Literature DB >> 21094684

Exploring the spatial and temporal organization of a cell's proteome.

Martin Beck1, Maya Topf, Zachary Frazier, Harianto Tjong, Min Xu, Shihua Zhang, Frank Alber.   

Abstract

To increase our current understanding of cellular processes, such as cell signaling and division, knowledge is needed about the spatial and temporal organization of the proteome at different organizational levels. These levels cover a wide range of length and time scales: from the atomic structures of macromolecules for inferring their molecular function, to the quantitative description of their abundance, and spatial distribution in the cell. Emerging new experimental technologies are greatly increasing the availability of such spatial information on the molecular organization in living cells. This review addresses three fields that have significantly contributed to our understanding of the proteome's spatial and temporal organization: first, methods for the structure determination of individual macromolecular assemblies, specifically the fitting of atomic structures into density maps generated from electron microscopy techniques; second, research that visualizes the spatial distributions of these complexes within the cellular context using cryo electron tomography techniques combined with computational image processing; and third, methods for the spatial modeling of the dynamic organization of the proteome, specifically those methods for simulating reaction and diffusion of proteins and complexes in crowded intracellular fluids. The long-term goal is to integrate the varied data about a proteome's organization into a spatially explicit, predictive model of cellular processes.
Copyright © 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 21094684      PMCID: PMC3784337          DOI: 10.1016/j.jsb.2010.11.011

Source DB:  PubMed          Journal:  J Struct Biol        ISSN: 1047-8477            Impact factor:   2.867


  176 in total

1.  Conformational change of proteins arising from normal mode calculations.

Authors:  F Tama; Y H Sanejouand
Journal:  Protein Eng       Date:  2001-01

2.  Comment on "Stiffness in stochastic chemically reacting systems: the implicit tau-leaping method" [J. Chem. Phys. 119, 12784 (2003)].

Authors:  Katrien De Cock; Xueying Zhang; Mónica F Bugallo; Petar M Djurić
Journal:  J Chem Phys       Date:  2004-08-15       Impact factor: 3.488

Review 3.  Usefulness and limitations of normal mode analysis in modeling dynamics of biomolecular complexes.

Authors:  Jianpeng Ma
Journal:  Structure       Date:  2005-03       Impact factor: 5.006

4.  Stochastic reaction-diffusion simulation with MesoRD.

Authors:  Johan Hattne; David Fange; Johan Elf
Journal:  Bioinformatics       Date:  2005-04-07       Impact factor: 6.937

5.  Substrate concentration dependence of the diffusion-controlled steady-state rate constant.

Authors:  J Dzubiella; J A McCammon
Journal:  J Chem Phys       Date:  2005-05-08       Impact factor: 3.488

Review 6.  A visual approach to proteomics.

Authors:  Stephan Nickell; Christine Kofler; Andrew P Leis; Wolfgang Baumeister
Journal:  Nat Rev Mol Cell Biol       Date:  2006-03       Impact factor: 94.444

7.  Snapshots of nuclear pore complexes in action captured by cryo-electron tomography.

Authors:  Martin Beck; Vladan Lucić; Friedrich Förster; Wolfgang Baumeister; Ohad Medalia
Journal:  Nature       Date:  2007-09-12       Impact factor: 49.962

8.  YUP.SCX: coaxing atomic models into medium resolution electron density maps.

Authors:  Robert K-Z Tan; Batsal Devkota; Stephen C Harvey
Journal:  J Struct Biol       Date:  2008-05-16       Impact factor: 2.867

9.  Diffusion, crowding & protein stability in a dynamic molecular model of the bacterial cytoplasm.

Authors:  Sean R McGuffee; Adrian H Elcock
Journal:  PLoS Comput Biol       Date:  2010-03-05       Impact factor: 4.475

Review 10.  Membrane protein structure determination using cryo-electron tomography and 3D image averaging.

Authors:  Alberto Bartesaghi; Sriram Subramaniam
Journal:  Curr Opin Struct Biol       Date:  2009-07-29       Impact factor: 6.809

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  14 in total

1.  A computational approach to increase time scales in Brownian dynamics-based reaction-diffusion modeling.

Authors:  Zachary Frazier; Frank Alber
Journal:  J Comput Biol       Date:  2012-06       Impact factor: 1.479

2.  Gradient-based high precision alignment of cryo-electron subtomograms.

Authors:  Min Xu; Frank Alber
Journal:  IEEE Int Conf Systems Biol       Date:  2011

3.  High-throughput subtomogram alignment and classification by Fourier space constrained fast volumetric matching.

Authors:  Min Xu; Martin Beck; Frank Alber
Journal:  J Struct Biol       Date:  2012-03-07       Impact factor: 2.867

Review 4.  Whole-Cell Models and Simulations in Molecular Detail.

Authors:  Michael Feig; Yuji Sugita
Journal:  Annu Rev Cell Dev Biol       Date:  2019-07-12       Impact factor: 13.827

Review 5.  Principles and Overview of Sampling Methods for Modeling Macromolecular Structure and Dynamics.

Authors:  Tatiana Maximova; Ryan Moffatt; Buyong Ma; Ruth Nussinov; Amarda Shehu
Journal:  PLoS Comput Biol       Date:  2016-04-28       Impact factor: 4.475

6.  Computational methods for constructing protein structure models from 3D electron microscopy maps.

Authors:  Juan Esquivel-Rodríguez; Daisuke Kihara
Journal:  J Struct Biol       Date:  2013-06-21       Impact factor: 2.867

Review 7.  Reaching new levels of realism in modeling biological macromolecules in cellular environments.

Authors:  Michael Feig; Yuji Sugita
Journal:  J Mol Graph Model       Date:  2013-08-28       Impact factor: 2.518

8.  ATTRACT-EM: a new method for the computational assembly of large molecular machines using cryo-EM maps.

Authors:  Sjoerd J de Vries; Martin Zacharias
Journal:  PLoS One       Date:  2012-12-14       Impact factor: 3.240

9.  Automated target segmentation and real space fast alignment methods for high-throughput classification and averaging of crowded cryo-electron subtomograms.

Authors:  Min Xu; Frank Alber
Journal:  Bioinformatics       Date:  2013-07-01       Impact factor: 6.937

10.  High precision alignment of cryo-electron subtomograms through gradient-based parallel optimization.

Authors:  Min Xu; Frank Alber
Journal:  BMC Syst Biol       Date:  2012-07-16
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