Evidence map›Paper›PMID 37502920›Full record

ArticleResearch square2023

Development of an Efficient, Effective, and Economical Technology for Proteome Analysis.

Yanbao Yu, Katherine Martin, Ha Le, Canyuan Yang, Guotao Lu, Xiaohui Zhang, Catherine Grimes, Zhihao Zhuang, Papa Nii Asare-Okai

Open access · greenAbstract readPreprint
In one paragraph

Article in Research square, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Yanbao YuUniversity of Delaware.ORCID 0000-0003-2994-1974
Katherine MartinUniversity of Delaware.
Ha LeUniversity of Delaware.
Canyuan YangUniversity of Delaware.
Guotao LuCDS Analytical LLC.
Xiaohui ZhangCDS Analytical LLC.
Catherine GrimesUniversity of Delaware.
Zhihao ZhuangUniversity of Delaware.
Papa Nii Asare-OkaiUniversity of Delaware.
University of Delaware · US

Funding

This renovation project will create over 1455 sq. ft. of state- of-the-art reseaP20GM104316 · NIGMS · UNIVERSITY OF DELAWARE · PI FOX, JOSEPH M · 2014 to 2024
$26.8M
NIGMS NIH HHS P20 GM104316
6 · The paper itself

Abstract

Proteomics experiments have typically high economic and technical barriers to broad biomedical scientists, which not only result in costly supplies and accessories for sample preparation but also the reluctance to adapt new techniques. In the present study, we present an effective and efficient, yet economical technology, which we call E3technology, for proteomics sample preparation. By immobilizing silica microparticles into a polytetrafluoroethylene (PTFE) matrix, we developed a novel medium, which could be used as a robust and reliable proteomics platform to generate LCMS-friendly samples in a rapid and low-cost fashion. Using different formats of E3technology, including E3tip, E3filter, E3cartridge, and E3plate, we explored a variety of sample types in varied complexity, quantity, volume, and size, including bacterial, fungi, mammalian cells, mouse tissue, and human body fluids. We benchmark their performance against several established approaches. Our data suggest that E3technology outperforms many of the currently available techniques in terms of proteome identification and quantitation. It is widely applicable, highly reproducible, readily scalable and automatable, and is user-friendly and stress-free to non-expert proteomics laboratories. It does not require specialized expertise and equipment, and significantly lowers the technical and economical barrier to proteomics experiments. An enhanced version, E4technology, also opens new avenues to sample preparation for low input and/or low-cell proteomics analysis. The presented technologies by our study represent a breakthrough innovation in biomedical science, and we anticipate widespread adoption by the proteomics community.

Identifiers

PMID37502920
PMCPMC10371162
OpenAlexW4384498526

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.