Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis

Next-generation sequencing of the transcriptome (RNA-Seq) is a powerful method that allows for the quantitative determination of absolute gene expression, and can be used to investigate how these levels change in response to an experimental manipulation or disease condition. The sensitivity of this...

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Main Authors: Abby L. Manthey, Anne M. Terrell, Salil A. Lachke, Shawn W. Polson, Melinda K. Duncan
Format: Article
Language:English
Published: Elsevier 2014-12-01
Series:Genomics Data
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2213596014001044
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spelling doaj-4f428123e67b4161a83bf7813c97019f2020-11-25T02:26:57ZengElsevierGenomics Data2213-59602014-12-012C36937410.1016/j.gdata.2014.10.015Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesisAbby L. Manthey0Anne M. Terrell1Salil A. Lachke2Shawn W. Polson3Melinda K. Duncan4Department of Biological Sciences, University of Delaware, Newark, DE, USADepartment of Biological Sciences, University of Delaware, Newark, DE, USADepartment of Biological Sciences, University of Delaware, Newark, DE, USACenter for Bioinformatics and Computational Biology, University of Delaware, Newark, DE, USADepartment of Biological Sciences, University of Delaware, Newark, DE, USANext-generation sequencing of the transcriptome (RNA-Seq) is a powerful method that allows for the quantitative determination of absolute gene expression, and can be used to investigate how these levels change in response to an experimental manipulation or disease condition. The sensitivity of this method allows one to analyze transcript levels of all expressed genes, including low abundance transcripts that encode important regulatory molecules, providing valuable insights into the global effects of experimental manipulations. However, this increased sensitivity can also make it challenging to ascertain which expression changes are biologically significant. Here, we describe a novel set of filtering criteria – based on biological insights and computational approaches – that were applied to prioritize genes for further study from an extensive number of differentially expressed transcripts in lenses lacking Smad interacting protein 1 (Sip1) obtained via RNA-Seq by Manthey and colleagues in Mechanisms of Development (Manthey et al., 2014). Notably, this workflow allowed an original list of over 7100 statistically significant differentially expressed genes (DEGs) to be winnowed down to 190 DEGs that likely play a biologically significant role in Sip1 function during lens development. Focusing on genes whose expression was upregulated or downregulated in a manner opposite to what normally occurs during lens development, we identified 78 genes that appear to be strongly dependent on Sip1 function. From these data (GEO accession number GSE49949), it appears that Sip1 regulates multiple genes in the lens that are generally distinct from those regulated by Sip1 in other cellular contexts, including genes whose expression is prominent in the early head ectoderm, from which the lens differentiates. Further, the analysis criteria outlined here represent a filtering scheme that can be used to prioritize genes in future RNA-Seq investigations performed at this stage of ocular lens development.http://www.sciencedirect.com/science/article/pii/S2213596014001044LensRNAseqBiological relevanceFilteringEmbryo
collection DOAJ
language English
format Article
sources DOAJ
author Abby L. Manthey
Anne M. Terrell
Salil A. Lachke
Shawn W. Polson
Melinda K. Duncan
spellingShingle Abby L. Manthey
Anne M. Terrell
Salil A. Lachke
Shawn W. Polson
Melinda K. Duncan
Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
Genomics Data
Lens
RNAseq
Biological relevance
Filtering
Embryo
author_facet Abby L. Manthey
Anne M. Terrell
Salil A. Lachke
Shawn W. Polson
Melinda K. Duncan
author_sort Abby L. Manthey
title Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
title_short Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
title_full Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
title_fullStr Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
title_full_unstemmed Development of novel filtering criteria to analyze RNA-sequencing data obtained from the murine ocular lens during embryogenesis
title_sort development of novel filtering criteria to analyze rna-sequencing data obtained from the murine ocular lens during embryogenesis
publisher Elsevier
series Genomics Data
issn 2213-5960
publishDate 2014-12-01
description Next-generation sequencing of the transcriptome (RNA-Seq) is a powerful method that allows for the quantitative determination of absolute gene expression, and can be used to investigate how these levels change in response to an experimental manipulation or disease condition. The sensitivity of this method allows one to analyze transcript levels of all expressed genes, including low abundance transcripts that encode important regulatory molecules, providing valuable insights into the global effects of experimental manipulations. However, this increased sensitivity can also make it challenging to ascertain which expression changes are biologically significant. Here, we describe a novel set of filtering criteria – based on biological insights and computational approaches – that were applied to prioritize genes for further study from an extensive number of differentially expressed transcripts in lenses lacking Smad interacting protein 1 (Sip1) obtained via RNA-Seq by Manthey and colleagues in Mechanisms of Development (Manthey et al., 2014). Notably, this workflow allowed an original list of over 7100 statistically significant differentially expressed genes (DEGs) to be winnowed down to 190 DEGs that likely play a biologically significant role in Sip1 function during lens development. Focusing on genes whose expression was upregulated or downregulated in a manner opposite to what normally occurs during lens development, we identified 78 genes that appear to be strongly dependent on Sip1 function. From these data (GEO accession number GSE49949), it appears that Sip1 regulates multiple genes in the lens that are generally distinct from those regulated by Sip1 in other cellular contexts, including genes whose expression is prominent in the early head ectoderm, from which the lens differentiates. Further, the analysis criteria outlined here represent a filtering scheme that can be used to prioritize genes in future RNA-Seq investigations performed at this stage of ocular lens development.
topic Lens
RNAseq
Biological relevance
Filtering
Embryo
url http://www.sciencedirect.com/science/article/pii/S2213596014001044
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