Literature DB >> 23806756

A multi-scale strategy for discovery of novel endogenous neuropeptides in the crustacean nervous system.

Chenxi Jia1, Christopher B Lietz, Hui Ye, Limei Hui, Qing Yu, Sujin Yoo, Lingjun Li.   

Abstract

The conventional mass spectrometry (MS)-based strategy is often inadequate for the comprehensive characterization of various size neuropeptides without the assistance of genomic information. This study evaluated sequence coverage of different size neuropeptides in two crustacean species, blue crab Callinectes sapidus and Jonah crab Cancer borealis using conventional MS methodologies and revealed limitations to mid- and large-size peptide analysis. Herein we attempt to establish a multi-scale strategy for simultaneous and confident sequence elucidation of various sizes of peptides in the crustacean nervous system. Nine novel neuropeptides spanning a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ, the sinus gland of the spiny lobster Panulirus interruptus. These novel neuropeptides included seven allatostatin (A- and B-type) peptides, one crustacean hyperglycemic hormone precursor-related peptide, and one crustacean hyperglycemic hormone. Highly accurate multi-scale characterization of a collection of varied size neuropeptides was achieved by integrating traditional data-dependent tandem MS, improved bottom-up sequencing, multiple fragmentation technique-enabled top-down sequencing, chemical derivatization, and in silico homology search. Collectively, the ability to characterize a neuropeptidome with vastly differing molecule sizes from a neural tissue extract could find great utility in unraveling complex signaling peptide mixtures employed by other biological systems. BIOLOGICAL SIGNIFICANCE: Mass spectrometry (MS)-based neuropeptidomics aims to completely characterize the neuropeptides in a target organism as an important first step toward a better understanding of the structure and function of these complex signaling molecules. Although liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) with data-dependent acquisition is a powerful tool in peptidomic research, it often lacks the capability for de novo sequencing of mid-size and large peptides due to inefficient fragmentation of peptides larger than 4kDa. This study describes a multi-scale strategy for complete and confident sequence elucidation of various sizes of neuropeptides in the crustacean nervous system. The aim is to fill a technical gap where the conventional strategy is inefficient for comprehensive characterization of a complex neuropeptidome without assistance of genomic information. Nine novel neuropeptides in a wide range of molecular weights (0.9-8.2kDa) were fully sequenced from a major neuroendocrine organ of the spiny lobster, P. interruptus. The resulting molecular information extracted from such multi-scale peptidomic analysis will greatly accelerate functional studies of these novel neuropeptides.
Copyright © 2013 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Crustacean; De novo sequencing; Mass spectrometry; Neuropeptide; Peptidomics

Mesh:

Substances:

Year:  2013        PMID: 23806756      PMCID: PMC3825776          DOI: 10.1016/j.jprot.2013.06.021

Source DB:  PubMed          Journal:  J Proteomics        ISSN: 1874-3919            Impact factor:   4.044


  47 in total

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Authors:  James A Dowell; William Vander Heyden; Lingjun Li
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2.  Panulirus interruptus Ih-channel gene PIIH: modification of channel properties by alternative splicing and role in rhythmic activity.

Authors:  Qing Ouyang; Marie Goeritz; Ronald M Harris-Warrick
Journal:  J Neurophysiol       Date:  2007-04-04       Impact factor: 2.714

3.  Top-down high-resolution mass spectrometry of cardiac myosin binding protein C revealed that truncation alters protein phosphorylation state.

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4.  A century of progress in molecular mass spectrometry.

Authors:  Fred W McLafferty
Journal:  Annu Rev Anal Chem (Palo Alto Calif)       Date:  2011       Impact factor: 10.745

5.  A novel quantitative proteomics workflow by isobaric terminal labeling.

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Journal:  J Proteomics       Date:  2012-07-17       Impact factor: 4.044

6.  Distinguishing endogenous D-amino acid-containing neuropeptides in individual neurons using tandem mass spectrometry.

Authors:  Lu Bai; Elena V Romanova; Jonathan V Sweedler
Journal:  Anal Chem       Date:  2011-03-09       Impact factor: 6.986

7.  Combining bottom-up and top-down mass spectrometric strategies for de novo sequencing of the crustacean hyperglycemic hormone from Cancer borealis.

