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Chae Y.K.,Sejong University | Chae Y.K.,University of Wisconsin - Madison | Tonneli M.,National Magnetic Resonance Facility at Madison | Markley J.L.,National Magnetic Resonance Facility at Madison | Markley J.L.,University of Wisconsin - Madison
Protein and Peptide Letters | Year: 2012

The plant peptide hormone ENOD40B was produced in a protein production strain of Escherichia coli harboring an induction controller plasmid (Rosetta(DE3)pLysS) as a His6-tagged ubiquitin fusion protein. The fusion protein product was denatured and refolded as part of the isolation procedure and purified by immobilized metal ion chromatography. The peptide hormone was released from its fusion partner by adding yeast ubiquitin hydrolase (YUH) and subsequently purified by reversed phase chromatography. The purity of the resulting peptide fragment was assayed by MALDITOF mass spectrometry and NMR spectroscopy. The final yields of the target peptide were 7.0 mg per liter of LB medium and 3.4 mg per liter of minimal medium. © 2012 Bentham Science Publishers. Source


Lee W.,National Magnetic Resonance Facility at Madison | Lee W.,University of Wisconsin - Madison | Hu K.,National Magnetic Resonance Facility at Madison | Hu K.,CAS Kunming Institute of Botany | And 6 more authors.
Journal of Magnetic Resonance | Year: 2013

ADAPT-NMR (Assignment-directed Data collection Algorithm utilizing a Probabilistic Toolkit in NMR) supports automated NMR data collection and backbone and side chain assignment for [U-13C, U-15N]- labeled proteins. Given the sequence of the protein and data for the orthogonal 2D 1H-15N and 1H-13C planes, the algorithm automatically directs the collection of tilted plane data from a variety of triple-resonance experiments so as to follow an efficient pathway toward the probabilistic assignment of 1H, 13C, and 15N signals to specific atoms in the covalent structure of the protein. Data collection and assignment calculations continue until the addition of new data no longer improves the assignment score. ADAPT-NMR was first implemented on Varian (Agilent) spectrometers [A. Bahrami, M. Tonelli, S.C. Sahu, K.K. Singarapu, H.R. Eghbalnia, J.L. Markley, PLoS One 7 (2012) e33173]. Because of broader interest in the approach, we present here a version of ADAPT-NMR for Bruker spectrometers. We have developed two AU console programs (ADAPT-ORTHO-run and ADAPT-NMR-run) that run under TOPSPIN Versions 3.0 and higher. To illustrate the performance of the algorithm on a Bruker spectrometer, we tested one protein, chlorella ubiquitin (76 amino acid residues), that had been used with the Varian version: the Bruker and Varian versions achieved the same level of assignment completeness (98% in 20 h). As a more rigorous evaluation of the Bruker version, we tested a larger protein, BRPF1 bromodomain (114 amino acid residues), which yielded an automated assignment completeness of 86% in 55 h. Both experiments were carried out on a 500 MHz Bruker AVANCE III spectrometer equipped with a z-gradient 5 mm TCI probe. ADAPT-NMR is available at http://pine.nmrfam.wisc.edu/ADAPT-NMR in the form of pulse programs, the two AU programs, and instructions for installation and use.© 2013 Published by Elsevier Inc. Source


Bahrami A.,National Magnetic Resonance Facility at Madison | Clos II L.J.,National Magnetic Resonance Facility at Madison | Markley J.L.,National Magnetic Resonance Facility at Madison | Markley J.L.,University of Wisconsin - Madison | And 3 more authors.
Journal of Biomolecular NMR | Year: 2012

