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Multiple freeze-thaw cycles lead to a loss of consistency in poly(A)-enriched RNA sequencing.
Kellman, Benjamin P; Baghdassarian, Hratch M; Pramparo, Tiziano; Shamie, Isaac; Gazestani, Vahid; Begzati, Arjana; Li, Shangzhong; Nalabolu, Srinivasa; Murray, Sarah; Lopez, Linda; Pierce, Karen; Courchesne, Eric; Lewis, Nathan E.
Afiliación
  • Kellman BP; Department of Pediatrics, University of California, San Diego, USA.
  • Baghdassarian HM; Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.
  • Pramparo T; Department of Pediatrics, University of California, San Diego, USA.
  • Shamie I; Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.
  • Gazestani V; Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.
  • Begzati A; Department of Pediatrics, University of California, San Diego, USA.
  • Li S; Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.
  • Nalabolu S; Department of Pediatrics, University of California, San Diego, USA.
  • Murray S; Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.
  • Lopez L; Department of Medicine, University of California San Diego, San Diego, USA.
  • Pierce K; Department of Pediatrics, University of California, San Diego, USA.
  • Courchesne E; Department of Bioengineering, University of California San Diego, San Diego, USA.
  • Lewis NE; Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.
BMC Genomics ; 22(1): 69, 2021 Jan 21.
Article en En | MEDLINE | ID: mdl-33478392
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.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Criopreservación Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: ARN / Criopreservación Límite: Humans Idioma: En Revista: BMC Genomics Asunto de la revista: GENETICA Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos