Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/119811
Citations
Scopus Web of Science® Altmetric
?
?
Type: Journal article
Title: Transcriptomics technologies
Author: Lowe, R.
Shirley, N.
Bleackley, M.
Dolan, S.
Shafee, T.
Citation: PLoS Computational Biology, 2017; 13(5):e1005457-1-e1005457-23
Publisher: Public Library of Science (PLoS)
Issue Date: 2017
ISSN: 1553-7358
1553-734X
Statement of
Responsibility: 
Rohan Lowe, Neil Shirley, Mark Bleackley, Stephen Dolan, Thomas Shafee
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.
Keywords: Animals
Humans
Mice
Rats
RNA
Oligonucleotide Array Sequence Analysis
Cluster Analysis
Gene Expression Profiling
Sequence Analysis, RNA
Organ Specificity
Image Processing, Computer-Assisted
High-Throughput Nucleotide Sequencing
Rights: Copyright: © 2017 Lowe et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
DOI: 10.1371/journal.pcbi.1005457
Grant ID: http://purl.org/au-research/grants/arc/DP160100309
Published version: http://dx.doi.org/10.1371/journal.pcbi.1005457
Appears in Collections:Agriculture, Food and Wine publications
Aurora harvest 8

Files in This Item:
File Description SizeFormat 
hdl_119811.pdfPublished Version1.29 MBAdobe PDFView/Open


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.