Evidence map›Paper›PMID 26097198›Full record

ReviewProteomics2015

Applications of targeted proteomics in systems biology and translational medicine.

H Alexander Ebhardt, Alex Root, Chris Sander, Ruedi Aebersold

Abstract readReview
In one paragraph

Review in Proteomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers.

0numbers the graph read from it
0cells of the map it votes in
71citing 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

71 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Quantitative Proteomics on Immune Cells of ME/CFS Patients Using SWATH-MS.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  8. Article
  9. Enhanced Sample Multiplexing-Based Targeted Proteomics with Intelligent Data Acquisition.Journal of the American Society for Mass Spectrometry · 2024
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. FungiProteomeDB: a database for the molecular weight and isoelectric points of the fungal proteomes.Database : the journal of biological databases and curation · 2023
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

11 more citing papers are in PubMed but not listed here.

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

4 authors.

H Alexander EbhardtDepartment of Biology, Institute of Molecular Systems Biology, Eidgenossische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.
Alex RootComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Chris SanderComputational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, Eidgenossische Technische Hochschule (ETH) Zurich, Zurich, Switzerland.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

Biological systems are composed of numerous components of which proteins are of particularly high functional significance. Network models are useful abstractions for studying these components in context. Network representations display molecules as nodes and their interactions as edges. Because they are difficult to directly measure, functional edges are frequently inferred from suitably structured datasets consisting of the accurate and consistent quantification of network nodes under a multitude of perturbed conditions. For the precise quantification of a finite list of proteins across a wide range of samples, targeted proteomics exemplified by selected/multiple reaction monitoring (SRM, MRM) mass spectrometry has proven useful and has been applied to a variety of questions in systems biology and clinical studies. Here, we survey the literature of studies using SRM-MS in systems biology and clinical proteomics. Systems biology studies frequently examine fundamental questions in network biology, whereas clinical studies frequently focus on biomarker discovery and validation in a variety of diseases including cardiovascular disease and cancer. Targeted proteomics promises to advance our understanding of biological networks and the phenotypic significance of specific network states and to advance biomarkers into clinical use.

Indexed as

ProteomicsSystems BiologyTranslational Research, BiomedicalHumansClinical proteomicsMultiple reaction monitoringSelected reaction monitoringSystems biologyTargeted proteomics

Identifiers

PMID26097198
PMCPMC4758406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.