Literature DB >> 30575424

Exploring neuropeptide signalling through proteomics and peptidomics.

Samantha Louise Edwards1, Lucas Mergan1, Bhavesh Parmar1, Bram Cockx1, Wouter De Haes1, Liesbet Temmerman1, Liliane Schoofs1.   

Abstract

INTRODUCTION: Neuropeptides are neuro-endocrine signaling molecules capable of signaling as neurotransmitters, neuromodulators or neurohormones. Studying how neuropeptide signaling is integrated in endocrine pathways and how neuropeptides regulate endogenous processes is crucial to understanding how multicellular organisms respond to environmental and internal cues. Areas covered: This review will cover proteomics and peptidomics approaches used in researching peptide signaling systems and breakthroughs that were achieved in this field. Both differential mass spectrometry and reverse genetic approaches are commonly used to study neuropeptidergic signaling. The field of proteomics quickly developed in the past decades and expanded from gel-based approaches to include advanced liquid chromatography and mass spectrometry. We explore how proteomics is used to reveal neuropeptide maturation and identify downstream targets of neuropeptide signaling pathways. We show how peptidomics differs from standard proteomics approaches and how it is used to study both neuropeptide processing and signal pathway identification. Expert commentary: Thanks to recent advancements in isolation techniques and increased sensitivity of equipment, proteomics and peptidomics studies of neuropeptide signaling are contributing increasingly to elucidating functional implications of endocrine signaling. Further technical progress should allow for full peptidomic profiling of single neurons, eventually providing us with a complete comprehension of endocrine signaling.

Keywords:  Mass spectrometry; neuropeptide maturation; neuropeptide signalling; neuropeptides; neuroproteomics; peptidomics

Mesh:

Substances:

Year:  2018        PMID: 30575424     DOI: 10.1080/14789450.2019.1559733

Source DB:  PubMed          Journal:  Expert Rev Proteomics        ISSN: 1478-9450            Impact factor:   3.940


  2 in total

1.  Fast Deisotoping Algorithm and Its Implementation in the MSFragger Search Engine.

Authors:  Guo Ci Teo; Daniel A Polasky; Fengchao Yu; Alexey I Nesvizhskii
Journal:  J Proteome Res       Date:  2020-12-17       Impact factor: 4.466

2.  Peptidomics of Haemonchus contortus.

Authors:  Armelle Buzy; Camille Allain; John Harrington; Dominique Lesuisse; Vincent Mikol; David F Bruhn; Aaron G Maule; Jean-Claude Guillemot
Journal:  ACS Omega       Date:  2021-04-07
  2 in total

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