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Dive into the research topics where Kari Pederson is active.

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Featured researches published by Kari Pederson.


Biochemistry | 2014

Structural Characterization of the DC-SIGN–LewisX Complex

Kari Pederson; Daniel Anthony Mitchell; James H. Prestegard

Dendritic cell-specific intracellular adhesion molecule-3-grabbing nonintegrin (DC-SIGN) is a C-type lectin highly expressed on the surface of antigen-presenting dendritic cells. DC-SIGN mediates interactions among dendritic cells, pathogens, and a variety of epithelia, myeloid cells, and endothelia by binding to high mannose residues on pathogenic invaders or fucosylated residues on the membranes of other immune cells. Although these interactions are normally beneficial, they can also contribute to disease. The structural characterization of binding geometries is therefore of interest as a basis for the construction of mimetics that can mediate the effects of abnormal immune response. Here, we report the structural characteristics of the interaction of the DC-SIGN carbohydrate recognition domain (CRD) with a common fucosylated entity, the LewisX trisaccharide (LeX), using NMR methods. Titration of the monomeric DC-SIGN CRD with LeX monitored by 2D NMR revealed significant perturbations of DC-SIGN cross-peak positions in 1H–15N heteronuclear single quantum coherence (HSQC) spectra and identified residues near the binding site. Additionally, saturation transfer difference (STD) and transferred nuclear Overhauser effect (trNOE) NMR experiments, using a tetrameric form of DC-SIGN, identified binding epitopes and bound conformations of the LeX ligand. The restraints derived from these multiple experiments were used to generate models for the binding of LeX to the DC-SIGN CRD. Ranking of the models based on the fit of model-based simulations of the trNOE data and STD buildup curves suggested conformations distinct from those seen in previous crystal structures. The new conformations offer insight into how differences between binding of LewisX and mannose-terminated saccharides may be propagated.


Canadian Journal of Chemistry | 2016

Extension and validation of the GLYCAM force field parameters for modeling glycosaminoglycans

Arunima Singh; Matthew B. Tessier; Kari Pederson; Xiaocong Wang; Andre Venot; Geert-Jan Boons; James H. Prestegard; Robert J. Woods

Glycosaminoglycans (GAGs) are an important class of carbohydrates that serve critical roles in blood clotting, tissue repair, cell migration and adhesion, and lubrication. The variable sulfation pattern and iduronate ring conformations in GAGs influence their polymeric structure and nature of interaction. This study characterizes several heparin-like GAG disaccharides and tetrasaccharides using NMR and molecular dynamics simulations to assist in the development of parameters for GAGs within the GLYCAM06 force field. The force field additions include parameters and charges for a transferable sulfate group for O- and N-sulfation, neutral (COOH) forms of iduronic and glucuronic acid, and Δ4,5-unsaturated uronate (ΔUA) residues. ΔUA residues frequently arise from the enzymatic digestion of heparin and heparin sulfate. Simulations of disaccharides containing ΔUA reveal that the presence of sulfation on this residue alters the relative populations of 1H2 and 2H1 ring conformations. Simulations of heparin tetrasaccharides containing N-sulfation in place of N-acetylation on glucosamine residues influence the ring conformations of adjacent iduronate residues.


ACS Chemical Biology | 2014

Structure-guided functional characterization of enediyne self-sacrifice resistance proteins, CalU16 and CalU19.

Sherif I. Elshahawi; Theresa A. Ramelot; Jayaraman Seetharaman; Jing Chen; Shanteri Singh; Yunhuang Yang; Kari Pederson; Madan K. Kharel; Rong Xiao; Scott Lew; Ragothaman M. Yennamalli; Mitchell D. Miller; Fengbin Wang; Liang Tong; Gaetano T. Montelione; Michael A. Kennedy; Craig A. Bingman; Haining Zhu; George N. Phillips; Jon S. Thorson

