Evidence map›Paper›PMID 30924636›Full record

ArticleAnalytical chemistry2019

Simple Tip-Based Sample Processing Method for Urinary Proteomic Analysis.

David J Clark, Yingwei Hu, Michael Schnaubelt, Yi Fu, Sean Ponce, Shao-Yung Chen, Yangying Zhou, Punit Shah, Hui Zhang

Open access · greenAbstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023
    Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Mass Spectrometry-Based Glycoproteomics and Prostate Cancer.International journal of molecular sciences · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

9 authors at 2 institutions in 1 country.

David J ClarkDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.ORCID 0000-0003-0527-8469
Yingwei HuDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.ORCID 0000-0002-4629-0985
Michael SchnaubeltDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.
Yi FuThe Bradley Department of Electrical and Computer Engineering , Virginia Tech , Blacksburg , Virginia 24060 , United States.
Sean PonceDepartment of Chemical and Biomolecular Engineering , Johns Hopkins University , Baltimore , Maryland 21231 , United States.
Shao-Yung ChenDepartment of Chemical and Biomolecular Engineering , Johns Hopkins University , Baltimore , Maryland 21231 , United States.
Yangying ZhouDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.
Punit ShahDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.
Hui ZhangDepartment of Pathology , Johns Hopkins University School of Medicine , Baltimore , Maryland 21231 , United States.ORCID 0000-0001-8726-7098
Johns Hopkins University · USVirginia Tech · US

Funding

Glycoprotein biomarkers for the early detection of aggressive prostate cancerU01CA152813 · NCI · JOHNS HOPKINS UNIVERSITY · PI ZHANG, HUI · 2010 to 2021
$6.2M
The Comprehensive Proteome Characterization Center at Johns Hopkins: High Precision Discovery and Confirmation of Genoproteomic TargetsU24CA210985 · NCI · JOHNS HOPKINS UNIVERSITY · PI CHAN, DANIEL WANYUI, ZHANG, HUI · 2016 to 2020
$5.3M
NCI NIH HHS U01 CA152813NCI NIH HHS U24 CA210985
6 · The paper itself

Abstract

Mass spectrometry-based urinary proteomics is one of the most attractive strategies to discover proteins for diagnosis, prognosis, monitoring, or prediction of therapeutic responses of urological diseases involving the kidney, prostate, and bladder; however, interfering compounds found in urine necessitate sample preparation strategies that are currently not suitable for urinary proteomics in the clinical setting. Herein, we describe the C4-tip method, comprising a simple, automated strategy utilizing a reverse-phase resin tip-based format and "on-tip" digestion to examine the urine proteome. We first determined the optimal conditions for protein isolation and protease digestion on the C4-tip using the standard protein bovine fetuin. Next, we applied the C4-tip method to urinary proteomics, identifying a total of 813 protein groups using LC-MS/MS, with identified proteins from the C4-tip method displaying a similar distribution of gene ontology (GO) cellular component assignments compared to identified proteins from an ultrafiltration preparation method. Finally, we assessed the reproducibility of the C4-tip method, revealing a high Spearman correlation R-value for shared proteins identified across all tips. Together, we have shown the C4-tip method to be a simple, robust method for high-throughput analysis of the urinary proteome by mass spectrometry in the clinical setting.

Indexed as

Analytic Sample Preparation MethodsProteomicsUrinalysisWorkflow

Identifiers

PMID30924636
PMCPMC6512789
OpenAlexW2930597066

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.