CellMiner: a relational database and query tool for the NCI-60 cancer cell lines. - Wikidata - awgldk - TriplyDB

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

http://www.wikidata.org/entity/Q33472990

about

Pseudogenes Putative DNA/RNA helicase Schlafen-11 (SLFN11) sensitizes cancer cells to DNA-damaging agents Tumor-Derived Cell Lines as Molecular Models of Cancer Pharmacogenomics Using CellMiner 1.6 for Systems Pharmacology and Genomic Analysis of the NCI-60 In vitro human cell line models to predict clinical response to anticancer drugs Nanoparticle analysis sheds budding insights into genetic drivers of extracellular vesicle biogenesis.Using drug response data to identify molecular effectors, and molecular "omic" data to identify candidate drugs in cancer Cancer genome sequencing: understanding malignancy as a disease of the genome, its conformation, and its evolution.Using Pharmacogenomic Databases for Discovering Patient-Target Genes and Small Molecule Candidates to Cancer Therapy Integrated metabolic modelling reveals cell-type specific epigenetic control points of the macrophage metabolic network StRAP: an integrated resource for profiling high-throughput cancer genomic data from stress response studies.MDP, a database linking drug response data to genomic information, identifies dasatinib and statins as a combinatorial strategy to inhibit YAP/TAZ in cancer cells Connecting synthetic chemistry decisions to cell and genome biology using small-molecule phenotypic profiling.In vitro clinical trials: the future of cell-based profiling.A multivariate approach to the integration of multi-omics datasets Marine Mollusk-Derived Agents with Antiproliferative Activity as Promising Anticancer Agents to Overcome Chemotherapy Resistance.Five-Membered Ring Peroxide Selectively Initiates Ferroptosis in Cancer Cells.Patterns of basal signaling heterogeneity can distinguish cellular populations with different drug sensitivities.Variable NF-κB pathway responses in colon cancer cells treated with chemotherapeutic drugs Functional categories associated with clusters of genes that are co-expressed across the NCI-60 cancer cell lines Gene expression profiles of the NCI-60 human tumor cell lines define molecular interaction networks governing cell migration processes Joint analysis of miRNA and mRNA expression data.Concordance of gene expression and functional correlation patterns across the NCI-60 cell lines and the Cancer Genome Atlas glioblastoma samples.Systematically characterizing and prioritizing chemosensitivity related gene based on Gene Ontology and protein interaction network.Expression of microRNAs in the NCI-60 cancer cell-lines MiRNA-miRNA synergistic network: construction via co-regulating functional modules and disease miRNA topological features.Novel regulation of nuclear factor-YB by miR-485-3p affects the expression of DNA topoisomerase IIα and drug responsiveness.Peptidomic analysis of human cell lines.Identification of potential synthetic lethal genes to p53 using a computational biology approach Integrating omics technologies to study pulmonary physiology and pathology at the systems level.Genetic and functional studies of phosphatidyl-inositol 4-kinase type IIIα Regulation of microtubule dynamics by DIAPH3 influences amoeboid tumor cell mechanics and sensitivity to taxanes iFad: an integrative factor analysis model for drug-pathway association inference CellMiner: a web-based suite of genomic and pharmacologic tools to explore transcript and drug patterns in the NCI-60 cell line set.The use of novel selectivity metrics in kinase research.Epigenetic Regulation of GDF2 Suppresses Anoikis in Ovarian and Breast Epithelia.Identifying drug-pathway association pairs based on L1L2,1-integrative penalized matrix decomposition.miRNA target enrichment analysis reveals directly active miRNAs in health and disease.A miR-192-EGR1-HOXB9 regulatory network controls the angiogenic switch in cancer.Computational selection of antibody-drug conjugate targets for breast cancer.

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P2860

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

http://www.wikidata.org/entity/Q33472990

description

2009 nî lūn-bûn

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2009 թուականի Յունիսին հրատարակուած գիտական յօդուած

@hyw

2009 թվականի հունիսին հրատարակված գիտական հոդված

@hy

2009年の論文

@ja

2009年論文

@yue

2009年論文

@zh-hant

2009年論文

@zh-hk

2009年論文

@zh-mo

2009年論文

@zh-tw

2009年论文

@wuu

name

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@ast

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@en

type

label

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@ast

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@en

prefLabel

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@ast

CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

@en

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1471-2164-10-277

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CellMiner: a relational database and query tool for the NCI-60 cancer cell lines.

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David Kane

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John N Weinstein

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Krishna K Chary

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Margot Sunshine

http://www.w3.org/2001/XMLSchema#string

Uma T Shankavaram

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Sequence, expression, and function of the gene for the nonphosphorylating, NADP-dependent glyceraldehyde-3-phosphate dehydrogenase of Streptococcus mutans

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Asparagine synthetase as a causal, predictive biomarker for L-asparaginase activity in ovarian cancer cells.

ONCOMINE: a cancer microarray database and integrated data-mining platform

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A gene expression database for the molecular pharmacology of cancer

Proteomic profiling of the NCI-60 cancer cell lines using new high-density reverse-phase lysate microarrays.

Pharmacogenomic analysis: correlating molecular substructure classes with microarray gene expression data.

Integrating data on DNA copy number with gene expression levels and drug sensitivities in the NCI-60 cell line panel.

Detailed DNA methylation profiles of the E-cadherin promoter in the NCI-60 cancer cells.

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1471-2164-10-277

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277

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scholarly article

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10.1186/1471-2164-10-277

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10

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William Reinhold

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2009-06-23T00:00:00Z

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