Acoustic reporter genes for noninvasive imaging of microorganisms in mammalian hosts

报告基因 生物 基因 细胞生物学 分子成像 临床前影像学 微生物群 体内 计算生物学 基因表达 遗传学
作者
Raymond W. Bourdeau,Audrey Lee‐Gosselin,Anupama Lakshmanan,Arash Farhadi,Sripriya Ravindra Kumar,Suchita P. Nety,Mikhail G. Shapiro
出处
期刊:Nature [Nature Portfolio]
卷期号:553 (7686): 86-90 被引量:389
标识
DOI:10.1038/nature25021
摘要

The mammalian microbiome has many important roles in health and disease, and genetic engineering is enabling the development of microbial therapeutics and diagnostics. A key determinant of the activity of both natural and engineered microorganisms in vivo is their location within the host organism. However, existing methods for imaging cellular location and function, primarily based on optical reporter genes, have limited deep tissue performance owing to light scattering or require radioactive tracers. Here we introduce acoustic reporter genes, which are genetic constructs that allow bacterial gene expression to be visualized in vivo using ultrasound, a widely available inexpensive technique with deep tissue penetration and high spatial resolution. These constructs are based on gas vesicles, a unique class of gas-filled protein nanostructures that are expressed primarily in water-dwelling photosynthetic organisms as a means to regulate buoyancy. Heterologous expression of engineered gene clusters encoding gas vesicles allows Escherichia coli and Salmonella typhimurium to be imaged noninvasively at volumetric densities below 0.01% with a resolution of less than 100 μm. We demonstrate the imaging of engineered cells in vivo in proof-of-concept models of gastrointestinal and tumour localization, and develop acoustically distinct reporters that enable multiplexed imaging of cellular populations. This technology equips microbial cells with a means to be visualized deep inside mammalian hosts, facilitating the study of the mammalian microbiome and the development of diagnostic and therapeutic cellular agents.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
务实映之完成签到,获得积分10
刚刚
耍酷的白梦完成签到,获得积分10
刚刚
cc完成签到 ,获得积分10
刚刚
繁棠完成签到 ,获得积分10
1秒前
hhhh完成签到,获得积分10
1秒前
1秒前
文静的行恶完成签到,获得积分10
1秒前
1秒前
木鱼浪花完成签到,获得积分10
1秒前
充电宝应助qinkoko采纳,获得10
1秒前
catherine发布了新的文献求助10
1秒前
Kody完成签到,获得积分10
1秒前
落寞的元菱完成签到,获得积分10
2秒前
blackgoat完成签到,获得积分10
2秒前
geold完成签到,获得积分10
3秒前
4秒前
levitt233完成签到,获得积分10
4秒前
4秒前
晴朗完成签到,获得积分10
4秒前
木鱼浪花发布了新的文献求助10
5秒前
难过云朵完成签到,获得积分10
5秒前
杨钊雨发布了新的文献求助10
5秒前
李木子完成签到 ,获得积分10
6秒前
虚心的不二完成签到 ,获得积分10
6秒前
6秒前
脑洞疼应助djbj2022采纳,获得10
6秒前
dreamode完成签到,获得积分0
6秒前
YR完成签到 ,获得积分20
7秒前
积极的千琴完成签到,获得积分10
7秒前
充电宝应助小竖采纳,获得10
7秒前
8秒前
1asfdwe完成签到,获得积分10
8秒前
儒雅水杯发布了新的文献求助10
8秒前
眼睛大的松鼠完成签到 ,获得积分10
8秒前
suxiang完成签到,获得积分10
9秒前
9秒前
CAI313完成签到,获得积分10
9秒前
顾矜应助追寻秋莲采纳,获得10
9秒前
开放如天完成签到 ,获得积分10
10秒前
xx发布了新的文献求助10
10秒前
高分求助中
Metallurgy at high pressures and high temperatures 2000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 1000
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
应急管理理论与实践 530
Fundamentals of Strain Psychology 500
Quality by Design - An Indispensable Approach to Accelerate Biopharmaceutical Product Development 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6334554
求助须知:如何正确求助?哪些是违规求助? 8150707
关于积分的说明 17112812
捐赠科研通 5390219
什么是DOI,文献DOI怎么找? 2857223
邀请新用户注册赠送积分活动 1834698
关于科研通互助平台的介绍 1685561