BMC Genomics (Jan 2021)

Multiple freeze-thaw cycles lead to a loss of consistency in poly(A)-enriched RNA sequencing

  • Benjamin P. Kellman,
  • Hratch M. Baghdassarian,
  • Tiziano Pramparo,
  • Isaac Shamie,
  • Vahid Gazestani,
  • Arjana Begzati,
  • Shangzhong Li,
  • Srinivasa Nalabolu,
  • Sarah Murray,
  • Linda Lopez,
  • Karen Pierce,
  • Eric Courchesne,
  • Nathan E. Lewis

DOI
https://doi.org/10.1186/s12864-021-07381-z
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 15

Abstract

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Abstract Background Both RNA-Seq and sample freeze-thaw are ubiquitous. However, knowledge about the impact of freeze-thaw on downstream analyses is limited. The lack of common quality metrics that are sufficiently sensitive to freeze-thaw and RNA degradation, e.g. the RNA Integrity Score, makes such assessments challenging. Results Here we quantify the impact of repeated freeze-thaw cycles on the reliability of RNA-Seq by examining poly(A)-enriched and ribosomal RNA depleted RNA-seq from frozen leukocytes drawn from a toddler Autism cohort. To do so, we estimate the relative noise, or percentage of random counts, separating technical replicates. Using this approach we measured noise associated with RIN and freeze-thaw cycles. As expected, RIN does not fully capture sample degradation due to freeze-thaw. We further examined differential expression results and found that three freeze-thaws should extinguish the differential expression reproducibility of similar experiments. Freeze-thaw also resulted in a 3′ shift in the read coverage distribution along the gene body of poly(A)-enriched samples compared to ribosomal RNA depleted samples, suggesting that library preparation may exacerbate freeze-thaw-induced sample degradation. Conclusion The use of poly(A)-enrichment for RNA sequencing is pervasive in library preparation of frozen tissue, and thus, it is important during experimental design and data analysis to consider the impact of repeated freeze-thaw cycles on reproducibility. Graphical abstract

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