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).

• Integrating single-cell and bulk transcriptomes identifies B cell features associated with neoadjuvant chemoradiotherapy sensitivity in rectal cancer.

  PMID 41484196 · PMC12800305 · Scientific reports · 2026 · 8 claims · 8 setups

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  A B cell subpopulation co-expressing HLA-DRB5, HLA-DQA2, HLA-DQB1, CD74, and ACTG1 is significantly associated with favorable nCRT response in rectal cancer

  larc scrna-seq scissor+ single-cell bulk pseudotime

• Identification of Poor Prognosis-Associated Fibroblast Subpopulation Signature Genes Utilizing the Scissor Algorithm to Classify Colorectal Cancer Subtypes and Evaluate the Immune Landscape.

  PMID 41787974 · PMC13180509 · Gut and liver · 2026 · 8 claims · 8 setups

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  Scissor+ fibroblast subpopulations significantly correlated with prognosis were identified in CRC using the Scissor algorithm integrating scRNA-seq, bulk RNA-seq, and clinical data

  tcga gse39582 gse166555 scrna-seq bulk single-cell cell-cell

• 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

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  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

  autoimmune igan scrna-seq bulk bulk scrna-seq scissor-based

• T Cells With Activated STAT4 Drive the High-Risk Rejection State to Renal Allograft Failure After Kidney Transplantation.

  PMID 35844542 · PMC9283858 · Frontiers in immunology · 2022 · 8 claims · 8 setups

  Has reproduction · 78

  Unsupervised UMAP/Leiden clustering of 2,611 microarray datasets reveals 6 rejection states that diverge from traditional Banff clinical classification

  kidney scrna-seq microarray meblack microarray single-cell scissor