The contributions of sex, genotype and age to transcriptional variance in Drosophila melanogaster

By Wei Jin, R. Riley, Russell D. Wolfinger, Kevin P. White, G. Passador-Gurgel, Greg Gibson. Nature Genetics, 2001

661 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/430236a3d1b7aa9f67aa2107833308d7d5528698

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Citations in the corpus

MAANOVA: A Software Package for the Analysis of Spotted cDNA Microarray Experiments (2003, methodology): “An application of mixed model ANOVA to a complex microarray experiment is described by Jin et al. (2001).”
Statistical tests for differential expression in cDNA microarray experiments (2003, methodology): “[38] experiment, where a 2 by 2 by 2 factorial design was used to investigate the effects of age, sex and genotype on RNA expression in Drosophila , the VG term captures the fixed effects of age, sex and genotype plus a sex by genotype interaction.”
Use of within-array replicate spots for assessing differential expression in microarray experiments (2005, methodology): “The technique is applicable to other situations involving mixed model analyses of microarray data such as those with technical as well as biological replication or the separate channel analyses described by Jin et al. (2001) and Wolﬁnger et al. (2001).”
Design issues for cDNA microarray experiments (2002, background): “2 ), in which each hybridization is done twice, with the dye assignments reversed in the second hybridization, are useful for reducing systematic bia”
Genetics of global gene expression (2006, background): “Subsequent studies documented abundant heritable variation in gene expression in Drosophila melanogaster”
Harnessing naturally randomized transcription to infer regulatory relationships among genes (2007, background): “Because DNA variation has a substantial and widespread effect on transcriptional variation [12-15,21-25], we show that randomizing DNA content provides a natural mechanism for randomizing RNA levels.”
Linear Models and Empirical Bayes Methods for Assessing Differential Expression in Microarray Experiments (2004, neutral): “Keywords: microarrays, empirical Bayes, linear models, hyperparameters, differential expression”
Variation in gene expression within and among natural populations (2002, neutral): “Unlike most microarray strategies (but similar to one previous stud”
The evolution of transcriptional regulation in eukaryotes. (2003, background): “…2000; Schadt et al. 2003), humans (Schadt et al. 2003), the teleost Fundulus heteroclitus (Oleksiak, Churchill, and Crawford 2002), D. melanogaster (Jin et al. 2001; Rifkin, Kim, and White 2003), Zea mays (Schadt et al. 2003), and Saccharomyces cerevisiae (Cavalieri, Townsend, and Hartl 2000; Brem…”
Local-pooled-error test for identifying differentially expressed genes with a small number of replicated microarrays (2003, methodology): “This literature includes the variance function methods of Kamb and Ramaswami (2001), Nadonet al. (2001), Durbinet al. (2002) and Linet al.”