FB2026_01 , released March 12, 2026
FB2026_01 , released March 12, 2026
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Citation
Main, B.J., Bickel, R.D., McIntyre, L.M., Graze, R.M., Calabrese, P.P., Nuzhdin, S.V. (2009). Allele-specific expression assays using Solexa.  BMC Genomics 10(): 422.
FlyBase ID
FBrf0208807
Publication Type
Research paper
Abstract
Allele-specific expression (ASE) assays can be used to identify cis, trans, and cis-by-trans regulatory variation. Understanding the source of expression variation has important implications for disease susceptibility, phenotypic diversity, and adaptation. While ASE is commonly measured via relative fluorescence at a SNP, next generation sequencing provides an opportunity to measure ASE in an accurate and high-throughput manner using read counts.We introduce a Solexa-based method to perform large numbers of ASE assays using only a single lane of a Solexa flowcell. In brief, transcripts of interest, which contain a known SNP, are PCR enriched and barcoded to enable multiplexing. Then high-throughput sequencing is used to estimate allele-specific expression using sequencing counts. To validate this method, we measured the allelic bias in a dilution series and found high correlations between measured and expected values (r>0.9, p < 0.001). We applied this method to a set of 5 genes in a Drosophila simulans parental mix, F1 and introgression and found that for these genes the majority of expression divergence can be explained by cis-regulatory variation.We present a new method with the capacity to measure ASE for large numbers of assays using as little as one lane of a Solexa flowcell. This will be a valuable technique for molecular and population genetic studies, as well as for verification of genome-wide data sets.
PubMed ID
PubMed Central ID
PMC2749874 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    BMC Genomics
    Title
    BMC Genomics
    Publication Year
    2001-
    ISBN/ISSN
    1471-2164
    Data From Reference
    Genes (2)