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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Increasing the number of SNP loci does not necessarily improve prediction power at least in the comparison of MTHFR SNP and haplotypes.
PMID 19075497 · PMC4771609 · Journal of epidemiology · 2008 · 7 claims · 6 setups
Increasing the number of typed SNP loci does not necessarily improve prediction power, at least for the MTHFR gene
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Has reproduction · 50
Dissecting lncRNA-mRNA competitive regulatory network in human islet tissue exosomes of a type 1 diabetes model reveals exosome miRNA markers.
PMID 36440209 · PMC9682028 · Frontiers in endocrinology · 2022 · 6 claims · 7 setups
lncRNA-mRNA ceRNA networks differ substantially between control and cytokine-treated islet exosomes, sharing lncRNAs more than mRNAs, implying state-dependent regulatory functions
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Proteomic identification of non-Gal antibody targets after pig-to-primate cardiac xenotransplantation.
PMID 18957049 · PMC2586876 · Xenotransplantation · 2008 · 8 claims · 6 setups
Non-Gal antibody response after cardiac xenotransplantation is directed to a diverse set of stress response, inflammation-related, cytoskeletal and metabolic pig EC antigens, with several immunodominant targets remaining undefined
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A statistical model to identify differentially expressed proteins in 2D PAGE gels.
PMID 19763172 · PMC2734266 · PLoS computational biology · 2009 · 7 claims · 5 setups
A mixture likelihood model incorporating both detected and non-detected proteins has higher statistical power to detect differential expression than standard approaches like the Student's t-test.
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The process chain for peptidomic biomarker discovery.
PMID 16410650 · PMC3850862 · Disease markers · 2006 · 8 claims · 3 setups
Peptidomics (comprehensive analysis of peptides and small proteins <20 kDa) fills a methodological gap left by standard proteomics, which mainly addresses proteins in the ~10-200 kDa range.
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Application of OMICS technologies in occupational and environmental health research; current status and projections.
PMID 19933307 · PMC2910417 · Occupational and environmental medicine · 2010 · 8 claims · 6 setups
Five OMICS technologies are well established: genotyping, transcriptomics, epigenomics, proteomics, and metabolomics
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Modification-specific proteomics: strategies for characterization of post-translational modifications using enrichment techniques.
PMID 19743430 · PMC2892724 · Proteomics · 2009 · 8 claims · 8 setups
Lack of efficient enrichment procedures for PTM peptides is a major bottleneck in PTM proteomic research