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Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data
Lung‐specific genes play critically important roles in lung development, lung physiology, and pathogenesis of lung‐associated diseases. We performed a meta‐analysis of multiple tissue RNA‐seq data to identify lung‐specific genes in order to better investigate their lung‐specific functions and pathol...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932457/ https://www.ncbi.nlm.nih.gov/pubmed/27398317 http://dx.doi.org/10.1002/2211-5463.12089 |
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author | Xiong, Min Heruth, Daniel P. Zhang, Li Qin Ye, Shui Qing |
author_facet | Xiong, Min Heruth, Daniel P. Zhang, Li Qin Ye, Shui Qing |
author_sort | Xiong, Min |
collection | PubMed |
description | Lung‐specific genes play critically important roles in lung development, lung physiology, and pathogenesis of lung‐associated diseases. We performed a meta‐analysis of multiple tissue RNA‐seq data to identify lung‐specific genes in order to better investigate their lung‐specific functions and pathological roles. We identified 83 lung‐specific genes consisting of 62 protein‐coding genes, five pseudogenes and 16 noncoding RNA genes. About 49.4% of lung‐specific genes were implicated in the pathogenesis of lung diseases and 21.7% were involved with lung development. The identification of genes with enriched expression in the lung will facilitate the elucidation of lung‐specific functions and their roles in disease pathogenesis. |
format | Online Article Text |
id | pubmed-4932457 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49324572016-07-08 Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data Xiong, Min Heruth, Daniel P. Zhang, Li Qin Ye, Shui Qing FEBS Open Bio Research Articles Lung‐specific genes play critically important roles in lung development, lung physiology, and pathogenesis of lung‐associated diseases. We performed a meta‐analysis of multiple tissue RNA‐seq data to identify lung‐specific genes in order to better investigate their lung‐specific functions and pathological roles. We identified 83 lung‐specific genes consisting of 62 protein‐coding genes, five pseudogenes and 16 noncoding RNA genes. About 49.4% of lung‐specific genes were implicated in the pathogenesis of lung diseases and 21.7% were involved with lung development. The identification of genes with enriched expression in the lung will facilitate the elucidation of lung‐specific functions and their roles in disease pathogenesis. John Wiley and Sons Inc. 2016-06-16 /pmc/articles/PMC4932457/ /pubmed/27398317 http://dx.doi.org/10.1002/2211-5463.12089 Text en © 2016 The Authors. Published by FEBS Press and John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution (http://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Articles Xiong, Min Heruth, Daniel P. Zhang, Li Qin Ye, Shui Qing Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title | Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title_full | Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title_fullStr | Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title_full_unstemmed | Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title_short | Identification of lung‐specific genes by meta‐analysis of multiple tissue RNA‐seq data |
title_sort | identification of lung‐specific genes by meta‐analysis of multiple tissue rna‐seq data |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4932457/ https://www.ncbi.nlm.nih.gov/pubmed/27398317 http://dx.doi.org/10.1002/2211-5463.12089 |
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