review article | Q7318358 |
scholarly article | Q13442814 |
P356 | DOI | 10.1517/17425250802661895 |
P698 | PubMed publication ID | 19236227 |
P50 | author | Qing-Yu He | Q37837220 |
Feng Ge | Q59692119 | ||
P2093 | author name string | Feng Ge | |
Qing-Yu He | |||
P2860 | cites work | 8-plex quantitation of changes in cerebrospinal fluid protein expression in subjects undergoing intravenous immunoglobulin treatment for Alzheimer's disease | Q24606651 |
The comparative toxicogenomics database: a cross-species resource for building chemical-gene interaction networks | Q24673368 | ||
Applications of microarray technology in breast cancer research | Q24801392 | ||
Protein expression profiling arrays: tools for the multiplexed high-throughput analysis of proteins | Q24805115 | ||
Mechanisms of benzene-induced hematotoxicity and leukemogenicity: cDNA microarray analyses using mouse bone marrow tissue | Q24815877 | ||
Toxicoproteomics: a parallel approach to identifying biomarkers | Q24815922 | ||
Functional discovery via a compendium of expression profiles | Q27938962 | ||
Large-scale analysis of the yeast proteome by multidimensional protein identification technology | Q28131778 | ||
Adverse drug reactions as cause of admission to hospital: prospective analysis of 18 820 patients | Q28169189 | ||
Clustering of hepatotoxins based on mechanism of toxicity using gene expression profiles | Q28213099 | ||
Quantitative mass spectrometry in proteomics: a critical review | Q28238800 | ||
Quantitative profiling of differentiation-induced microsomal proteins using isotope-coded affinity tags and mass spectrometry | Q28360826 | ||
Peer Reviewed: SELDI-TOF MS for Diagnostic Proteomics | Q29041901 | ||
Incidence of adverse drug reactions in hospitalized patients: a meta-analysis of prospective studies | Q29616299 | ||
Mass spectrometry as a diagnostic and a cancer biomarker discovery tool: opportunities and potential limitations | Q30751781 | ||
A prototype methodology combining surface-enhanced laser desorption/ionization protein chip technology and artificial neural network algorithms to predict the chemoresponsiveness of breast cancer cell lines exposed to Paclitaxel and Doxorubicin unde | Q30788689 | ||
Proteomic analysis of differential protein expression in primary hepatocytes induced by EGF, tumour necrosis factor alpha or the peroxisome proliferator nafenopin. | Q30886686 | ||
Predictive models of hepatotoxicity using gene expression data from primary rat hepatocytes | Q31079345 | ||
CEBS--Chemical Effects in Biological Systems: a public data repository integrating study design and toxicity data with microarray and proteomics data. | Q31134298 | ||
Evaluation of serum protein profiling by surface-enhanced laser desorption/ionization time-of-flight mass spectrometry for the detection of prostate cancer: I. Assessment of platform reproducibility | Q31136536 | ||
Imaging mass spectrometry: principles and potentials | Q33213530 | ||
Correcting common errors in identifying cancer-specific serum peptide signatures | Q33221189 | ||
Proteomic approach to study the cytotoxicity of dioscin (saponin). | Q33237029 | ||
Microarrays and toxicology: the advent of toxicogenomics | Q33594789 | ||
Genomic analysis | Q33884928 | ||
Genomics and proteomics: the new millennium of drug discovery and development | Q34198848 | ||
The ABC's (and XYZ's) of peptide sequencing | Q34344848 | ||
Toxicology and genetic toxicology in the new era of "toxicogenomics": impact of "-omics" technologies | Q34502685 | ||
Use of proteomics for the discovery of early markers of drug toxicity. | Q34698617 | ||
Relative quantification of proteins in human cerebrospinal fluids by MS/MS using 6-plex isobaric tags | Q34756963 | ||
Adapting arrays and lab-on-a-chip technology for proteomics | Q34775306 | ||
The role of proteomics in toxicology: identification of biomarkers of toxicity by protein expression analysis | Q34780567 | ||
