Evidence map›Paper›PMID 32685833›Full record

ArticleACS omega2020

Microarrays Incorporating Gold Grid Patterns for Protein Quantification.

Chang-Hyuk Yoo, Jae-Kyoung Yu, Yeju Seong, Jun-Kyu Choi

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 56% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Magnetic Nanoparticles for Protein Separation and Purification.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 1 institution in 1 country.

Chang-Hyuk YooDivision of Life Sciences, College of Life Sciences and Bioengineering, Incheon National University, Incheon 22012, Korea.
Jae-Kyoung YuSmall Machines Company, Ltd., Daejeon 34012, Korea.
Yeju SeongSmall Machines Company, Ltd., Daejeon 34012, Korea.
Jun-Kyu ChoiSmall Machines Company, Ltd., Daejeon 34012, Korea.
Incheon National University · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID32685833
PMCPMC7364605
OpenAlexW3039156237

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.