From genome-wide arrays to tailor-made biomarker readout - Progress towards routine analysis of skin sensitizing chemicals with GARD.
暂无分享,去创建一个
Malin Lindstedt | Andy Forreryd | Tim Lindberg | Henrik Johansson | M. Lindstedt | A. Forreryd | H. Johansson | T. Lindberg | K. Zeller | Kathrin S Zeller
[1] M. Lindstedt,et al. Evaluation of high throughput gene expression platforms using a genomic biomarker signature for prediction of skin sensitization , 2014, BMC Genomics.
[2] R. Saracci,et al. Describing the validity of carcinogen screening tests. , 1979, British Journal of Cancer.
[3] Coralie Dumont,et al. Analysis of the Local Lymph Node Assay (LLNA) variability for assessing the prediction of skin sensitisation potential and potency of chemicals with non-animal approaches. , 2016, Toxicology in vitro : an international journal published in association with BIBRA.
[4] Robert Landsiedel,et al. Putting the parts together: combining in vitro methods to test for skin sensitizing potentials. , 2012, Regulatory toxicology and pharmacology : RTP.
[5] C. Borrebaeck,et al. Prediction of Chemical Respiratory Sensitizers Using GARD, a Novel In Vitro Assay Based on a Genomic Biomarker Signature , 2015, PloS one.
[6] Jennifer L. Osborn,et al. Direct multiplexed measurement of gene expression with color-coded probe pairs , 2008, Nature Biotechnology.
[7] H. Maibach,et al. Prevalence of patch test results from 1970 to 2002 in a multi‐centre population in North America (NACDG) , 2007, Contact dermatitis.
[8] Malin Lindstedt,et al. The GARD assay for assessment of chemical skin sensitizers. , 2013, Toxicology in vitro : an international journal published in association with BIBRA.
[9] R J Fielder,et al. Local lymph node assay - validation, conduct and use in practice. , 2002, Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association.
[10] Ian Kimber,et al. Compilation of Historical Local Lymph Node Data for Evaluation of Skin Sensitization Alternative Methods , 2005, Dermatitis : contact, atopic, occupational, drug.
[11] Takao Ashikaga,et al. In silico risk assessment for skin sensitization using artificial neural network analysis. , 2015, The Journal of toxicological sciences.
[12] C. Hansson,et al. Chemical changes in rubber allergens during vulcanization , 2007, Contact dermatitis.
[13] Z. Szallasi,et al. Reliability and reproducibility issues in DNA microarray measurements. , 2006, Trends in genetics : TIG.
[14] Takao Ashikaga,et al. Predictive performance for human skin sensitizing potential of the human cell line activation test (h‐CLAT) , 2011, Contact dermatitis.
[15] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[16] J. Geier,et al. Occupational rubber glove allergy: results of the Information Network of Departments of Dermatology (IVDK), 1995–2001 , 2003, Contact dermatitis.
[17] Corinna Cortes,et al. Support-Vector Networks , 1995, Machine Learning.
[18] A. M. Api,et al. Allergic contact dermatitis: epidemiology, molecular mechanisms, in vitro methods and regulatory aspects , 2011, Cellular and Molecular Life Sciences.
[19] Allan Linneberg,et al. The epidemiology of contact allergy in the general population – prevalence and main findings , 2007, Contact dermatitis.
[20] Xiaoqian Jiang,et al. Doubly Optimized Calibrated Support Vector Machine (DOC-SVM): An Algorithm for Joint Optimization of Discrimination and Calibration , 2012, PloS one.
[21] D. Murphy. Gene expression studies using microarrays: principles, problems, and prospects. , 2002, Advances in physiology education.
[22] J. Bailar,et al. Toxicity Testing in the 21st Century: A Vision and a Strategy , 2010, Journal of toxicology and environmental health. Part B, Critical reviews.
[23] Thomas Lengauer,et al. ROCR: visualizing classifier performance in R , 2005, Bioinform..
[24] Andreas Schepky,et al. Genomic allergen rapid detection in-house validation--a proof of concept. , 2014, Toxicological sciences : an official journal of the Society of Toxicology.
[25] C. Svedman,et al. Reaction profile in patch testing with allergens formed during vulcanization of rubber , 2014, Contact dermatitis.
[26] Cedric E. Ginestet. ggplot2: Elegant Graphics for Data Analysis , 2011 .
[27] G Frank Gerberick,et al. Allergic Contact Dermatitis , 1998, Springer Berlin Heidelberg.