Calicheamicin γ1I (1) is an enediyne antitumor compound produced by Micromonospora echinospora spp. calichensis, and its biosynthetic gene cluster has been previously reported. Despite extensive analysis and biochemical study, several genes in the biosynthetic gene cluster of 1 remain functionally unassigned. Using a structural genomics approach and biochemical characterization, two proteins encoded by genes from the 1 biosynthetic gene cluster assigned as “unknowns”, CalU16 and CalU19, were characterized. Structure analysis revealed that they possess the STeroidogenic Acute Regulatory protein related lipid Transfer (START) domain known mainly to bind and transport lipids and previously identified as the structural signature of the enediyne self-resistance protein CalC. Subsequent study revealed calU16 and calU19 to confer resistance to 1, and reminiscent of the prototype CalC, both CalU16 and CalU19 were cleaved by 1in vitro. Through site-directed mutagenesis and mass spectrometry, we identified the site of cleavage in each protein and characterized their function in conferring resistance against 1. This report emphasizes the importance of structural genomics as a powerful tool for the functional annotation of unknown proteins.


Journal of Magnetic Resonance | 2014

Sparse labeling of proteins: structural characterization from long range constraints.

James H. Prestegard; David A. Agard; Kelley W. Moremen; Laura A. Lavery; Laura C. Morris; Kari Pederson

Structural characterization of biologically important proteins faces many challenges associated with degradation of resolution as molecular size increases and loss of resolution improving tools such as perdeuteration when non-bacterial hosts must be used for expression. In these cases, sparse isotopic labeling (single or small subsets of amino acids) combined with long range paramagnetic constraints and improved computational modeling offer an alternative. This perspective provides a brief overview of this approach and two discussions of potential applications; one involving a very large system (an Hsp90 homolog) in which perdeuteration is possible and methyl-TROSY sequences can potentially be used to improve resolution, and one involving ligand placement in a glycosylated protein where resolution is achieved by single amino acid labeling (the sialyltransferase, ST6Gal1). This is not intended as a comprehensive review, but as a discussion of future prospects that promise impact on important questions in the structural biology area.


Protein Science | 2016

A community resource of experimental data for NMR / X‐ray crystal structure pairs

John K. Everett; Roberto Tejero; Sarath B K Murthy; Thomas B. Acton; James M. Aramini; Michael Baran; Jordi Benach; John R. Cort; Alexander Eletsky; Farhad Forouhar; Rongjin Guan; Alexandre P. Kuzin; Hsiau Wei Lee; Gaohua Liu; Rajeswari Mani; Binchen Mao; Jeffrey L. Mills; Alexander F. Montelione; Kari Pederson; Robert Powers; Theresa A. Ramelot; Paolo Rossi; Jayaraman Seetharaman; David A. Snyder; G. V. T. Swapna; Sergey M. Vorobiev; Yibing Wu; Rong Xiao; Yunhuang Yang; C.H. Arrowsmith

We have developed an online NMR / X‐ray Structure Pair Data Repository. The NIGMS Protein Structure Initiative (PSI) has provided many valuable reagents, 3D structures, and technologies for structural biology. The Northeast Structural Genomics Consortium was one of several PSI centers. NESG used both X‐ray crystallography and NMR spectroscopy for protein structure determination. A key goal of the PSI was to provide experimental structures for at least one representative of each of hundreds of targeted protein domain families. In some cases, structures for identical (or nearly identical) constructs were determined by both NMR and X‐ray crystallography. NMR spectroscopy and X‐ray diffraction data for 41 of these “NMR / X‐ray” structure pairs determined using conventional triple‐resonance NMR methods with extensive sidechain resonance assignments have been organized in an online NMR / X‐ray Structure Pair Data Repository. In addition, several NMR data sets for perdeuterated, methyl‐protonated protein samples are included in this repository. As an example of the utility of this repository, these data were used to revisit questions about the precision and accuracy of protein NMR structures first outlined by Levy and coworkers several years ago (Andrec et al., Proteins 2007;69:449–465). These results demonstrate that the agreement between NMR and X‐ray crystal structures is improved using modern methods of protein NMR spectroscopy. The NMR / X‐ray Structure Pair Data Repository will provide a valuable resource for new computational NMR methods development.


