Transcriptional recording by CRISPR spacer acquisition from RNA

清脆的 生物 转录组 计算生物学 核糖核酸 基因 DNA 深度测序 DNA测序 遗传学 基因组 基因表达
作者
Florian Schmidt,Mariia Y. Cherepkova,Randall J. Platt
出处
期刊:Nature [Nature Portfolio]
卷期号:562 (7727): 380-385 被引量:117
标识
DOI:10.1038/s41586-018-0569-1
摘要

The ability to record transcriptional events within a cell over time would help to elucidate how molecular events give rise to complex cellular behaviours and states. However, current molecular recording technologies capture only a small set of defined stimuli. Here we use CRISPR spacer acquisition to capture and convert intracellular RNAs into DNA, enabling DNA-based storage of transcriptional information. In Escherichia coli, we show that defined stimuli, such as an RNA virus or arbitrary sequences, as well as complex stimuli, such as oxidative stress, result in quantifiable transcriptional records that are stored within a population of cells. We demonstrate that the transcriptional records enable us to classify and describe complex cellular behaviours and to identify the precise genes that orchestrate differential cellular responses. In the future, CRISPR spacer acquisition-mediated recording of RNA followed by deep sequencing (Record–seq) could be used to reconstruct transcriptional histories that describe complex cell behaviours or pathological states. An RNA-adapting CRISPR–Cas system is coupled with amplification and sequencing steps to record, retrieve and analyse changes in the transcriptome of a bacterial cell over time.
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
1秒前
Hello应助lala采纳,获得30
1秒前
2秒前
2秒前
2秒前
3秒前
宋秉杰完成签到,获得积分10
3秒前
Dino应助早日毕业采纳,获得30
4秒前
wang发布了新的文献求助10
4秒前
xiaoxiang完成签到 ,获得积分20
6秒前
顾矜应助吕凯迪采纳,获得10
6秒前
1234发布了新的文献求助10
8秒前
春风完成签到,获得积分10
8秒前
9秒前
默默芯应助疯狂的聋五采纳,获得40
10秒前
1234完成签到,获得积分10
10秒前
xiaoxiang关注了科研通微信公众号
11秒前
毛毛毛毛小毛完成签到,获得积分10
12秒前
kennysue完成签到 ,获得积分10
12秒前
13秒前
清脆的机器猫完成签到,获得积分10
13秒前
16秒前
简单的天曼完成签到,获得积分10
17秒前
17秒前
xinxin完成签到,获得积分10
19秒前
21秒前
1234完成签到,获得积分20
21秒前
Owen应助翁宇轩采纳,获得10
22秒前
amengptsd完成签到,获得积分10
23秒前
Orange应助weiyichen采纳,获得10
24秒前
山崎一Giao完成签到,获得积分10
24秒前
25秒前
安宁发布了新的文献求助10
26秒前
李健应助wang采纳,获得10
26秒前
斯文败类应助starcatcher采纳,获得10
27秒前
伶俐妙海举报西瓜藤子求助涉嫌违规
27秒前
Mingyue123完成签到,获得积分10
27秒前
科研甜菜应助上岸采纳,获得10
29秒前
木耳2号完成签到,获得积分10
30秒前
31秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7280644
求助须知:如何正确求助?哪些是违规求助? 8901649
关于积分的说明 18829954
捐赠科研通 6952554
什么是DOI,文献DOI怎么找? 3207396
关于科研通互助平台的介绍 2377680
邀请新用户注册赠送积分活动 2182514