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Dive into the research topics where Jonathan C. Lansing is active.

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Featured researches published by Jonathan C. Lansing.


Proceedings of the National Academy of Sciences of the United States of America | 2015

Controlled tetra-Fc sialylation of IVIg results in a drug candidate with consistent enhanced anti-inflammatory activity

Nathaniel Washburn; Inessa Schwab; Daniel Ortiz; Naveen Bhatnagar; Jonathan C. Lansing; Amy Medeiros; Steven Tyler; Divya J. Mekala; Edward Cochran; Hetal Sarvaiya; Kevin Garofalo; Robin Meccariello; James W. Meador; Laura I. Rutitzky; Birgit C. Schultes; Leona E. Ling; William Avery; Falk Nimmerjahn; Anthony M. Manning; Ganesh Kaundinya; Carlos J. Bosques

Significance IgG fragment crystallizable domain (Fc) sialylation has emerged as an important but controversial concept for regulating anti-inflammatory activity of antibodies. Moreover, translating this concept to potent anti-inflammatory therapeutics has been hampered by the difficulty of generating suitable sialylated products for human use. We describe for the first time, to our knowledge, the development of a robust, scalable process to generate a sialylated intravenous immunoglobulin (IVIg) drug candidate with maximum Fc sialylation devoid of unwanted modifications. By using a wide panel of physicochemical analytics and in vivo models, we have validated the quality and potent anti-inflammatory activity of this clinical candidate. This report not only confirms the controversial anti-inflammatory activity of IgG-Fc sialylation, it also represents the first sialylated IVIg preparation, to our knowledge, with consistent anti-inflammatory potency suitable for clinical development. Despite the beneficial therapeutic effects of intravenous immunoglobulin (IVIg) in inflammatory diseases, consistent therapeutic efficacy and potency remain major limitations for patients and physicians using IVIg. These limitations have stimulated a desire to generate therapeutic alternatives that could leverage the broad mechanisms of action of IVIg while improving therapeutic consistency and potency. The identification of the important anti-inflammatory role of fragment crystallizable domain (Fc) sialylation has presented an opportunity to develop more potent Ig therapies. However, translating this concept to potent anti-inflammatory therapeutics has been hampered by the difficulty of generating suitable sialylated products for clinical use. Therefore, we set out to develop the first, to our knowledge, robust and scalable process for generating a well-qualified sialylated IVIg drug candidate with maximum Fc sialylation devoid of unwanted alterations to the IVIg mixture. Here, we describe a controlled enzymatic, scalable process to produce a tetra-Fc–sialylated (s4-IVIg) IVIg drug candidate and its qualification across a wide panel of analytic assays, including physicochemical, pharmacokinetic, biodistribution, and in vivo animal models of inflammation. Our in vivo characterization of this drug candidate revealed consistent, enhanced anti-inflammatory activity up to 10-fold higher than IVIg across different animal models. To our knowledge, this candidate represents the first s4-IVIg suitable for clinical use; it is also a valuable therapeutic alternative with more consistent and potent anti-inflammatory activity.


Journal of Biomolecular NMR | 2013

Fast and accurate fitting of relaxation dispersion data using the flexible software package GLOVE

Kenji Sugase; Tsuyoshi Konuma; Jonathan C. Lansing; Peter E. Wright

Relaxation dispersion spectroscopy is one of the most widely used techniques for the analysis of protein dynamics. To obtain a detailed understanding of the protein function from the view point of dynamics, it is essential to fit relaxation dispersion data accurately. The grid search method is commonly used for relaxation dispersion curve fits, but it does not always find the global minimum that provides the best-fit parameter set. Also, the fitting quality does not always improve with increase of the grid size although the computational time becomes longer. This is because relaxation dispersion curve fitting suffers from a local minimum problem, which is a general problem in non-linear least squares curve fitting. Therefore, in order to fit relaxation dispersion data rapidly and accurately, we developed a new fitting program called GLOVE that minimizes global and local parameters alternately, and incorporates a Monte-Carlo minimization method that enables fitting parameters to pass through local minima with low computational cost. GLOVE also implements a random search method, which sets up initial parameter values randomly within user-defined ranges. We demonstrate here that the combined use of the three methods can find the global minimum more rapidly and more accurately than grid search alone.


Archive | 2001

Determination of Torsion Angles in Membrane Proteins

Jonathan C. Lansing; Morten Hohwy; Christopher P. Jaroniec; Alain F. L. Creemers; Johan Lugtenburg; Judith Herzfeld; Robert G. Griffin

Bacteriorhodopsin (bR) harnesses light energy to transport protons across the cell membrane of H. salinarium. Absorption of a photon by the protonated retinal chromophore initiates a cycle in which the chromophore releases a proton to an aspartate on the extracellular side and reprotonates from an aspartic acid on the cytoplasmic side. Vectorial proton transport depends on a switch in accessibility of the chromophore Schiff base nitrogen from the extracellular to cytoplasmic side. Changes in the retinal conformation are expected to be particularly important for understanding the pumping mechanism.


Proceedings of the National Academy of Sciences of the United States of America | 2005

Defining the role of active-site loop fluctuations in dihydrofolate reductase catalysis

Dan McElheny; Jason R. Schnell; Jonathan C. Lansing; H. Jane Dyson; Peter E. Wright


Journal of the American Chemical Society | 2003

High-Frequency Dynamic Nuclear Polarization in MAS Spectra of Membrane and Soluble Proteins

Melanie Rosay; Jonathan C. Lansing; Kristin Coffman Haddad; William W. Bachovchin; Judith Herzfeld; Richard J. Temkin; Robert G. Griffin


Annual Review of Biophysics and Biomolecular Structure | 2002

Magnetic Resonance Studies of the Bacteriorhodopsin Pump Cycle

Judith Herzfeld; Jonathan C. Lansing


Biochemistry | 1998

Early and Late M Intermediates in the Bacteriorhodopsin Photocycle: A Solid-State NMR Study†

Jingui G. Hu; Boqin Q. Sun; Marina Bizounok; Mary E. Hatcher; Jonathan C. Lansing; Jan Raap; Peter Verdegem; Johan Lugtenburg; Robert G. Griffin; Judith Herzfeld


Journal of the American Chemical Society | 2007

Tailoring Relaxation Dispersion Experiments for Fast-Associating Protein Complexes

Kenji Sugase; Jonathan C. Lansing; H. Jane Dyson; Peter E. Wright


Biochemistry | 2002

Chromophore distortions in the bacteriorhodopsin photocycle: Evolution of the H-C14-C15-H dihedral angle measured by solid-state NMR

Jonathan C. Lansing; Morten Hohwy; Christopher P. Jaroniec; Alain F. L. Creemers; Johan Lugtenburg; Judith Herzfeld; Robert G. Griffin


Journal of the American Chemical Society | 2001

Measurement of Dipolar Couplings in a Uniformly 13C,15N-Labeled Membrane Protein: Distances between the Schiff Base and Aspartic Acids in the Active Site of Bacteriorhodopsin

Christopher P. Jaroniec; Jonathan C. Lansing; Brett A. Tounge; Marina Belenky; Judith Herzfeld; Robert G. Griffin

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Robert G. Griffin

Massachusetts Institute of Technology

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Peter E. Wright

Scripps Research Institute

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H. Jane Dyson

Scripps Research Institute

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Morten Hohwy

Massachusetts Institute of Technology

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