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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Interpretation of genomic data: questions and answers.
PMID 18582627 · PMC2528831 · Seminars in hematology · 2008 · 8 claims · 6 setups
The main challenge in using genomic technology in cancer research is not managing the volume of data but the proper design, analysis, and reporting of studies.
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Has reproduction · 94
Manually curated transcriptomics data collection for toxicogenomic assessment of engineered nanomaterials.
PMID 33558569 · PMC7870661 · Scientific data · 2021 · 7 claims · 7 setups
A unified collection of 101 manually curated and homogenized transcriptomics datasets covering human, mouse, and rat ENM exposures in vitro and in vivo was compiled.
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Two committees tackle toxicogenomics.
PMID 12501852 · PMC1241123 · Environmental health perspectives · 2002 · 8 claims · 8 setups
NIEHS funded a $37 million, five-year Toxicogenomics Research Consortium (TRC) linking the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to coordinate gene-expression research on environmental health effects.
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Toxicogenomics research consortium sails into uncharted waters.
PMID 12460811 · PMC1241122 · Environmental health perspectives · 2002 · 8 claims · 8 setups
The NIEHS-funded $37 million Toxicogenomics Research Consortium (TRC) combines the NIEHS Microarray Center with five academic institutions (UNC, Duke, Fred Hutchinson/UW, MIT, OHSU) to define genetic variability, set gene expression standards, and study environmental stress responses.
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Phosphoproteomics: unraveling the signaling web.
PMID 18922462 · PMC2754874 · Molecular cell · 2008 · 8 claims · 8 setups
Integrating discovery-based MS phosphoproteomics with targeted protein microarray technologies yields a more complete picture of signaling networks and improves clinical translation of findings.
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Chemical genomics: what will it take and who gets to play?
PMID 11423004 · PMC138939 · Genome biology · 2001 · 8 claims · 8 setups
Scaling chemical genetics to a genome-wide 'chemical genomics' requires large, well-funded, multidisciplinary centers that integrate compound libraries, protein resources, automation, and profiling technology, and freely distribute data and reagents.
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Proteomic approaches to cancer biomarkers.
PMID 19931265 · PMC2873613 · Gastroenterology · 2010 · 8 claims · 8 setups
Combining abundant-protein depletion, offline fractionation, and subproteome (e.g., glycoproteome) enrichment with 2D LC-MS/MS increases the dynamic range and depth of blood proteome analysis for biomarker discovery.
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Has reproduction · 59
Enhancer Reprogramming Confers Dependence on Glycolysis and IGF Signaling in KMT2D Mutant Melanoma.
PMID 33086062 · PMC7649750 · Cell reports · 2020 · 8 claims · 8 setups
KMT2D is a potent tumor suppressor in melanoma
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Selection of target sites for mobile DNA integration in the human genome.
PMID 17166054 · PMC1664696 · PLoS computational biology · 2006 · 8 claims · 8 setups
A comprehensive bioinformatic method was developed to annotate every base pair in the human genome for its likelihood of hosting integration by each of seven mobile DNA elements, using >200 genomic feature variables.
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New perspectives on an old disease: proteomics in cancer research.
PMID 17472735 · PMC1895992 · Genome biology · 2007 · 8 claims · 8 setups
The HUPO Plasma Proteome Project has catalogued over 3,020 non-redundant gene products (>7,000 proteins/isoforms) in human plasma, many originating from tissues/organs rather than being plasma-intrinsic.
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Thermodynamic stability and Watson-Crick base pairing in the seed duplex are major determinants of the efficiency of the siRNA-based off-target effect.
PMID 18988625 · PMC2602766 · Nucleic acids research · 2008 · 8 claims · 6 setups
Thermodynamic stability (Tm and standard free-energy change, ΔG) of the seed duplex is a major determinant of siRNA off-target effect efficiency