Dataset Information

Global analysis of allele-specific expression in Arabidopsis thaliana.

ABSTRACT: Gene expression is a complex trait determined by various genetic and nongenetic factors. Among the genetic factors, allelic difference may play a critical role in gene regulation. In this study we globally dissected cis (allelic) and trans sources of genetic variation in F(1) hybrids between two Arabidopsis thaliana wild accessions, Columbia (Col) and Vancouver (Van), using a new high-density SNP-tiling array. This array tiles the whole genome with 35-bp resolution and interrogates 250,000 SNPs identified from resequencing of 20 diverse A. thaliana strains. Quantitative assessment of 12,311 genes identified 3811 genes differentially expressed between parents, 1665 genes with allele-specific expression, and 1688 genes controlled by composite trans-regulatory variation. Loci with cis- or trans-regulatory variation were mapped onto sequence polymorphisms, epigenetic modifications, and transcriptional specificity. Genes regulated in cis tend to be located in polymorphic chromosomal regions, are preferentially associated with repressive epigenetic marks, and exhibit high tissue expression specificity. Genes that vary due to trans regulation reside in relatively conserved chromosome regions, show activating epigenetic marks and generally constitutive gene expression. Our findings demonstrate a method of global functional characterization of allele-specific expression and highlight that chromatin structure is intertwined with evolution of cis- and trans-regulatory variation.

SUBMITTER: Zhang X

PROVIDER: S-EPMC2728882 | biostudies-other | 2009 Aug

REPOSITORIES: biostudies-other

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Global analysis of allele-specific expression in Arabidopsis thaliana.

Zhang Xu X Borevitz Justin O JO

Genetics 20090527 4

Gene expression is a complex trait determined by various genetic and nongenetic factors. Among the genetic factors, allelic difference may play a critical role in gene regulation. In this study we globally dissected cis (allelic) and trans sources of genetic variation in F(1) hybrids between two Arabidopsis thaliana wild accessions, Columbia (Col) and Vancouver (Van), using a new high-density SNP-tiling array. This array tiles the whole genome with 35-bp resolution and interrogates 250,000 SNPs ...[more]

PMID: 19474198

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Project description:BACKGROUND:The significant mortality associated with breast cancer (BCa) suggests a need to improve current research strategies to identify new genes that predispose women to breast cancer. Differential allele-specific expression (DASE) has been shown to contribute to phenotypic variables in humans and recently to the pathogenesis of cancer. We previously reported that nonsense-mediated mRNA decay (NMD) could lead to DASE of BRCA1/2, which is associated with elevated susceptibility to breast cancer. In addition to truncation mutations, multiple genetic and epigenetic factors can contribute to DASE, and we propose that DASE is a functional index for cis-acting regulatory variants and pathogenic mutations, and that global analysis of DASE in breast cancer precursor tissues can be used to identify novel causative alleles for breast cancer susceptibility. RESULTS:To test our hypothesis, we employed the Illumina(®) Omni1-Quad BeadChip in paired genomic DNA (gDNA) and double-stranded cDNA (ds-cDNA) samples prepared from eight BCa patient-derived normal mammary epithelial lines (HMEC). We filtered original array data according to heterozygous genotype calls and calculated DASE values using the Log ratio of cDNA allele intensity, which was normalized to the corresponding gDNA. We developed two statistical methods, SNP- and gene-based approaches, which allowed us to identify a list of 60 candidate DASE loci (DASE ? 2.00, P ? 0.01, FDR ? 0.05) by both methods. Ingenuity Pathway Analysis of DASE loci revealed one major breast cancer-relevant interaction network, which includes two known cancer causative genes, ZNF331 (DASE = 2.31, P = 0.0018, FDR = 0.040) and USP6 (DASE = 4.80, P = 0.0013, FDR = 0.013), and a breast cancer causative gene, DMBT1 (DASE=2.03, P = 0.0017, FDR = 0.014). Sequence analysis of a 5' RACE product of DMBT1 demonstrated that rs2981745, a putative breast cancer risk locus, appears to be one of the causal variants leading to DASE in DMBT1. CONCLUSIONS:Our study demonstrated for the first time that global DASE analysis is a powerful new approach to identify breast cancer risk allele(s).

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Global analysis of allele-specific expression in Arabidopsis thaliana.

Publications

Global analysis of allele-specific expression in Arabidopsis thaliana.

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