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

Differential expression Freeze-thaw Quality control RNA-Seq Sample preparation

Journal

BMC genomics
ISSN: 1471-2164
Titre abrégé: BMC Genomics
Pays: England
ID NLM: 100965258

Informations de publication

Date de publication:
21 Jan 2021
Historique:
received: 25 08 2020
accepted: 08 01 2021
entrez: 22 1 2021
pubmed: 23 1 2021
medline: 15 5 2021
Statut: epublish

Résumé

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. 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. 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.

Sections du résumé

BACKGROUND 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 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 CONCLUSIONS
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.

Identifiants

pubmed: 33478392
doi: 10.1186/s12864-021-07381-z
pii: 10.1186/s12864-021-07381-z
pmc: PMC7818915
doi:

Substances chimiques

RNA 63231-63-0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

69

Subventions

Organisme : NIMH NIH HHS
ID : R01 MH110558
Pays : United States
Organisme : NIDCD NIH HHS
ID : T32GM008806
Pays : United States
Organisme : NIMH NIH HHS
ID : R01-MH110558
Pays : United States
Organisme : NIDCD NIH HHS
ID : R01-DC016385
Pays : United States
Organisme : NIGMS NIH HHS
ID : R35 GM119850
Pays : United States
Organisme : R35
ID : GM119850
Organisme : Novo Nordisk Fonden (DK)
ID : NNF10CC1016517

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Auteurs

Benjamin P Kellman (BP)

Department of Pediatrics, University of California, San Diego, USA.
Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.

Hratch M Baghdassarian (HM)

Department of Pediatrics, University of California, San Diego, USA.
Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.

Tiziano Pramparo (T)

Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Isaac Shamie (I)

Department of Pediatrics, University of California, San Diego, USA.
Bioinformatics and Systems Biology Program, University of California San Diego, San Diego, USA.

Vahid Gazestani (V)

Department of Pediatrics, University of California, San Diego, USA.
Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Arjana Begzati (A)

Department of Medicine, University of California San Diego, San Diego, USA.

Shangzhong Li (S)

Department of Pediatrics, University of California, San Diego, USA.
Department of Bioengineering, University of California San Diego, San Diego, USA.

Srinivasa Nalabolu (S)

Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Sarah Murray (S)

Department of Pathology, University of California San Diego, San Diego, USA.

Linda Lopez (L)

Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Karen Pierce (K)

Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Eric Courchesne (E)

Autism Center of Excellence, Department of Neuroscience, University of California San Diego, San Diego, USA.

Nathan E Lewis (NE)

Department of Pediatrics, University of California, San Diego, USA. n4lewis@eng.ucsd.edu.
Department of Bioengineering, University of California San Diego, San Diego, USA. n4lewis@eng.ucsd.edu.
Novo Nordisk Foundation Center for Biosustainability, University of California, San Diego, La Jolla, USA. n4lewis@eng.ucsd.edu.

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Classifications MeSH