Literature DB >> 24478007

Inference of allele-specific expression from RNA-seq data.

Paul K Korir1, Cathal Seoighe.   

Abstract

The differential abundance of transcripts from alternative alleles of a gene, for example in a hybrid plant or an outbred natural population, can provide information about the nature of interindividual or interstrain variation in gene expression. Allele-specific expression (ASE) can result from epigenetic phenomena, such as imprinting (when the overexpressed allele is inherited consistently from one parent) or allele-specific chromatin modifications. Alternatively, DNA sequence variants in the promoter or within the transcribed region of a gene can affect the rate of transcription or the rate of decay of the transcript, respectively. The existence of this allelic variation and the insights it provides into the nature of the gene regulation are of significant interest. With the recent widespread availability of sequencing based transcriptomics, the power to detect ASE has increased; however, inference of ASE from transcriptome sequencing data is subject to several caveats and potential biases and the results need to be interpreted with care.

Mesh:

Year:  2014        PMID: 24478007     DOI: 10.1007/978-1-62703-773-0_4

Source DB:  PubMed          Journal:  Methods Mol Biol        ISSN: 1064-3745


  4 in total

1.  Next-Generation Sequencing Techniques Reveal that Genomic Imprinting Is Absent in Day-Old Gallus gallus domesticus Brains.

Authors:  Qiong Wang; Kaiyang Li; Daixi Zhang; Junying Li; Guiyun Xu; Jiangxia Zheng; Ning Yang; Lujiang Qu
Journal:  PLoS One       Date:  2015-07-10       Impact factor: 3.240

Review 2.  Genetics of gene expression in CNS.

Authors:  Ashutosh K Pandey; Robert W Williams
Journal:  Int Rev Neurobiol       Date:  2014       Impact factor: 3.230

3.  A Transcriptomic Analysis of Cave, Surface, and Hybrid Isopod Crustaceans of the Species Asellus aquaticus.

Authors:  Bethany A Stahl; Joshua B Gross; Daniel I Speiser; Todd H Oakley; Nipam H Patel; Douglas B Gould; Meredith E Protas
Journal:  PLoS One       Date:  2015-10-13       Impact factor: 3.240

4.  Event Analysis: Using Transcript Events To Improve Estimates of Abundance in RNA-seq Data.

Authors:  Jeremy R B Newman; Patrick Concannon; Manuel Tardaguila; Ana Conesa; Lauren M McIntyre
Journal:  G3 (Bethesda)       Date:  2018-08-30       Impact factor: 3.154

  4 in total

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