The significant biological role of RNA has further highlighted the need for improving the accuracy, efficiency and the reach of methods for investigating RNA structure and function. Nuclear magnetic resonance (NMR) spectroscopy is vital to furthering the goals of RNA structural biology because of its distinctive capabilities.However, the dispersion pattern in the NMR spectra of RNA makes automated resonance assignment, a key step in NMR investigation of biomolecules, remarkably challenging. Herein we present RNA Probabilistic Assignment of Imino Resonance Shifts (RNA-PAIRS), a method for the automated assignment of RNA imino resonances with synchronized verification and correction of predicted secondary structure. RNA-PAIRS represents an advance in modeling the assignment paradigm because it seeds the probabilistic network for assignment with experimental NMR data, and predicted RNA secondary structure, simultaneously and from the start. Subsequently, RNA-PAIRS sets in motion a dynamic network that reverberates between predictions and experimental evidence in order to reconcile and rectify resonance assignments and secondary structure information. The procedure is halted when assignments and base-parings are deemed to be most consistent with observed crosspeaks. The current implementation of RNA-PAIRS uses an initial peak list derived from proton-nitrogen heteronuclear multiple quantum correlation ( 1H- 15N 2D HMQC) and proton- proton nuclear Overhauser enhancement spectroscopy ( 1H- 1H 2D NOESY) experiments. We have evaluated the performance of RNA-PAIRS by using it to analyze NMR datasets from 26 previously studied RNAs, including a 111-nucleotide complex. For moderately sized RNA molecules, and over a range of comparatively complex structural motifs, the average assignment accuracy exceeds 90%, while the average base pair prediction accuracy exceeded 93%. RNA-PAIRS yielded accurate assignments and base pairings consistent with imino resonances for a majority of the NMR resonances, even when the initial predictions are only modestly accurate. RNA-PAIRS is available as a public webserver at http://pine.nmrfam.wisc.edu/RNA/ . © Springer Science+Business Media B.V. 2012. Source


Cornilescu C.C.,National Magnetic Resonance Facility at Madison | Cornilescu G.,National Magnetic Resonance Facility at Madison | Burgie E.S.,University of Wisconsin - Madison | Markley J.L.,National Magnetic Resonance Facility at Madison | And 3 more authors.
Journal of Biological Chemistry | Year: 2014

The phytochrome superfamily of photoreceptors exploits reversible light-driven changes in the bilin chromophore to initiate a variety of signaling cascades. The nature of these alterations and how they impact the protein moiety remain poorly resolved and might include several species-specific routes. Here, we provide a detailed picture of photoconversion for the photosensing cGMP phosphodiesterase/adenylyl cyclase/FhlA (GAF) domain from Thermosynechococcus elongatus (Te) PixJ, a memberof the cyanobacteriochrome clade. Solution NMR structures of the blue light-absorbing dark statePb and green light-absorbing photoactivated state Pg, combined with paired crystallographic models, revealed that the bilin and GAF domain dynamically transition via breakage of the C10/Cys-494 thioether bond, opposite rotations of the A and D pyrrole rings, sliding of the bilin in the GAF pocket, and the appearance of an extended region of disorder that includes Cys-494. Changes in GAF domain backbone dynamics were also observed that are likely important for inter-domain signal propagation. Taken together, photoconversion of T. elongatus PixJ from Pb to Pg involves complex structural changes within the GAF domain pocket that transduce light into a mechanical signal, many aspects of which should be relevant to others within the extended phytochrome superfamily. © 2014 by The American Society for Biochemistry and Molecular Biology, Inc. Source


Lee W.,National Magnetic Resonance Facility at Madison | Lee W.,University of Wisconsin - Madison | Kim J.H.,University of Wisconsin - Madison | Westler W.M.,National Magnetic Resonance Facility at Madison | And 2 more authors.
Bioinformatics | Year: 2011

PONDEROSA (Peak-picking Of Noe Data Enabled by Restriction of Shift Assignments) accepts input information consisting of a protein sequence, backbone and sidechain NMR resonance assignments, and 3D-NOESY (13C-edited and/or 15N-edited) spectra, and returns assignments of NOESY crosspeaks, distance and angle constraints, and a reliable NMR structure represented by a family of conformers. PONDEROSA incorporates and integrates external software packages (TALOS+, STRIDE and CYANA) to carry out different steps in the structure determination. PONDEROSA implements internal functions that identify and validate NOESY peak assignments and assess the quality of the calculated three-dimensional structure of the protein. The robustness of the analysis results from PONDEROSA's hierarchical processing steps that involve iterative interaction among the internal and external modules. PONDEROSA supports a variety of input formats: SPARKY assignment table (.shifts) and spectrum file formats (.ucsf), XEASY proton file format (.prot), and NMR-STAR format (.star). To demonstrate the utility of PONDEROSA, we used the package to determine 3D structures of two proteins: human ubiquitin and Escherichia coli iron-sulfur scaffold protein variant IscU(D39A). The automatically generated structural constraints and ensembles of conformers were as good as or better than those determined previously by much less automated means. © The Author(s) 2011. Published by Oxford University Press. Source

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