Literature DB >> 17704182

Nonnative protein polymers: structure, morphology, and relation to nucleation and growth.

William F Weiss1, Travis K Hodgdon, Eric W Kaler, Abraham M Lenhoff, Christopher J Roberts.   

Abstract

Thermally induced aggregates of alpha-chymotrypsinogen A and bovine granulocyte-colony stimulating factor in acidic solutions were characterized by a combination of static and dynamic light scattering, spectroscopy, transmission electron microscopy, and monomer loss kinetics. The resulting soluble, high-molecular weight aggregates (approximately 10(3)-10(5) kDa) are linear, semiflexible polymer chains that do not appreciably associate with one another under the conditions at which they were formed, with classic power-law scaling of the radius of gyration and hydrodynamic radius with weight-average molecular weight (M(w)). Aggregates in both systems are composed of nonnative monomers with elevated levels of beta-sheet secondary structure, and bind thioflavine T. In general, the aggregate size distributions showed low polydispersity by light scattering. Together with the inverse scaling of M(w) with protein concentration, the results clearly indicate that aggregation proceeds via nucleated (chain) polymerization. For alpha-chymotrypsinogen A, the scaling behavior is combined with the kinetics of aggregation to deduce separate values for the characteristic timescales for nucleation (tau(n)) and growth (tau(g)), as well as the stoichiometry of the nucleus (x). The analysis illustrates a general procedure to noninvasively and quantitatively determine tau(n), tau(g), and x for soluble (chain polymer) aggregates, as well as the relationship between tau(n)/tau(g) and aggregate M(w).

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Year:  2007        PMID: 17704182      PMCID: PMC2098717          DOI: 10.1529/biophysj.107.112102

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  57 in total

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2.  Methods for enhancing the accuracy and reproducibility of Congo red and thioflavin T assays.

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Journal:  Anal Biochem       Date:  2006-03-27       Impact factor: 3.365

3.  Inhibition of insulin fibrillogenesis with targeted peptides.

Authors:  Todd J Gibson; Regina M Murphy
Journal:  Protein Sci       Date:  2006-04-05       Impact factor: 6.725

Review 4.  Molecular simulation of protein aggregation.

Authors:  Dusan Bratko; Troy Cellmer; John M Prausnitz; Harvey W Blanch
Journal:  Biotechnol Bioeng       Date:  2007-01-01       Impact factor: 4.530

5.  Polymerization mechanism of polypeptide chain aggregation.

Authors:  M A Speed; J King; D I Wang
Journal:  Biotechnol Bioeng       Date:  1997-05-20       Impact factor: 4.530

Review 6.  Protein aggregation: folding aggregates, inclusion bodies and amyloid.

Authors:  A L Fink
Journal:  Fold Des       Date:  1998

7.  Irreversible aggregation of recombinant bovine granulocyte-colony stimulating factor (bG-CSF) and implications for predicting protein shelf life.

Authors:  Christopher J Roberts; Richard T Darrington; Maureen B Whitley
Journal:  J Pharm Sci       Date:  2003-05       Impact factor: 3.534

Review 8.  Structure and morphology of the Alzheimer's amyloid fibril.

Authors:  Thusnelda Stromer; Louise C Serpell
Journal:  Microsc Res Tech       Date:  2005-07       Impact factor: 2.769

9.  Crystal structure of canine and bovine granulocyte-colony stimulating factor (G-CSF).

Authors:  B Lovejoy; D Cascio; D Eisenberg
Journal:  J Mol Biol       Date:  1993-12-05       Impact factor: 5.469

10.  Thioflavine T interaction with synthetic Alzheimer's disease beta-amyloid peptides: detection of amyloid aggregation in solution.

Authors:  H LeVine
Journal:  Protein Sci       Date:  1993-03       Impact factor: 6.725

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  17 in total

1.  Aggregates of α-chymotrypsinogen anneal to access more stable states.

Authors:  Ronald W Maurer; Alan K Hunter; Anne S Robinson; Christopher J Roberts
Journal:  Biotechnol Bioeng       Date:  2013-11-18       Impact factor: 4.530

2.  Modulation of self-association and subsequent fibril formation in an alanine-rich helical polypeptide.

Authors:  Ayben Top; Kristi L Kiick; Christopher J Roberts
Journal:  Biomacromolecules       Date:  2008-05-02       Impact factor: 6.988

3.  A coarse-grained model for polyglutamine aggregation modulated by amphipathic flanking sequences.

Authors:  Kiersten M Ruff; Siddique J Khan; Rohit V Pappu
Journal:  Biophys J       Date:  2014-09-02       Impact factor: 4.033

4.  Modulating non-native aggregation and electrostatic protein-protein interactions with computationally designed single-point mutations.

Authors:  C J O'Brien; M A Blanco; J A Costanzo; M Enterline; E J Fernandez; A S Robinson; C J Roberts
Journal:  Protein Eng Des Sel       Date:  2016-05-09       Impact factor: 1.650

5.  Mercury(II) binds to both of chymotrypsin's histidines, causing inhibition followed by irreversible denaturation/aggregation.

Authors:  Amanda Stratton; Matthew Ericksen; Travis V Harris; Nick Symmonds; Todd P Silverstein
Journal:  Protein Sci       Date:  2017-01-14       Impact factor: 6.725

6.  Parallel chromatography and in situ scattering to interrogate competing protein aggregation pathways.

Authors:  Diana Gomes; Rebecca K Kalman; Rebecca K Pagels; Miguel A Rodrigues; Christopher J Roberts
Journal:  Protein Sci       Date:  2018-06-13       Impact factor: 6.725

Review 7.  Therapeutic protein aggregation: mechanisms, design, and control.

Authors:  Christopher J Roberts
Journal:  Trends Biotechnol       Date:  2014-06-04       Impact factor: 19.536

Review 8.  Protein aggregation and its impact on product quality.

Authors:  Christopher J Roberts
Journal:  Curr Opin Biotechnol       Date:  2014-08-28       Impact factor: 9.740

9.  Lumry-Eyring nucleated-polymerization model of protein aggregation kinetics. 2. Competing growth via condensation and chain polymerization.

Authors:  Yi Li; Christopher J Roberts
Journal:  J Phys Chem B       Date:  2009-05-14       Impact factor: 2.991

10.  Controlling assembly of helical polypeptides via PEGylation strategies.

Authors:  Ayben Top; Sheng Zhong; Congqi Yan; Christopher J Roberts; Darrin J Pochan; Kristi L Kiick
Journal:  Soft Matter       Date:  2011-10-20       Impact factor: 3.679

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