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).

• nm23-H1 protein expression and gene mutation in 150 patients with non-Hodgkin's lymphomas.

  PMID 16891807 · PMC2729885 · Journal of Korean medical science · 2006 · 8 claims · 4 setups

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  High nm23-H1 protein expression is associated with high IPI score in non-Hodgkin's lymphomas

  non-hodgkin's immunohistochemistry pcr-sscp sequencing

• Towards precise classification of cancers based on robust gene functional expression profiles.

  PMID 15774002 · PMC1274255 · BMC bioinformatics · 2005 · 6 claims · 7 setups

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  Functional expression profiles (FEPs) achieve comparable or better classification performance than conventional gene expression profiles (GEPs) across four public microarray datasets

  nci60 lymphoma fep go-annotated cdna recursive hypergeometric

• Expression genomics in breast cancer research: microarrays at the crossroads of biology and medicine.

  PMID 17397520 · PMC1868923 · Breast cancer research : BCR · 2007 · 8 claims · 8 setups

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  Genome-wide expression microarray studies reveal transcriptional networks/signatures that explain breast cancer biological and clinical heterogeneity

  breast early-stage diffuse dlbcl gene

• Indirect genomic effects on survival from gene expression data.

  PMID 18358079 · PMC2397510 · Genome biology · 2008 · 7 claims · 6 setups

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  A novel methodology (dynamic path analysis combined with additive hazard survival regression) can detect and quantify indirect effects of gene expression on survival mediated through transcription factor target genes.

  dutch uppsala dlbcl gene gene literature permutation

• Microarray analysis: genome-scale hypothesis scanning.

  PMID 14551912 · PMC212694 · PLoS biology · 2003 · 8 claims · 5 setups

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  Microarrays can be used to both test and generate hypotheses, not merely to fish for candidate genes.

  drosophila yeast diffuse breast microarray integrated gene

• Downregulation of death-associated protein kinase 1 (DAPK1) in chronic lymphocytic leukemia.

  PMID 17540169 · PMC4647864 · Cell · 2007 · 8 claims · 13 setups

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  DAPK1 promoter is epigenetically silenced by DNA methylation in almost all sporadic CLL cases

  cd19+ leukemia raji jurkat quantitative cobra chromatin

• Targeted disruption of the S1P2 sphingosine 1-phosphate receptor gene leads to diffuse large B-cell lymphoma formation.

  PMID 19903857 · PMC2973841 · Cancer research · 2009 · 8 claims · 8 setups

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  S1P2−/− mice develop clonal B-cell lymphomas with age, with ~half affected by 1.5-2 years

  s1p2− lymphoma bone genomic necropsy histology flow

• Digital sorting of complex tissues for cell type-specific gene expression profiles.

  PMID 23497278 · PMC3626856 · BMC bioinformatics · 2013 · 8 claims · 8 setups

  Has reproduction · 85

  The Digital Sorting Algorithm (DSA) deconvolves mixed tissue expression into cell type-specific profiles using only marker genes, without requiring prior knowledge of cell type frequencies or in vitro pure-cell profiles.

  liver im-9 immune deconvolved microarray simulation roc

• Iterative class discovery and feature selection using Minimal Spanning Trees.

  PMID 15355552 · PMC520744 · BMC bioinformatics · 2004 · 7 claims · 5 setups

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  Iterating between MST-based clustering and t-statistic feature selection removes noise genes step-wise while sharpening the sample clustering

  simulated breast acute diffuse synthetic cdna microarray

• KEGG spider: interpretation of genomics data in the context of the global gene metabolic network.

  PMID 19094223 · PMC2646283 · Genome biology · 2008 · 8 claims · 8 setups

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  KEGG spider, using a global 'pathway-free' metabolic network framework, provides deeper insight into metabolism variations than existing enrichment-based methods.

  diffuse-type liver renal anaplastic differential proteomic proteomics

• Predicting survival outcomes using subsets of significant genes in prognostic marker studies with microarrays.

