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Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq
Subcellular organization of RNAs and proteins is critical for cell function, but we still lack global maps and conceptual frameworks for how these molecules are localized in cells and tissues. Here, we introduce ATLAS-Seq, which generates transcriptomes and proteomes from detergent-free tissue lysat...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293051/ https://www.ncbi.nlm.nih.gov/pubmed/32421779 http://dx.doi.org/10.1093/nar/gkaa334 |
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author | Adekunle, Danielle A Wang, Eric T |
author_facet | Adekunle, Danielle A Wang, Eric T |
author_sort | Adekunle, Danielle A |
collection | PubMed |
description | Subcellular organization of RNAs and proteins is critical for cell function, but we still lack global maps and conceptual frameworks for how these molecules are localized in cells and tissues. Here, we introduce ATLAS-Seq, which generates transcriptomes and proteomes from detergent-free tissue lysates fractionated across a sucrose gradient. Proteomic analysis of fractions confirmed separation of subcellular compartments. Unexpectedly, RNAs tended to co-sediment with other RNAs in similar protein complexes, cellular compartments, or with similar biological functions. With the exception of those encoding secreted proteins, most RNAs sedimented differently than their encoded protein counterparts. To identify RNA binding proteins potentially driving these patterns, we correlated their sedimentation profiles to all RNAs, confirming known interactions and predicting new associations. Hundreds of alternative RNA isoforms exhibited distinct sedimentation patterns across the gradient, despite sharing most of their coding sequence. These observations suggest that transcriptomes can be organized into networks of co-segregating mRNAs encoding functionally related proteins and provide insights into the establishment and maintenance of subcellular organization. |
format | Online Article Text |
id | pubmed-7293051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-72930512020-06-17 Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq Adekunle, Danielle A Wang, Eric T Nucleic Acids Res Data Resources and Analyses Subcellular organization of RNAs and proteins is critical for cell function, but we still lack global maps and conceptual frameworks for how these molecules are localized in cells and tissues. Here, we introduce ATLAS-Seq, which generates transcriptomes and proteomes from detergent-free tissue lysates fractionated across a sucrose gradient. Proteomic analysis of fractions confirmed separation of subcellular compartments. Unexpectedly, RNAs tended to co-sediment with other RNAs in similar protein complexes, cellular compartments, or with similar biological functions. With the exception of those encoding secreted proteins, most RNAs sedimented differently than their encoded protein counterparts. To identify RNA binding proteins potentially driving these patterns, we correlated their sedimentation profiles to all RNAs, confirming known interactions and predicting new associations. Hundreds of alternative RNA isoforms exhibited distinct sedimentation patterns across the gradient, despite sharing most of their coding sequence. These observations suggest that transcriptomes can be organized into networks of co-segregating mRNAs encoding functionally related proteins and provide insights into the establishment and maintenance of subcellular organization. Oxford University Press 2020-06-19 2020-05-18 /pmc/articles/PMC7293051/ /pubmed/32421779 http://dx.doi.org/10.1093/nar/gkaa334 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Data Resources and Analyses Adekunle, Danielle A Wang, Eric T Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title | Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title_full | Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title_fullStr | Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title_full_unstemmed | Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title_short | Transcriptome-wide organization of subcellular microenvironments revealed by ATLAS-Seq |
title_sort | transcriptome-wide organization of subcellular microenvironments revealed by atlas-seq |
topic | Data Resources and Analyses |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7293051/ https://www.ncbi.nlm.nih.gov/pubmed/32421779 http://dx.doi.org/10.1093/nar/gkaa334 |
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