Literature DB >> 18979168

Structural model of the CopA copper ATPase of Enterococcus hirae based on chemical cross-linking.

Mathias Lübben1, Reto Portmann, Gerd Kock, Raphael Stoll, Malin M Young, Marc Solioz.   

Abstract

The CopA copper ATPase of Enterococcus hirae belongs to the family of heavy metal pumping CPx-type ATPases and shares 43% sequence similarity with the human Menkes and Wilson copper ATPases. Due to a lack of suitable protein crystals, only partial three-dimensional structures have so far been obtained for this family of ion pumps. We present a structural model of CopA derived by combining topological information obtained by intramolecular cross-linking with molecular modeling. Purified CopA was cross-linked with different bivalent reagents, followed by tryptic digestion and identification of cross-linked peptides by mass spectrometry. The structural proximity of tryptic fragments provided information about the structural arrangement of the hydrophilic protein domains, which was integrated into a three-dimensional model of CopA. Comparative modeling of CopA was guided by the sequence similarity to the calcium ATPase of the sarcoplasmic reticulum, Serca1, for which detailed structures are available. In addition, known partial structures of CPx-ATPase homologous to CopA were used as modeling templates. A docking approach was used to predict the orientation of the heavy metal binding domain of CopA relative to the core structure, which was verified by distance constraints derived from cross-links. The overall structural model of CopA resembles the Serca1 structure, but reveals distinctive features of CPx-type ATPases. A prominent feature is the positioning of the heavy metal binding domain. It features an orientation of the Cu binding ligands which is appropriate for the interaction with Cu-loaded metallochaperones in solution. Moreover, a novel model of the architecture of the intramembranous Cu binding sites could be derived.

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Year:  2008        PMID: 18979168     DOI: 10.1007/s10534-008-9173-4

Source DB:  PubMed          Journal:  Biometals        ISSN: 0966-0844            Impact factor:   2.949


  11 in total

1.  Elucidating the higher-order structure of biopolymers by structural probing and mass spectrometry: MS3D.

Authors:  Daniele Fabris; Eizadora T Yu
Journal:  J Mass Spectrom       Date:  2010-08       Impact factor: 1.982

2.  Nucleotide recognition by CopA, a Cu+-transporting P-type ATPase.

Authors:  Takeo Tsuda; Chikashi Toyoshima
Journal:  EMBO J       Date:  2009-05-28       Impact factor: 11.598

Review 3.  Response of gram-positive bacteria to copper stress.

Authors:  Marc Solioz; Helge K Abicht; Mélanie Mermod; Stefano Mancini
Journal:  J Biol Inorg Chem       Date:  2009-09-23       Impact factor: 3.358

Review 4.  Structural biology of copper trafficking.

Authors:  Amie K Boal; Amy C Rosenzweig
Journal:  Chem Rev       Date:  2009-10       Impact factor: 60.622

Review 5.  Structural organization of human Cu-transporting ATPases: learning from building blocks.

Authors:  Amanda N Barry; Ujwal Shinde; Svetlana Lutsenko
Journal:  J Biol Inorg Chem       Date:  2009-10-23       Impact factor: 3.358

6.  The architecture of CopA from Archeaoglobus fulgidus studied by cryo-electron microscopy and computational docking.

Authors:  Gregory S Allen; Chen-Chou Wu; Tim Cardozo; David L Stokes
Journal:  Structure       Date:  2011-08-04       Impact factor: 5.006

Review 7.  Cellular copper distribution: a mechanistic systems biology approach.

Authors:  Lucia Banci; Ivano Bertini; Francesca Cantini; Simone Ciofi-Baffoni
Journal:  Cell Mol Life Sci       Date:  2010-03-24       Impact factor: 9.261

8.  Toward a molecular understanding of metal transport by P(1B)-type ATPases.

Authors:  Amy C Rosenzweig; José M Argüello
Journal:  Curr Top Membr       Date:  2012       Impact factor: 3.049

9.  Impact of manganese, copper and zinc ions on the transcriptome of the nosocomial pathogen Enterococcus faecalis V583.

Authors:  Marta Coelho Abrantes; Maria de Fátima Lopes; Jan Kok
Journal:  PLoS One       Date:  2011-10-28       Impact factor: 3.240

10.  Assessing the genetic diversity of Cu resistance in mine tailings through high-throughput recovery of full-length copA genes.

Authors:  Xiaofang Li; Yong-Guan Zhu; Babak Shaban; Timothy J C Bruxner; Philip L Bond; Longbin Huang
Journal:  Sci Rep       Date:  2015-08-19       Impact factor: 4.379

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