Scopus | 2016

A community resource of experimental data for NMR / X-ray crystal structure pairs

John K. Everett; Roberto Tejero; S.B.K. Murthy; Thomas B. Acton; James M. Aramini; Michael Baran; Jordi Benach; John R. Cort; Alexander Eletsky; Farhad Forouhar; Rongjin Guan; Alexandre P. Kuzin; Hsiau-Wei Lee; Gaohua Liu; Rajeswari Mani; Binchen Mao; Jeffrey L. Mills; Alexander F. Montelione; Kari Pederson; Robert Powers; Theresa A. Ramelot; Paolo Rossi; Jayaraman Seetharaman; David A. Snyder; G. V. T. Swapna; Sergey M. Vorobiev; Yixuan Wu; Rong Xiao; Yue Yang; C.H. Arrowsmith

We have developed an online NMR / X‐ray Structure Pair Data Repository. The NIGMS Protein Structure Initiative (PSI) has provided many valuable reagents, 3D structures, and technologies for structural biology. The Northeast Structural Genomics Consortium was one of several PSI centers. NESG used both X‐ray crystallography and NMR spectroscopy for protein structure determination. A key goal of the PSI was to provide experimental structures for at least one representative of each of hundreds of targeted protein domain families. In some cases, structures for identical (or nearly identical) constructs were determined by both NMR and X‐ray crystallography. NMR spectroscopy and X‐ray diffraction data for 41 of these “NMR / X‐ray” structure pairs determined using conventional triple‐resonance NMR methods with extensive sidechain resonance assignments have been organized in an online NMR / X‐ray Structure Pair Data Repository. In addition, several NMR data sets for perdeuterated, methyl‐protonated protein samples are included in this repository. As an example of the utility of this repository, these data were used to revisit questions about the precision and accuracy of protein NMR structures first outlined by Levy and coworkers several years ago (Andrec et al., Proteins 2007;69:449–465). These results demonstrate that the agreement between NMR and X‐ray crystal structures is improved using modern methods of protein NMR spectroscopy. The NMR / X‐ray Structure Pair Data Repository will provide a valuable resource for new computational NMR methods development.


Journal of Biomolecular NMR | 2015

The second round of Critical Assessment of Automated Structure Determination of Proteins by NMR: CASD-NMR-2013

Antonio Rosato; Wim F. Vranken; Rasmus H. Fogh; Timothy J. Ragan; Roberto Tejero; Kari Pederson; Hsiau-Wei Lee; James H. Prestegard; Adelinda Yee; Bin Wu; Alexander Lemak; Scott Houliston; C.H. Arrowsmith; Michael A. Kennedy; Thomas B. Acton; Rong Xiao; Gaohua Liu; Gaetano T. Montelione; Geerten W. Vuister


Journal of Biomolecular NMR | 2017

NMR characterization of HtpG, the E. coli Hsp90, using sparse labeling with 13 C-methyl alanine

Kari Pederson; Gordon R. Chalmers; Qi Gao; Daniel Elnatan; Theresa A. Ramelot; Li-Chung Ma; Gaetano T. Montelione; Michael A. Kennedy; David A. Agard; James H. Prestegard


Journal of Back and Musculoskeletal Rehabilitation | 2017

Alanine chemical shifts of the C-terminal dimerization domain (residues 511-624) of HtpG, the Hsp90 from Escherichia coli. Northeast Structural Genomics Consortium Target ER697C.

Theresa A. Ramelot; Kari Pederson; Huang Wang; Melissa Maglaqui; Lei Mao; Rong Xiao; Thomas B. Acton; John K. Everett; James H. Prestegard; Gaetano T. Montelione; Michael A. Kennedy


Journal of Back and Musculoskeletal Rehabilitation | 2016

Solution NMR Structure of DE NOVO DESIGNED PROTEIN, Rossmann2x2 Fold, Northeast Structural Genomics Consortium (NESG) Target OR446

Gaohua Liu; Yu-Ru Lin; Nobuyasu Koga; Rie Koga; Rong Xiao; Haleema Janjua; Kari Pederson; Thomas B. Acton; Gregory J. Kornhaber; John K. Everett; David Baker; Gaetano T. Montelione

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