Literature DB >> 20718491

Preservation of field samples for enzymatic and proteomic characterization: analysis of proteins from the trophallactic fluid of hornets and yellowjackets.

Violet A Roskens1, James M Carpenter, Kurt M Pickett, Bryan A Ballif.   

Abstract

Proteomics is fast becoming one of the most interdisciplinary fields, bridging many chemical and biological disciplines. Major challenges, however, can limit the reach of proteomics to studies of model organisms. Challenges include the adequate preservation of field samples and the reliance of in-depth proteomics on sequenced genomes. Seeking to better establish the evolutionary relationships of hornets and yellowjackets comprising the subfamily Vespinae, we are combining classical morphological and genomic information with a functional genomics trait using proteomics. Vespine species form highly social colonies and exhibit division of labor in almost all aspects of colony life. An extreme digestive division of labor has been reported in Vespa orientalis, in which larvae but not adult workers exhibit the capacity to digest proteins fully. This makes the colony dependent upon the amino acid-rich trophallactic fluid released to adults by larvae and implies that the V. orientalis superorganism possesses larval-specific proteases. Identifying the proteases and the species exhibiting such extreme partitioning of digestive labor will allow for tracing the phylogenetic origins and elaboration of that digestive partitioning in the Vespinae. Herein we describe methods, generally applicable to field samples, showing the preservation of proteins and proteolytic activity from adult and larval vespine trophallactic fluid.

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Year:  2010        PMID: 20718491      PMCID: PMC2948579          DOI: 10.1021/pr100284n

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  12 in total

1.  Charting the proteomes of organisms with unsequenced genomes by MALDI-quadrupole time-of-flight mass spectrometry and BLAST homology searching.

Authors:  A Shevchenko; S Sunyaev; A Loboda; A Shevchenko; P Bork; W Ens; K G Standing
Journal:  Anal Chem       Date:  2001-05-01       Impact factor: 6.986

2.  PepNovo: de novo peptide sequencing via probabilistic network modeling.

Authors:  Ari Frank; Pavel Pevzner
Journal:  Anal Chem       Date:  2005-02-15       Impact factor: 6.986

3.  Target-decoy search strategy for increased confidence in large-scale protein identifications by mass spectrometry.

Authors:  Joshua E Elias; Steven P Gygi
Journal:  Nat Methods       Date:  2007-03       Impact factor: 28.547

4.  Sequence similarity-driven proteomics in organisms with unknown genomes by LC-MS/MS and automated de novo sequencing.

Authors:  Patrice Waridel; Ari Frank; Henrik Thomas; Vineeth Surendranath; Shamil Sunyaev; Pavel Pevzner; Andrej Shevchenko
Journal:  Proteomics       Date:  2007-07       Impact factor: 3.984

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Authors:  H E Hagenmaier
Journal:  Experientia       Date:  1971-08

6.  [On the evolution of endopeptidases. VII. A protease of molecular weight 12500 with chymotryptic properties from larvae of Vespa orientalis].

Authors:  H H Sonneborn; G Pfleiderer
Journal:  Hoppe Seylers Z Physiol Chem       Date:  1969-03

7.  Large-scale identification and evolution indexing of tyrosine phosphorylation sites from murine brain.

Authors:  Bryan A Ballif; G Richard Carey; Shamil R Sunyaev; Steven P Gygi
Journal:  J Proteome Res       Date:  2007-11-23       Impact factor: 4.466

8.  Protein identification pipeline for the homology-driven proteomics.

Authors:  Magno Junqueira; Victor Spirin; Tiago Santana Balbuena; Henrik Thomas; Ivan Adzhubei; Shamil Sunyaev; Andrej Shevchenko
Journal:  J Proteomics       Date:  2008-07-12       Impact factor: 4.044

Review 9.  Tools for exploring the proteomosphere.

Authors:  Andrej Shevchenko; Cristina-Maria Valcu; Magno Junqueira
Journal:  J Proteomics       Date:  2009-01-22       Impact factor: 4.044

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Authors:  R Ikan; E D Bergmann; J Ishay; S Gitter
Journal:  Life Sci       Date:  1968-09-15       Impact factor: 5.037

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  1 in total

1.  Disruption of SMIM1 causes the Vel- blood type.

Authors:  Bryan A Ballif; Virginie Helias; Thierry Peyrard; Cécile Menanteau; Carole Saison; Nicole Lucien; Sébastien Bourgouin; Maude Le Gall; Jean-Pierre Cartron; Lionel Arnaud
Journal:  EMBO Mol Med       Date:  2013-04-15       Impact factor: 12.137

  1 in total

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