Literature DB >> 16081476

Analysis of dose-response effects on gene expression data with comparison of two microarray platforms.

Jianhua Hu1, Mini Kapoor, Wei Zhang, Stanley R Hamilton, Kevin R Coombes.   

Abstract

MOTIVATION: The problems of analyzing dose effects on gene expression are gaining attention in biomedical research. A specific challenge is to detect genes with expression levels that change according to dose levels in a non-random manner, but nonetheless may be considered as potential biomarkers.
METHOD: We are among the first to formally apply a tool that uses an isotonic (monotonic) regression approach to this area of study. We introduce a test statistic to select genes with significant dose-response expression in a monotonic fashion based on a permutation procedure. We then compare the results with those achieved from the application of a likelihood ratio-based test.
RESULTS: We apply the isotonic regression approach to a study of gene expression in the RKO colon carcinoma cell line in response to varying dosage levels of the chemotherapeutic agent 5-fluorouracil. A feature of both Affymetrix and printed 75mer oligomer cDNA arrays produced from the same samples provides an opportunity to compare the two microarray platforms. AVAILABILITY: Statistical software S-plus Code to implement the method is available from the authors. CONTACT: kcoombes@mdanderson.org

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Year:  2005        PMID: 16081476     DOI: 10.1093/bioinformatics/bti592

Source DB:  PubMed          Journal:  Bioinformatics        ISSN: 1367-4803            Impact factor:   6.937


  9 in total

1.  Analysis of Correlated Gene Expression Data on Ordered Categories.

Authors:  Shyamal D Peddada; Shawn F Harris; Ori Davidov
Journal:  J Indian Soc Agric Stat       Date:  2010

2.  Cross-platform comparison of microarray data using order restricted inference.

Authors:  Florian Klinglmueller; Thomas Tuechler; Martin Posch
Journal:  Bioinformatics       Date:  2011-02-10       Impact factor: 6.937

3.  Identification of gene signatures and molecular markers for human lung cancer prognosis using an in vitro lung carcinogenesis system.

Authors:  Humam Kadara; Ludovic Lacroix; Carmen Behrens; Luisa Solis; Xuemin Gu; J Jack Lee; Eiji Tahara; Dafna Lotan; Waun Ki Hong; Ignacio I Wistuba; Reuben Lotan
Journal:  Cancer Prev Res (Phila)       Date:  2009-07-28

4.  An open-access long oligonucleotide microarray resource for analysis of the human and mouse transcriptomes.

Authors:  Kévin Le Brigand; Roslin Russell; Chimène Moreilhon; Jean-Marie Rouillard; Bernard Jost; Franck Amiot; Virginie Magnone; Christine Bole-Feysot; Philippe Rostagno; Virginie Virolle; Virginie Defamie; Philippe Dessen; Gary Williams; Paul Lyons; Géraldine Rios; Bernard Mari; Erdogan Gulari; Philippe Kastner; Xavier Gidrol; Tom C Freeman; Pascal Barbry
Journal:  Nucleic Acids Res       Date:  2006-07-19       Impact factor: 16.971

5.  Gene-signature-derived IC50s/EC50s reflect the potency of causative upstream targets and downstream phenotypes.

Authors:  Steffen Renner; Christian Bergsdorf; Rochdi Bouhelal; Magdalena Koziczak-Holbro; Andrea Marco Amati; Valerie Techer-Etienne; Ludivine Flotte; Nicole Reymann; Karen Kapur; Sebastian Hoersch; Edward James Oakeley; Ansgar Schuffenhauer; Hanspeter Gubler; Eugen Lounkine; Pierre Farmer
Journal:  Sci Rep       Date:  2020-06-15       Impact factor: 4.379

Review 6.  Transcriptomics in Toxicogenomics, Part III: Data Modelling for Risk Assessment.

Authors:  Angela Serra; Michele Fratello; Luca Cattelani; Irene Liampa; Georgia Melagraki; Pekka Kohonen; Penny Nymark; Antonio Federico; Pia Anneli Sofia Kinaret; Karolina Jagiello; My Kieu Ha; Jang-Sik Choi; Natasha Sanabria; Mary Gulumian; Tomasz Puzyn; Tae-Hyun Yoon; Haralambos Sarimveis; Roland Grafström; Antreas Afantitis; Dario Greco
Journal:  Nanomaterials (Basel)       Date:  2020-04-08       Impact factor: 5.076

7.  Transcriptional response of rat frontal cortex following acute in vivo exposure to the pyrethroid insecticides permethrin and deltamethrin.

Authors:  Joshua A Harrill; Zhen Li; Fred A Wright; Nicholas M Radio; William R Mundy; Rogelio Tornero-Velez; Kevin M Crofton
Journal:  BMC Genomics       Date:  2008-11-18       Impact factor: 3.969

8.  Toxicogenomic analysis incorporating operon-transcriptional coupling and toxicant concentration-expression response: analysis of MX-treated Salmonella.

Authors:  William O Ward; Carol D Swartz; Steffen Porwollik; Sarah H Warren; Nancy M Hanley; Geremy W Knapp; Michael McClelland; David M DeMarini
Journal:  BMC Bioinformatics       Date:  2007-10-09       Impact factor: 3.169

9.  Isotonic Regression Based-Method in Quantitative High-Throughput Screenings for Genotoxicity.

Authors:  Yosuke Fujii; Takeo Narita; Raymond Richard Tice; Shunich Takeda; Ryo Yamada
Journal:  Dose Response       Date:  2015-05-04       Impact factor: 2.658

  9 in total

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