Evidence map›Paper›PMID 29116567›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

LC-SRM-Based Targeted Quantification of Urinary Protein Biomarkers.

Yuqian Gao, Hui Wang, Carrie D Nicora, Tujin Shi, Richard D Smith, Tara K Sigdel, Minnie M Sarwal, David G Camp, Wei-Jun Qian

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Yuqian GaoBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Hui WangBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Carrie D NicoraBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Tujin ShiBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Richard D SmithBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Tara K SigdelThe Department of Surgery, University of California San Francisco, San Francisco, CA, USA.
Minnie M SarwalThe Department of Surgery, University of California San Francisco, San Francisco, CA, USA.
David G CampBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA.
Wei-Jun QianBiological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA. weijun.qian@pnnl.gov.

Funding

Equipment Supplement Request for a Research Resource for Ultra-sensitive High Throughput ProteomicsP41GM103493 · NIGMS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2012 to 2022
$22.6M
Urinary Proteome Monitoring for Transplant InjuryR01DK083447 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CAMP, DAVID G, SARWAL, MINNIE M · 2010 to 2013
$2.4M
NIDDK NIH HHS R01 DK083447NIGMS NIH HHS P41 GM103493
6 · The paper itself

Abstract

Liquid chromatography (LC)-selected reaction monitoring (SRM) is a powerful protein quantification technique in terms of sensitivity, reproducibility, and multiplexing capability. LC-SRM can accurately measure the concentrations of surrogate proteotypic peptides for targeted proteins in complex biological samples by using their stable heavy isotope-labeled counterparts as internal standards. Herein, we describe a step-by-step protocol of the application of LC-SRM to quantify candidate protein biomarkers in human urine.

Indexed as

Amino Acid SequenceBiomarkersChromatography, LiquidHumansIsotope LabelingPeptidesProteinsProteinuriaProteomicsUrinalysisUrine Specimen CollectionBiomarkersPeptidesProteinsBiomarkerLC-SRMSkylineStable heavy isotope-labeled peptideTargeted quantificationUrine

Identifiers

PMID29116567
PMCPMC7224550

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.