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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Has reproduction
Identification of a novel 10 immune-related genes signature as a prognostic biomarker panel for gastric cancer.
PMID 34382341 · PMC8446556 · Cancer medicine · 2021 · 7 claims · 6 setups
A 10 immune-related gene signature (BMPR1B, GHR, IL11RA, INHBB, NPR3, OBP2A, PTN, R3HDML, TAC1, TPM2) was constructed via WGCNA combined with LASSO-Cox and predicts overall survival in gastric cancer
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Has reproduction · 50
The molecular landscape of sepsis severity in infants: enhanced coagulation, innate immunity, and T cell repression.
PMID 38817614 · PMC11137207 · Frontiers in immunology · 2024 · 7 claims · 7 setups
Most published adult/other-cohort sepsis gene signatures have limited utility for infant sepsis; only 2 of 7 achieved >80% accuracy in infants
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Has reproduction · 68
Molecular subtype of recurrent implantation failure reveals distinct endometrial etiology of female infertility.
PMID 40660214 · PMC12257665 · Journal of translational medicine · 2025 · 8 claims · 8 setups
RIF endometrial samples segregate into two reproducible molecular subtypes: an immune-driven subtype (RIF-I) and a metabolic-driven subtype (RIF-M)
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Has reproduction · 68
Machine learning algorithm predicts fibrosis-related blood diagnosis markers of intervertebral disc degeneration.
PMID 37915003 · PMC10619283 · BMC medical genomics · 2023 · 7 claims · 7 setups
CEP120 and SPDL1 are fibrosis-related diagnostic genes for IDD, identified via a random forest model from 29 differentially expressed fibrosis-related genes
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Has reproduction · 77
Metabolic reprogramming and prognostic insights in molecular landscapes driven by glycolysis in ovarian cancer.
PMID 40707588 · PMC12290113 · Scientific reports · 2025 · 7 claims · 8 setups
457 differentially expressed GRGs were identified between OC and normal ovarian tissue, of which 30 were significantly associated with prognosis
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Has reproduction · 89
In vivo antiviral host transcriptional response to SARS-CoV-2 by viral load, sex, and age.
PMID 32898168 · PMC7478592 · PLoS biology · 2020 · 8 claims · 6 setups
SARS-CoV-2 infection induces a strong interferon-mediated antiviral response in the nasopharynx, up-regulating antiviral factors (OAS1-3, IFIT1-3, MX2, RSAD2, HERC5) and Th1 chemokines CXCL9/10/11, while down-regulating ribosomal protein transcripts.
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Has reproduction · 75
Stage-stratified molecular profiling of non-muscle-invasive bladder cancer enhances biological, clinical, and therapeutic insight.
PMID 35028613 · PMC8714941 · Cell reports. Medicine · 2021 · 8 claims · 5 setups
Stage-stratified molecular subclassification of Ta and T1 tumors provides greater biological understanding and more clinically meaningful information than subtypes derived from all NMIBCs combined.
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Has reproduction · 84
Elucidating the Prognostic and Therapeutic Implications of Insulin Resistance Genes in Breast Cancer: A Machine Learning-Powered Analysis.
PMID 40427728 · PMC12109394 · Biology · 2025 · 8 claims · 8 setups
A seven-gene IRG prognostic signature (LIFR, EZR, TBC1D4, NSF, RPL5, SAA1, PGK1) predicts overall survival in breast cancer across training and four validation cohorts
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Has reproduction · 51
Cell type-specific eQTL analysis of COVID-19 based on single-cell transcriptomic data.
PMID 41064594 · PMC12501775 · NAR genomics and bioinformatics · 2025 · 8 claims · 8 setups
Single-cell eQTL analysis across eight immune cell types identified 2593 genes whose expression is significantly associated with common genetic polymorphisms, with most genes showing cell type-specific effects
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Has reproduction · 94
Hierarchical cell-type identifier accurately distinguishes immune-cell subtypes enabling precise profiling of tissue microenvironment with single-cell RNA-sequencing.
PMID 36681937 · PMC10025442 · Briefings in bioinformatics · 2023 · 8 claims · 8 setups
HiCAT is a hierarchical, marker-based cell-type identifier that uses gene set analysis (GSA) scoring with markers structured in a three-level taxonomy tree (major-type, minor-type, subset)
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Has reproduction · 67
HArmonized single-cell RNA-seq Cell type Assisted Deconvolution (HASCAD).
PMID 37907883 · PMC10619225 · BMC medical genomics · 2023 · 6 claims · 5 setups
HASCAD, a DNN-based cell composition deconvolution model, predicts the fractions of up to 15 immune cell types from bulk RNA-seq.
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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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Has reproduction · 85
Digital sorting of complex tissues for cell type-specific gene expression profiles.
PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups
The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.
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Has reproduction · 78
Evaluating Distribution and Prognostic Value of New Tumor-Infiltrating Lymphocytes in HCC Based on a scRNA-Seq Study With CIBERSORTx.
PMID 33043022 · PMC7527443 · Frontiers in medicine · 2020 · 5 claims · 6 setups
CIBERSORTx can combine scRNA-seq-derived signatures with bulk HCC transcriptomes to estimate proportions of 11 TIL subsets and infer cell-type-specific gene expression.
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Has reproduction · 67
An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.
PMID 36548438 · PMC9822106 · PLoS computational biology · 2022 · 8 claims · 7 setups
An individualized causal analysis framework can discover tumor-specific intercellular communication networks (ICNs) from transcriptomic data
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Has reproduction · 85
Deciphering the Immune Microenvironment at the Forefront of Tumor Aggressiveness by Constructing a Regulatory Network with Single-Cell and Spatial Transcriptomic Data.
PMID 38254989 · PMC10815467 · Genes · 2024 · 8 claims · 8 setups
Combining scRNA-seq and spatial transcriptomics enables inference of malignant cells at the invasive front of the ER+ breast cancer TME and dissection of events at the tumor infiltration forefront
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Has reproduction
Differential Infiltration of Key Immune T-Cell Populations Across Malignancies Varying by Immunogenic Potential and the Likelihood of Response to Immunotherapy.
PMID 39682743 · PMC11640164 · Cells · 2024 · 7 claims · 4 setups
Immune-activation-related T-cell populations (APA, TRM, stem-like, early/late dysfunctional T-cells) are more heavily infiltrated in ICI-responsive malignancies (melanoma, bladder) than in poorly responsive ones (ovarian, pancreatic).
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Has reproduction · 63
Community assessment of methods to deconvolve cellular composition from bulk gene expression.
PMID 39191725 · PMC11350143 · Nature communications · 2024 · 8 claims · 4 setups
Most deconvolution methods accurately predict coarse-grained immune/stromal cell populations from bulk expression.
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Has reproduction · 85
An integrated single-cell and spatial proteotranscriptomics atlas of fibroblast-driven immunoregulation within the human adult oral cavity.
PMID 42147490 · PMC13179517 · Cell press blue · 2026 · 8 claims · 8 setups
Fibroblasts act as central regulators of structural immunity in the human oral cavity, forming peri-epithelial hubs enriched in effector cytokines
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Has reproduction · 91
A reference profile-free deconvolution method to infer cancer cell-intrinsic subtypes and tumor-type-specific stromal profiles.
PMID 32111252 · PMC7049190 · Genome medicine · 2020 · 8 claims · 8 setups
DeClust is a reference profile-free deconvolution method that simultaneously deconvolves bulk tumor expression into cancer, immune, and stromal compartments and clusters samples into cancer cell-intrinsic molecular subtypes, outputting subtype-specific reference profiles for the cohort rather than for individuals.