Tools for Genomic and Transcriptomic Analysis of Microbes at Single-Cell Level

作者
Zixi Chen,Lei Chen,Weiwen Zhang
出处
期刊:Frontiers in Microbiology [Frontiers Media]
卷期号:8: 1831-1831 被引量:42
标识
DOI:10.3389/fmicb.2017.01831
摘要

Microbiologists traditionally study population rather than individual cells, as it is generally assumed that the status of individual cells will be similar to that observed in the population. However, the recent studies have shown that the individual behavior of each single cell could be quite different from that of the whole population, suggesting the importance of extending traditional microbiology studies to single-cell level. With recent technological advances, such as flow cytometry, next-generation sequencing (NGS), and microspectroscopy, single-cell microbiology has greatly enhanced the understanding of individuality and heterogeneity of microbes in many biological systems. Notably, the application of multiple 'omics' in single-cell analysis has shed light on how individual cells perceive, respond, and adapt to the environment, how heterogeneity arises under external stress and finally determines the fate of the whole population, and how microbes survive under natural conditions. As single-cell analysis involves no axenic cultivation of target microorganism, it has also been demonstrated as a valuable tool for dissecting the microbial 'dark matter.' In this review, current state-of-the-art tools and methods for genomic and transcriptomic analysis of microbes at single-cell level were critically summarized, including single-cell isolation methods and experimental strategies of single-cell analysis with NGS. In addition, perspectives on the future trends of technology development in the field of single-cell analysis was also presented.

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
迷途发布了新的文献求助10
1秒前
小南极完成签到,获得积分10
1秒前
1秒前
keep完成签到,获得积分10
2秒前
4秒前
4秒前
4秒前
xiaolong0325ly完成签到,获得积分10
5秒前
5秒前
Fbin完成签到,获得积分10
5秒前
顾矜应助好好采纳,获得10
5秒前
萧123a发布了新的文献求助10
5秒前
5秒前
Akim应助yian007采纳,获得10
6秒前
幻梦完成签到,获得积分10
6秒前
6秒前
6秒前
6秒前
6秒前
6秒前
SciGPT应助张艺跃采纳,获得10
7秒前
Magicer完成签到,获得积分10
8秒前
夜月残阳应助zhangyu采纳,获得30
8秒前
丘比特应助xiaojin采纳,获得10
8秒前
9秒前
9秒前
morecraft发布了新的文献求助10
9秒前
9秒前
着急的豌豆完成签到,获得积分20
9秒前
9秒前
科研通AI6.4应助细腻绮玉采纳,获得10
10秒前
香蕉觅云应助4qfguj采纳,获得10
10秒前
guse发布了新的文献求助10
10秒前
arran1111完成签到,获得积分10
11秒前
无心的热狗完成签到,获得积分20
11秒前
11秒前
拓跋世开完成签到,获得积分10
12秒前
12秒前
12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
An Introduction to Foreign Language Learning and Teaching 750
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
Synthesis of P-Chiral Phosphine Ligands and Their Applications in Asymmetric Catalysis 400
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 7623186
求助须知:如何正确求助?哪些是违规求助? 9198566
关于积分的说明 19719459
捐赠科研通 7194502
什么是DOI,文献DOI怎么找? 3273183
关于科研通互助平台的介绍 2435524
邀请新用户注册赠送积分活动 2268760