Preparation of biogenic gas vesicle nanostructures for use as contrast agents for ultrasound and MRI

小泡 生物物理学 分子成像 动态光散射 纳米颗粒 材料科学 化学 纳米技术 体内 膜 生物化学 生物 生物技术
作者
Anupama Lakshmanan,George J. Lu,Arash Farhadi,Suchita P. Nety,Martin Kunth,Audrey Lee‐Gosselin,David Maresca,Raymond W. Bourdeau,Melissa Yin,Judy Yan,Christopher Witte,Dina Malounda,F. Stuart Foster,Leif Schröder,Mikhail G. Shapiro
出处
期刊:Nature Protocols [Nature Portfolio]
卷期号:12 (10): 2050-2080 被引量:180
标识
DOI:10.1038/nprot.2017.081
摘要

This protocol describes the isolation of gas-filled protein nanostructures, called gas vesicles, their functionalization with moieties for targeting and fluorescence, and how to use them as contrast agents for ultrasound and MRI. Gas vesicles (GVs) are a unique class of gas-filled protein nanostructures that are detectable at subnanomolar concentrations and whose physical properties allow them to serve as highly sensitive imaging agents for ultrasound and MRI. Here we provide a protocol for isolating GVs from native and heterologous host organisms, functionalizing these nanostructures with moieties for targeting and fluorescence, characterizing their biophysical properties and imaging them using ultrasound and MRI. GVs can be isolated from natural cyanobacterial and haloarchaeal host organisms or from Escherichia coli expressing a heterologous GV gene cluster and purified using buoyancy-assisted techniques. They can then be modified by replacing surface-bound proteins with engineered, heterologously expressed variants or through chemical conjugation, resulting in altered mechanical, surface and targeting properties. Pressurized absorbance spectroscopy is used to characterize their mechanical properties, whereas dynamic light scattering (DLS)and transmission electron microscopy (TEM) are used to determine nanoparticle size and morphology, respectively. GVs can then be imaged with ultrasound in vitro and in vivo using pulse sequences optimized for their detection versus background. They can also be imaged with hyperpolarized xenon MRI using chemical exchange saturation transfer between GV-bound and dissolved xenon—a technique currently implemented in vitro. Taking 3–8 d to prepare, these genetically encodable nanostructures enable multimodal, noninvasive biological imaging with high sensitivity and potential for molecular targeting.
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
刚刚
455发布了新的文献求助10
刚刚
刚刚
气945发布了新的文献求助10
刚刚
无心科研完成签到,获得积分10
1秒前
1秒前
聪明的熊大完成签到,获得积分10
1秒前
1秒前
张璐璐发布了新的文献求助20
1秒前
1秒前
2秒前
七少爷完成签到,获得积分10
2秒前
2秒前
2秒前
11M完成签到,获得积分10
2秒前
Stern完成签到,获得积分10
2秒前
dasfsdf的应助被发呆小天才儿采纳,获得10
3秒前
Lucas试剂完成签到,获得积分10
3秒前
3秒前
香蕉觅云的应助被深情的梨愁采纳,获得10
3秒前
浦肯野发布了新的文献求助20
3秒前
bombing2048发布了新的文献求助10
3秒前
六道的应助被温暖的怜晴采纳,获得20
4秒前
lucky的应助被小y采纳,获得10
4秒前
invisight的应助被小y采纳,获得10
4秒前
5秒前
Jinman发布了新的文献求助10
5秒前
5秒前
HFF发布了新的文献求助10
5秒前
5秒前
不嘻嘻嘻发布了新的文献求助10
6秒前
lp发布了新的文献求助10
6秒前
miaomiao完成签到 ,获得积分10
6秒前
戊烷发布了新的文献求助10
6秒前
yangyangyang发布了新的文献求助50
6秒前
CipherSage的应助被ZSW采纳,获得10
6秒前
漫天星空完成签到,获得积分10
7秒前
L91发布了新的文献求助10
8秒前
laala发布了新的文献求助10
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Les Mantodea De Guyane 2000
Narrative Disclosure and Earnings Performance: Evidence from R&D Disclosures 1050
内視鏡下経鼻経蝶形骨洞手術術後SIADHに対する予防的水制限の安全性と有効性の検討 1000
Positive Psychology 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8007444
求助须知:如何正确求助?哪些是违规求助? 9457751
关于积分的说明 21167994
捐赠科研通 7579935
什么是DOI,文献DOI怎么找? 3382704
关于科研通互助平台的介绍 2515195
邀请新用户注册赠送积分活动 2417495