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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Proteomic analysis of nipple aspirate fluid from women with early-stage breast cancer using isotope-coded affinity tags and tandem mass spectrometry reveals differential expression of vitamin D binding protein.
PMID 16542425 · PMC1431555 · BMC cancer · 2006 · 8 claims · 5 setups
ICAT tandem MS can identify and quantify differences in specific protein expression between NAF from tumor-bearing and disease-free breasts
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A comprehensive sensitivity analysis of microarray breast cancer classification under feature variability.
PMID 19941644 · PMC2789744 · BMC bioinformatics · 2009 · 7 claims · 4 setups
Feature variability strongly influences breast cancer signature composition even when array platform and patient stratification are identical.
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Has reproduction · 77
Comparison of RNA-Seq by poly (A) capture, ribosomal RNA depletion, and DNA microarray for expression profiling.
PMID 24888378 · PMC4070569 · BMC genomics · 2014 · 8 claims · 8 setups
Ribo-Zero-Seq removes rRNA with efficiency comparable to poly(A)-based mRNA-Seq in both FF and FFPE RNA, whereas DSN-Seq leaves significantly more rRNA and shows greater variation.
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Two-dimensional electrophoretic comparison of metastatic and non-metastatic human breast tumors using in vitro cultured epithelial cells derived from the cancer tissues.
PMID 18416831 · PMC2377273 · BMC cancer · 2008 · 6 claims · 4 setups
Three protein spots were significantly altered in abundance between metastase-positive and metastase-negative breast cancer patient groups
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Surface-enhanced laser desorption/ionization time-of-flight proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18510725 · PMC2481497 · Breast cancer research : BCR · 2008 · 7 claims · 7 setups
Unsupervised hierarchical clustering of 130 SELDI-TOF peaks yielded six peak clusters and five distinct groups of breast cancer patients.
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A European focus on proteomics.
PMID 15128441 · PMC416463 · Genome biology · 2004 · 8 claims · 8 setups
MALDI-MS and ESI-MS are complementary techniques that identify overlapping but distinct subsets of proteins
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BCoR-L1 variation and breast cancer.
PMID 17697391 · PMC2206730 · Breast cancer research : BCR · 2007 · 8 claims · 7 setups
BCoR-L1 expression does not play a large role in predisposition to familial breast cancer
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Breast cancer proteomics reveals correlation between estrogen receptor status and differential phosphorylation of PGRMC1.
PMID 18922159 · PMC2614521 · Breast cancer research : BCR · 2008 · 8 claims · 5 setups
PGRMC1 protein spots are differentially abundant between ER-negative and ER-positive breast tumors, with two of three spots more abundant in ER-negative tumors
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Alcohol consumption and breast tumor mitochondrial DNA mutations.
PMID 19847642 · PMC4403627 · Breast cancer research and treatment · 2010 · 8 claims · 6 setups
Somatic mtDNA mutations are a frequent occurrence in breast tumors
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SELDI-TOF proteomic profiling of breast carcinomas identifies clinicopathologically relevant groups of patients similar to previously defined clusters from cDNA expression.
PMID 18644101 · PMC2481502 · Breast cancer research : BCR · 2008 · 7 claims · 3 setups
SELDI-TOF MS proteomic profiling of breast carcinomas identifies patient subgroups with differential co-expression of protein peaks that are analogous to gene-expression-based classifications (luminal, basal, HER2 subtypes)
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Has reproduction · 59
Refining breast cancer biomarker discovery and drug targeting through an advanced data-driven approach.
PMID 38253993 · PMC10810249 · BMC bioinformatics · 2024 · 8 claims · 8 setups
The BGWO_SA_Ens algorithm (hybrid BGWO + simulated annealing with an ensemble classifier objective function) selects predictive breast cancer biomarker genes with high classification performance
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Has reproduction · 73
Involvement of N4BP2L1, PLEKHA4, and BEGAIN genes in breast cancer and muscle cell development.
PMID 38859961 · PMC11163233 · Frontiers in cell and developmental biology · 2024 · 8 claims · 8 setups
N4BP2L1, PLEKHA4, and BEGAIN, normally highly expressed in breast myoepithelial and smooth muscle cells, are significantly downregulated in breast tumor tissue of a 50-patient cohort
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Has reproduction · 84
A scalable, open-source implementation of a large-scale mechanistic model for single cell proliferation and death signaling.
PMID 35729113 · PMC9213456 · Nature communications · 2022 · 7 claims · 5 setups
Developed a python-based, scalable model creation and simulation pipeline that converts structured text files into an SBML-standard model and is high-performance/cloud-computing ready.
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Has reproduction · 71
Parsimonious Gene Correlation Network Analysis (PGCNA): a tool to define modular gene co-expression for refined molecular stratification in cancer.
PMID 30993001 · PMC6459838 · NPJ systems biology and applications · 2019 · 8 claims · 7 setups
Retaining only the top ~3 most correlated edges per gene (EPG3) combined with FastUnfold clustering (termed PGCNA) produces gene co-expression modules with significantly better separation and enrichment of known biology than using all edges or other clustering methods.
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The use of laser capture microscopy in proteomics research--a review.
PMID 15502248 · PMC3839334 · Disease markers · 2004 · 8 claims · 8 setups
LCM allows purification of specific, histologically defined cell populations from heterogeneous tissue for downstream proteomic analysis
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Convergence of mutation and epigenetic alterations identifies common genes in cancer that predict for poor prognosis.
PMID 18507500 · PMC2429944 · PLoS medicine · 2008 · 7 claims · 7 setups
At least 36 of the 189 newly mutated CAN genes are targets of promoter CpG island hypermethylation, often in both colon and breast cancer cell lines
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Complex landscapes of somatic rearrangement in human breast cancer genomes.
PMID 20033038 · PMC3398135 · Nature · 2009 · 8 claims · 6 setups
There are more somatic rearrangements in some breast cancers than previously appreciated by cytogenetic methods.
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Identification of genes associated with multiple cancers via integrative analysis.
PMID 19919702 · PMC2785840 · BMC genomics · 2009 · 8 claims · 8 setups
Mc.TGD (Multi-cancer Threshold Gradient Descent) is the first regularized approach to conduct two-dimensional selection of genes with joint effects on cancer development across multiple cancers.
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Proteome analysis enables separate clustering of normal breast, benign breast and breast cancer tissues.
PMID 12865921 · PMC2394238 · British journal of cancer · 2003 · 6 claims · 3 setups
Hierarchical cluster analysis of 2-DE proteome data can distinguish normal breast, benign breast, and breast cancer tissues based on protein expression profiles
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93rd Annual Meeting of the American Association for Cancer Research, San Francisco, CA, USA, 6-10 April 2002.
PMID 12100742 · PMC138737 · Breast cancer research : BCR · 2002 · 8 claims · 8 setups
Serial analysis of gene expression identifies genes preferentially expressed in ductal carcinoma in situ