Evidence map›Paper›PMID 37250919›Full record

ArticleNature reviews. Methods primers2023

Peptidomics.

Roland Hellinger, Arnar Sigurdsson, Wenxin Wu, Elena V Romanova, Lingjun Li, Jonathan V Sweedler, Roderich D Süssmuth, Christian W Gruber

Abstract read
In one paragraph

Article in Nature reviews. Methods primers, 2023. 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
–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

58 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Analytical chemistry · 2026
    Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Current understanding and future directions in severe asthma through artificial intelligence-integrated multi-omic approaches.European respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  11. Article
  12. Review
  13. Review
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Role of Peptides in Skeletal Muscle Wasting: A Scoping Review.Journal of cachexia, sarcopenia and muscle · 2025
    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

8 authors.

Roland Hellinger *Center for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-8955-8793
Arnar Sigurdsson *Institut für Chemie, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-9617-0829
Wenxin Wu *School of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID https://orcid.org/0000-0001-7896-7877
Elena V Romanova *Department of Chemistry, University of Illinois, Urbana, IL, USA.ORCID https://orcid.org/0000-0002-2040-3312
Lingjun LiSchool of Pharmacy and Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.ORCID https://orcid.org/0000-0003-0056-3869
Jonathan V SweedlerDepartment of Chemistry, University of Illinois, Urbana, IL, USA.ORCID https://orcid.org/0000-0003-3107-9922
Roderich D SüssmuthInstitut für Chemie, Technische Universität Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-7027-2069
Christian W GruberCenter for Physiology and Pharmacology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0001-6060-7048

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI Jonathan V. Sweedler · 2004 to 2026
$24.9M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
SUBCELLULAR CHARACTERIZATION OF NEUROTRANSMITTERSR01NS031609 · NINDS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI SWEEDLER, JONATHAN V. · 1998 to 2022
$6.2M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
NIA NIH HHS R01 AG078794NIA NIH HHS RF1 AG052324NIDA NIH HHS P30 DA018310NIDDK NIH HHS R01 DK071801NINDS NIH HHS R01 NS031609
6 · The paper itself

Abstract

Peptides are biopolymers, typically consisting of 2-50 amino acids. They are biologically produced by the cellular ribosomal machinery or by non-ribosomal enzymes and, sometimes, other dedicated ligases. Peptides are arranged as linear chains or cycles, and include post-translational modifications, unusual amino acids and stabilizing motifs. Their structure and molecular size render them a unique chemical space, between small molecules and larger proteins. Peptides have important physiological functions as intrinsic signalling molecules, such as neuropeptides and peptide hormones, for cellular or interspecies communication, as toxins to catch prey or as defence molecules to fend off enemies and microorganisms. Clinically, they are gaining popularity as biomarkers or innovative therapeutics; to date there are more than 60 peptide drugs approved and more than 150 in clinical development. The emerging field of peptidomics comprises the comprehensive qualitative and quantitative analysis of the suite of peptides in a biological sample (endogenously produced, or exogenously administered as drugs). Peptidomics employs techniques of genomics, modern proteomics, state-of-the-art analytical chemistry and innovative computational biology, with a specialized set of tools. The complex biological matrices and often low abundance of analytes typically examined in peptidomics experiments require optimized sample preparation and isolation, including in silico analysis. This Primer covers the combination of techniques and workflows needed for peptide discovery and characterization and provides an overview of various biological and clinical applications of peptidomics.

Identifiers

PMID37250919
PMCPMC7614574

What OpenQuestion holds

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Registered trials

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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.