Teppei Niide
Tohoku University
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Publication
Featured researches published by Teppei Niide.
Langmuir | 2013
Teppei Niide; Kojiro Shimojo; Rie Wakabayashi; Masahiro Goto; Noriho Kamiya
Here, we report a new approach for the biofabrication of protein-immobilized gold nanoparticles (Au NPs), using oxidoreductase with gold-binding peptide-tagged recombinant proteins. The reduction of Au ions to Au(0) was achieved using a natural electron-donating cofactor, nicotinamide adenine dinucleotide, which was regenerated by the glycerol dehydrogenase (GLD) enzyme. First, we selected the A3 peptide (AYSSGAPPMPPF) as a gold binding moiety. The A3 peptide was introduced to the C-terminus of fusion proteins of immunoglobulin G (IgG)-binding domains of protein G and protein A. In the presence of the recombinant protein, the GLD-catalyzed cofactor reduction resulted in the efficient in situ fabrication of Au NPs immobilized with the fusion protein. Moreover, the protein-immobilized Au NPs were shown to have IgG binding activity. Although the A3 peptide had the ability to stabilize Au NPs, the results suggested that its binding affinity for Au NPs was unexpectedly weaker than that of His-tag. A cysteine residue was thus introduced to a recombinant protein adjacent to the A3 peptide. Finally, an artificial peptide, comprising A3 sequence with the C-terminal single cysteine residue, enabled the stable display of a fusion protein while maintaining its IgG binding activity through the Au-S bond. This enzyme-assisted one-pot methodology for protein-Au NPs conjugation offers one potent route for the facile fabrication of biomolecule-decorated metal NPs.
Chemical Communications | 2011
Teppei Niide; Masahiro Goto; Noriho Kamiya
Here we report the enzymatic synthesis of gold nanoparticles (Au NPs) by an engineered Escherichia coli harboring an NADH cofactor regeneration system coupled with glycerol dehydrogenase, which can be triggered by the addition of exogenous glycerol.
Scientific Reports | 2017
Aruto Sugiyama; Mitsuo Umetsu; Hikaru Nakazawa; Teppei Niide; Tomoko Onodera; Katsuhiro Hosokawa; Shuhei Hattori; Ryutaro Asano; Izumi Kumagai
Small bispecific antibodies that induce T-cell–mediated cytotoxicity have the potential to damage late-stage tumor masses to a clinically relevant degree, but their cytotoxicity is critically dependent on their structural and functional properties. Here, we constructed an optimized procedure for identifying highly cytotoxic antibodies from a variety of the T-cell–recruiting antibodies engineered from a series of antibodies against cancer antigens of epidermal growth factor receptor family and T-cell receptors. By developing and applying a set of rapid operations for expression vector construction and protein preparation, we screened the cytotoxicity of 104 small antibodies with diabody format and identified some with 103-times higher cytotoxicity than that of previously reported active diabody. The results demonstrate that cytotoxicity is enhanced by synergistic effects between the target, epitope, binding affinity, and the order of heavy-chain and light-chain variable domains. We demonstrate the importance of screening to determine the critical rules for highly cytotoxic antibodies.
bioRxiv | 2018
Yutaka Saito; Misaki Oikawa; Hikaru Nakazawa; Teppei Niide; Tomoshi Kameda; Koji Tsuda; Mitsuo Umetsu
Molecular evolution based on mutagenesis is widely used in protein engineering. However, optimal proteins are often difficult to obtain due to a large sequence space that requires high costs for screening experiments. Here, we propose a novel approach that combines molecular evolution with machine learning. In this approach, we conduct two rounds of mutagenesis where an initial library of protein variants is used to train a machine-learning model to guide mutagenesis for the second-round library. This enables to prepare a small library suited for screening experiments with high enrichment of functional proteins. We demonstrated a proof-of-concept of our approach by altering the reference green fluorescent protein (GFP) so that its fluorescence is changed to yellow while improving its fluorescence intensity. Using 155 and 78 variants for the initial and the second-round libraries, respectively, we successfully obtained a number of proteins showing yellow fluorescence, 12 of which had better fluorescence performance than the reference yellow fluorescent protein (YFP). These results show the potential of our approach as a powerful platform for accelerated discovery of functional proteins.
