scholarly journals Functional Analysis of the Ser149/Thr149 Variants of Human Aspartylglucosaminidase and Optimization of the Coding Sequence for Protein Production

2017 ◽  
Vol 18 (4) ◽  
pp. 706 ◽  
Author(s):  
Antje Banning ◽  
Jan F. König ◽  
Steven J. Gray ◽  
Ritva Tikkanen
Keyword(s):  
Functional Analysis ◽  
Protein Production ◽  
Coding Sequence

Production of ORF8 protein from SARS-CoV-2 using an inducible virus-mediated expression system in suspension-cultured tobacco BY-2 cells

2020 ◽  
Author(s):  
Tomohiro Imamura ◽  
Noriyoshi Isozumi ◽  
Yasuki Higashimura ◽  
Shinya Ohki ◽  
Masashi Mori
Keyword(s):  
Functional Analysis ◽  
Production System ◽  
Protein Production ◽  
Expression System ◽  
Three Dimensional ◽  
Dimensional Structure ◽  
Sds Page ◽  
Single Structure ◽  
Dimeric Form ◽  
Inducible Protein

AbstractCOVID-19, caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which spread worldwide in 2020, is an urgent problem to be overcome. The ORF8 of SARS-CoV-2 has been suggested to be associated with the symptoms of COVID-19, according to reports of clinical studies. However, little is known about the function of ORF8. As one of the ways to advance the functional analysis of ORF8, mass production of ORF8 with the correct three-dimensional structure is necessary. In this study, we attempted to produce ORF8 protein by chemically inducible protein production system using tobacco BY-2 cells. An ORF8-producing line was generated by the Agrobacterium method. As a result, the production of ORF8 of 8.8 ± 1.4 mg/L of culture medium was confirmed. SDS-PAGE and nuclear magnetic resonance (NMR) analysis confirmed that the ORF8 produced by this system is a dimeric form with a single structure, unlike that produced in Escherichia coli. Furthermore, it was suggested that the ORF8 produced by this system was glycosylated. Through this study, we succeeded in producing ORF8 folded into a single structure in a chemically inducible protein production system using tobacco BY-2 cells. It is expected that the functional analysis of ORF8 will be advanced using the ORF8 produced by this system and that it will greatly contribute to the development of antibodies and therapeutic agents targeting ORF8.

scholarly journals Functional analysis of an intergenic non-coding sequence within mce1 operon of M.tuberculosis

2010 ◽  
Vol 10 (1) ◽  
pp. 128 ◽  
Author(s):  
Monika Joon ◽  
Shipra Bhatia ◽  
Rashmi Pasricha ◽  
Mridula Bose ◽  
Vani Brahmachari
Keyword(s):  
Functional Analysis ◽  
Coding Sequence

Enhanced Protein Production inEscherichia coliby Optimization of Cloning Scars at the Vector–Coding Sequence Junction

2015 ◽  
Vol 4 (9) ◽  
pp. 959-965 ◽  
Author(s):  
Kiavash Mirzadeh ◽  
Virginia Martínez ◽  
Stephen Toddo ◽  
Suchithra Guntur ◽  
Markus J. Herrgård ◽  
...  
Keyword(s):  
Protein Production ◽  
Coding Sequence ◽  
Vector Coding

Case Formulation and Design of Behavioral Treatment Programs

2003 ◽  
Vol 19 (3) ◽  
pp. 164-174 ◽  
Author(s):  
Stephen N. Haynes ◽  
Andrew E. Williams
Keyword(s):  
Functional Analysis ◽  
Behavior Problems ◽  
Behavioral Treatment ◽  
Clinical Case ◽  
Relative Magnitude ◽  
Mechanisms Of Action ◽  
Treatment Programs ◽  
Case Formulation ◽  
Functional Relations ◽  
Causal Variables

Summary: We review the rationale for behavioral clinical case formulations and emphasize the role of the functional analysis in the design of individualized treatments. Standardized treatments may not be optimally effective for clients who have multiple behavior problems. These problems can affect each other in complex ways and each behavior problem can be influenced by multiple, interacting causal variables. The mechanisms of action of standardized treatments may not always address the most important causal variables for a client's behavior problems. The functional analysis integrates judgments about the client's behavior problems, important causal variables, and functional relations among variables. The functional analysis aids treatment decisions by helping the clinician estimate the relative magnitude of effect of each causal variable on the client's behavior problems, so that the most effective treatments can be selected. The parameters of, and issues associated with, a functional analysis and Functional Analytic Clinical Case Models (FACCM) are illustrated with a clinical case. The task of selecting the best treatment for a client is complicated because treatments differ in their level of specificity and have unequally weighted mechanisms of action. Further, a treatment's mechanism of action is often unknown.

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