Evidence map›Paper›PMID 34297524›Full record

ArticleAnalytical chemistry2021

Nanoparticle-Aided Nanoreactor for Nanoproteomics.

Zhichang Yang, Zhaoran Zhang, Daoyang Chen, Tian Xu, Yuan Wang, Liangliang Sun

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.2field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
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  5. Separation methods in single-cell proteomics: RPLC or CE?International journal of mass spectrometry · 2022
    Article
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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

6 authors at 1 institution in 1 country.

Zhichang YangDepartment of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824 United States.
Zhaoran ZhangDepartment of Animal Sciences, Michigan State University, 766 Service Road, East Lansing, Michigan 48824 United States.
Daoyang ChenDepartment of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824 United States.
Tian XuDepartment of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824 United States.
Yuan WangDepartment of Animal Sciences, Michigan State University, 766 Service Road, East Lansing, Michigan 48824 United States.
Liangliang SunDepartment of Chemistry, Michigan State University, 578 S Shaw Lane, East Lansing, Michigan 48824 United States.ORCID 0000-0001-8939-5042
Michigan State University · US

Funding

Quantitative proteomics of Zebrafish embryos and blastomeresR01GM125991 · NIGMS · MICHIGAN STATE UNIVERSITY · PI SUN, LIANGLIANG · 2018 to 2022
$1.7M
NIGMS NIH HHS R01 GM125991
6 · The paper itself

Abstract

Large-scale bottom-up proteomics of few even single cells is crucial for a better understanding of the roles played by cell-to-cell heterogeneity in disease and development. Novel proteomic methodologies with extremely high sensitivity are required for few even single-cell proteomics. Sample processing with high recovery and no contaminants is one key step. Here we developed a nanoparticle-aided nanoreactor for nanoproteomics (Nano3) technique for processing low-nanograms of mammalian cell proteins for proteome profiling. The Nano3 technique employed nanoparticles packed in a capillary channel to form a nanoreactor (≤30 nL) for concentrating, cleaning, and digesting proteins originally in a lysis buffer containing sodium dodecyl sulfate (SDS), followed by nanoRPLC-MS/MS analysis. The Nano3 method identified a 40-times higher number of proteins based on MS/MS from 2-ng mouse brain protein samples compared to the SP3 (single-pot solid-phase-enhanced sample preparation) method, which performed the sample processing using the nanoparticles in a 10 μL solution in an Eppendorf tube. The data indicates a drastically higher sample recovery of the Nano3 compared to the SP3 method for processing mass-limited proteome samples. In this pilot study, the Nano3 method was further applied in processing 10-1000 HeLa cells for bottom-up proteomics, producing 441 ± 263 (

Indexed as

NanoparticlesProteomicsHeLa CellsHumansNanotechnologyPilot ProjectsProteomeTandem Mass SpectrometryProteome

Identifiers

PMID34297524
PMCPMC9563093
OpenAlexW3185574747

What OpenQuestion holds

Textmetadata
LicenceTDM
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.