[28] Nicolas Servant,et al. A comprehensive evaluation of normalization methods for Illumina high-throughput RNA sequencing data analysis , 2013, Briefings Bioinform..
[29] Martina Klaric,et al. Systematic evaluation of non-animal test methods for skin sensitisation safety assessment. , 2015, Toxicology in vitro : an international journal published in association with BIBRA.
[30] Takao Ashikaga,et al. Test battery with the human cell line activation test, direct peptide reactivity assay and DEREK based on a 139 chemical data set for predicting skin sensitizing potential and potency of chemicals , 2015, Journal of applied toxicology : JAT.
[31] A. Kansky,et al. Increase in contact allergy to fragrances: patch‐test results 1989–1998 , 2000, Contact dermatitis.
[32] B H Margolin,et al. ICCVAM evaluation of the murine local lymph node assay. Data analyses completed by the National Toxicology Program Interagency Center for the Evaluation of Alternative Toxicological Methods. , 2001, Regulatory toxicology and pharmacology : RTP.
[33] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[34] Andreas Natsch,et al. The Nrf2-Keap1-ARE toxicity pathway as a cellular sensor for skin sensitizers--functional relevance and a hypothesis on innate reactions to skin sensitizers. , 2010, Toxicological sciences : an official journal of the Society of Toxicology.
[35] Nathalie Alépée,et al. The Myeloid U937 Skin Sensitization Test (U-SENS) addresses the activation of dendritic cell event in the adverse outcome pathway for skin sensitization. , 2015, Toxicology in vitro : an international journal published in association with BIBRA.
[36] Lucila Ohno-Machado,et al. The use of receiver operating characteristic curves in biomedical informatics , 2005, J. Biomed. Informatics.
[37] H. Dickel,et al. Occupational skin diseases in Northern Bavaria between 1990 and 1999: a population‐based study , 2001, The British journal of dermatology.
[38] Petra Kern,et al. A dataset on 145 chemicals tested in alternative assays for skin sensitization undergoing prevalidation , 2013, Journal of applied toxicology : JAT.
[39] Malin Lindstedt,et al. A genomic biomarker signature can predict skin sensitizers using a cell-based in vitro alternative to animal tests , 2011, BMC Genomics.
[40] F. Speleman,et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes , 2002, Genome Biology.
[41] H. Sakaguchi,et al. Development of an in vitro skin sensitization test using human cell lines: the human Cell Line Activation Test (h-CLAT). I. Optimization of the h-CLAT protocol. , 2006, Toxicology in vitro : an international journal published in association with BIBRA.
[42] Max Kuhn,et al. caret: Classification and Regression Training , 2015 .
[43] Setsuya Aiba,et al. Skin sensitization risk assessment model using artificial neural network analysis of data from multiple in vitro assays. , 2014, Toxicology in vitro : an international journal published in association with BIBRA.
[44] Hadley Wickham,et al. ggplot2 - Elegant Graphics for Data Analysis (2nd Edition) , 2017 .
[45] G Frank Gerberick,et al. Development of a peptide reactivity assay for screening contact allergens. , 2004, Toxicological sciences : an official journal of the Society of Toxicology.
[46] Andy Liaw,et al. Classification and Regression by randomForest , 2007 .
[47] Judy Strickland,et al. Bayesian integrated testing strategy (ITS) for skin sensitization potency assessment: a decision support system for quantitative weight of evidence and adaptive testing strategy , 2015, Archives of Toxicology.
[48] L. Parish. Test concentrations and vehicles for 4350 chemicals, 3rd ed., DeGroot AC. Acdegroot publishing, Wapserveen, The Netherlands (2008), 455 pp; List price: €129.95 , 2010 .
[49] Claus Lindbjerg Andersen,et al. Normalization of Real-Time Quantitative Reverse Transcription-PCR Data: A Model-Based Variance Estimation Approach to Identify Genes Suited for Normalization, Applied to Bladder and Colon Cancer Data Sets , 2004, Cancer Research.
[50] Steven R. Cohen,et al. The relationship between atopic dermatitis and contact dermatitis. , 2003, Clinics in dermatology.
[51] Malin Lindstedt,et al. Skin sensitizers differentially regulate signaling pathways in MUTZ-3 cells in relation to their individual potency , 2014, BMC Pharmacology and Toxicology.
[52] Donald Y M Leung,et al. Allergic skin diseases. , 2010, The Journal of allergy and clinical immunology.
[53] Peng Liang. MAQC papers over the cracks , 2007, Nature Biotechnology.