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Parallel DNA Extraction From Whole Blood for Rapid Sample Generation in Genetic Epidemiological Studies.
Lee, Kiara; Tripathi, Anubhav.
Afiliación
  • Lee K; Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, United States.
  • Tripathi A; Center for Biomedical Engineering, School of Engineering, Brown University, Providence, RI, United States.
Front Genet ; 11: 374, 2020.
Article en En | MEDLINE | ID: mdl-32411178
ABSTRACT
Large-scale genetic epidemiological studies require high-quality analysis of samples such as blood or saliva from multiple patients, which is challenging at the point of care. To expand these studies' impact, minimal sample storage time and less complex extraction of a substantial quantity and good purity of DNA or RNA for downstream applications are necessary. Here, a simple microfluidics-based system that performs genomic DNA (gDNA) extraction from whole blood was developed. In this system, a mixture of blood lysate, paramagnetic beads, and binding buffer are first placed into the input well. Then, the gDNA-bound paramagnetic beads are pulled using a magnet through a central channel containing a wash buffer to the output well, which contains elution buffer. The gDNA is eluted at 55°C off the chip. The 40-minute microfluidic protocol extracts gDNA from six samples simultaneously and requires an input of 4 µL of diluted blood and a total reagent volume of 75 µL per reaction. Techniques including quantitative PCR (qPCR) and spectrofluorimetry were used to test the purity and quantity of gDNA eluted from the chip following extraction. Bead transport and molecular diffusional analysis showed that an input of less than 4 ng of gDNA (∼667 white blood cells) is optimal for on-chip extraction. There was no observable transport of inhibitors into the eluate that would greatly affect qPCR, and a sample was successfully prepared for next-generation sequencing (NGS). The microfluidics-based extraction of DNA from whole blood described here is paramount for future work in DNA-based point-of-care diagnostics and NGS library workflows.
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Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Front Genet Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos