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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Of mice and men: comparative proteomics of bronchoalveolar fluid.
PMID 20032019 · PMC3049194 · The European respiratory journal · 2010 · 8 claims · 8 setups
Comparative shotgun proteomics of human and mouse BALF identifies conserved pathways (immunity, defence response, protease activity) alongside species-specific divergent pathways.
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Has reproduction · 51
SGCP: a spectral self-learning method for clustering genes in co-expression networks.
PMID 38956463 · PMC11221046 · BMC bioinformatics · 2024 · 7 claims · 4 setups
SGCP, a spectral self-learning method, yields gene co-expression modules with higher GO enrichment than WGCNA, CoExpNets, and CEMiTool across 12 real gene expression datasets.
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Translating genome sequences into biological understanding.
PMID 12801409 · PMC193614 · Genome biology · 2003 · 8 claims · 7 setups
Gene-trap insertional mutagenesis in mouse ES cells (BayGenomics) generates a large resource of cell lines and knockout mice for studying gene expression patterns and function.
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Identification of serum biomarkers for colon cancer by proteomic analysis.
PMID 16755300 · PMC2361335 · British journal of cancer · 2006 · 8 claims · 8 setups
Complement C3a des-arg, α1-antitrypsin and transferrin were identified as serum proteins with diagnostic potential for CRC.
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Integrated proteomic analysis of human cancer cells and plasma from tumor bearing mice for ovarian cancer biomarker discovery.
PMID 19936259 · PMC2775948 · PloS one · 2009 · 8 claims · 8 setups
Integrated proteomic analysis of a cancer mouse model and human cancer cell populations provides an effective approach to identify potential circulating protein biomarkers.
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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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Lymphocytes from patients with type 1 diabetes display a distinct profile of chromatin histone H3 lysine 9 dimethylation: an epigenetic study in diabetes.
PMID 18776137 · PMC2584123 · Diabetes · 2008 · 6 claims · 7 setups
Lymphocytes (but not monocytes) from type 1 diabetic patients show a distinct subset of genes with significantly increased H3K9me2 compared with healthy controls.