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Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas

Genomic imprinting is an epigenetic mechanism that results in allele-specific expression (ASE) based on the parent of origin. It is known to play a role in the prenatal and postnatal allocation of maternal resources in mammals. ASE detected by whole transcriptome RNA-seq (wht-RNAseq) has been widely...

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Autores principales: Wu, Weisheng, Lovett, Jennie L, Shedden, Kerby, Strassmann, Beverly I, Vincenz, Claudius
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496276/
https://www.ncbi.nlm.nih.gov/pubmed/34009305
http://dx.doi.org/10.1093/g3journal/jkab176
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author Wu, Weisheng
Lovett, Jennie L
Shedden, Kerby
Strassmann, Beverly I
Vincenz, Claudius
author_facet Wu, Weisheng
Lovett, Jennie L
Shedden, Kerby
Strassmann, Beverly I
Vincenz, Claudius
author_sort Wu, Weisheng
collection PubMed
description Genomic imprinting is an epigenetic mechanism that results in allele-specific expression (ASE) based on the parent of origin. It is known to play a role in the prenatal and postnatal allocation of maternal resources in mammals. ASE detected by whole transcriptome RNA-seq (wht-RNAseq) has been widely used to analyze imprinted genes using reciprocal crosses in mice to generate large numbers of informative SNPs. Studies in humans are more challenging due to the paucity of SNPs and the poor preservation of RNA in term placentas and other tissues. Targeted RNA-seq (tar-RNAseq) can potentially mitigate these challenges by focusing sequencing resources on the regions of interest in the transcriptome. Here, we compared tar-RNAseq and wht-RNAseq in a study of ASE in known imprinted genes in placental tissue collected from a healthy human cohort in Mali, West Africa. As expected, tar-RNAseq substantially improved the coverage of SNPs. Compared to wht-RNAseq, tar-RNAseq produced on average four times more SNPs in twice as many genes per sample and read depth at the SNPs increased fourfold. In previous research on humans, discordant ASE values for SNPs of the same gene have limited the ability to accurately quantify ASE. We show that tar-RNAseq reduces this limitation as it unexpectedly increased the concordance of ASE between SNPs of the same gene, even in cases of degraded RNA. Studies aimed at discovering associations between individual variation in ASE and phenotypes in mammals and flowering plants will benefit from the improved power and accuracy of tar-RNAseq.
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spelling pubmed-84962762021-10-07 Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas Wu, Weisheng Lovett, Jennie L Shedden, Kerby Strassmann, Beverly I Vincenz, Claudius G3 (Bethesda) Investigation Genomic imprinting is an epigenetic mechanism that results in allele-specific expression (ASE) based on the parent of origin. It is known to play a role in the prenatal and postnatal allocation of maternal resources in mammals. ASE detected by whole transcriptome RNA-seq (wht-RNAseq) has been widely used to analyze imprinted genes using reciprocal crosses in mice to generate large numbers of informative SNPs. Studies in humans are more challenging due to the paucity of SNPs and the poor preservation of RNA in term placentas and other tissues. Targeted RNA-seq (tar-RNAseq) can potentially mitigate these challenges by focusing sequencing resources on the regions of interest in the transcriptome. Here, we compared tar-RNAseq and wht-RNAseq in a study of ASE in known imprinted genes in placental tissue collected from a healthy human cohort in Mali, West Africa. As expected, tar-RNAseq substantially improved the coverage of SNPs. Compared to wht-RNAseq, tar-RNAseq produced on average four times more SNPs in twice as many genes per sample and read depth at the SNPs increased fourfold. In previous research on humans, discordant ASE values for SNPs of the same gene have limited the ability to accurately quantify ASE. We show that tar-RNAseq reduces this limitation as it unexpectedly increased the concordance of ASE between SNPs of the same gene, even in cases of degraded RNA. Studies aimed at discovering associations between individual variation in ASE and phenotypes in mammals and flowering plants will benefit from the improved power and accuracy of tar-RNAseq. Oxford University Press 2021-05-19 /pmc/articles/PMC8496276/ /pubmed/34009305 http://dx.doi.org/10.1093/g3journal/jkab176 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Genetics Society of America. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Investigation
Wu, Weisheng
Lovett, Jennie L
Shedden, Kerby
Strassmann, Beverly I
Vincenz, Claudius
Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title_full Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title_fullStr Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title_full_unstemmed Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title_short Targeted RNA-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
title_sort targeted rna-seq improves efficiency, resolution, and accuracy of allele specific expression for human term placentas
topic Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8496276/
https://www.ncbi.nlm.nih.gov/pubmed/34009305
http://dx.doi.org/10.1093/g3journal/jkab176
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