Evidence map›Paper›PMID 24403597›Full record

ArticleMolecular & cellular proteomics : MCP2014

Advancing the high throughput identification of liver fibrosis protein signatures using multiplexed ion mobility spectrometry.

Erin Shammel Baker, Kristin E Burnum-Johnson, Jon M Jacobs, Deborah L Diamond, Roslyn N Brown, Yehia M Ibrahim, Daniel J Orton, Paul D Piehowski, David E Purdy, Ronald J Moore and 19 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Trial
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  3. Identification of Hip BMD Loss and Fracture Risk Markers Through Population-Based Serum Proteomics.Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research · 2017
    Trial
  4. Article
  5. Review
  6. Article
  7. Article
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  9. Towards IMInternational journal of mass spectrometry · 2024
    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

29 authors.

Erin Shammel BakerBiological Sciences Division and Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, Washington;
Kristin E Burnum-Johnson
Jon M Jacobs
Deborah L Diamond
Roslyn N Brown
Yehia M Ibrahim
Daniel J Orton
Paul D Piehowski
David E Purdy
Ronald J Moore
William F Danielson
Matthew E Monroe
Kevin L Crowell
Gordon W Slysz
Marina A Gritsenko
John D Sandoval
Brian L Lamarche
Melissa M Matzke
Bobbie-Jo M Webb-Robertson
Brenna C Simons
Brian J McMahon
Renuka Bhattacharya
James D Perkins
Robert L Carithers
Susan Strom
Steven G Self
Michael G Katze
Gordon A Anderson
Richard D Smith

Funding

Washington National Primate Research CenterP51OD010425 · OD · UNIVERSITY OF WASHINGTON · PI Mari Ostendorf · 2012 to 2026
$201.8M
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
PNNL Clinical Proteome Characterization CenterU24CA160019 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI RODLAND, KARIN D, SMITH, RICHARD D · 2011 to 2016
$15.7M
Platform Providing Increased Throughput, Sensitivity and Specificity for MetaboloR01ES022190 · NIEHS · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI BAKER, ERIN S · 2012 to 2016
$2.2M
A Proteomics Platform for Quantitative, Ultra-High Throughput, and Ultra-SensitivR21CA126191 · NCI · BATTELLE PACIFIC NORTHWEST LABORATORIES · PI SMITH, RICHARD D · 2006 to 2007
$296k
NCI NIH HHS R21CA12619-01NCI NIH HHS R21 CA126191NCI NIH HHS U24 CA160019NCI NIH HHS U24CA160019-01NCI NIH HHS Y01CN05013-29NIEHS NIH HHS R01 ES022190NIEHS NIH HHS R01ES022190NIGMS NIH HHS 2P41GM103493-11NIGMS NIH HHS 8P41GM103493-10NIGMS NIH HHS P41 GM103493NIH HHS P51 OD010425
6 · The paper itself

Abstract

Rapid diagnosis of disease states using less invasive, safer, and more clinically acceptable approaches than presently employed is a crucial direction for the field of medicine. While MS-based proteomics approaches have attempted to meet these objectives, challenges such as the enormous dynamic range of protein concentrations in clinically relevant biofluid samples coupled with the need to address human biodiversity have slowed their employment. Herein, we report on the use of a new instrumental platform that addresses these challenges by coupling technical advances in rapid gas phase multiplexed ion mobility spectrometry separations with liquid chromatography and MS to dramatically increase measurement sensitivity and throughput, further enabling future high throughput MS-based clinical applications. An initial application of the liquid chromatography--ion mobility spectrometry-MS platform analyzing blood serum samples from 60 postliver transplant patients with recurrent fibrosis progression and 60 nontransplant patients illustrates its potential utility for disease characterization.

Indexed as

Chromatography, LiquidHumansIonsLiver CirrhosisLiver TransplantationMass SpectrometryProteomeProteomicsIonsProteome

Identifiers

PMID24403597
PMCPMC3977189

What OpenQuestion holds

Textmetadata
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.