Authors:  Mingming Ma; Ruibing Chen; Ying Ge; Huan He; Alan G Marshall; Lingjun Li
Journal:  Anal Chem       Date:  2009-01-01       Impact factor: 6.986

8.  Expanding the Crustacean neuropeptidome using a multifaceted mass spectrometric approach.

Authors:  Mingming Ma; Junhua Wang; Ruibing Chen; Lingjun Li
Journal:  J Proteome Res       Date:  2009-05       Impact factor: 4.466

9.  Characterization of the Carcinus maenas neuropeptidome by mass spectrometry and functional genomics.

Authors:  Mingming Ma; Eleanor K Bors; Evelyn S Dickinson; Molly A Kwiatkowski; Gregory L Sousa; Raymond P Henry; Christine M Smith; David W Towle; Andrew E Christie; Lingjun Li
Journal:  Gen Comp Endocrinol       Date:  2009-01-31       Impact factor: 2.822

Review 10.  The CHH-superfamily of multifunctional peptide hormones controlling crustacean metabolism, osmoregulation, moulting, and reproduction.

Authors:  Simon George Webster; Rainer Keller; Heinrich Dircksen
Journal:  Gen Comp Endocrinol       Date:  2011-11-29       Impact factor: 2.822

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  19 in total

1.  Identification of best indicators of peptide-spectrum match using a permutation resampling approach.

Authors:  Malik N Akhtar; Bruce R Southey; Per E Andrén; Jonathan V Sweedler; Sandra L Rodriguez-Zas
Journal:  J Bioinform Comput Biol       Date:  2014-10       Impact factor: 1.122

2.  Identification of putative neuropeptidergic signaling systems in the spiny lobster, Panulirus argus.

Authors:  Andrew E Christie
Journal:  Invert Neurosci       Date:  2020-01-24

3.  Signature-Ion-Triggered Mass Spectrometry Approach Enabled Discovery of N- and O-Linked Glycosylated Neuropeptides in the Crustacean Nervous System.

Authors:  Qinjingwen Cao; Qing Yu; Yang Liu; Zhengwei Chen; Lingjun Li
Journal:  J Proteome Res       Date:  2020-01-13       Impact factor: 4.466

4.  Data Independent Acquisition Mass Spectrometry Method for Improved Neuropeptidomic Coverage in Crustacean Neural Tissue Extracts.

Authors:  Kellen DeLaney; Lingjun Li
Journal:  Anal Chem       Date:  2019-04-04       Impact factor: 6.986

5.  Defining the Neuropeptidome of the Spiny Lobster Panulirus interruptus Brain Using a Multidimensional Mass Spectrometry-Based Platform.

Authors:  Hui Ye; Jingxin Wang; Zichuan Zhang; Chenxi Jia; Claire Schmerberg; Adam D Catherman; Paul M Thomas; Neil L Kelleher; Lingjun Li
Journal:  J Proteome Res       Date:  2015-10-05       Impact factor: 4.466

6.  Peptidomics of Neuropeptidergic Tissues of the Tsetse Fly Glossina morsitans morsitans.

Authors:  Jelle Caers; Kurt Boonen; Jan Van Den Abbeele; Liesbeth Van Rompay; Liliane Schoofs; Matthias B Van Hiel
Journal:  J Am Soc Mass Spectrom       Date:  2015-10-13       Impact factor: 3.109

Review 7.  Peptidomics for the discovery and characterization of neuropeptides and hormones.

Authors:  Elena V Romanova; Jonathan V Sweedler
Journal:  Trends Pharmacol Sci       Date:  2015-07-01       Impact factor: 14.819

Review 8.  Mass spectrometric analysis of spatio-temporal dynamics of crustacean neuropeptides.

Authors:  Chuanzi OuYang; Zhidan Liang; Lingjun Li
Journal:  Biochim Biophys Acta       Date:  2014-11-04

9.  Mass spectrometric measurement of neuropeptide secretion in the crab, Cancer borealis, by in vivo microdialysis.

Authors:  Zhidan Liang; Claire M Schmerberg; Lingjun Li
Journal:  Analyst       Date:  2015-06-07       Impact factor: 4.616

10.  Qualitative and quantitative top-down mass spectral analysis of crustacean hyperglycemic hormones in response to feeding.

Authors:  Chenxi Jia; Qing Yu; Jingxin Wang; Lingjun Li
Journal:  Proteomics       Date:  2014-03-20       Impact factor: 3.984

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