Towards universal systems for recombinant gene expression

被引:0
|
作者
Hans Peter Sørensen
机构
[1] Danish National Research Foundation,Danish
[2] Aarhus University,Chinese Centre for Proteases and Cancer
[3] Department of Molecular Biology,undefined
来源
关键词
Expression System; Disulfide Bond; Recombinant Gene; Eukaryotic Gene; Expression Host;
D O I
暂无
中图分类号
学科分类号
摘要
Recombinant gene expression is among the most important techniques used both in molecular and medical research and in industrial settings. Today, two recombinant expression systems are particularly well represented in the literature reporting on recombinant expression of specific genes. According to searches in the PubMed citation database, during the last 15 years 80% of all recombinant genes reported on in the literature were expressed in either the enterobacterium Escherichia coli or the methylotropic yeast Pichia pastoris. Nevertheless, some eukaryotic proteins are misfolded or inadequately posttranslationally modified in these expression systems. This situation demands identification of other recombinant expression systems that enable the proper expression of the remaining eukaryotic genes. As of now, a single universal system allowing expression of all target genes is still a distant goal. In this light, thorough experimental screening for systems that can yield satisfying quantity and quality of target protein is required. In recent years, a number of new expression systems have been described and used for protein production. Two systems, namely Drosophila melanogaster S2 insect cells and human embryonic kidney 293 (HEK293) cells stably expressing the EBNA-1 gene, show exceptional promise. The time has come to identify a few well-performing systems that will allow us to express, purify, and characterize entire eukaryotic genomes.
引用
收藏
相关论文
共 50 条
  • [1] Towards universal systems for recombinant gene expression
    Sorensen, Hans Peter
    MICROBIAL CELL FACTORIES, 2010, 9
  • [2] Towards Universal Systems Awareness
    Di Maio, Paola
    2018 9TH INTERNATIONAL CONFERENCE ON AWARENESS SCIENCE AND TECHNOLOGY (ICAST), 2018, : 7 - 15
  • [3] Towards rational engineering of cells: Recombinant gene expression in defined chromosomal loci
    Kristina Nehlsen
    Leonor da Gama-Norton
    Roland Schucht
    Hansjörg Hauser
    Dagmar Wirth
    BMC Proceedings, 5 (Suppl 8)
  • [4] Towards a Universal Modeller of Chaotic Systems
    Berglund, Erik
    LEARNING AND INTELLIGENT OPTIMIZATION (LION 11 2017), 2017, 10556 : 307 - 313
  • [5] Towards an universal systems description language
    Nedelcu, DM
    SICON/01: ISA/IEEE SENSORS FOR INDUSTRY CONFERENCE, PROCEEDINGS, 2001, : 181 - 186
  • [6] Construction of inducible gene expression systems in Pichia pastoris for recombinant protein production
    Cao, Jicong
    Perez-Pinera, Pablo
    Lu, Timothy
    ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 2016, 251
  • [7] A concise guide to choosing suitable gene expression systems for recombinant protein production
    Schuetz, Anja
    Bernhard, Frank
    Berrow, Nick
    Buyel, Johannes F.
    Ferreira-da-Silva, Frederico
    Haustraete, Jurgen
    van den Heuvel, Joop
    Hoffmann, Jan-Erik
    de Marco, Ario
    Peleg, Yoav
    Suppmann, Sabine
    Unger, Tamar
    Vanhoucke, Martine
    Witt, Susanne
    Remans, Kim
    STAR PROTOCOLS, 2023, 4 (04):
  • [8] Expression systems for study of mycobacterial gene regulation and development of recombinant BCG vaccines
    DasGupta, SK
    Jain, S
    Kaushal, D
    Tyagi, AK
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 1998, 246 (03) : 797 - 804
  • [9] A universal gene expression system for fungi
    Rantasalo, Anssi
    Landowski, Christopher P.
    Kuivanen, Joosu
    Korppoo, Annakarin
    Reuter, Lauri
    Koivistoinen, Outi
    Valkonen, Mari
    Penttila, Merja
    Jantti, Jussi
    Mojzita, Dominik
    NUCLEIC ACIDS RESEARCH, 2018, 46 (18)
  • [10] A universal approach to gene expression engineering
    Lale, Rahmi
    Tietze, Lisa
    Fages-Lartaud, Maxime
    Nesje, Jenny
    Onsager, Ingerid
    Engelhardt, Kerstin
    Wong, Che Fai Alex
    Akan, Madina
    Hummel, Niklas
    Kalinowski, Joern
    Rueckert, Christian
    Hohmann-Marriott, Martin Frank
    SYNTHETIC BIOLOGY, 2022, 7 (01)