Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Seffens, William, Abebe, Fisseha, Evans, Chad, Wang, Xiao-Qian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
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
_version_ 1782440096118603776
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
work_keys_str_mv AT seffenswilliam spatialpartitioningofmirnasisrelatedtosequencesimilarityinoveralltranscriptome
AT abebefisseha spatialpartitioningofmirnasisrelatedtosequencesimilarityinoveralltranscriptome
AT evanschad spatialpartitioningofmirnasisrelatedtosequencesimilarityinoveralltranscriptome
AT wangxiaoqian spatialpartitioningofmirnasisrelatedtosequencesimilarityinoveralltranscriptome