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SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample
mRNA synthesis, processing, and destruction involve a complex series of molecular steps that are incompletely understood. Because the RNA intermediates in each of these steps have finite lifetimes, extensive mechanistic and dynamical information is encoded in total cellular RNA. Here we report the d...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935918/ https://www.ncbi.nlm.nih.gov/pubmed/24586954 http://dx.doi.org/10.1371/journal.pone.0089673 |
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author | Gray, Jesse M. Harmin, David A. Boswell, Sarah A. Cloonan, Nicole Mullen, Thomas E. Ling, Joseph J. Miller, Nimrod Kuersten, Scott Ma, Yong-Chao McCarroll, Steven A. Grimmond, Sean M. Springer, Michael |
author_facet | Gray, Jesse M. Harmin, David A. Boswell, Sarah A. Cloonan, Nicole Mullen, Thomas E. Ling, Joseph J. Miller, Nimrod Kuersten, Scott Ma, Yong-Chao McCarroll, Steven A. Grimmond, Sean M. Springer, Michael |
author_sort | Gray, Jesse M. |
collection | PubMed |
description | mRNA synthesis, processing, and destruction involve a complex series of molecular steps that are incompletely understood. Because the RNA intermediates in each of these steps have finite lifetimes, extensive mechanistic and dynamical information is encoded in total cellular RNA. Here we report the development of SnapShot-Seq, a set of computational methods that allow the determination of in vivo rates of pre-mRNA synthesis, splicing, intron degradation, and mRNA decay from a single RNA-Seq snapshot of total cellular RNA. SnapShot-Seq can detect in vivo changes in the rates of specific steps of splicing, and it provides genome-wide estimates of pre-mRNA synthesis rates comparable to those obtained via labeling of newly synthesized RNA. We used SnapShot-Seq to investigate the origins of the intrinsic bimodality of metazoan gene expression levels, and our results suggest that this bimodality is partly due to spillover of transcriptional activation from highly expressed genes to their poorly expressed neighbors. SnapShot-Seq dramatically expands the information obtainable from a standard RNA-Seq experiment. |
format | Online Article Text |
id | pubmed-3935918 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-39359182014-03-04 SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample Gray, Jesse M. Harmin, David A. Boswell, Sarah A. Cloonan, Nicole Mullen, Thomas E. Ling, Joseph J. Miller, Nimrod Kuersten, Scott Ma, Yong-Chao McCarroll, Steven A. Grimmond, Sean M. Springer, Michael PLoS One Research Article mRNA synthesis, processing, and destruction involve a complex series of molecular steps that are incompletely understood. Because the RNA intermediates in each of these steps have finite lifetimes, extensive mechanistic and dynamical information is encoded in total cellular RNA. Here we report the development of SnapShot-Seq, a set of computational methods that allow the determination of in vivo rates of pre-mRNA synthesis, splicing, intron degradation, and mRNA decay from a single RNA-Seq snapshot of total cellular RNA. SnapShot-Seq can detect in vivo changes in the rates of specific steps of splicing, and it provides genome-wide estimates of pre-mRNA synthesis rates comparable to those obtained via labeling of newly synthesized RNA. We used SnapShot-Seq to investigate the origins of the intrinsic bimodality of metazoan gene expression levels, and our results suggest that this bimodality is partly due to spillover of transcriptional activation from highly expressed genes to their poorly expressed neighbors. SnapShot-Seq dramatically expands the information obtainable from a standard RNA-Seq experiment. Public Library of Science 2014-02-26 /pmc/articles/PMC3935918/ /pubmed/24586954 http://dx.doi.org/10.1371/journal.pone.0089673 Text en © 2014 Gray 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, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Gray, Jesse M. Harmin, David A. Boswell, Sarah A. Cloonan, Nicole Mullen, Thomas E. Ling, Joseph J. Miller, Nimrod Kuersten, Scott Ma, Yong-Chao McCarroll, Steven A. Grimmond, Sean M. Springer, Michael SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title | SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title_full | SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title_fullStr | SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title_full_unstemmed | SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title_short | SnapShot-Seq: A Method for Extracting Genome-Wide, In Vivo mRNA Dynamics from a Single Total RNA Sample |
title_sort | snapshot-seq: a method for extracting genome-wide, in vivo mrna dynamics from a single total rna sample |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3935918/ https://www.ncbi.nlm.nih.gov/pubmed/24586954 http://dx.doi.org/10.1371/journal.pone.0089673 |
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