Engineering Diagnostic and Therapeutic Gut Bacteria

被引:59
作者
Landry, Brian P. [1 ]
Tabor, Jeffrey J. [1 ,2 ]
机构
[1] Rice Univ, Dept Bioengn, Houston, TX 77030 USA
[2] Rice Univ, Dept Biosci, Houston, TX 77030 USA
基金
美国国家科学基金会;
关键词
MODIFIED LACTOCOCCUS-LACTIS; ANTIGEN-SPECIFIC TOLERANCE; GREEN FLUORESCENT PROTEIN; GENE-EXPRESSION; ESCHERICHIA-COLI; COMMENSAL BACTERIUM; STREPTOCOCCUS-THERMOPHILUS; SYNTHETIC CIRCUITS; LOGIC GATES; E; COLI;
D O I
10.1128/microbiolspec.BAD-0020-2017
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Genetically engineered bacteria have the potential to diagnose and treat a wide range of diseases linked to the gastrointestinal tract, or gut. Such engineered microbes will be less expensive and invasive than current diagnostics and more effective and safe than current therapeutics. Recent advances in synthetic biology have dramatically improved the reliability with which bacteria can be engineered with the sensors, genetic circuits, and output (actuator) genes necessary for diagnostic and therapeutic functions. However, to deploy such bacteria in vivo, researchers must identify appropriate gut-adapted strains and consider performance metrics such as sensor detection thresholds, circuit computation speed, growth rate effects, and the evolutionary stability of engineered genetic systems. Other recent reviews have focused on engineering bacteria to target cancer or genetically modifying the endogenous gut microbiota in situ. Here, we develop a standard approach for engineering "smart probiotics," which both diagnose and treat disease, as well as "diagnostic gut bacteria" and "drug factory probiotics," which perform only the former and latter function, respectively. We focus on the use of cutting-edge synthetic biology tools, gut-specific design considerations, and current and future engineering challenges.
引用
收藏
页数:22
相关论文
共 155 条
[1]  
Alon Uri, 2006, An Introduction to Systems Biology: Design Principles of Biological Circuits
[2]  
Andersen JB, 1998, APPL ENVIRON MICROB, V64, P2240
[3]  
[Anonymous], 2006, Probiotics in food: health and nutritional properties and guidelines for evaluation
[4]   Engineered E. coli That Detect and Respond to Gut Inflammation through Nitric Oxide Sensing [J].
Archer, Eric J. ;
Robinson, Andra B. ;
Sueel, Guerol M. .
ACS SYNTHETIC BIOLOGY, 2012, 1 (10) :451-457
[5]   THE INTEGRASE FAMILY OF SITE-SPECIFIC RECOMBINASES - REGIONAL SIMILARITIES AND GLOBAL DIVERSITY [J].
ARGOS, P ;
LANDY, A ;
ABREMSKI, K ;
EGAN, JB ;
HAGGARDLJUNGQUIST, E ;
HOESS, RH ;
KAHN, ML ;
KALIONIS, B ;
NARAYANA, SVL ;
PIERSON, LS ;
STERNBERG, N ;
LEONG, JM .
EMBO JOURNAL, 1986, 5 (02) :433-440
[6]  
Auchtung JM, 2016, METHODS MOL BIOL, V1476, P235, DOI 10.1007/978-1-4939-6361-4_18
[7]   Signal-to-noise ratio measures efficacy of biological computing devices and circuits [J].
Beal, Jacob .
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY, 2015, 3
[8]   Probiotic Mechanisms of Action [J].
Bermudez-Brito, Miriam ;
Plaza-Diaz, Julio ;
Munoz-Quezada, Sergio ;
Gomez-Llorente, Carolina ;
Gil, Angel .
ANNALS OF NUTRITION AND METABOLISM, 2012, 61 (02) :160-174
[9]   Engineering lactococci and lactobacilli for human health [J].
Bermudez-Humaran, Luis G. ;
Aubry, Camille ;
Motta, Jean-Paul ;
Deraison, Celine ;
Steidler, Lothar ;
Vergnolle, Nathalie ;
Chatel, Jean-Marc ;
Langella, Philippe .
CURRENT OPINION IN MICROBIOLOGY, 2013, 16 (03) :278-283
[10]   Amplifying Genetic Logic Gates [J].
Bonnet, Jerome ;
Yin, Peter ;
Ortiz, Monica E. ;
Subsoontorn, Pakpoom ;
Endy, Drew .
SCIENCE, 2013, 340 (6132) :599-603