Single-cell RNA sequencing in Drosophila: Technologies and applications.
Single-cell RNA sequencing in Drosophila: Technologies and applications.
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果蝇的单细胞RNA测序：技术和应用。
DOI：
10.1002/wdev.396
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发表时间：
2021-09
期刊：
影响因子：
--
通讯作者：
Li H
中科院分区：
文献类型：
--
作者：
Li H
单细胞RNA测序(scRNA-seq)已成为在单细胞水平上研究细胞状态和功能的有力工具。它极大地改变了许多生命科学研究领域的转录研究，如神经生物学、免疫学和发育生物学。在过去的十年里，随着实验平台和生物信息学方法的快速发展，scRNA-seq正变得在经济上可行，并在许多生物医学实验室中得到实验应用。果蝇已经成为解剖组织发育、成体细胞功能、疾病和衰老的细胞和分子机制的优秀模式生物。最近将scRNA-seq方法应用到果蝇组织中，导致了一些令人兴奋的发现。在这篇综述中，我将对果蝇中scRNA-seq的最新研究进行总结，重点是技术方法和生物学应用。我还将讨论在果蝇中使用scRNA-seq进行新发现的当前挑战和未来机会。这篇文章被归类为：技术与技术；译本分析
Single-cell RNA sequencing (scRNA-seq) has emerged as a powerful tool for investigating cell states and functions at the single-cell level. It has greatly revolutionized transcriptomic studies in many life science research fields, such as neurobiology, immunology, and developmental biology. With the fast development of both experimental platforms and bioinformatics approaches over the past decade, scRNA-seq is becoming economically feasible and experimentally practical for many biomedical laboratories. Drosophila has served as an excellent model organism for dissecting cellular and molecular mechanisms that underlie tissue development, adult cell function, disease, and aging. The recent application of scRNA-seq methods to Drosophila tissues has led to a number of exciting discoveries. In this review, I will provide a summary of recent scRNA-seq studies in Drosophila, focusing on technical approaches and biological applications. I will also discuss current challenges and future opportunities of making new discoveries using scRNA-seq in Drosophila. This article is categorized under: Technologies > Analysis of the Transcriptome
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影响因子：
5.4
作者：
Alles J;Karaiskos N;Praktiknjo SD;Grosswendt S;Wahle P;Ruffault PL;Ayoub S;Schreyer L;Boltengagen A;Birchmeier C;Zinzen R;Kocks C;Rajewsky N
通讯作者：
Rajewsky N
影响因子：
64.5
作者：
Davie K;Janssens J;Koldere D;De Waegeneer M;Pech U;Kreft Ł;Aibar S;Makhzami S;Christiaens V;Bravo González-Blas C;Poovathingal S;Hulselmans G;Spanier KI;Moerman T;Vanspauwen B;Geurs S;Voet T;Lammertyn J;Thienpont B;Liu S;Konstantinides N;Fiers M;Verstreken P;Aerts S
通讯作者：
Aerts S
影响因子：
4.6
作者：
Attar M;Sharma E;Li S;Bryer C;Cubitt L;Broxholme J;Lockstone H;Kinchen J;Simmons A;Piazza P;Buck D;Livak KJ;Bowden R
通讯作者：
Bowden R
DOI：
10.1073/pnas.1507125112
发表时间：
2015-06-09
影响因子：
11.1
作者：
Darmanis S;Sloan SA;Zhang Y;Enge M;Caneda C;Shuer LM;Hayden Gephart MG;Barres BA;Quake SR
通讯作者：
Quake SR
DOI：
10.1007/978-1-4939-9224-9_10
发表时间：
2019-01-01
期刊：
COMPUTATIONAL STEM CELL BIOLOGY: METHODS AND PROTOCOLS
影响因子：
--
作者：
Chan, Thalia E.;Stumpf, Michael P. H.;Babtie, Ann C.
通讯作者：
Babtie, Ann C.