Literature DB >> 16353923

Neuropeptide-processing enzymes: applications for drug discovery.

Lloyd D Fricker1.   

Abstract

Neuropeptides serve many important roles in communication between cells and are an attractive target for drug discovery. Neuropeptides are produced from precursor proteins by selective cleavages at specific sites, and are then broken down by further cleavages. In general, the biosynthetic cleavages occur within the cell and the degradative cleavages occur postsecretion, although there are exceptions where intracellular processing leads to inactivation, or extracellular processing leads to activation of a particular neuropeptide. A relatively small number of peptidases are responsible for processing the majority of neuropeptides, both inside and outside of the cell. Thus, inhibition of any one enzyme will lead to a broad effect on several different neuropeptides and this makes it unlikely that such inhibitors would be useful therapeutics. However, studies with mutant animals that lack functional peptide-processing enzymes have facilitated the discovery of novel neuropeptides, many of which may be appropriate targets for therapeutics.

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Year:  2005        PMID: 16353923      PMCID: PMC2750981          DOI: 10.1208/aapsj070244

Source DB:  PubMed          Journal:  AAPS J        ISSN: 1550-7416            Impact factor:   4.009


  69 in total

Review 1.  Peptidylglycine alpha-amidating monooxygenase: an ascorbate-requiring enzyme.

Authors:  A S Kolhekar; R E Mains; B A Eipper
Journal:  Methods Enzymol       Date:  1997       Impact factor: 1.600

2.  Defective prohormone processing and altered pancreatic islet morphology in mice lacking active SPC2.

Authors:  M Furuta; H Yano; A Zhou; Y Rouillé; J J Holst; R Carroll; M Ravazzola; L Orci; H Furuta; D F Steiner
Journal:  Proc Natl Acad Sci U S A       Date:  1997-06-24       Impact factor: 11.205

3.  Neuropeptide processing profile in mice lacking prohormone convertase-1.

Authors:  Hui Pan; Daniela Nanno; Fa-Yun Che; Xiaorong Zhu; Stephen R Salton; Donald F Steiner; Lloyd D Fricker; Lakshmi A Devi
Journal:  Biochemistry       Date:  2005-03-29       Impact factor: 3.162

4.  Identification and distribution of mouse carboxypeptidase A-6.

Authors:  Jose D Fontenele-Neto; Elena Kalinina; Yun Feng; Lloyd D Fricker
Journal:  Brain Res Mol Brain Res       Date:  2005-04-01

5.  Quantitative peptidomics of mouse pituitary: comparison of different stable isotopic tags.

Authors:  Fa-Yun Che; Lloyd D Fricker
Journal:  J Mass Spectrom       Date:  2005-02       Impact factor: 1.982

6.  Relative quantitation of peptides in wild-type and Cpe(fat/fat) mouse pituitary using stable isotopic tags and mass spectrometry.

Authors:  Fa-Yun Che; Reeta Biswas; Lloyd D Fricker
Journal:  J Mass Spectrom       Date:  2005-02       Impact factor: 1.982

7.  Carboxypeptidase E activity is deficient in mice with the fat mutation. Effect on peptide processing.

Authors:  L D Fricker; Y L Berman; E H Leiter; L A Devi
Journal:  J Biol Chem       Date:  1996-11-29       Impact factor: 5.157

8.  Effect of carboxypeptidase E deficiency on progastrin processing and gastrin messenger ribonucleic acid expression in mice with the fat mutation.

Authors:  V Udupi; P Gomez; L Song; O Varlamov; J T Reed; E H Leiter; L D Fricker; G H Greeley
Journal:  Endocrinology       Date:  1997-05       Impact factor: 4.736

9.  Peptidomics of Cpe fat/fat mouse hypothalamus: effect of food deprivation and exercise on peptide levels.

Authors:  Fa-Yun Che; Quan Yuan; Elena Kalinina; Lloyd D Fricker
Journal:  J Biol Chem       Date:  2004-11-30       Impact factor: 5.157

10.  Endothelin-converting enzyme-2 is a membrane-bound, phosphoramidon-sensitive metalloprotease with acidic pH optimum.

Authors:  N Emoto; M Yanagisawa
Journal:  J Biol Chem       Date:  1995-06-23       Impact factor: 5.157

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  30 in total

Review 1.  Hemopressin and other bioactive peptides from cytosolic proteins: are these non-classical neuropeptides?

Authors:  Julia S Gelman; Lloyd D Fricker
Journal:  AAPS J       Date:  2010-04-10       Impact factor: 4.009

2.  Comparative analysis of neuropeptide cleavage sites in human, mouse, rat, and cattle.

Authors:  Allison N Tegge; Bruce R Southey; Jonathan V Sweedler; Sandra L Rodriguez-Zas
Journal:  Mamm Genome       Date:  2008-01-23       Impact factor: 2.957

3.  Snapshot peptidomics of the regulated secretory pathway.

Authors:  Kazuki Sasaki; Yoshinori Satomi; Toshifumi Takao; Naoto Minamino
Journal:  Mol Cell Proteomics       Date:  2009-03-31       Impact factor: 5.911

4.  Individual carboxypeptidase D domains have both redundant and unique functions in Drosophila development and behavior.

Authors:  Galyna Sidyelyeva; Christian Wegener; Brian P Schoenfeld; Aaron J Bell; Nicholas E Baker; Sean M J McBride; Lloyd D Fricker
Journal:  Cell Mol Life Sci       Date:  2010-04-13       Impact factor: 9.261

5.  Neuropeptidomics of the Rat Habenular Nuclei.

Authors:  Ning Yang; Krishna D B Anapindi; Stanislav S Rubakhin; Pingli Wei; Qing Yu; Lingjun Li; Paul J Kenny; Jonathan V Sweedler
Journal:  J Proteome Res       Date:  2018-03-20       Impact factor: 4.466

6.  A hybrid, de novo based, genome-wide database search approach applied to the sea urchin neuropeptidome.

Authors:  Gerben Menschaert; Tom T M Vandekerckhove; Geert Baggerman; Bart Landuyt; Jonathan V Sweedler; Liliane Schoofs; Walter Luyten; Wim Van Criekinge
Journal:  J Proteome Res       Date:  2010-02-05       Impact factor: 4.466

7.  Genome-wide census and expression profiling of chicken neuropeptide and prohormone convertase genes.

Authors:  K R Delfino; B R Southey; J V Sweedler; S L Rodriguez-Zas
Journal:  Neuropeptides       Date:  2009-12-14       Impact factor: 3.286

8.  Large-scale identification of endogenous secretory peptides using electron transfer dissociation mass spectrometry.

Authors:  Kazuki Sasaki; Tsukasa Osaki; Naoto Minamino
Journal:  Mol Cell Proteomics       Date:  2012-12-18       Impact factor: 5.911

9.  Characterization of the prohormone complement in cattle using genomic libraries and cleavage prediction approaches.

Authors:  Bruce R Southey; Sandra L Rodriguez-Zas; Jonathan V Sweedler
Journal:  BMC Genomics       Date:  2009-05-16       Impact factor: 3.969

Review 10.  Peptidomics methods for the identification of peptidase-substrate interactions.

Authors:  Anna Mari Lone; Yun-Gon Kim; Alan Saghatelian
Journal:  Curr Opin Chem Biol       Date:  2013-01-15       Impact factor: 8.822

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