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 · 77
Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.
PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups
Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.
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Has reproduction · 96
Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis.
PMID 34079055 · PMC8172904 · Communications biology · 2021 · 8 claims · 8 setups
An integrated 50K mouse and 24K human mammary epithelial cell atlas (scRNA-seq) captures mammary epithelium reorganization across most lifetime stages.
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Has reproduction · 95
nf-rnaSeqCount: A Nextflow pipeline for obtaining raw read counts from RNA-seq data.
PMID 35574063 · PMC9097006 · South African computer journal = Suid-Afrikaanse rekenaartydskrif · 2021 · 7 claims · 5 setups
nf-rnaSeqCount is a portable, reproducible Nextflow pipeline that maps RNA-seq reads to a reference genome and quantifies gene abundance for differential expression analysis
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Has reproduction · 48
Bioinformatics Analysis of the Characteristics and Correlation of m6A Methylation in Breast Cancer Progression.
PMID 35655723 · PMC9148239 · Contrast media & molecular imaging · 2022 · 8 claims · 8 setups
Breast cancer samples can be divided into 4 m6A subtypes (quiescent, m6A methylation, protein-binding, mixed) based on expression of m6A-related genes, with consistent proportions across datasets
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Has reproduction · 92
Activity of distinct growth factor receptor network components in breast tumors uncovers two biologically relevant subtypes.
PMID 28446242 · PMC5406893 · Genome medicine · 2017 · 7 claims · 6 setups
Breast tumors exhibit two discrete GFRN activity phenotypes: a 'survival phenotype' with concordant HER2/IGF1R/AKT activation and a 'growth phenotype' with concordant EGFR/KRAS(G12V)/RAF1/BAD activation, which are typically mutually exclusive.
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Has reproduction · 100
Identification of phenotype-specific networks from paired gene expression-cell shape imaging data.
PMID 35197309 · PMC8997347 · Genome research · 2022 · 8 claims · 5 setups
A network-based approach integrating RNA-seq and cell-shape imaging data identifies data-derived signaling networks specific to cell-shape regulation in breast cancer.
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Has reproduction · 73
Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.
PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups
N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort
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Has reproduction · 73
GREIN: An Interactive Web Platform for Re-analyzing GEO RNA-seq Data.
PMID 31110304 · PMC6527554 · Scientific reports · 2019 · 8 claims · 7 setups
GREIN is a web application providing user-friendly interfaces to manipulate, visualize, and analyze GEO RNA-seq data.
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Has reproduction · 92
Similarities and Differences in Gene Expression Networks Between the Breast Cancer Cell Line Michigan Cancer Foundation-7 and Invasive Human Breast Cancer Tissues.
PMID 34056582 · PMC8155268 · Frontiers in artificial intelligence · 2021 · 8 claims · 8 setups
MCF-7 cell lines and human breast cancer tissues share only minimal similarity in biological processes, though fundamental functions such as cell cycle are conserved
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Has reproduction · 54
Single-Cell Transcriptome Analysis Revealed Heterogeneity and Identified Novel Therapeutic Targets for Breast Cancer Subtypes.
PMID 37190091 · PMC10137100 · Cells · 2023 · 8 claims · 8 setups
Single-cell transcriptomic analysis of EPCAM+Lin- epithelial cells identified unique gene signatures/markers that distinguish ER+, HER2+, ER+HER2+, and TNBC molecular subtypes
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Has reproduction · 87
Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer.
PMID 36232369 · PMC9569723 · International journal of molecular sciences · 2022 · 8 claims · 8 setups
Common genes shared across five cancer types differ from those found in nonmalignant tissue-resident T-cells for each subset (CD4-T, CD8-T, Treg)
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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 · 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 · 73
FRMD8 inhibits tumor metastasis in BRCA1-associated TNBC by negatively regulating tmTNF-α.
PMID 40619383 · PMC12229025 · Cellular & molecular biology letters · 2025 · 8 claims · 8 setups
Low FRMD8 expression in BRCA1-mutant breast cancer cells significantly enhances metastatic potential to various organs
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Has reproduction · 71
IRSN-23 gene diagnosis enhances breast cancer subtype classification and predicts response to neoadjuvant chemotherapy: new validation analyses.
PMID 40128415 · PMC11993443 · Breast cancer (Tokyo, Japan) · 2025 · 8 claims · 8 setups
IRSN-23 Gp-R patients have significantly higher pCR rates than Gp-NR patients without anti-HER2 therapy, across the OUH cohort and multiple independent public datasets
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Has reproduction · 84
DeepProg: an ensemble of deep-learning and machine-learning models for prognosis prediction using multi-omics data.
PMID 34261540 · PMC8281595 · Genome medicine · 2021 · 6 claims · 7 setups
DeepProg, an ensemble of deep-learning and machine-learning models, robustly predicts patient survival subtypes from multi-omics data and explicitly models survival as the objective while predicting new patient risks
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Has reproduction · 51
Construction and Validation of an Immune Infiltration-Related Gene Signature for the Prediction of Prognosis and Therapeutic Response in Breast Cancer.
PMID 33986754 · PMC8110914 · Frontiers in immunology · 2021 · 7 claims · 8 setups
A 15-gene immune infiltration-related signature (IRS) predicts overall survival in breast cancer, with higher IRS indicating worse prognosis
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Has reproduction · 59
Advances in genomic and pharmacokinetic profiling for clinical stratification of metastatic breast cancer.
PMID 41369820 · PMC12799884 · Discover oncology · 2025 · 7 claims · 8 setups
Eight gene modules linked to metastasis were identified via scored network analysis and validated through pathway databases.
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Has reproduction · 68
Systematic identification of ACE2 expression modulators reveals cardiomyopathy as a risk factor for mortality in COVID-19 patients.
PMID 35012625 · PMC8743438 · Genome biology · 2022 · 7 claims · 8 setups
GENEVA is a semi-automated, study-design-agnostic framework that mines large-scale public RNA-seq data to identify conditions modulating a gene of interest's expression
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Has reproduction · 53
Gene Dosage Analysis on the Single-Cell Transcriptomes Linking Cotranslational Protein Targeting to Metastatic Triple-Negative Breast Cancer.
PMID 34577617 · PMC8472593 · Pharmaceuticals (Basel, Switzerland) · 2021 · 7 claims · 5 setups
A computational framework integrating independently measured CNV (DNA sequencing) and single-cell RNA-seq from the same patients identifies recurrent concordant copy number gain and gene upregulation (CNG-UP) events and functional modules at the single-cell level.