Evidence map›Paper›PMID 26143240›Full record

ReviewTrends in pharmacological sciences2015

Peptidomics for the discovery and characterization of neuropeptides and hormones.

Elena V Romanova, Jonathan V Sweedler

Open access · greenAbstract readReview
In one paragraph

Review in Trends in pharmacological sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 58 papers.

0numbers the graph read from it
0cells of the map it votes in
58citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

58 citing papers in PubMed, 91 citations in OpenAlex.

  1. Review
  2. Do GPCRs constitute the target of 30% of newly approved drugs in Germany?Naunyn-Schmiedeberg's archives of pharmacology · 2026
    Article
  3. Mass Spectrometry-Based Validation of Chimeric RNAs.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Peptides Used for Heavy Metal Remediation: A Promising Approach.International journal of molecular sciences · 2024
    Review
  11. AdvancingPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  12. Review
  13. Bioinformatics for Prohormone and Neuropeptide Discovery.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  14. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

2 authors at 1 institution in 1 country.

Elena V RomanovaDepartment of Chemistry, University of Illinois at Urbana-Champaign, 600 S. Mathews Avenue, Urbana, IL 61801, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.
Jonathan V SweedlerDepartment of Chemistry, University of Illinois at Urbana-Champaign, 600 S. Mathews Avenue, Urbana, IL 61801, USA; Beckman Institute, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA. Electronic address: jsweedle@illinois.edu.
University of Illinois Urbana-Champaign · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Elena V Romanova · 2004 to 2026
$24.9M
SUBCELLULAR CHARACTERIZATION OF NEUROTRANSMITTERSR01NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1998 to 2022
$6.2M
Glia classification via single cell metabolomicsR21MH100704 · NIMH · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI RUBAKHIN, STANISLAV S., SWEEDLER, JONATHAN V. · 2013 to 2014
$419k
NIDA NIH HHS P30 DA018310NIMH NIH HHS R21 MH100704NINDS NIH HHS R01 NS031609
6 · The paper itself

Abstract

The discovery of neuropeptides as signaling molecules with paracrine or hormonal regulatory functions has led to trailblazing advances in physiology and fostered the characterization of numerous neuropeptide-binding G protein-coupled receptors (GPCRs) as potential drug targets. The impact on human health has been tremendous: approximately 30% of commercial drugs act via the GPCR pathway. However, about 25% of the GPCRs encoded by the mammalian genome still lack their pharmacological identity. Searching for the orphan GPCR endogenous ligands that are likely to be neuropeptides has proved to be a formidable task. Here we describe the mass spectrometry (MS)-based technologies and experimental strategies that have been successful in achieving high-throughput characterization of endogenous peptides in nervous and endocrine systems.

Indexed as

AnimalsHormonesHumansNeuropeptidesProteomeProteomicsHormonesNeuropeptidesProteomebioinformaticsendogenous peptidesmass spectrometrynervous systemquantitationsequencing

Identifiers

PMID26143240
PMCPMC4562862
OpenAlexW1698062950

What OpenQuestion holds

Textmetadata
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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.