From the Pipeline to the Bedside: Advances and Challenges in Clinical Metagenomics.

管道(软件) 微生物群 医学 数据科学 基因组学 DNA测序 抗生素耐药性 重症监护医学 抵抗性
作者
Augusto Dulanto Chiang,John P. Dekker
出处
期刊:The Journal of Infectious Diseases [Oxford University Press]
卷期号:221 被引量:29
标识
DOI:10.1093/infdis/jiz151
摘要

Next-generation sequencing (NGS) technologies have revolutionized multiple areas in the field of infectious diseases, from pathogen discovery to characterization of genes mediating drug resistance. Consequently, there is much anticipation that NGS technologies may be harnessed in the realm of diagnostic methods to complement or replace current culture-based and molecular microbiologic techniques. In this context, much consideration has been given to hypothesis-free, culture-independent tests that can be performed directly on primary clinical samples. The closest realizations of such universal diagnostic methods achieved to date are based on targeted amplicon and unbiased metagenomic shotgun NGS approaches. Depending on the exact details of implementation and analysis, these approaches have the potential to detect viruses, bacteria, fungi, parasites, and archaea, including organisms that were previously undiscovered and those that are uncultivatable. Shotgun metagenomics approaches additionally can provide information on the presence of virulence and resistance genetic elements. While many limitations to the use of NGS in clinical microbiology laboratories are being overcome with decreasing technology costs, expanding curated pathogen sequence databases, and better data analysis tools, there remain many challenges to the routine use and implementation of these methods. This review summarizes recent advances in applications of targeted amplicon and shotgun-based metagenomics approaches to infectious disease diagnostic methods. Technical and conceptual challenges are considered, along with expectations for future applications of these techniques.
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
完美世界应助不想搞科研采纳,获得10
刚刚
可爱的函函应助蒋蒋蒋采纳,获得10
刚刚
刚刚
1秒前
maclogos发布了新的文献求助20
1秒前
Ryan完成签到,获得积分10
1秒前
天天快乐应助jiafang采纳,获得10
2秒前
哦了欧了完成签到 ,获得积分10
2秒前
科研通AI5应助啊棕采纳,获得10
3秒前
3秒前
5秒前
hql关注了科研通微信公众号
6秒前
6秒前
Yumin发布了新的文献求助10
6秒前
7秒前
蓝白啦发布了新的文献求助10
7秒前
7秒前
Nougat发布了新的文献求助50
7秒前
zbbzbbzbb完成签到,获得积分10
9秒前
小幻完成签到,获得积分10
10秒前
cheria完成签到,获得积分10
10秒前
Naomi完成签到,获得积分10
11秒前
annieduan完成签到 ,获得积分10
12秒前
12秒前
脑洞疼应助hajy采纳,获得10
12秒前
传奇3应助大力无声采纳,获得10
13秒前
14秒前
guard发布了新的文献求助10
14秒前
pyhua完成签到,获得积分10
15秒前
15秒前
拼搏小丸子完成签到 ,获得积分10
16秒前
zbbzbbzbb发布了新的文献求助10
16秒前
JamesPei应助黄豆采纳,获得10
16秒前
17秒前
17秒前
大模型应助动人的如霜采纳,获得10
17秒前
19秒前
结实涑发布了新的文献求助10
19秒前
小花发布了新的文献求助10
20秒前
yx123456发布了新的文献求助10
20秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555160
求助须知:如何正确求助?哪些是违规求助? 3130863
关于积分的说明 9388950
捐赠科研通 2830329
什么是DOI,文献DOI怎么找? 1555932
邀请新用户注册赠送积分活动 726345
科研通“疑难数据库(出版商)”最低求助积分说明 715734