qPCR corroboration of an RNA-Seq experiment

This fileset includes data on qPCR corroboration of an RNA-Seq experiment published in Comparative Biochemistry and Physiology Part D: Genomics and Proteomics: Characterizing short read sequencing for gene discovery and RNA-Seq analysis in Crassostrea gigas (Gavery & Roberts 2012). In this study...

Full description

Bibliographic Details
Main Authors: Gavery, Mackenzie, Roberts, Steven, White, Samuel
Format: Dataset
Language:unknown
Published: figshare 2013
Subjects:
Online Access:https://dx.doi.org/10.6084/m9.figshare.683879
https://figshare.com/articles/dataset/qPCR_corroboration_of_an_RNA_Seq_experiment_published_in_BMC_Genomics_Characterizing_short_read_sequencing_for_gene_discovery_and_RNA_Seq_analysis_in_Crassostrea_gigas_Gavery_Roberts_2012_/683879
id ftdatacite:10.6084/m9.figshare.683879
record_format openpolar
spelling ftdatacite:10.6084/m9.figshare.683879 2023-05-15T15:58:48+02:00 qPCR corroboration of an RNA-Seq experiment Gavery, Mackenzie Roberts, Steven White, Samuel 2013 https://dx.doi.org/10.6084/m9.figshare.683879 https://figshare.com/articles/dataset/qPCR_corroboration_of_an_RNA_Seq_experiment_published_in_BMC_Genomics_Characterizing_short_read_sequencing_for_gene_discovery_and_RNA_Seq_analysis_in_Crassostrea_gigas_Gavery_Roberts_2012_/683879 unknown figshare Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 CC-BY Molecular Biology Marine Biology dataset Dataset 2013 ftdatacite https://doi.org/10.6084/m9.figshare.683879 2021-11-05T12:55:41Z This fileset includes data on qPCR corroboration of an RNA-Seq experiment published in Comparative Biochemistry and Physiology Part D: Genomics and Proteomics: Characterizing short read sequencing for gene discovery and RNA-Seq analysis in Crassostrea gigas (Gavery & Roberts 2012). In this study we wanted to investigate how qPCR technology using individuals corroborated with RNA-seq analysis of pooled individuals. Overall, two general trends were observed. First, directionality of expression was congruent for a majority of the assayed genes. For those targets that were not in agreement, the difference in expression between the samples was within 2 fold. This observation is consistent with previous studies examining the correlation between RNA-seq and qPCR (e.g. Marioni et al., 2008, Beane et al., 2011). Second, the fold difference between samples was generally larger by RNA-seq analysis. For example, for all 4 genes determined to be significantly different by both analyses (DPGN, GSPA, GP17A and HMG2) the fold difference was larger for the RNA-seq analysis than for qPCR. Previous studies have also indicated that RNA-seq analysis reports larger fold differences than qPCR or microarray analysis (Hoen et al., 2008). The genes identified as not significantly different (CALL, GNRR2 and TIMP3) using RNA-seq had the lowest number of mapped reads. Aside from these general trends, there were differences observed between between these orthologous methods. There could be multiple explanations for these discrepancies, which are described. Dataset Crassostrea gigas DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Molecular Biology
Marine Biology
spellingShingle Molecular Biology
Marine Biology
Gavery, Mackenzie
Roberts, Steven
White, Samuel
qPCR corroboration of an RNA-Seq experiment
topic_facet Molecular Biology
Marine Biology
description This fileset includes data on qPCR corroboration of an RNA-Seq experiment published in Comparative Biochemistry and Physiology Part D: Genomics and Proteomics: Characterizing short read sequencing for gene discovery and RNA-Seq analysis in Crassostrea gigas (Gavery & Roberts 2012). In this study we wanted to investigate how qPCR technology using individuals corroborated with RNA-seq analysis of pooled individuals. Overall, two general trends were observed. First, directionality of expression was congruent for a majority of the assayed genes. For those targets that were not in agreement, the difference in expression between the samples was within 2 fold. This observation is consistent with previous studies examining the correlation between RNA-seq and qPCR (e.g. Marioni et al., 2008, Beane et al., 2011). Second, the fold difference between samples was generally larger by RNA-seq analysis. For example, for all 4 genes determined to be significantly different by both analyses (DPGN, GSPA, GP17A and HMG2) the fold difference was larger for the RNA-seq analysis than for qPCR. Previous studies have also indicated that RNA-seq analysis reports larger fold differences than qPCR or microarray analysis (Hoen et al., 2008). The genes identified as not significantly different (CALL, GNRR2 and TIMP3) using RNA-seq had the lowest number of mapped reads. Aside from these general trends, there were differences observed between between these orthologous methods. There could be multiple explanations for these discrepancies, which are described.
format Dataset
author Gavery, Mackenzie
Roberts, Steven
White, Samuel
author_facet Gavery, Mackenzie
Roberts, Steven
White, Samuel
author_sort Gavery, Mackenzie
title qPCR corroboration of an RNA-Seq experiment
title_short qPCR corroboration of an RNA-Seq experiment
title_full qPCR corroboration of an RNA-Seq experiment
title_fullStr qPCR corroboration of an RNA-Seq experiment
title_full_unstemmed qPCR corroboration of an RNA-Seq experiment
title_sort qpcr corroboration of an rna-seq experiment
publisher figshare
publishDate 2013
url https://dx.doi.org/10.6084/m9.figshare.683879
https://figshare.com/articles/dataset/qPCR_corroboration_of_an_RNA_Seq_experiment_published_in_BMC_Genomics_Characterizing_short_read_sequencing_for_gene_discovery_and_RNA_Seq_analysis_in_Crassostrea_gigas_Gavery_Roberts_2012_/683879
genre Crassostrea gigas
genre_facet Crassostrea gigas
op_rights Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.6084/m9.figshare.683879
_version_ 1766394561294237696