  PMID 16549007 · PMC1544357 · BMC bioinformatics · 2006 · 7 claims · 2 setups

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  A methodology combining Cox proportional hazards models with a compound covariate, cross-validated log partial likelihood (ACVL) for predictive accuracy, and permutation-based significance testing can identify an optimal subset of significant genes for survival prediction

  simulated diffuse simulation cdna

• Aberration in DNA methylation in B-cell lymphomas has a complex origin and increases with disease severity.

  PMID 23326238 · PMC3542081 · PLoS genetics · 2013 · 8 claims · 8 setups

  Has reproduction · 49

  B-cell non-Hodgkin lymphomas display striking intra-tumor (intra-sample) and inter-patient (inter-sample) cytosine methylation heterogeneity that increases progressively with disease aggressiveness (NBC<NGC<FL<GCB<ABC).

  dlbcl normal same lymphoma help errbs massarray

• Implementing the reuse of public DIA proteomics datasets: from the PRIDE database to Expression Atlas.

  PMID 35701420 · PMC9197839 · Scientific data · 2022 · 8 claims · 5 setups

  Has reproduction · 50

  An open, containerised, Nextflow-orchestrated reanalysis pipeline combining metadata annotation, SWATH-MS analysis, statistical analysis, and Expression Atlas integration was developed for public DIA data.

  pooled datasets pxd014194 technical swath-ms dda-based differential

• A reliable method to display authentic DNase I hypersensitive sites at long-ranges in single-copy genes from large genomes.

  PMID 16510851 · PMC1388096 · Nucleic acids research · 2006 · 6 claims · 3 setups

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  MDHA extends the range of classical DHA from ~20 kb increments to intervals approaching 100 kb using agarose-embedded nuclei, FIGE, and long-range Southern blotting

  jurkat specified mdha northern

• Have microarrays failed to deliver for developmental biology?

  PMID 12225576 · PMC139405 · Genome biology · 2002 · 8 claims · 8 setups

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  Despite predictions that microarrays would transform biology, very few published developmental biology microarray studies have generated novel insights.

  drosophila caenorhabditis developing xenopus cdna genome-wide microarray

• Helicobacter pylori: after the genomes, back to biology.

  PMID 12668641 · PMC2193897 · The Journal of experimental medicine · 2003 · 8 claims · 5 setups

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  STM screening of 960 H. pylori mutants in gerbils identifies genes required for in vivo colonization

  helicobacter diffuse signature-tagged genome yeast

• Biocomputing enters its adolescence.

  PMID 15960815 · PMC1175967 · Genome biology · 2005 · 8 claims · 8 setups

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  A 'match augmentation' algorithm efficiently matches structural motifs by prioritizing functionally significant residues, enabling function prediction between evolutionarily unrelated proteins

  bank antibody-antigen yeast genome protein-protein empirical integrative

• Pharmacogenomic biomarkers.

  PMID 12364812 · PMC3850811 · Disease markers · 2002 · 8 claims · 8 setups

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  Development of a pharmacogenomic biomarker requires sequential steps: laboratory identification, retrospective confirmation in clinical samples, prospective clinical trial validation, and regulatory approval before patient stratification.

  populations population tumor breast genetic array immunohistochemistry

• Proteomics studies reveal important information on small molecule therapeutics: a case study on plasma proteins.

  PMID 18973825 · PMC7185545 · Drug discovery today · 2008 · 8 claims · 8 setups

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  Abundant plasma proteins (albumin, IgG, transferrin) act as 'molecular sponges' that bind and transport low molecular weight proteins/peptides and drugs, extending their half-life by preventing rapid renal clearance.

  blood schizophrenia sjl serum proteomic differential comparative

• An integrative approach to reveal driver gene fusions from paired-end sequencing data in cancer.

  PMID 19881495 · PMC3086882 · Nature biotechnology · 2009 · 8 claims · 8 setups

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  A 'concept signature' (ConSig) score algorithm ranks genes by association with molecular concepts characteristic of fusion or mutation cancer genes, nominating biologically important fusions from large candidate sets.

  lung known leukemia tumor paired-end computational snp