Literature DB >> 17584973

Neuropeptidomics to study peptide processing in animal models of obesity.

Lloyd D Fricker1.   

Abstract

Neuropeptidomics is the analysis of the neuropeptides present in a tissue extract. Most neuropeptidomic studies use mass spectrometry to detect and identify the peptides, which provides information on the precise posttranslationally modified form of each peptide. Quantitative peptidomics uses isotopic labels to compare the levels of peptides in extracts from two different samples. This technique is ideal for examining neuropeptide levels in a variety of systems and is especially suited for studies of mice lacking peptide-processing enzymes. This review is focused on the neuropeptidomics technique and its application to the analysis of mice with a mutation that inactivates carboxypeptidase E, a critical enzyme in the biosynthesis of many neuroendocrine peptides. Mice without carboxypeptidase E activity are overweight, and a key question is the identification of the peptide or peptides responsible. The quantitative peptidomics approach has provided some insights toward the answer to this question.

Entities:  

Mesh:

Substances:

Year:  2007        PMID: 17584973     DOI: 10.1210/en.2007-0123

Source DB:  PubMed          Journal:  Endocrinology        ISSN: 0013-7227            Impact factor:   4.736


  23 in total

Review 1.  New roles of carboxypeptidase E in endocrine and neural function and cancer.

Authors:  Niamh X Cawley; William C Wetsel; Saravana R K Murthy; Joshua J Park; Karel Pacak; Y Peng Loh
Journal:  Endocr Rev       Date:  2012-03-07       Impact factor: 19.871

2.  Analysis of Endogenous D-Amino Acid-Containing Peptides in Metazoa.

Authors:  Lu Bai; Sarah Sheeley; Jonathan V Sweedler
Journal:  Bioanal Rev       Date:  2009-12

3.  Novel endogenous peptide agonists of cannabinoid receptors.

Authors:  Ivone Gomes; Julia S Grushko; Urszula Golebiewska; Sascha Hoogendoorn; Achla Gupta; Andrea S Heimann; Emer S Ferro; Suzanne Scarlata; Lloyd D Fricker; Lakshmi A Devi
Journal:  FASEB J       Date:  2009-04-20       Impact factor: 5.191

4.  Role of a pro-sequence in the secretory pathway of prothyrotropin-releasing hormone.

Authors:  Amparo Romero; Isin Cakir; Charles A Vaslet; Ronald C Stuart; Omar Lansari; Hector A Lucero; Eduardo A Nillni
Journal:  J Biol Chem       Date:  2008-09-08       Impact factor: 5.157

5.  NeuroPedia: neuropeptide database and spectral library.

Authors:  Yoona Kim; Steven Bark; Vivian Hook; Nuno Bandeira
Journal:  Bioinformatics       Date:  2011-08-05       Impact factor: 6.937

6.  High-definition de novo sequencing of crustacean hyperglycemic hormone (CHH)-family neuropeptides.

Authors:  Chenxi Jia; Limei Hui; Weifeng Cao; Christopher B Lietz; Xiaoyue Jiang; Ruibing Chen; Adam D Catherman; Paul M Thomas; Ying Ge; Neil L Kelleher; Lingjun Li
Journal:  Mol Cell Proteomics       Date:  2012-10-01       Impact factor: 5.911

Review 7.  Analysis of mouse brain peptides using mass spectrometry-based peptidomics: implications for novel functions ranging from non-classical neuropeptides to microproteins.

Authors:  Lloyd D Fricker
Journal:  Mol Biosyst       Date:  2010-04-28

Review 8.  The spectral networks paradigm in high throughput mass spectrometry.

Authors:  Adrian Guthals; Jeramie D Watrous; Pieter C Dorrestein; Nuno Bandeira
Journal:  Mol Biosyst       Date:  2012-10

Review 9.  Neuropeptidomic components generated by proteomic functions in secretory vesicles for cell-cell communication.

Authors:  Vivian Hook; Steven Bark; Nitin Gupta; Mark Lortie; Weiya D Lu; Nuno Bandeira; Lydiane Funkelstein; Jill Wegrzyn; Daniel T O'Connor; Pavel Pevzner
Journal:  AAPS J       Date:  2010-08-24       Impact factor: 4.009

Review 10.  Regulation of the hypothalamic thyrotropin releasing hormone (TRH) neuron by neuronal and peripheral inputs.

Authors:  Eduardo A Nillni
Journal:  Front Neuroendocrinol       Date:  2010-01-13       Impact factor: 8.606

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.