Evidence map›Paper›PMID 24890697›Full record

ReviewElectrophoresis2014

Analytical challenges translating mass spectrometry-based phosphoproteomics from discovery to clinical applications.

Anton B Iliuk, Justine V Arrington, Weiguo Andy Tao

Abstract readReview
In one paragraph

Review in Electrophoresis, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Exosomal proteins as potential markers of tumor diagnosis.Journal of hematology & oncology · 2017
    Review
  13. Review
  14. Estimating the Efficiency of Phosphopeptide Identification by Tandem Mass Spectrometry.Journal of the American Society for Mass Spectrometry · 2017
    Article
  15. Phosphoproteins in extracellular vesicles as candidate markers for breast cancer.Proceedings of the National Academy of Sciences of the United States of America · 2017
    Article
  16. Review
  17. 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

3 authors.

Anton B IliukDepartment of Biochemistry, Purdue University, West Lafayette, IN, USA.
Justine V Arrington
Weiguo Andy Tao

Funding

Quality Assurance and Quality Control Project Management: Improving Submissions and Study Conduct in the Human Subjects Research Prior Approval ProcessUL1TR002529 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI MOE, SHARON M, WIEHE, SARAH ELIZABETH · 2018 to 2022
$27.2M
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling PathwaysR01GM088317 · NIGMS · PURDUE UNIVERSITY · PI TAO, W. ANDY · 2010 to 2014
$1.6M
Chemical approaches for detecting S-nitrosothiolsR01GM088226 · NIGMS · WASHINGTON STATE UNIVERSITY · PI XIAN, MING · 2010 to 2014
$1.4M
NCATS NIH HHS UL1 TR001108NIGMS NIH HHS GM088226NIGMS NIH HHS GM088317NIGMS NIH HHS R01 GM088226NIGMS NIH HHS R01 GM088317
6 · The paper itself

Abstract

Phosphoproteomics is the systematic study of one of the most common protein modifications in high throughput with the aim of providing detailed information of the control, response, and communication of biological systems in health and disease. Advances in analytical technologies and strategies, in particular the contributions of high-resolution mass spectrometers, efficient enrichments of phosphopeptides, and fast data acquisition and annotation, have catalyzed dramatic expansion of signaling landscapes in multiple systems during the past decade. While phosphoproteomics is an essential inquiry to map high-resolution signaling networks and to find relevant events among the apparently ubiquitous and widespread modifications of proteome, it presents tremendous challenges in separation sciences to translate it from discovery to clinical practice. In this mini-review, we summarize the analytical tools currently utilized for phosphoproteomic analysis (with focus on MS), progresses made on deciphering clinically relevant kinase-substrate networks, MS uses for biomarker discovery and validation, and the potential of phosphoproteomics for disease diagnostics and personalized medicine.

Indexed as

AnimalsHumansMass SpectrometryPhosphopeptidesPhosphoproteinsPrecision MedicineProteomicsTranslational Research, BiomedicalPhosphopeptidesPhosphoproteinsKinaseMSPhosphoproteomics

Identifiers

PMID24890697
PMCPMC4250476

What OpenQuestion holds

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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.