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GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information

Allele-specific expression (ASE) is the imbalance in transcription between maternal and paternal alleles at a locus and can be probed in single individuals using massively parallel DNA sequencing technology. Assessing ASE within a single sample provides a static picture of the ASE, but the magnitude...

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Autores principales: Edsgärd, Daniel, Iglesias, Maria Jesus, Reilly, Sarah-Jayne, Hamsten, Anders, Tornvall, Per, Odeberg, Jacob, Emanuelsson, Olof
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758070/
https://www.ncbi.nlm.nih.gov/pubmed/26887787
http://dx.doi.org/10.1038/srep21134
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author Edsgärd, Daniel
Iglesias, Maria Jesus
Reilly, Sarah-Jayne
Hamsten, Anders
Tornvall, Per
Odeberg, Jacob
Emanuelsson, Olof
author_facet Edsgärd, Daniel
Iglesias, Maria Jesus
Reilly, Sarah-Jayne
Hamsten, Anders
Tornvall, Per
Odeberg, Jacob
Emanuelsson, Olof
author_sort Edsgärd, Daniel
collection PubMed
description Allele-specific expression (ASE) is the imbalance in transcription between maternal and paternal alleles at a locus and can be probed in single individuals using massively parallel DNA sequencing technology. Assessing ASE within a single sample provides a static picture of the ASE, but the magnitude of ASE for a given transcript may vary between different biological conditions in an individual. Such condition-dependent ASE could indicate a genetic variation with a functional role in the phenotypic difference. We investigated ASE through RNA-sequencing of primary white blood cells from eight human individuals before and after the controlled induction of an inflammatory response, and detected condition-dependent and static ASE at 211 and 13021 variants, respectively. We developed a method, GeneiASE, to detect genes exhibiting static or condition-dependent ASE in single individuals. GeneiASE performed consistently over a range of read depths and ASE effect sizes, and did not require phasing of variants to estimate haplotypes. We observed condition-dependent ASE related to the inflammatory response in 19 genes, and static ASE in 1389 genes. Allele-specific expression was confirmed by validation of variants through real-time quantitative RT-PCR, with RNA-seq and RT-PCR ASE effect-size correlations r = 0.67 and r = 0.94 for static and condition-dependent ASE, respectively.
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spelling pubmed-47580702016-02-26 GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information Edsgärd, Daniel Iglesias, Maria Jesus Reilly, Sarah-Jayne Hamsten, Anders Tornvall, Per Odeberg, Jacob Emanuelsson, Olof Sci Rep Article Allele-specific expression (ASE) is the imbalance in transcription between maternal and paternal alleles at a locus and can be probed in single individuals using massively parallel DNA sequencing technology. Assessing ASE within a single sample provides a static picture of the ASE, but the magnitude of ASE for a given transcript may vary between different biological conditions in an individual. Such condition-dependent ASE could indicate a genetic variation with a functional role in the phenotypic difference. We investigated ASE through RNA-sequencing of primary white blood cells from eight human individuals before and after the controlled induction of an inflammatory response, and detected condition-dependent and static ASE at 211 and 13021 variants, respectively. We developed a method, GeneiASE, to detect genes exhibiting static or condition-dependent ASE in single individuals. GeneiASE performed consistently over a range of read depths and ASE effect sizes, and did not require phasing of variants to estimate haplotypes. We observed condition-dependent ASE related to the inflammatory response in 19 genes, and static ASE in 1389 genes. Allele-specific expression was confirmed by validation of variants through real-time quantitative RT-PCR, with RNA-seq and RT-PCR ASE effect-size correlations r = 0.67 and r = 0.94 for static and condition-dependent ASE, respectively. Nature Publishing Group 2016-02-18 /pmc/articles/PMC4758070/ /pubmed/26887787 http://dx.doi.org/10.1038/srep21134 Text en Copyright © 2016, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Edsgärd, Daniel
Iglesias, Maria Jesus
Reilly, Sarah-Jayne
Hamsten, Anders
Tornvall, Per
Odeberg, Jacob
Emanuelsson, Olof
GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title_full GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title_fullStr GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title_full_unstemmed GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title_short GeneiASE: Detection of condition-dependent and static allele-specific expression from RNA-seq data without haplotype information
title_sort geneiase: detection of condition-dependent and static allele-specific expression from rna-seq data without haplotype information
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4758070/
https://www.ncbi.nlm.nih.gov/pubmed/26887787
http://dx.doi.org/10.1038/srep21134
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