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5 - Experimental units

from Part II - First subject

Published online by Cambridge University Press:  05 November 2012

R. Mead
Affiliation:
University of Reading
S. G. Gilmour
Affiliation:
University of Southampton
A. Mead
Affiliation:
University of Warwick
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Summary

Preliminary examples

(a) Gene expression studies using spotted microarray technologies allow the comparison of gene transcription responses for different experimental samples, such as plant samples taken from different plant lines (a wild-type and lines with different genetic mutations), having been exposed to different environmental conditions or inoculated with a pathogen, and possibly collected at different times after exposure or incoluation. Each microarray contains probes (spots) for a large number (many thousands) of genes, with these probes arranged in a rectangular grid within the microarray. Some microarray technologies only allow one sample to be hybridised to each array, but others (multichannel systems) allow a mixture of two (or more) samples to be hybridised to the array, with the samples being differentially labelled (using fluorescent dyes) prior to being mixed, and separate responses being measured for each of the fluorescent labels. Scientific interest is in both the patterns of gene expression measured for each probe across experimental samples, and in the relationships between gene expression responses measured for different probes within and between experimental samples. For multichannel systems, generally each combination of array and channel might be considered as the experimental unit, though considering the probe (gene) as a ‘treatment’ (as some analysis approaches do) suggests that each spot should be considered as the experimental unit. An added complication in most gene expression microarray studies is that the experimental samples will have been obtained from a field, glasshouse or controlled environment experiment, so that the design of this earlier experiment, and the various processing steps between initial experimental sample and microarray sample, should be considered in determining the structure of the microarray experiment. Similar issues arise with other ‘high throughput’ technologies used in molecular biology studies.

Type
Chapter
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Statistical Principles for the Design of Experiments
Applications to Real Experiments
, pp. 107 - 123
Publisher: Cambridge University Press
Print publication year: 2012

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  • Experimental units
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.006
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  • Experimental units
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.006
Available formats
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Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Experimental units
  • R. Mead, University of Reading, S. G. Gilmour, University of Southampton, A. Mead, University of Warwick
  • Book: Statistical Principles for the Design of Experiments
  • Online publication: 05 November 2012
  • Chapter DOI: https://doi.org/10.1017/CBO9781139020879.006
Available formats
×