Evidence map›Paper›PMID 41109964›Full record

ArticleClinical chemistry and laboratory medicine2026

Optimization and comparison of genomic DNA extraction from whole blood collected in PAXgene blood RNA tube using automated platforms.

Jianlan You, Tomoe Shiomi, Paul Zappile, Luis Chiriboga, Sandra Mendoza, Andre L Moreira

Abstract readComparative Study
In one paragraph

Article in Clinical chemistry and laboratory medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Jianlan YouCenter for Biospecimen Research & Development, 12296 New York University Grossman School of Medicine , New York, NY, USA.ORCID https://orcid.org/0000-0002-2129-1500
Tomoe ShiomiCenter for Biospecimen Research & Development, 12296 New York University Grossman School of Medicine , New York, NY, USA.
Paul ZappileGenome Technology Center, New York University Grossman School of Medicine, New York, NY, USA.
Luis ChiribogaCenter for Biospecimen Research & Development, 12296 New York University Grossman School of Medicine , New York, NY, USA.
Sandra MendozaCenter for Biospecimen Research & Development, 12296 New York University Grossman School of Medicine , New York, NY, USA.
Andre L MoreiraCenter for Biospecimen Research & Development, 12296 New York University Grossman School of Medicine , New York, NY, USA.

Funding

Vaccine FacilityP30CA016087 · NCI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI MARK Reid PHILIPS · 1985 to 2026
$83.1M
NCI NIH HHS P30 CA016087
6 · The paper itself

Abstract

objectivesWith the development of genomic technologies, the isolation of genomic DNA (gDNA) from clinical samples has become more important for both clinical diagnostics and research studies. Blood samples collected in PAXgene Blood RNA Tubes, which are typically used for RNA extraction, can be used for gDNA extraction, particularly in clinical studies when only such blood samples are available.

methodsWe optimized the pre-treatment of blood samples collected in PAXgene Blood RNA Tubes. For the first time, three magnetic bead-based automated platforms (QIAsymphony SP, Maxwell RSC and KingFisher Apex) were compared for gDNA extraction from these blood samples. Additionally, the effects of storage at 4 °C or freeze-thaw cycles of the blood samples on gDNA yield were investigated. High-throughput extraction in 96-well format was evaluated.

resultsSystematic optimization of blood sample pre-treatment shows that prolonged incubation at room temperature and/or increased centrifugation speed and time improved gDNA yield from blood samples collected in PAXgene Blood RNA Tubes. QIAsymphony SP (4.27 ± 2.19 µg) and Maxwell RSC (4.82 ± 2.96 µg) produced significantly higher gDNA yields than KingFisher Apex (1.09 ± 0.61 µg). Higher gDNA yields were obtained with shorter storage time at 4 °C or fewer freeze-thaw cycles of the blood samples. In the 96-well format extraction, gDNA yields ranged from 0.24 to 13.46 µg.

conclusionsNot all magnetic bead-based automated platforms are suitable for gDNA extraction from blood samples collected in PAXgene Blood RNA Tubes. Systematic pre-treatments optimization provides guidance for routine and high-throughput workflows, and storage conditions and freeze-thaw cycles offer practical reference for biobanking.

Indexed as

Blood Specimen CollectionDNARNAAutomationHumansDNARNAautomated extractiongenomic DNA extractionhigh-throughput extractionmagnetic bead-based extractionPAXgene blood RNA tube

Identifiers

PMID41109964
PMCPMC12862341

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.