Journal of Bioscience and Bioengineering | 2018
Aruto Sugiyama; Mitsuo Umetsu; Hikaru Nakazawa; Teppei Niide; Ryutaro Asano; Takamitsu Hattori; Izumi Kumagai
The cytotoxicity of T cell-recruiting antibodies with their potential to damage late-stage tumor masses is critically dependent on their structural and functional properties. Recently, we reported a semi-high-throughput process for screening highly cytotoxic small bispecific antibodies (i.e., diabodies). In the present study, we improved the high-throughput performance of this screening process by removing the protein purification stage and adding a stage for determining the concentrations of the diabodies in culture supernatant. The diabodies were constructed by using an Escherichia coli expression system, and each diabody contained tandemly arranged peptide tags at the C-terminus, which allowed the concentration of diabodies in the culture supernatant to be quantified by using a tag-sandwich enzyme-linked immunosorbent assay. When estimated diabody concentrations were used to determine the cytotoxicity of unpurified antibodies, results comparable to those of purified antibodies were obtained. In a surface plasmon resonance spectroscopy-based target-binding assay, contaminants in the culture supernatant prevented us from conducting a quantitative binding analysis; however, this approach did allow relative binding affinity to be determined, and the relative binding affinities of the unpurified diabodies were comparable to those of the purified antibodies. Thus, we present here an improved high-throughput process for the simultaneous screening and determination of the binding parameters of highly cytotoxic bispecific antibodies.
Advanced Therapeutics | 2018
Hiroto Fujii; Yoshikazu Tanaka; Hikaru Nakazawa; Aruto Sugiyama; Noriyoshi Manabe; Akira Shinoda; Nobutaka Shimizu; Takamitsu Hattori; Katsuhiro Hosokawa; Takuma Sujino; Tomoyuki Ito; Teppei Niide; Ryutaro Asano; Izumi Kumagai; Mitsuo Umetsu
The vast information available on hierarchically structured proteins enables the creation of novel proteins with customized functions through the assembly of independent functional component modules. Here, a compact T cell–activating antibody is constructed from the antigen‐binding modules of variable domains. Genetic fusion of a single variable domain of the heavy chain of a heavy chain llama antibody (VHH) to the human single‐chain variable region of an antigen‐binding fragment (scFv), which is designed to be dimerized, yields a compact bispecific and bivalent antibody (BiBian) with a seahorse‐shaped structure. BiBian recognizes epidermal growth factor receptor (EGFR) on cancer cells and CD3 receptors on T cells; the two VHHs and dimerized scFv are structurally independent and positioned such that they are easily accessible to each target. BiBian adhered strongly to both cancer cells and T cells, promoted T cell activation (due to the bivalent CD3 modules), and induced dramatic cytotoxicity against tumor spheroids in vitro and in vivo. This compact structure is proposed as a fundamental format for homogeneous, highly cytotoxic, bacterially expressed antibodies.
ACS Synthetic Biology | 2018
Yutaka Saito; Misaki Oikawa; Hikaru Nakazawa; Teppei Niide; Tomoshi Kameda; Koji Tsuda; Mitsuo Umetsu
Molecular evolution based on mutagenesis is widely used in protein engineering. However, optimal proteins are often difficult to obtain due to a large sequence space. Here, we propose a novel approach that combines molecular evolution with machine learning. In this approach, we conduct two rounds of mutagenesis where an initial library of protein variants is used to train a machine-learning model to guide mutagenesis for the second-round library. This enables us to prepare a small library suited for screening experiments with high enrichment of functional proteins. We demonstrated a proof-of-concept of our approach by altering the reference green fluorescent protein (GFP) so that its fluorescence is changed into yellow. We successfully obtained a number of proteins showing yellow fluorescence, 12 of which had longer wavelengths than the reference yellow fluorescent protein (YFP). These results show the potential of our approach as a powerful method for directed evolution of fluorescent proteins.
Analytical Sciences | 2016
Yukiho Hosomomi; Teppei Niide; Rie Wakabayashi; Masahiro Goto; Noriho Kamiya
A novel strategy for the preparation of protein-decorated gold nanoparticles (Au NPs) was developed inside Escherichia coli cells, where an artificial oxidoreductase, composed of antibody-binding protein (pG), Bacillus stearothermophilus glycerol dehydrogenase (BsGLD) and a peptide tag with gold-binding affinity (H6C), was overexpressed in the cytoplasm. In situ formation of Au NPs was promoted by a natural electron-donating cofactor, nicotinamide adenine dinucleotide (NAD), which was regenerated to the reduced form of NADH by the catalytic activity of the fusion protein (pG-BsGLD-H6C) overexpressed in the cytoplasm of E. coli, with the concomitant addition of exogenous glycerol to the reaction system. The fusion protein was self-immobilized on Au NPs inside the E. coli cells, which was confirmed by SDS-PAGE and western blotting analyses of the resultant Au NPs. Finally, the IgG binding ability of the pG moiety displayed on Au NPs was evaluated by an enzyme-linked immunosorbent assay.
Solvent Extraction Research and Development-japan | 2010
Teppei Niide; Hikaru Shiraki; Tatsuya Oshima; Yoshinari Baba; Noriho Kamiya; Masahiro Goto
Kagaku Kogaku Ronbunshu | 2011
Tatsuya Oshima; Teppei Niide; Hikaru Shiraki; Yoshinari Baba
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National Institute of Advanced Industrial Science and Technology
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