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 · 59
Global chromatin accessibility profiling analysis reveals a chronic activation state in aged muscle stem cells.
PMID 36093058 · PMC9459695 · iScience · 2022 · 8 claims · 8 setups
PFA-perfusion-based isolation preserves the true in vivo chromatin accessibility state, avoiding artifacts caused by tissue dissociation-induced activation
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Has reproduction · 67
Unraveling the timeline of gene expression: A pseudotemporal trajectory analysis of single-cell RNA sequencing data.
PMID 37994351 · PMC10663991 · F1000Research · 2023 · 8 claims · 6 setups
A comprehensive open-source R workflow combining trajectory inference (monocle3) and pseudo-bulk time course analysis (edgeR) can be applied to multi-sample scRNA-seq data of the mouse mammary gland.
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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
Integration of five mouse scRNAseq datasets reveals a trifurcating lineage trajectory originating from embryonic mammary stem cells (MaSCs) that differentiates into three epithelial lineages (Basal, L-Alv, L-Hor) via unipotent progenitor clusters
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Has reproduction · 44
Phased differentiation of γδ T and T CD8 tumor-infiltrating lymphocytes revealed by single-cell transcriptomics of human cancers.
PMID 34721945 · PMC8555559 · Oncoimmunology · 2021 · 7 claims · 6 setups
In tumors, TCRVγnon9 γδ T cells (the majority γδ TIL subset) are quantitatively correlated and aligned with T CD8 cells for differentiation, exhaustion, gene expression profile, and response to immune checkpoint therapy
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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 · 8 claims · 8 setups
Only two of seven published sepsis gene signatures (derived from adult/pediatric/geriatric cohorts) showed good concordance (>80% accuracy) when applied to infant sepsis, showing limited generalizability of non-infant signatures.
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Has reproduction · 59
Integrative network modeling reveals mechanisms underlying T cell exhaustion.
PMID 32024856 · PMC7002445 · Scientific reports · 2020 · 8 claims · 7 setups
TCE arises from changes in diverse gene regulatory interactions across a shared network rather than dysregulation of a single gene
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Has reproduction · 85
A novel oxidative stress-related gene signature as an indicator of prognosis and immunotherapy responses in HNSCC.
PMID 38157249 · PMC10781479 · Aging · 2023 · 7 claims · 8 setups
Consensus clustering of 74 oxidative stress-related genes identifies three distinct HNSCC molecular subgroups (Cluster1-3) with significantly different overall survival and tumor stage distribution
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Has reproduction · 78
Machine learning and free energy clustering reveal PAH protein binding linked to AD risk.
PMID 41953002 · PMC13053772 · iScience · 2026 · 8 claims · 8 setups
PARP1, PTPN1, and ITGA4 are core PAH protein targets identified via PPI network analysis and XGBoost feature selection from AD-associated DEGs
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Has reproduction · 57
Identification and Mechanisms of Osteocyte Subsets Involved in the Pathological Progression of Osteoporosis.
PMID 41250977 · PMC12850396 · Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026 · 8 claims · 8 setups
Single-cell sequencing of mouse femurs identifies six distinct osteocyte subsets (C1-C6) after excluding contaminating erythroid clusters
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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 · 6 setups
An individualized Bayesian causal discovery framework can learn tumor-specific intercellular communication networks (ICNs) by combining single-cell gene expression module (GEM) discovery, bulk tumor deconvolution, and individualized causal network learning.
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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 · 86
Single-cell transcriptome maps of myeloid blood cell lineages in Drosophila.
PMID 32900993 · PMC7479620 · Nature communications · 2020 · 8 claims · 8 setups
Single-cell RNA-seq of developing Drosophila lymph glands resolves heterogeneity of hemocytes and identifies major and sub cell types.
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Has reproduction · 47
Comprehensive analysis of metastatic gastric cancer tumour cells using single-cell RNA-seq.
PMID 33441952 · PMC7806779 · Scientific reports · 2021 · 8 claims · 6 setups
Carcinoma cell profiles are distinct for each patient, while diverse microenvironmental (nonmalignant) subsets are shared across different patients.
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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 · 55
Single cell analysis reveals the roles and regulatory mechanisms of type-I interferons in Parkinson's disease.
PMID 38566100 · PMC10985960 · Cell communication and signaling : CCS · 2024 · 8 claims · 8 setups
Microglia, endothelial cells, and pericytes exhibit the highest IFN-I activity among PD midbrain cell types, with microglia and endothelial cells showing significantly elevated high-IFN-I-scoring proportions in PD versus controls
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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 · 7 claims · 8 setups
High expression of transcription factors FOXA1 and EZH2 in malignant cells at the invasive front plays a key role in driving tumor progression
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Has reproduction · 71
Single-Cell Transcriptomic Landscape of Right-Sided Colon Cancer Reveals Cellular and Molecular Features of Metastatic Potential.
PMID 41898210 · PMC13024220 · Biomedicines · 2026 · 8 claims · 6 setups
RCC_LM tumors exhibit higher genomic instability (CNV score) than RCC_noM tumors
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Has reproduction · 33
To Explore the Key Subgroup and Their Immune Microenvironment During the Formation of Coronary Plaque With scRNA-seq.
PMID 40454289 · PMC12126265 · Cardiology research and practice · 2025 · 6 claims · 8 setups
C1 RACK1+ NK cells are a crucial subgroup for understanding coronary plaque formation, exhibiting the highest cell stemness/differentiation potential and positioned at the start of the pseudotime trajectory
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Has reproduction · 71
Targeted and personalized immunotherapy in lung adenocarcinoma: single-cell RNA sequencing of MAFF+ tumor cells and the therapeutic potential of FOS.
PMID 40936936 · PMC12420628 · Frontiers in immunology · 2025 · 7 claims · 8 setups
A highly stem-like C0 MAFF+ tumor cell subtype dominates invasive LUAD, producing chemokines and activating lipid metabolism
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Has reproduction · 92
Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration.
PMID 34773081 · PMC8589952 · Communications biology · 2021 · 8 claims · 7 setups
Large-scale integration of 111 sc/snRNAseq datasets captures rare, transitional myogenic progenitor states (commitment and fusion) that are poorly represented in individual datasets.