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Home › Dataset Library › An expression microarray approach for the identification of candidate metastable epialleles in the mouse genome

Dataset: An expression microarray approach for the identification of candidate metastable epialleles in the mouse genome

Genetic loci displaying environmentally responsive epigenetic marks, termed metastable epialleles, offer a solution to the paradox...

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Genetic loci displaying environmentally responsive epigenetic marks, termed metastable epialleles, offer a solution to the paradox presented by genetically identical yet phenotypically distinct individuals. The murine viable yellow agouti (Avy) locus is a well-described metastable epiallele that serves as a visual epigenetic biosensor. The Avy locus exhibits a high R-value or ratio of inter-individual (Vi) to inter-tissue (Vt) variance in gene expression, characteristic of what we term the ‘Agouti Expression Fingerprint.’ We propose a novel method for identification of candidate metastable epialleles based on the Agouti Expression Fingerprint, defining candidates as loci with R-values greater than 1.5 on expression microarray. Using Expression data from tissues of the three germ layers (liver, kidney, brain), high variance in agouti RNA levels among isogenic animals coupled with low variance among tissue types in individual animals is demonstrated. Here, we provide proof of concept for the ‘Agouti Expression Fingerprint’; the characterization of epigenetically labile loci in humans will be crucial to the development of novel screening and therapeutic targets for human disease prevention. For expression microarray studies, total RNA was isolated from liver, kidney, and brain tissue from 10 male Avy/a mice (2 per each of the 5 coat color classes) at time of weaning and coat color determination (day 22). Using Affymetrix GeneChip Mouse Genome 2.0 arrays (Santa Clara, CA), we queried the entire mouse genome for candidate metastable epialleles that display the Agouti Fingerprint. Approximately 100 of the greater than 40,000 transcripts on the mouse array displayed an expression pattern characterized as high inter-individual variation coupled with low inter-tissue variation (R-value > 1.5).

Species:
mouse

Samples:
30

Source:
E-GEOD-28559

Updated:
Dec.12, 2014

Registered:
Nov.11, 2014


Factors: (via ArrayExpress)
Sample COATCOLOR SITE
GSM707167 Yellow1 liver
GSM707168 Yellow1 kidney
GSM707169 Yellow1 brain
GSM707170 Slightly_Mottled1 liver
GSM70717 Slightly_Mottled1 kidney
GSM707172 Slightly_Mottled1 brain
GSM707173 Mottled1 liver
GSM707174 Mottled1 kidney
GSM707175 Mottled1 brain
GSM707176 Heavily_Mottled1 liver
GSM707177 Heavily_Mottled1 kidney
GSM707178 Heavily_Mottled1 brain
GSM707179 Pseudo_Ag1 liver
GSM707180 Pseudo_Ag1 kidney
GSM70718 Pseudo_Ag1 brain
GSM707182 Yellow2 liver
GSM707183 Yellow2 kidney
GSM707184 Yellow2 brain
GSM707185 Slightly_Mottled2 liver
GSM707186 Slightly_Mottled2 kidney
GSM707187 Slightly_Mottled2 brain
GSM707188 Mottled2 liver
GSM707189 Mottled2 kidney
GSM707190 Mottled2 brain
GSM70719 Heavily_Mottled2 liver
GSM707192 Heavily_Mottled2 kidney
GSM707193 Heavily_Mottled2 brain
GSM707194 Pseudo_Ag2 liver
GSM707195 Pseudo_Ag2 kidney
GSM707196 Pseudo_Ag2 brain

Tags

  • brain
  • disease
  • genome
  • kidney
  • liver

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