Cargando…
Microarrays Incorporating Gold Grid Patterns for Protein Quantification
[Image: see text] Protein microarrays are miniaturized two-dimensional arrays, incorporating thousands of immobilized proteins, typically printed in minute amounts on functionalized solid substrates, which can be analyzed in a high-throughput fashion. Irreproducibility of the printing techniques ado...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2020
|
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364605/ https://www.ncbi.nlm.nih.gov/pubmed/32685833 http://dx.doi.org/10.1021/acsomega.0c01549 |
_version_ | 1783559864032690176 |
---|---|
author | Yoo, Chang-Hyuk Yu, Jae-Kyoung Seong, Yeju Choi, Jun-Kyu |
author_facet | Yoo, Chang-Hyuk Yu, Jae-Kyoung Seong, Yeju Choi, Jun-Kyu |
author_sort | Yoo, Chang-Hyuk |
collection | PubMed |
description | [Image: see text] Protein microarrays are miniaturized two-dimensional arrays, incorporating thousands of immobilized proteins, typically printed in minute amounts on functionalized solid substrates, which can be analyzed in a high-throughput fashion. Irreproducibility of the printing techniques adopted, resulting in inconsistently and nonuniformly deposited microscopic spots, nonuniform signal intensities from the printed microspots, and significantly high background noise are some of the critical issues that affect protein analysis using traditional protein microarrays. To overcome such issues, in this study, we introduced a novel gold grid pattern-based protein microarray. The grid patterns incorporated in our microarray are equivalent to the spots used for protein analysis in conventional protein microarrays. We utilized the signal intensities from the grid patterns acting as spots for quantifying the protein concentration levels. To demonstrate the utility of our novel design concept, we quantified as low as 66.7 ng/mL of bovine serum albumin using our gold grid pattern-based protein microarray. Our grid pattern-based design concept for protein quantification overcame the signal nonuniformity issues and ensured that the dominance of any distorted signal from a single spot did not affect the overall protein quantification results as encountered in conventional protein microarrays. |
format | Online Article Text |
id | pubmed-7364605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-73646052020-07-17 Microarrays Incorporating Gold Grid Patterns for Protein Quantification Yoo, Chang-Hyuk Yu, Jae-Kyoung Seong, Yeju Choi, Jun-Kyu ACS Omega [Image: see text] Protein microarrays are miniaturized two-dimensional arrays, incorporating thousands of immobilized proteins, typically printed in minute amounts on functionalized solid substrates, which can be analyzed in a high-throughput fashion. Irreproducibility of the printing techniques adopted, resulting in inconsistently and nonuniformly deposited microscopic spots, nonuniform signal intensities from the printed microspots, and significantly high background noise are some of the critical issues that affect protein analysis using traditional protein microarrays. To overcome such issues, in this study, we introduced a novel gold grid pattern-based protein microarray. The grid patterns incorporated in our microarray are equivalent to the spots used for protein analysis in conventional protein microarrays. We utilized the signal intensities from the grid patterns acting as spots for quantifying the protein concentration levels. To demonstrate the utility of our novel design concept, we quantified as low as 66.7 ng/mL of bovine serum albumin using our gold grid pattern-based protein microarray. Our grid pattern-based design concept for protein quantification overcame the signal nonuniformity issues and ensured that the dominance of any distorted signal from a single spot did not affect the overall protein quantification results as encountered in conventional protein microarrays. American Chemical Society 2020-07-02 /pmc/articles/PMC7364605/ /pubmed/32685833 http://dx.doi.org/10.1021/acsomega.0c01549 Text en Copyright © 2020 American Chemical Society This is an open access article published under an ACS AuthorChoice License (http://pubs.acs.org/page/policy/authorchoice_termsofuse.html) , which permits copying and redistribution of the article or any adaptations for non-commercial purposes. |
spellingShingle | Yoo, Chang-Hyuk Yu, Jae-Kyoung Seong, Yeju Choi, Jun-Kyu Microarrays Incorporating Gold Grid Patterns for Protein Quantification |
title | Microarrays Incorporating Gold Grid Patterns for Protein
Quantification |
title_full | Microarrays Incorporating Gold Grid Patterns for Protein
Quantification |
title_fullStr | Microarrays Incorporating Gold Grid Patterns for Protein
Quantification |
title_full_unstemmed | Microarrays Incorporating Gold Grid Patterns for Protein
Quantification |
title_short | Microarrays Incorporating Gold Grid Patterns for Protein
Quantification |
title_sort | microarrays incorporating gold grid patterns for protein
quantification |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7364605/ https://www.ncbi.nlm.nih.gov/pubmed/32685833 http://dx.doi.org/10.1021/acsomega.0c01549 |
work_keys_str_mv | AT yoochanghyuk microarraysincorporatinggoldgridpatternsforproteinquantification AT yujaekyoung microarraysincorporatinggoldgridpatternsforproteinquantification AT seongyeju microarraysincorporatinggoldgridpatternsforproteinquantification AT choijunkyu microarraysincorporatinggoldgridpatternsforproteinquantification |