AN INTEGRATED MICROFLUIDIC SYSTEM FOR AUTOMATIC SCREENING DNA APTAMERS FOR HUMAN NEUTROPHIL PEPTIDE 1-3

Hung Bin Wu, Rishabh Gandotra, Priya Gopinathan, Yi Da Chung, Huey Ling You, Feng Chih Kuo, Mel S. Lee, Gwo Bin Lee*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Systematic evolution of ligands by exponential enrichment (SELEX) is a complicated and time-consuming process which requires several iterative rounds to screen aptamers with high specificity and affinity. In this work, a new automatic SELEX platform was developed to select aptamers specific towards an important biomarker, human neutrophil peptide 1-3 (HNP 1-3), for diagnosis of joint infection. Promising aptamer candidates that can be targeted against HNP 1-3 were successfully selected, which could be applied as an artificial antibody.

Original languageEnglish
Title of host publicationMicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences
PublisherChemical and Biological Microsystems Society
Pages749-750
Number of pages2
ISBN (Electronic)9781733419031
StatePublished - 2021
Externally publishedYes
Event25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 - Palm Springs, Virtual, United States
Duration: 10 10 202114 10 2021

Publication series

NameMicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences

Conference

Conference25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021
Country/TerritoryUnited States
CityPalm Springs, Virtual
Period10/10/2114/10/21

Bibliographical note

Publisher Copyright:
© 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

Keywords

  • Aptamers
  • Human neutrophil peptide 1-3
  • Microfluidics
  • Periprosthetic joint infection
  • Systematic evolution of ligands by exponential enrichment

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