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Transcriptomics technologies
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436640/ https://www.ncbi.nlm.nih.gov/pubmed/28545146 http://dx.doi.org/10.1371/journal.pcbi.1005457 |
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author | Lowe, Rohan Shirley, Neil Bleackley, Mark Dolan, Stephen Shafee, Thomas |
author_facet | Lowe, Rohan Shirley, Neil Bleackley, Mark Dolan, Stephen Shafee, Thomas |
author_sort | Lowe, Rohan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-5436640 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54366402017-05-27 Transcriptomics technologies Lowe, Rohan Shirley, Neil Bleackley, Mark Dolan, Stephen Shafee, Thomas PLoS Comput Biol Topic Page 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. Public Library of Science 2017-05-18 /pmc/articles/PMC5436640/ /pubmed/28545146 http://dx.doi.org/10.1371/journal.pcbi.1005457 Text en © 2017 Lowe et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Topic Page Lowe, Rohan Shirley, Neil Bleackley, Mark Dolan, Stephen Shafee, Thomas Transcriptomics technologies |
title | Transcriptomics technologies |
title_full | Transcriptomics technologies |
title_fullStr | Transcriptomics technologies |
title_full_unstemmed | Transcriptomics technologies |
title_short | Transcriptomics technologies |
title_sort | transcriptomics technologies |
topic | Topic Page |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5436640/ https://www.ncbi.nlm.nih.gov/pubmed/28545146 http://dx.doi.org/10.1371/journal.pcbi.1005457 |
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