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Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome
RNAs have been shown to exhibit differential enrichment between nuclear, cytoplasmic, and exosome fractions. A current fundamental question asks why non-coding RNA partition into different spatial compartments. We report on the analysis of cellular compartment models with miRNA data sources for spat...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926364/ https://www.ncbi.nlm.nih.gov/pubmed/27338352 http://dx.doi.org/10.3390/ijms17060830 |
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author | Seffens, William Abebe, Fisseha Evans, Chad Wang, Xiao-Qian |
author_facet | Seffens, William Abebe, Fisseha Evans, Chad Wang, Xiao-Qian |
author_sort | Seffens, William |
collection | PubMed |
description | RNAs have been shown to exhibit differential enrichment between nuclear, cytoplasmic, and exosome fractions. A current fundamental question asks why non-coding RNA partition into different spatial compartments. We report on the analysis of cellular compartment models with miRNA data sources for spatial-mechanistic modeling to address the broad area of multi-scalar cellular communication by miRNAs. We show that spatial partitioning of miRNAs is related to sequence similarity to the overall transcriptome. This has broad implications in biological informatics for gene regulation and provides a deeper understanding of nucleotide sequence structure and RNA language meaning for human pathologies resulting from changes in gene expression. |
format | Online Article Text |
id | pubmed-4926364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-49263642016-07-06 Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome Seffens, William Abebe, Fisseha Evans, Chad Wang, Xiao-Qian Int J Mol Sci Article RNAs have been shown to exhibit differential enrichment between nuclear, cytoplasmic, and exosome fractions. A current fundamental question asks why non-coding RNA partition into different spatial compartments. We report on the analysis of cellular compartment models with miRNA data sources for spatial-mechanistic modeling to address the broad area of multi-scalar cellular communication by miRNAs. We show that spatial partitioning of miRNAs is related to sequence similarity to the overall transcriptome. This has broad implications in biological informatics for gene regulation and provides a deeper understanding of nucleotide sequence structure and RNA language meaning for human pathologies resulting from changes in gene expression. MDPI 2016-06-08 /pmc/articles/PMC4926364/ /pubmed/27338352 http://dx.doi.org/10.3390/ijms17060830 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Seffens, William Abebe, Fisseha Evans, Chad Wang, Xiao-Qian Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title | Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title_full | Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title_fullStr | Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title_full_unstemmed | Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title_short | Spatial Partitioning of miRNAs Is Related to Sequence Similarity in Overall Transcriptome |
title_sort | spatial partitioning of mirnas is related to sequence similarity in overall transcriptome |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4926364/ https://www.ncbi.nlm.nih.gov/pubmed/27338352 http://dx.doi.org/10.3390/ijms17060830 |
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