Literature DB >> 35274114

Determination of lentiviral titer by surface enhanced Raman scattering.

Courtney J Morder1, Brian T Scarpitti1, Karin M Balss2, Zachary D Schultz1.   

Abstract

Lentiviruses are commonly used to deliver genetic code into host cells for biomedical applications, such as gene therapy, pharmaceuticals, and vaccine development. Knowing the infectious titer of these virus particles is critical for development in these areas. Current methods of determining viral titer often require cell culture, where a cell is infected and the inserted genetic code is expressed in a known number of cells, which can require days or weeks to prepare and analyze samples. To provide a more rapid method of determining viral titer, the use of surface enhanced Raman spectroscopy (SERS) was explored. SERS provides both chemical and structural information by using plasmonic metallic nanostructures to amplify the Raman signal. Two different lentiviruses, one with a vector encoding a GFP gene and the same virus without the GFP gene included, were analyzed by SERS in viral production media at various concentrations. The SERS response was demonstrated to be sensitive to the incorporation of the GFP gene into the viral vector. Chemometric analysis using multivariate curve resolution (MCR) was able to identify a component in the observed SERS spectra that correlated with the concentration of GFP containing virus particles. Using the MCR model and the SERS response, the viral titer of lentivirus encoding for GFP was determined. The viral titer determined by SERS agreed well with expression of the GFP in infected cells. The SERS response using different metals and excitation wavelengths was also explored. Overall, this work demonstrates the utility of SERS for rapid determination of lentiviral titer.

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Year:  2022        PMID: 35274114      PMCID: PMC8989645          DOI: 10.1039/d2ay00041e

Source DB:  PubMed          Journal:  Anal Methods        ISSN: 1759-9660            Impact factor:   2.896


  32 in total

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2.  Photothermal Microscopy of Coupled Nanostructures and the Impact of Nanoscale Heating in Surface Enhanced Raman Spectroscopy.

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Journal:  J Phys Chem C Nanomater Interfaces       Date:  2017-05-05       Impact factor: 4.126

3.  Detection and Quantification of Label-Free Infectious Adenovirus Using a Switch-On Cell-Based Fluorescent Biosensor.

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Journal:  ACS Sens       Date:  2019-06-05       Impact factor: 7.711

4.  MCR-ALS with sample insertion constraint to enhance the sensitivity of surface-enhanced Raman scattering detection.

Authors:  Nontawat Sricharoen; Thanyada Sukmanee; Prompong Pienpinijtham; Sanong Ekgasit; Yasutaka Kitahama; Yukihiro Ozaki; Kanet Wongravee
Journal:  Analyst       Date:  2021-04-12       Impact factor: 4.616

5.  Digital Single Virus Electrochemical Enzyme-Linked Immunoassay for Ultrasensitive H7N9 Avian Influenza Virus Counting.

Authors:  Zhen Wu; Wen-Jing Guo; Yi-Yan Bai; Li Zhang; Jiao Hu; Dai-Wen Pang; Zhi-Ling Zhang
Journal:  Anal Chem       Date:  2018-01-08       Impact factor: 6.986

6.  SERS reveals the specific interaction of silver and gold nanoparticles with hemoglobin and red blood cell components.

Authors:  Daniela Drescher; Tina Büchner; Don McNaughton; Janina Kneipp
Journal:  Phys Chem Chem Phys       Date:  2013-04-21       Impact factor: 3.676

7.  Detection of genetic markers related to high pathogenicity in influenza by SERS.

Authors:  Pierre Negri; Richard A Dluhy
Journal:  Analyst       Date:  2013-07-08       Impact factor: 4.616

8.  Ultrasensitive surface-enhanced Raman scattering flow detector using hydrodynamic focusing.

Authors:  Pierre Negri; Kevin T Jacobs; Oluwatosin O Dada; Zachary D Schultz
Journal:  Anal Chem       Date:  2013-10-15       Impact factor: 6.986

9.  The impact of lentiviral vector genome size and producer cell genomic to gag-pol mRNA ratios on packaging efficiency and titre.

Authors:  Nathan P Sweeney; Conrad A Vink
Journal:  Mol Ther Methods Clin Dev       Date:  2021-04-16       Impact factor: 6.698

10.  Development of a real-time RT-PCR for the detection of swine-lineage influenza A (H1N1) virus infections.

Authors:  Michael J Carr; Rory Gunson; Alasdair Maclean; Suzie Coughlan; Margaret Fitzgerald; Mary Scully; Brian O'Herlihy; John Ryan; Darina O'Flanagan; Jeff Connell; William F Carman; William W Hall
Journal:  J Clin Virol       Date:  2009-06-10       Impact factor: 3.168

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