2012
DOI: 10.1016/j.cell.2012.10.012
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Revisiting Global Gene Expression Analysis

Abstract: Summary Gene expression analysis is a widely used and powerful method for investigating the transcriptional behavior of biological systems, for classifying cell states in disease and for many other purposes. Recent studies indicate that common assumptions currently embedded in experimental and analytical practices can lead to misinterpretation of global gene expression data. We discuss these assumptions and describe solutions that should minimize erroneous interpretation of gene expression data from multiple a… Show more

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Cited by 540 publications
(566 citation statements)
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“…As reported here, it was remarkable how few mRNAs were significantly dysregulated at least twofold by the CTD mutations S2A, Y1F, S7A, and T4A, which affected only 4.4%, 1.4%, 1.2%, and 0.14% of the annotated fission yeast protein-coding RNAs, respectively. We note that the method of RNA-seq analysis used here, whereby equal amounts of RNA from different fission yeast strains are subjected to high-throughput sequencing, assumes that the fission yeast strains analyzed produce similar levels of RNA per cell; we cannot exclude the possibility that a CTD mutation might elicit a global increase or decrement in the steady-state levels of all, or most, RNAs per yeast cell, an issue that has been discussed in relation to gene expression analyses in metazoan cells (28). Nonetheless, the analysis is highly instructive with respect to the selective effect of CTD mutations.…”
Section: Discussionmentioning
confidence: 99%
“…As reported here, it was remarkable how few mRNAs were significantly dysregulated at least twofold by the CTD mutations S2A, Y1F, S7A, and T4A, which affected only 4.4%, 1.4%, 1.2%, and 0.14% of the annotated fission yeast protein-coding RNAs, respectively. We note that the method of RNA-seq analysis used here, whereby equal amounts of RNA from different fission yeast strains are subjected to high-throughput sequencing, assumes that the fission yeast strains analyzed produce similar levels of RNA per cell; we cannot exclude the possibility that a CTD mutation might elicit a global increase or decrement in the steady-state levels of all, or most, RNAs per yeast cell, an issue that has been discussed in relation to gene expression analyses in metazoan cells (28). Nonetheless, the analysis is highly instructive with respect to the selective effect of CTD mutations.…”
Section: Discussionmentioning
confidence: 99%
“…The internal reference is mixed with the experimental sample and undergoes all experimental steps following fragmentation of the chromatin, i.e., immunoprecipitation, library preparation, and sequencing. The method is related, in its principle of introducing an internal reference into each sample, to the method recently described by Loven et al (2012) to normalize RNAseq data. In that case, a synthetic RNA standard is added to each RNA sample to be analyzed in proportion to the starting number of cells, thus allowing quantification of RNA relative to starting cell number .…”
Section: A Spiking Methods To Normalize Chip-seq Experimentsmentioning
confidence: 99%
“…2 In some biological contexts, such as the mitogenic stimulation of resting B-cells, MYC enhances expression of all genes with an open chromatin structure. [3][4][5] In contrast, deregulation of MYC activates and represses more restricted sets of target genes during tumorigenesis. 6 For example, complex formation with MIZ1 (ZBTB17), which occurs predominantly at oncogenic MYC levels, mediates binding to low-affinity sites and shifts the direction of transcriptional responses at these "newly acquired" target genes toward repression.…”
Section: Introductionmentioning
confidence: 99%