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Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA

BACKGROUND: RNA preparations contaminated with genomic DNA (gDNA) are frequently disregarded by RNA-seq studies. Such contamination may generate false results; however, their effect on the outcomes of RNA-seq analyses is unknown. To address this gap in our knowledge, here we added different concentr...

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Autores principales: Li, Xiangnan, Zhang, Peipei, Wang, Haijian, Yu, Ying
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351092/
https://www.ncbi.nlm.nih.gov/pubmed/35922750
http://dx.doi.org/10.1186/s12864-022-08785-1
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author Li, Xiangnan
Zhang, Peipei
Wang, Haijian
Yu, Ying
author_facet Li, Xiangnan
Zhang, Peipei
Wang, Haijian
Yu, Ying
author_sort Li, Xiangnan
collection PubMed
description BACKGROUND: RNA preparations contaminated with genomic DNA (gDNA) are frequently disregarded by RNA-seq studies. Such contamination may generate false results; however, their effect on the outcomes of RNA-seq analyses is unknown. To address this gap in our knowledge, here we added different concentrations of gDNA to total RNA preparations and subjected them to RNA-seq analysis. RESULTS: We found that the contaminating gDNA altered the quantification of transcripts at relatively high concentrations. Differentially expressed genes (DEGs) resulting from gDNA contamination may therefore contribute to higher rates of false enrichment of pathways compared with analogous samples lacking numerous DEGs. A strategy was developed to correct gene expression levels in gDNA-contaminated RNA samples, which assessed the magnitude of contamination to improve the reliability of the results. CONCLUSIONS: Our study indicates that caution must be exercised when interpreting results associated with low-abundance transcripts. The data provided here will likely serve as a valuable resource to evaluate the influence of gDNA contamination on RNA-seq analysis, particularly related to the detection of putative novel gene elements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08785-1.
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spelling pubmed-93510922022-08-05 Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA Li, Xiangnan Zhang, Peipei Wang, Haijian Yu, Ying BMC Genomics Research BACKGROUND: RNA preparations contaminated with genomic DNA (gDNA) are frequently disregarded by RNA-seq studies. Such contamination may generate false results; however, their effect on the outcomes of RNA-seq analyses is unknown. To address this gap in our knowledge, here we added different concentrations of gDNA to total RNA preparations and subjected them to RNA-seq analysis. RESULTS: We found that the contaminating gDNA altered the quantification of transcripts at relatively high concentrations. Differentially expressed genes (DEGs) resulting from gDNA contamination may therefore contribute to higher rates of false enrichment of pathways compared with analogous samples lacking numerous DEGs. A strategy was developed to correct gene expression levels in gDNA-contaminated RNA samples, which assessed the magnitude of contamination to improve the reliability of the results. CONCLUSIONS: Our study indicates that caution must be exercised when interpreting results associated with low-abundance transcripts. The data provided here will likely serve as a valuable resource to evaluate the influence of gDNA contamination on RNA-seq analysis, particularly related to the detection of putative novel gene elements. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12864-022-08785-1. BioMed Central 2022-08-03 /pmc/articles/PMC9351092/ /pubmed/35922750 http://dx.doi.org/10.1186/s12864-022-08785-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Li, Xiangnan
Zhang, Peipei
Wang, Haijian
Yu, Ying
Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title_full Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title_fullStr Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title_full_unstemmed Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title_short Genes expressed at low levels raise false discovery rates in RNA samples contaminated with genomic DNA
title_sort genes expressed at low levels raise false discovery rates in rna samples contaminated with genomic dna
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9351092/
https://www.ncbi.nlm.nih.gov/pubmed/35922750
http://dx.doi.org/10.1186/s12864-022-08785-1
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