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转录组学技术

Transcriptomics technologies.

作者信息

Lowe Rohan, Shirley Neil, Bleackley Mark, Dolan Stephen, Shafee Thomas

机构信息

La Trobe Institute for Molecular Science, La Trobe University, Melbourne, Australia.

ARC Centre of Excellence in Plant Cell Walls, University of Adelaide, Adelaide, Australia.

出版信息

PLoS Comput Biol. 2017 May 18;13(5):e1005457. doi: 10.1371/journal.pcbi.1005457. eCollection 2017 May.

DOI:10.1371/journal.pcbi.1005457
PMID:28545146
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5436640/
Abstract

Transcriptomics technologies are the techniques used to study an organism's transcriptome, the sum of all of its RNA transcripts. The information content of an organism is recorded in the DNA of its genome and expressed through transcription. Here, mRNA serves as a transient intermediary molecule in the information network, whilst noncoding RNAs perform additional diverse functions. A transcriptome captures a snapshot in time of the total transcripts present in a cell. The first attempts to study the whole transcriptome began in the early 1990s, and technological advances since the late 1990s have made transcriptomics a widespread discipline. Transcriptomics has been defined by repeated technological innovations that transform the field. There are two key contemporary techniques in the field: microarrays, which quantify a set of predetermined sequences, and RNA sequencing (RNA-Seq), which uses high-throughput sequencing to capture all sequences. Measuring the expression of an organism's genes in different tissues, conditions, or time points gives information on how genes are regulated and reveals details of an organism's biology. It can also help to infer the functions of previously unannotated genes. Transcriptomic analysis has enabled the study of how gene expression changes in different organisms and has been instrumental in the understanding of human disease. An analysis of gene expression in its entirety allows detection of broad coordinated trends which cannot be discerned by more targeted assays.

摘要

转录组学技术是用于研究生物体转录组的技术,转录组是其所有RNA转录本的总和。生物体的信息内容记录在其基因组的DNA中,并通过转录得以表达。在这里,mRNA在信息网络中充当瞬时中间分子,而非编码RNA则执行其他多种功能。转录组捕捉细胞中存在的所有转录本在某个时间点的快照。对整个转录组进行研究的首次尝试始于20世纪90年代初,自20世纪90年代末以来的技术进步使转录组学成为一门广泛应用的学科。转录组学是由不断推动该领域发展的技术创新所定义的。该领域目前有两种关键技术:微阵列,用于对一组预先确定的序列进行定量;RNA测序(RNA-Seq),利用高通量测序来捕获所有序列。测量生物体在不同组织、条件或时间点的基因表达,可以了解基因是如何被调控的,并揭示生物体生物学的细节。它还有助于推断以前未注释基因的功能。转录组分析使得研究不同生物体中基因表达的变化成为可能,并且在理解人类疾病方面发挥了重要作用。对基因表达进行全面分析能够检测到更具针对性的检测方法无法识别的广泛协调趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/99fae7eb4710/pcbi.1005457.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/1db25c184986/pcbi.1005457.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/615d210493d2/pcbi.1005457.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/e77aa26e05bd/pcbi.1005457.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/81343ea79472/pcbi.1005457.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/7164c4dc3b9a/pcbi.1005457.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/99fae7eb4710/pcbi.1005457.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/1db25c184986/pcbi.1005457.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/615d210493d2/pcbi.1005457.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/e77aa26e05bd/pcbi.1005457.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/81343ea79472/pcbi.1005457.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/7164c4dc3b9a/pcbi.1005457.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4578/5436640/99fae7eb4710/pcbi.1005457.g006.jpg

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