Protein arrays: the current state-of-the-art | Q35053985 | ||
Recent developments in protein microarray technology | Q35060489 | ||
Protein analysis on a proteomic scale | Q35084572 | ||
Generation of bioreagents for protein chips | Q35574632 | ||
Progress in applying genomics in drug development | Q35749343 | ||
DNA microarrays as a tool in toxicogenomics | Q35768455 | ||
Toxicoproteomics: proteomics applied to toxicology and pathology | Q35973576 | ||
Drug-induced oxidative stress in rat liver from a toxicogenomics perspective | Q36176702 | ||
How can toxicogenomics inform risk assessment? | Q36180126 | ||
Toxicogenomics in risk assessment: applications and needs | Q36284819 | ||
Proteomics approach to illustrate drug action mechanisms. | Q36740592 | ||
Chemical and pathway proteomics: powerful tools for oncology drug discovery and personalized health care. | Q37234005 | ||
Acute molecular markers of rodent hepatic carcinogenesis identified by transcription profiling | Q38422575 | ||
Prediction of compound signature using high density gene expression profiling | Q38456725 | ||
Admissions caused by adverse drug events to internal medicine and emergency departments in hospitals: a longitudinal population-based study | Q39608974 | ||
Proteomic analysis of chromium cytotoxicity in cultured rat lung epithelial cells | Q39970899 | ||
Identification of in vitro protein biomarkers of idiosyncratic liver toxicity | Q40512122 | ||
A toxicogenomic approach to drug-induced phospholipidosis: analysis of its induction mechanism and establishment of a novel in vitro screening system | Q40519669 | ||
An information-intensive approach to the molecular pharmacology of cancer. | Q41134023 | ||
Simultaneous measurement of hundreds of liver proteins: application in assessment of liver function | Q41137503 | ||
EDGE: a centralized resource for the comparison, analysis, and distribution of toxicogenomic information | Q42645749 | ||
Discriminating the molecular basis of hepatotoxicity using the large-scale characteristic molecular signatures of toxicants by expression profiling analysis | Q43560308 | ||
Microarray analysis of hepatotoxins in vitro reveals a correlation between gene expression profiles and mechanisms of toxicity | Q43588948 | ||
RNA expression in the early characterization of hepatotoxicants in Wistar rats by high-density DNA microarrays | Q43601218 | ||
Prediction of torsade-causing potential of drugs by support vector machine approach. | Q44771784 | ||
A novel method for visualizing nuclear hormone receptor networks relevant to drug metabolism | Q45193691 | ||
In vivo hepatotoxicity study of rats in comparison with in vitro hepatotoxicity screening system | Q46990864 | ||
Web-based tools for mining the NCI databases for anticancer drug discovery. | Q47245928 | ||
ProteoChip: a highly sensitive protein microarray prepared by a novel method of protein immobilization for application of protein-protein interaction studies. | Q51598544 | ||
Profiling the hepatic effects of flutamide in rats: a microarray comparison with classical aryl hydrocarbon receptor ligands and atypical CYP1A inducers. | Q51810783 | ||
Toxicogenomics strategies for predicting drug toxicity. | Q51930594 | ||
Applying toxicogenomics in mechanistic and predictive toxicology. | Q53627418 | ||
Protein labeling by iTRAQ: A new tool for quantitative mass spectrometry in proteome research | Q57830708 | ||
P433 | issue | 1 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 29-37 | |
P577 | publication date | 2009-01-01 | |
P1433 | published in | Expert Opinion on Drug Metabolism & Toxicology | Q5421205 |
P1476 | title | Genomic and proteomic approaches for predicting toxicity and adverse drug reactions | |
P478 | volume | 5 |
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Q34296800 | The determination and interpretation of the therapeutic index in drug development |
Q37767386 | The future of toxicity testing |
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