Evidence map›Paper›PMID 24797144›Full record

ArticleAnalytical chemistry2014

Urine sample preparation in 96-well filter plates for quantitative clinical proteomics.

Yanbao Yu, Moo-Jin Suh, Patricia Sikorski, Keehwan Kwon, Karen E Nelson, Rembert Pieper

Abstract read
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Bottom-Up Proteomics: Advancements in Sample Preparation.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. [Advances in high-throughput proteomic analysis].Se pu = Chinese journal of chromatography · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

6 authors.

Yanbao YuThe J. Craig Venter Institute , 9704 Medical Center Drive, Rockville, Maryland 20850, United States.
Moo-Jin Suh
Patricia Sikorski
Keehwan Kwon
Karen E Nelson
Rembert Pieper

Funding

T1D:Investigating the Gut Microbiome, Urinary Proteome and MetabolomeDP3DK094343 · NIDDK · J. CRAIG VENTER INSTITUTE, INC. · PI PIEPER, REMBERT · 2011 to 2011
$4.7M
Urethral Catheter-Associated Polybacterial Biofilm Formation and DispersalR01GM103598 · NIGMS · J. CRAIG VENTER INSTITUTE, INC. · PI PIEPER, REMBERT · 2013 to 2016
$1.3M
NIDDK NIH HHS 1DP3DK094343-01NIDDK NIH HHS DP3 DK094343NIGMS NIH HHS 1R01GM103598NIGMS NIH HHS R01 GM103598
6 · The paper itself

Abstract

Urine is an important, noninvasively collected body fluid source for the diagnosis and prognosis of human diseases. Liquid chromatography mass spectrometry (LC-MS) based shotgun proteomics has evolved as a sensitive and informative technique to discover candidate disease biomarkers from urine specimens. Filter-aided sample preparation (FASP) generates peptide samples from protein mixtures of cell lysate or body fluid origin. Here, we describe a FASP method adapted to 96-well filter plates, named 96FASP. Soluble urine concentrates containing ~10 μg of total protein were processed by 96FASP and LC-MS resulting in 700-900 protein identifications at a 1% false discovery rate (FDR). The experimental repeatability, as assessed by label-free quantification and Pearson correlation analysis for shared proteins among replicates, was high (R ≥ 0.97). Application to urinary pellet lysates which is of particular interest in the context of urinary tract infection analysis was also demonstrated. On average, 1700 proteins (±398) were identified in five experiments. In a pilot study using 96FASP for analysis of eight soluble urine samples, we demonstrated that protein profiles of technical replicates invariably clustered; the protein profiles for distinct urine donors were very different from each other. Robust, highly parallel methods to generate peptide mixtures from urine and other body fluids are critical to increase cost-effectiveness in clinical proteomics projects. This 96FASP method has potential to become a gold standard for high-throughput quantitative clinical proteomics.

Indexed as

AdultBiomarkersChildChromatography, High Pressure LiquidDiabetes Mellitus, Type 1HEK293 CellsHumansMass SpectrometryPilot ProjectsProteomicsSpecimen HandlingUrinary Tract InfectionsUrineBiomarkers

Identifiers

PMID24797144
PMCPMC4045327

What OpenQuestion holds

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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.