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SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network

Long noncoding RNAs (lncRNAs) play important roles in a variety of biological processes. Knocking out or knocking down some lncRNA genes can lead to death or infertility. These lncRNAs are called essential lncRNAs. Identifying the essential lncRNA is of importance for complex disease diagnosis and t...

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Autores principales: Xin, Xiao-Hong, Zhang, Ying-Ying, Gao, Chu-Qiao, Min, Hui, Wang, Likun, Du, Pu-Feng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978670/
https://www.ncbi.nlm.nih.gov/pubmed/35386279
http://dx.doi.org/10.3389/fgene.2022.864564
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author Xin, Xiao-Hong
Zhang, Ying-Ying
Gao, Chu-Qiao
Min, Hui
Wang, Likun
Du, Pu-Feng
author_facet Xin, Xiao-Hong
Zhang, Ying-Ying
Gao, Chu-Qiao
Min, Hui
Wang, Likun
Du, Pu-Feng
author_sort Xin, Xiao-Hong
collection PubMed
description Long noncoding RNAs (lncRNAs) play important roles in a variety of biological processes. Knocking out or knocking down some lncRNA genes can lead to death or infertility. These lncRNAs are called essential lncRNAs. Identifying the essential lncRNA is of importance for complex disease diagnosis and treatments. However, experimental methods for identifying essential lncRNAs are always costly and time consuming. Therefore, computational methods can be considered as an alternative approach. We propose a method to identify essential lncRNAs by combining network centrality measures and lncRNA sequence information. By constructing a lncRNA-protein-protein interaction network, we measure the essentiality of lncRNAs from their role in the network and their sequence together. We name our method as the systematic gene importance index (SGII). As far as we can tell, this is the first attempt to identify essential lncRNAs by combining sequence and network information together. The results of our method indicated that essential lncRNAs have similar roles in the LPPI network as the essential coding genes in the PPI network. Another encouraging observation is that the network information can significantly boost the predictive performance of sequence-based method. All source code and dataset of SGII have been deposited in a GitHub repository (https://github.com/ninglolo/SGII).
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spelling pubmed-89786702022-04-05 SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network Xin, Xiao-Hong Zhang, Ying-Ying Gao, Chu-Qiao Min, Hui Wang, Likun Du, Pu-Feng Front Genet Genetics Long noncoding RNAs (lncRNAs) play important roles in a variety of biological processes. Knocking out or knocking down some lncRNA genes can lead to death or infertility. These lncRNAs are called essential lncRNAs. Identifying the essential lncRNA is of importance for complex disease diagnosis and treatments. However, experimental methods for identifying essential lncRNAs are always costly and time consuming. Therefore, computational methods can be considered as an alternative approach. We propose a method to identify essential lncRNAs by combining network centrality measures and lncRNA sequence information. By constructing a lncRNA-protein-protein interaction network, we measure the essentiality of lncRNAs from their role in the network and their sequence together. We name our method as the systematic gene importance index (SGII). As far as we can tell, this is the first attempt to identify essential lncRNAs by combining sequence and network information together. The results of our method indicated that essential lncRNAs have similar roles in the LPPI network as the essential coding genes in the PPI network. Another encouraging observation is that the network information can significantly boost the predictive performance of sequence-based method. All source code and dataset of SGII have been deposited in a GitHub repository (https://github.com/ninglolo/SGII). Frontiers Media S.A. 2022-03-21 /pmc/articles/PMC8978670/ /pubmed/35386279 http://dx.doi.org/10.3389/fgene.2022.864564 Text en Copyright © 2022 Xin, Zhang, Gao, Min, Wang and Du. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Genetics
Xin, Xiao-Hong
Zhang, Ying-Ying
Gao, Chu-Qiao
Min, Hui
Wang, Likun
Du, Pu-Feng
SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title_full SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title_fullStr SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title_full_unstemmed SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title_short SGII: Systematic Identification of Essential lncRNAs in Mouse and Human Genome With lncRNA-Protein-Protein Heterogeneous Interaction Network
title_sort sgii: systematic identification of essential lncrnas in mouse and human genome with lncrna-protein-protein heterogeneous interaction network
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8978670/
https://www.ncbi.nlm.nih.gov/pubmed/35386279
http://dx.doi.org/10.3389/fgene.2022.864564
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