Automated and robust extraction of genomic DNA from various leftover blood samples.

Automated extraction Clotted blood DNA extraction Gel barrier tube High-throughput extraction Leftover blood

Journal

Analytical biochemistry
ISSN: 1096-0309
Titre abrégé: Anal Biochem
Pays: United States
ID NLM: 0370535

Informations de publication

Date de publication:
01 10 2023
Historique:
received: 17 05 2023
revised: 27 07 2023
accepted: 31 07 2023
medline: 23 8 2023
pubmed: 6 8 2023
entrez: 5 8 2023
Statut: ppublish

Résumé

With the development of genomic technologies, the isolation of genomic DNA (gDNA) from clinical samples is increasingly required for clinical diagnostics and research studies. In this study, we explored the potential of utilizing various leftover blood samples obtained from routine clinical tests as a viable source of gDNA. Using an automated method with optimized pre-treatments, we obtained gDNA from seven types of clinical leftover blood, with average yields of gDNA ranging from 3.11 ± 0.45 to 22.45 ± 4.83 μg. Additionally, we investigated the impact of storage conditions on gDNA recovery, resulting in yields of 8.62-68.08 μg when extracting gDNA from EDTA leftover blood samples stored at 4 °C for up to 13 weeks or -80 °C for up to 78 weeks. Furthermore, we successfully obtained sequenceable gDNA from both Serum Separator Tube and EDTA Tube using a 96-well format extraction, with yields ranging from 0.61 to 71.29 μg and 3.94-215.98 μg, respectively. Our findings demonstrate the feasibility of using automated high-throughput platforms for gDNA extraction from various clinical leftover blood samples with the proper pre-treatments.

Identifiants

pubmed: 37543277
pii: S0003-2697(23)00236-1
doi: 10.1016/j.ab.2023.115271
pii:
doi:

Substances chimiques

Edetic Acid 9G34HU7RV0
DNA 9007-49-2

Types de publication

Journal Article Research Support, N.I.H., Extramural

Langues

eng

Sous-ensembles de citation

IM

Pagination

115271

Subventions

Organisme : NCI NIH HHS
ID : P30 CA016087
Pays : United States

Informations de copyright

Copyright © 2023 Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Jianlan You (J)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA. Electronic address: Jianlan.you@nyulangone.org.

Jan Osea (J)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Sandra Mendoza (S)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Tomoe Shiomi (T)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Estefania Gallego (E)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Bernice Pham (B)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Angie Kim (A)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Abraham Sinay-Smith (A)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Zasha Zayas (Z)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Antonio G Neto (AG)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Ludovic Boytard (L)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Luis Chiriboga (L)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA; Department of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Paolo Cotzia (P)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA.

Andre L Moreira (AL)

Center for Biospecimen Research & Development, New York University Grossman School of Medicine, New York, NY, 10016, USA; Department of Pathology, New York University Grossman School of Medicine, New York, NY, 10016, USA.

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Classifications MeSH