scholarly journals Codon optimization enables the Zeocin resistance marker’s use in the ascomycete yeast Debaryomyces occidentalis

2017 ◽  
Vol 63 (4) ◽  
pp. 254-257 ◽  
Author(s):  
Yuu Utashima ◽  
Satoshi Yamashita ◽  
Toshi-Hide Arima ◽  
Kazuo Masaki
Keyword(s):  
Codon Optimization ◽  
Ascomycete Yeast ◽  
Zeocin Resistance

scholarly journals Codon optimization of the human papillomavirus 11 (HPV 11) L1 gene leads to increased gene expression and formation of virus-like particles in mammalian epithelial cells

Virology ◽  
2004 ◽  
Vol 326 (1) ◽  
pp. 57-66 ◽  
Author(s):  
Nina Mossadegh ◽  
Lutz Gissmann ◽  
Martin Müller ◽  
Hanswalter Zentgraf ◽  
Angel Alonso ◽  
...  
Keyword(s):  
Gene Expression ◽  
Human Papillomavirus ◽  
Epithelial Cells ◽  
Codon Optimization ◽  
Virus Like Particles

Codon optimization of MTS1 and its expression in Escherichia coli

2004 ◽  
Vol 36 (2) ◽  
pp. 307-311 ◽  
Author(s):  
Baicheng Yang ◽  
Zhenquan Guo ◽  
Yixiu Huang ◽  
Shenggeng Zhu
Keyword(s):  
Escherichia Coli ◽  
Codon Optimization ◽  
Expression In Escherichia Coli

scholarly journals Primer Based Approach for PCR Amplification of High GC Content Gene: Mycobacterium Gene as a Model

2014 ◽  
Vol 2014 ◽  
pp. 1-7 ◽  
Author(s):  
Arbind Kumar ◽  
Jagdeep Kaur
Keyword(s):  
Amino Acid ◽  
Amino Acid Sequence ◽  
Codon Optimization ◽  
Gc Content ◽  
Pcr Amplification ◽  
Pcr Conditions

The genome of Mycobacterium is rich in GC content and poses problem in amplification of some genes, especially those rich in the GC content in terminal regions, by standard/routine PCR procedures. Attempts have been made to amplify three GC rich genes of Mycobacterium sp. (Rv0519c and Rv0774c from M. tuberculosis and ML0314c from M. leprae). Out of these three genes, Rv0774c gene was amplified with normal primers under standard PCR conditions, while no amplification was observed in case of Rv0519c and ML0314c genes. In the present investigation a modified primer based approach was successfully used for amplification of GC rich sequence of Rv0519c through codon optimization without changing the native amino acid sequence. The strategy was successfully confirmed by redesigning the standard primers with similar modifications followed by amplification of ML0314c gene.

scholarly journals Enhanced T- and B-cell responses to simian immunodeficiency virus (SIV)agm, SIVmac and human immunodeficiency virus type 1 Gag DNA immunization and identification of novel T-cell epitopes in mice via codon optimization

2009 ◽  
Vol 90 (10) ◽  
pp. 2513-2518 ◽  
Author(s):  
Christine S. Siegismund ◽  
Oliver Hohn ◽  
Reinhard Kurth ◽  
Stephen Norley
Keyword(s):  
Human Immunodeficiency Virus ◽  
T Cell ◽  
B Cell ◽  
Simian Immunodeficiency Virus ◽  
Codon Optimization ◽  
T Cell Epitopes ◽  
Gm Csf ◽  
Cell Responses ◽  
Immunodeficiency Virus

As a prelude to primate studies, the immunogenicity of wild-type and codon-optimized versions of simian immunodeficiency virus (SIV)agm Gag DNA, with and without co-administered granulocyte–macrophage colony-stimulating factor (GM-CSF) DNA, was directly compared in two strains of mice. Gag-specific T cells in the splenocytes of BALB/c and C57BL/6 mice immunized by gene gun were quantified by ELISpot using panels of overlapping synthetic peptides (15mers) spanning the entire capsid proteins of SIVagm, SIVmac and human immunodeficiency virus type 1. Specific antibodies were measured by ELISA. Codon optimization was shown to significantly increase the immune response to the DNA immunogens, reducing the amount of DNA necessary to induce cellular and antibody responses by one and two orders of magnitude, respectively. Co-administration of murine GM-CSF DNA was necessary for the induction of high level T- and B-cell responses. Finally, it was possible to identify both known and novel T-cell epitopes in the Gag proteins of the three viruses.

Codon optimization can improve expression of human genes in Escherichia coli: A multi-gene study

2008 ◽  
Vol 59 (1) ◽  
pp. 94-102 ◽  
Author(s):  
Nicola A. Burgess-Brown ◽  
Sujata Sharma ◽  
Frank Sobott ◽  
Christoph Loenarz ◽  
Udo Oppermann ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Codon Optimization ◽  
Human Genes ◽  
Gene Study

Expression of recombinant endochitinase from the Antarctic bacterium, Sanguibacter antarcticus KOPRI 21702 in Pichia pastoris by codon optimization

2010 ◽  
Vol 71 (1) ◽  
pp. 108-114 ◽  
Author(s):  
Sung Gu Lee ◽  
Hye Yeon Koh ◽  
Se Jong Han ◽  
Heeyong Park ◽  
Deuk Chae Na ◽  
...  
Keyword(s):  
Pichia Pastoris ◽  
Codon Optimization ◽  
Antarctic Bacterium ◽  
The Antarctic

scholarly journals Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Tanglong Yuan ◽  
Nana Yan ◽  
Tianyi Fei ◽  
Jitan Zheng ◽  
Juan Meng ◽  
...  
Keyword(s):  
Machine Learning ◽  
High Efficiency ◽  
Codon Optimization ◽  
Sequence Context ◽  
Learning Methods ◽  
Specific Sequence ◽  
Uracil Dna Glycosylase ◽  
Base Editing ◽  
Machine Learning Methods ◽  
Deep Learning Model

AbstractEfficient and precise base editors (BEs) for C-to-G transversion are highly desirable. However, the sequence context affecting editing outcome largely remains unclear. Here we report engineered C-to-G BEs of high efficiency and fidelity, with the sequence context predictable via machine-learning methods. By changing the species origin and relative position of uracil-DNA glycosylase and deaminase, together with codon optimization, we obtain optimized C-to-G BEs (OPTI-CGBEs) for efficient C-to-G transversion. The motif preference of OPTI-CGBEs for editing 100 endogenous sites is determined in HEK293T cells. Using a sgRNA library comprising 41,388 sequences, we develop a deep-learning model that accurately predicts the OPTI-CGBE editing outcome for targeted sites with specific sequence context. These OPTI-CGBEs are further shown to be capable of efficient base editing in mouse embryos for generating Tyr-edited offspring. Thus, these engineered CGBEs are useful for efficient and precise base editing, with outcome predictable based on sequence context of targeted sites.

Sign in / Sign up

Export Citation Format

Share Document