PMID- 33427442
OWN - NLM
STAT- MEDLINE
DCOM- 20210514
LR  - 20210514
IS  - 2379-3694 (Electronic)
IS  - 2379-3694 (Linking)
VI  - 6
IP  - 1
DP  - 2021 Jan 22
TI  - Configurable Digital Virus Counter on Robust Universal DNA Chips.
PG  - 229-237
LID - 10.1021/acssensors.0c02203 [doi]
AB  - Here, we demonstrate real-time multiplexed virus detection by applying a 
      DNA-directed antibody immobilization technique in a single-particle 
      interferometric reflectance imaging sensor (SP-IRIS). In this technique, the 
      biosensor chip surface spotted with different DNA sequences is converted to a 
      multiplexed antibody array by flowing antibody-DNA conjugates and allowing for 
      specific DNA-DNA hybridization. The resulting antibody array is shown to detect 
      three different recombinant vesicular stomatitis viruses (rVSVs), which are 
      genetically engineered to express surface glycoproteins of Ebola, Marburg, and 
      Lassa viruses in real time in a disposable microfluidic cartridge. We also show 
      that this method can be modified to produce a single-step, homogeneous assay 
      format by mixing the antibody-DNA conjugates with the virus sample in the 
      solution phase prior to incubation in the microfluidic cartridge, eliminating the 
      antibody immobilization step. This homogenous approach achieved detection of the 
      model Ebola virus, rVSV-EBOV, at a concentration of 100 PFU/mL in 1 h. Finally, 
      we demonstrate the feasibility of this homogeneous technique as a rapid test 
      using a passive microfluidic cartridge. A concentration of 10(4) PFU/mL was 
      detectable under 10 min for the rVSV-Ebola virus. Utilizing DNA microarrays for 
      antibody-based diagnostics is an alternative approach to antibody microarrays and 
      offers advantages such as configurable sensor surface, long-term storage ability, 
      and decreased antibody use. We believe that these properties will make SP-IRIS a 
      versatile and robust platform for point-of-care diagnostics applications.
FAU - Seymour, Elif
AU  - Seymour E
AUID- ORCID: 0000-0003-3802-5775
AD  - Department of Biomedical Engineering, Boston University, Boston, Massachusetts 
      02215, United States.
FAU - Unlu, Nese Lortlar
AU  - Unlu NL
AD  - Department of Biomedical Engineering, Boston University, Boston, Massachusetts 
      02215, United States.
FAU - Carter, Erik P
AU  - Carter EP
AD  - Department of Microbiology, Boston University School of Medicine, Boston, 
      Massachusetts 02218, United States.
FAU - Connor, John H
AU  - Connor JH
AD  - Department of Microbiology, Boston University School of Medicine, Boston, 
      Massachusetts 02218, United States.
FAU - Unlu, M Selim
AU  - Unlu MS
AD  - Department of Biomedical Engineering, Boston University, Boston, Massachusetts 
      02215, United States.
AD  - Department of Electrical and Computer Engineering, Boston University, Boston, 
      Massachusetts 02215, United States.
LA  - eng
PT  - Journal Article
PT  - Research Support, N.I.H., Extramural
DEP - 20210111
PL  - United States
TA  - ACS Sens
JT  - ACS sensors
JID - 101669031
SB  - IM
MH  - *Biosensing Techniques
MH  - *Ebolavirus/genetics
MH  - Oligonucleotide Array Sequence Analysis
MH  - Vesiculovirus/genetics
MH  - *Viruses
OTO - NOTNLM
OT  - DNA-directed antibody immobilization
OT  - homogeneous virus tagging
OT  - imaging biosensor
OT  - multiplexed detection
OT  - point-of-care diagnostics
EDAT- 2021/01/12 06:00
MHDA- 2021/05/15 06:00
CRDT- 2021/01/11 12:13
PHST- 2021/01/12 06:00 [pubmed]
PHST- 2021/05/15 06:00 [medline]
PHST- 2021/01/11 12:13 [entrez]
AID - 10.1021/acssensors.0c02203 [doi]
PST - ppublish
SO  - ACS Sens. 2021 Jan 22;6(1):229-237. doi: 10.1021/acssensors.0c02203. Epub 2021 
      Jan 11.