Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis

Abstract Idiopathic Pulmonary Fibrosis (IPF) is an incurable progressive fibrotic disease of the lungs. We currently lack a systematic understanding of IPF biology and a systems approach may offer new therapeutic insights. Here, for the first time, a large volume of high throughput genomics data has...

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Autores principales:	Indu Gangwar, Nitesh Kumar Sharma, Ganesh Panzade, Supriya Awasthi, Anurag Agrawal, Ravi Shankar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/768f2998ffd7495c94ac0f9ec1a34a52
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spelling	oai:doaj.org-article:768f2998ffd7495c94ac0f9ec1a34a522021-12-02T12:32:06ZDetecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis10.1038/s41598-017-01765-62045-2322https://doaj.org/article/768f2998ffd7495c94ac0f9ec1a34a522017-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-01765-6https://doaj.org/toc/2045-2322Abstract Idiopathic Pulmonary Fibrosis (IPF) is an incurable progressive fibrotic disease of the lungs. We currently lack a systematic understanding of IPF biology and a systems approach may offer new therapeutic insights. Here, for the first time, a large volume of high throughput genomics data has been unified to derive the most common molecular signatures of IPF. A set of 39 differentially expressed genes (DEGs) was found critical to distinguish IPF. Using high confidence evidences and experimental data, system level networks for IPF were reconstructed, involving 737 DEGs found common across at least two independent studies. This all provided one of the most comprehensive molecular system views for IPF underlining the regulatory and molecular consequences associated. 56 pathways crosstalks were identified which included critical pathways with specified directionality. The associated steps gained and lost due to crosstalk during IPF were also identified. A serially connected system of five crucial genes was found, potentially controlled by nine miRNAs and eight transcription factors exclusively in IPF when compared to NSIP and Sarcoidosis. Findings from this study have been implemented into a comprehensive molecular and systems database on IPF to facilitate devising diagnostic and therapeutic solutions for this deadly disease.Indu GangwarNitesh Kumar SharmaGanesh PanzadeSupriya AwasthiAnurag AgrawalRavi ShankarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-11 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Indu Gangwar Nitesh Kumar Sharma Ganesh Panzade Supriya Awasthi Anurag Agrawal Ravi Shankar Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
description	Abstract Idiopathic Pulmonary Fibrosis (IPF) is an incurable progressive fibrotic disease of the lungs. We currently lack a systematic understanding of IPF biology and a systems approach may offer new therapeutic insights. Here, for the first time, a large volume of high throughput genomics data has been unified to derive the most common molecular signatures of IPF. A set of 39 differentially expressed genes (DEGs) was found critical to distinguish IPF. Using high confidence evidences and experimental data, system level networks for IPF were reconstructed, involving 737 DEGs found common across at least two independent studies. This all provided one of the most comprehensive molecular system views for IPF underlining the regulatory and molecular consequences associated. 56 pathways crosstalks were identified which included critical pathways with specified directionality. The associated steps gained and lost due to crosstalk during IPF were also identified. A serially connected system of five crucial genes was found, potentially controlled by nine miRNAs and eight transcription factors exclusively in IPF when compared to NSIP and Sarcoidosis. Findings from this study have been implemented into a comprehensive molecular and systems database on IPF to facilitate devising diagnostic and therapeutic solutions for this deadly disease.
format	article
author	Indu Gangwar Nitesh Kumar Sharma Ganesh Panzade Supriya Awasthi Anurag Agrawal Ravi Shankar
author_facet	Indu Gangwar Nitesh Kumar Sharma Ganesh Panzade Supriya Awasthi Anurag Agrawal Ravi Shankar
author_sort	Indu Gangwar
title	Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
title_short	Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
title_full	Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
title_fullStr	Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
title_full_unstemmed	Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis
title_sort	detecting the molecular system signatures of idiopathic pulmonary fibrosis through integrated genomic analysis
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/768f2998ffd7495c94ac0f9ec1a34a52
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Detecting the Molecular System Signatures of Idiopathic Pulmonary Fibrosis through Integrated Genomic Analysis

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