GPRC5D-targeted T cell engagers in multiple myeloma.
PMID 41540108 · PMC13004696 · Nature medicine · 2026 · 7 claims · 7 setups
GPRC5D antigenic drift/mutational events occurred in 68.4% of relapsed cases following anti-GPRC5D TCE therapy (13/19 evaluable patients)
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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 nuclei and spatial profiling of sacrococcygeal teratomas reveals cellular composition and X inactivation heterogeneity.
PMID 41565739 · PMC12949016 · NPJ precision oncology · 2026 · 7 claims · 4 setups
snRNA-seq and spatial transcriptomics of eight SCTs identify five broad cell lineages (neuroectoderm, epithelia, stroma, endothelia, immune) resolved into 26 transcriptionally distinct subtypes
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Exploring phenotype-related single-cells through attention-enhanced representation learning.
PMID 41566378 · PMC12906058 · Genome medicine · 2026 · 6 claims · 5 setups
scPhase, an attention-based multiple instance learning (AMIL) framework with Mixture-of-Experts aggregation, predicts sample-level clinical phenotypes from raw scRNA-seq data and generalizes across patient cohorts
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The Ly6g(high) Neutrophil Subset Dictates Breast Cancer Lung Metastasis via CD8(+) T Cell Death.
PMID 41625479 · PMC12857760 · Cancer communications (London, England) · 2026 · 8 claims · 8 setups
Neutrophils in the lung metastatic niche comprise two functionally distinct subsets, Ly6g^high and Ly6g^low, based on Ly6g expression level
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A multi-omics features-based approach integrating immunogenicity and inflammation enhances immunotherapy benefit in clear cell renal cell carcinoma.
PMID 41640425 · PMC12864441 · Frontiers in cell and developmental biology · 2025 · 7 claims · 8 setups
The TIs-ML multi-omics model predicts ICB response/survival in ccRCC with superior accuracy (AUC > 0.997) compared to single biomarkers like PD-L1 and TMB
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CeLLTra: aligning cell names with gene expression via a pathway-informed transformer.
PMID 41652996 · PMC12881829 · Bioinformatics (Oxford, England) · 2026 · 8 claims · 4 setups
Grouping genes into pathway-defined gene sets as Transformer input tokens (instead of using individual genes or discretized bins) mitigates the long-sequence problem and improves representation learning of scRNA-Seq gene expression profiles.
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DANST enables cell-type deconvolution in spatial transcriptomics using deep domain adversarial neural networks.
PMID 41663685 · PMC12996496 · Communications biology · 2026 · 7 claims · 6 setups
DANST, a deconvolution framework using deep domain adversarial neural networks, achieves superior cell-type deconvolution accuracy compared with existing methods on human and mouse benchmark datasets
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Integrative Multiomic Classification Reveals Distinct Origins and Evolutionary Trajectories of Thymic Epithelial Tumors.
PMID 41671387 · PMC13012242 · Cancer research · 2026 · 8 claims · 8 setups
TETs stratify into three molecular subgroups with distinct origins: GTF2I-type thymomas, CN-type thymomas, and thymic carcinomas
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Increased IL4I1 expression predicts poor survival and modulates the immune microenvironment in acute myeloid leukemia.
PMID 41680858 · PMC12910993 · Journal of translational medicine · 2026 · 8 claims · 8 setups
IL4I1 mRNA expression is significantly elevated in AML compared to normal controls
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Multi-cohort and single-cell profiling of aging genes reveals prognostic and therapeutic targets in breast cancer.
PMID 41732271 · PMC12924738 · iScience · 2026 · 8 claims · 7 setups
The eight-gene MLAG signature outperforms 100 previously published prognostic models across 12 independent breast cancer cohorts