Literature DB >> 17646312

Biases induced by pooling samples in microarray experiments.

Tristan Mary-Huard1, Jean-Jacques Daudin, Michela Baccini, Annibale Biggeri, Avner Bar-Hen.   

Abstract

MOTIVATION: If there is insufficient RNA from the tissues under investigation from one organism, then it is common practice to pool RNA. An important question is to determine whether pooling introduces biases, which can lead to inaccurate results. In this article, we describe two biases related to pooling, from a theoretical as well as a practical point of view.
RESULTS: We model and quantify the respective parts of the pooling bias due to the log transform as well as the bias due to biological averaging of the samples. We also evaluate the impact of the bias on the statistical differential analysis of Affymetrix data.

Mesh:

Year:  2007        PMID: 17646312     DOI: 10.1093/bioinformatics/btm182

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


  17 in total

Review 1.  Pooled biological specimens for human biomonitoring of environmental chemicals: opportunities and limitations.

Authors:  Amy L Heffernan; Lesa L Aylward; Leisa-Maree L Toms; Peter D Sly; Matthew Macleod; Jochen F Mueller
Journal:  J Expo Sci Environ Epidemiol       Date:  2013-11-06       Impact factor: 5.563

Review 2.  Fluorescence two-dimensional difference gel electrophoresis for biomaterial applications.

Authors:  Laura E McNamara; Matthew J Dalby; Mathis O Riehle; Richard Burchmore
Journal:  J R Soc Interface       Date:  2009-07-01       Impact factor: 4.118

3.  Effects of oxidative stress on sex-specific gene expression in the copepod Tigriopus californicus revealed by single individual RNA-seq.

Authors:  Ning Li; Natasha Arief; Suzanne Edmands
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2019-07-11       Impact factor: 2.674

4.  RNA isolation method for single embryo transcriptome analysis in zebrafish.

Authors:  Mark de Jong; Han Rauwerda; Oskar Bruning; Jurgo Verkooijen; Herman P Spaink; Timo M Breit
Journal:  BMC Res Notes       Date:  2010-03-16

5.  Design and performance of a turbot (Scophthalmus maximus) oligo-microarray based on ESTs from immune tissues.

Authors:  Adrián Millán; Antonio Gómez-Tato; Carlos Fernández; Belén G Pardo; José A Alvarez-Dios; Manuel Calaza; Carmen Bouza; María Vázquez; Santiago Cabaleiro; Paulino Martínez
Journal:  Mar Biotechnol (NY)       Date:  2009-10-21       Impact factor: 3.619

6.  Use of pooled samples to assess human exposure to parabens, benzophenone-3 and triclosan in Queensland, Australia.

Authors:  A L Heffernan; C Baduel; L M L Toms; A M Calafat; X Ye; P Hobson; S Broomhall; J F Mueller
Journal:  Environ Int       Date:  2015-09-11       Impact factor: 9.621

7.  Bisphenol A exposure is not associated with area-level socioeconomic index in Australian children using pooled urine samples.

Authors:  A L Heffernan; P D Sly; L M L Toms; P Hobson; J F Mueller
Journal:  Environ Sci Pollut Res Int       Date:  2014-04-16       Impact factor: 4.223

8.  Monitoring exposure to polycyclic aromatic hydrocarbons in an Australian population using pooled urine samples.

Authors:  Phong K Thai; Amy L Heffernan; Leisa-Maree L Toms; Zheng Li; Antonia M Calafat; Peter Hobson; Sara Broomhall; Jochen F Mueller
Journal:  Environ Int       Date:  2015-12-14       Impact factor: 9.621

9.  Concentrations of phthalates and DINCH metabolites in pooled urine from Queensland, Australia.

Authors:  M J Gomez Ramos; A L Heffernan; L M L Toms; A M Calafat; X Ye; P Hobson; S Broomhall; J F Mueller
Journal:  Environ Int       Date:  2016-01-04       Impact factor: 9.621

10.  poolMC: smart pooling of mRNA samples in microarray experiments.

Authors:  Raghunandan M Kainkaryam; Angela Bruex; Anna C Gilbert; John Schiefelbein; Peter J Woolf
Journal:  BMC Bioinformatics       Date:  2010-06-02       Impact factor: 3.169

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.