Nanoparticles That Deliver RNA to Bone Marrow Identified by in Vivo Directed Evolution

体内 向性 化学 亚基因组mRNA 细胞生物学 骨髓 核糖核酸 生物化学 生物 病毒学 免疫学 基因 遗传学 病毒
作者
Cory D. Sago,Melissa P. Lokugamage,Fatima Z. Islam,Brandon R. Krupczak,Manaka Sato,James E. Dahlman
出处
期刊:Journal of the American Chemical Society [American Chemical Society]
卷期号:140 (49): 17095-17105 被引量:89
标识
DOI:10.1021/jacs.8b08976
摘要

Bone marrow endothelial cells (BMECs) regulate their microenvironment, which includes hematopoietic stem cells. This makes BMECs an important target cell type for siRNA or gene editing (e.g., CRISPR) therapies. However, siRNA and sgRNA have not been delivered to BMECs using systemically administered nanoparticles. Given that in vitro nanoparticle screens have not identified nanoparticles with BMEC tropism, we developed a system to quantify how >100 different nanoparticles deliver siRNA in a single mouse. This is the first barcoding system capable of quantifying functional cytosolic siRNA delivery (where the siRNA drug is active), distinguishing it from in vivo screens that quantify biodistribution (where the siRNA drug went). Combining this approach with bioinformatics, we performed in vivo directed evolution, and identified BM1, a lipid nanoparticle (LNP) that delivers siRNA and sgRNA to BMECs. Interestingly, chemical analysis revealed BMEC tropism was not related to LNP size; tropism changed with the structure of poly(ethylene glycol), as well as the presence of cholesterol. These results suggest that significant changes to vascular targeting can be imparted to a LNP by making simple changes to its chemical composition, rather than using active targeting ligands. BM1 is the first nanoparticle to efficiently deliver siRNA and sgRNA to BMECs in vivo, demonstrating that this functional in vivo screen can identify nanoparticles with novel tropism in vivo. More generally, in vivo screening may help reveal the complex relationship between nanoparticle structure and tropism, thereby helping scientists understand how simple chemical changes control nanoparticle 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
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
刚刚
刚刚
顾矜应助Gstar采纳,获得10
3秒前
缓慢方盒发布了新的文献求助10
3秒前
4秒前
法奥斯完成签到,获得积分10
4秒前
5秒前
酷波er应助多情从筠采纳,获得10
8秒前
8秒前
感动清炎应助无私的睫毛采纳,获得50
9秒前
微笑牛马关注了科研通微信公众号
9秒前
小蘑菇应助隐形傲霜采纳,获得10
9秒前
sommer完成签到,获得积分10
9秒前
光光发电发布了新的文献求助200
10秒前
李健应助22222采纳,获得10
10秒前
yutian928完成签到,获得积分10
10秒前
lme完成签到,获得积分20
11秒前
今后应助科研通管家采纳,获得10
12秒前
蒋时晏应助科研通管家采纳,获得10
12秒前
CodeCraft应助科研通管家采纳,获得10
12秒前
蒋时晏应助科研通管家采纳,获得10
12秒前
明亮的智宸完成签到,获得积分10
12秒前
JamesPei应助科研通管家采纳,获得10
12秒前
cjy123发布了新的文献求助10
14秒前
大个应助科研狗采纳,获得10
14秒前
汉堡包应助妙蛙采纳,获得10
15秒前
如意纸鹤完成签到,获得积分10
16秒前
16秒前
cc完成签到,获得积分10
20秒前
忧郁淘小枝完成签到,获得积分10
20秒前
面向杂志编论文应助shann采纳,获得100
21秒前
李健应助落后的听双采纳,获得10
21秒前
小斌仔发布了新的文献求助10
21秒前
wanci应助橙子采纳,获得10
22秒前
22秒前
26秒前
26秒前
Wu应助zzzz采纳,获得20
27秒前
27秒前
高分求助中
Impact of Mitophagy-Related Genes on the Diagnosis and Development of Esophageal Squamous Cell Carcinoma via Single-Cell RNA-seq Analysis and Machine Learning Algorithms 2000
Evolution 1100
How to Create Beauty: De Lairesse on the Theory and Practice of Making Art 1000
Gerard de Lairesse : an artist between stage and studio 670
CLSI EP47 Evaluation of Reagent Carryover Effects on Test Results, 1st Edition 550
Assessment of Ultrasonographic Measurement of Inferior Vena Cava Collapsibility Index in The Prediction of Hypotension Associated with Tourniquet Release in Total Knee Replacement Surgeries under Spinal Anesthesia 500
T/CAB 0344-2024 重组人源化胶原蛋白内毒素去除方法 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 2982781
求助须知:如何正确求助?哪些是违规求助? 2644037
关于积分的说明 7136971
捐赠科研通 2277350
什么是DOI,文献DOI怎么找? 1208114
版权声明 592156
科研通“疑难数据库(出版商)”最低求助积分说明 590216