4.7 Article

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

期刊

BMC GENOMICS
卷 23, 期 1, 页码 -

出版社

BMC
DOI: 10.1186/s12864-022-08785-1

关键词

Genomic DNA Contamination; RNA-seq; False Discoveries

资金

  1. National Key R&D Project of China [2021YFF1201305, 2018YFE0201603]
  2. National Natural Science Foundation of China [31720103909, 32170657]
  3. Shanghai Municipal Science and Technology Major Project [2017SHZDZX01]
  4. State Key Laboratory of Genetic Engineering [SKLGE-2117]
  5. 111 Project [B13016]

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Our research indicates that caution should be taken when interpreting results related to low-abundance transcripts. The findings provided in this study will serve as a valuable resource for evaluating the impact of gDNA contamination on RNA-seq analysis, especially in relation to the discovery of potential novel gene elements.
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.

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