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Microfluidic affinity selection of active SARS-CoV-2 virus particles.
Gamage, Sachindra S T; Pahattuge, Thilanga N; Wijerathne, Harshani; Childers, Katie; Vaidyanathan, Swarnagowri; Athapattu, Uditha S; Zhang, Lulu; Zhao, Zheng; Hupert, Mateusz L; Muller, Rolf M; Muller-Cohn, Judy; Dickerson, Janet; Dufek, Dylan; Geisbrecht, Brian V; Pathak, Harsh; Pessetto, Ziyan; Gan, Gregory N; Choi, Junseo; Park, Sunggook; Godwin, Andrew K; Witek, Malgorzata A; Soper, Steven A.
Afiliação
  • Gamage SST; Department of Chemistry, The University of Kansas, Lawrence, KS 66045, USA.
  • Pahattuge TN; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Wijerathne H; Department of Chemistry, The University of Kansas, Lawrence, KS 66045, USA.
  • Childers K; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Vaidyanathan S; Department of Chemistry, The University of Kansas, Lawrence, KS 66045, USA.
  • Athapattu US; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Zhang L; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Zhao Z; Bioengineering Program, The University of Kansas, Lawrence, KS 66045, USA.
  • Hupert ML; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Muller RM; Bioengineering Program, The University of Kansas, Lawrence, KS 66045, USA.
  • Muller-Cohn J; Department of Chemistry, The University of Kansas, Lawrence, KS 66045, USA.
  • Dickerson J; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Dufek D; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Geisbrecht BV; Bioengineering Program, The University of Kansas, Lawrence, KS 66045, USA.
  • Pathak H; Department of Chemistry, The University of Kansas, Lawrence, KS 66045, USA.
  • Pessetto Z; Center of BioModular Multiscale Systems for Precision Medicine, The University of Kansas, Lawrence, KS 66045, USA.
  • Gan GN; BioFluidica Inc., San Diego, CA 92121, USA.
  • Choi J; BioFluidica Inc., San Diego, CA 92121, USA.
  • Park S; BioFluidica Inc., San Diego, CA 92121, USA.
  • Godwin AK; BioFluidica Inc., San Diego, CA 92121, USA.
  • Witek MA; BioFluidica Inc., San Diego, CA 92121, USA.
  • Soper SA; Department of Biochemistry and Molecular Biophysics, Kansas State University, Manhattan, KS 66506, USA.
Sci Adv ; 8(39): eabn9665, 2022 Sep 30.
Article em En | MEDLINE | ID: mdl-36170362
ABSTRACT
We report a microfluidic assay to select active severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) viral particles (VPs), which were defined as intact particles with an accessible angiotensin-converting enzyme 2 receptor binding domain (RBD) on the spike (S) protein, from clinical samples. Affinity selection of SARS-CoV-2 particles was carried out using injection molded microfluidic chips, which allow for high-scale production to accommodate large-scale screening. The microfluidic contained a surface-bound aptamer directed against the virus's S protein RBD to affinity select SARS-CoV-2 VPs. Following selection (~94% recovery), the VPs were released from the chip's surface using a blue light light-emitting diode (89% efficiency). Selected SARS-CoV-2 VP enumeration was carried out using reverse transcription quantitative polymerase chain reaction. The VP selection assay successfully identified healthy donors (clinical specificity = 100%) and 19 of 20 patients with coronavirus disease 2019 (COVID-19) (95% sensitivity). In 15 patients with COVID-19, the presence of active SARS-CoV-2 VPs was found. The chip can be reprogrammed for any VP or exosomes by simply changing the affinity agent.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Sci Adv Ano de publicação: 2022 Tipo de documento: Article