2003
DOI: 10.1038/sj.embor.embor798
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Monitoring global messenger RNA changes in externally controlled microarray experiments

Abstract: Expression profiling is a universal tool, with a range of applications that benefit from the accurate determination of differential gene expression. To allow normalization using endogenous transcript levels, current microarray analyses assume that relatively few transcripts vary, or that any changes that occur are balanced. When normalization using endogenous genes is carried out, changes in expression levels are calculated relative to the behaviour of most of the transcripts. This does not reflect absolute ch… Show more

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Cited by 150 publications
(118 citation statements)
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“…Cell-state transitions such as maturation can dramatically alter both total RNA and mRNA content, limiting reliability of normalization with internal standards. 49,53 Using spikein controls, we measured a greatly reduced ratio of GATA1 activated to repressed genes compared with previous estimates. 35,36,51,55 This enabled us to more accurately gauge the role of BETs during GATA1-induced changes in transcription, and established BETs chiefly as transcriptional coactivators.…”
mentioning
confidence: 64%
See 1 more Smart Citation
“…Cell-state transitions such as maturation can dramatically alter both total RNA and mRNA content, limiting reliability of normalization with internal standards. 49,53 Using spikein controls, we measured a greatly reduced ratio of GATA1 activated to repressed genes compared with previous estimates. 35,36,51,55 This enabled us to more accurately gauge the role of BETs during GATA1-induced changes in transcription, and established BETs chiefly as transcriptional coactivators.…”
mentioning
confidence: 64%
“…As dramatic alterations in cell size and RNA content occur during erythroid maturation, we added external spike-in RNA controls to each sample in proportion to cell number for normalization. 49,53 Focusing first on GATA1's impact on gene expression, we plotted all transcripts from most repressed to most activated (Figure 2A). Following GATA1 addition, 5094 transcripts decreased whereas only 220 increased using stringent differential expression criteria (twofold change and Bonferroni-corrected, P , .05) (supplemental Figure 4A).…”
Section: Org Frommentioning
confidence: 99%
“…Whereas DTA accurately measures the relative rates for different RNAs within a single sample, it cannot compare rates from different samples, since the samples differ by an unknown global factor (Miller et al 2011). In standard transcriptomics, comparison between samples with different mRNA levels may be achieved by counting cells and spiking RNA standards into the samples (Holstege et al 1998;Wang et al 2002;van de Peppel et al 2003). However, such normalization does not take into account differences in cell lysis and RNA extraction efficiency, which can vary so strongly that no conclusions are possible.…”
Section: [Supplemental Materials Is Available For This Article]mentioning
confidence: 99%
“…RNA amplification and labeling were performed18 on an automated system (Caliper Life Sciences, Waltham, MA) with 3 μg total RNA from each sample. Hybridization was performed on an HS4800PRO system supplemented with QuadChambers (Tecan Benelux B.V.B.A., Giessen, the Netherlands), using 500–1000 ng labeled cRNA per channel 19. One half of the RNA was labeled with cy5 against cy3 labeled common reference RNA on dual‐channel arrays; the second half was analyzed in dye swap.…”
Section: Methodsmentioning
confidence: 99%