Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome

Abstract Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here,...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Robert Moore, Bhanwar Lal Puniya, Robert Powers, Chittibabu Guda, Kenneth W. Bayles, David Berkowitz, Tomáš Helikar
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/0a0d3fa5eb744a08b3dc5bf2dcf96e05
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:0a0d3fa5eb744a08b3dc5bf2dcf96e05
record_format	dspace
spelling	oai:doaj.org-article:0a0d3fa5eb744a08b3dc5bf2dcf96e052021-12-02T11:37:25ZIntegrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome10.1038/s41598-021-85044-52045-2322https://doaj.org/article/0a0d3fa5eb744a08b3dc5bf2dcf96e052021-03-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-85044-5https://doaj.org/toc/2045-2322Abstract Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here, we propose 20 therapeutic targets for ARS identified using a systematic approach that integrates gene coexpression networks obtained under radiation treatment in humans and mice, drug databases, disease-gene association, radiation-induced differential gene expression, and literature mining. By selecting gene targets with existing drugs, we identified potential candidates for drug repurposing. Eight of these genes (BRD4, NFKBIA, CDKN1A, TFPI, MMP9, CBR1, ZAP70, IDH3B) were confirmed through literature to have shown radioprotective effect upon perturbation. This study provided a new perspective for the treatment of ARS using systems-level gene associations integrated with multiple biological information. The identified genes might provide high confidence drug target candidates for potential drug repurposing for ARS.Robert MooreBhanwar Lal PuniyaRobert PowersChittibabu GudaKenneth W. BaylesDavid BerkowitzTomáš HelikarNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-14 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Robert Moore Bhanwar Lal Puniya Robert Powers Chittibabu Guda Kenneth W. Bayles David Berkowitz Tomáš Helikar Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
description	Abstract Recent political unrest has highlighted the importance of understanding the short- and long-term effects of gamma-radiation exposure on human health and survivability. In this regard, effective treatment for acute radiation syndrome (ARS) is a necessity in cases of nuclear disasters. Here, we propose 20 therapeutic targets for ARS identified using a systematic approach that integrates gene coexpression networks obtained under radiation treatment in humans and mice, drug databases, disease-gene association, radiation-induced differential gene expression, and literature mining. By selecting gene targets with existing drugs, we identified potential candidates for drug repurposing. Eight of these genes (BRD4, NFKBIA, CDKN1A, TFPI, MMP9, CBR1, ZAP70, IDH3B) were confirmed through literature to have shown radioprotective effect upon perturbation. This study provided a new perspective for the treatment of ARS using systems-level gene associations integrated with multiple biological information. The identified genes might provide high confidence drug target candidates for potential drug repurposing for ARS.
format	article
author	Robert Moore Bhanwar Lal Puniya Robert Powers Chittibabu Guda Kenneth W. Bayles David Berkowitz Tomáš Helikar
author_facet	Robert Moore Bhanwar Lal Puniya Robert Powers Chittibabu Guda Kenneth W. Bayles David Berkowitz Tomáš Helikar
author_sort	Robert Moore
title	Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_short	Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_full	Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_fullStr	Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_full_unstemmed	Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
title_sort	integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/0a0d3fa5eb744a08b3dc5bf2dcf96e05
work_keys_str_mv	AT robertmoore integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT bhanwarlalpuniya integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT robertpowers integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT chittibabuguda integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT kennethwbayles integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT davidberkowitz integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome AT tomashelikar integrativenetworkanalysesoftranscriptomicsdatarevealpotentialdrugtargetsforacuteradiationsyndrome
_version_	1718395743570493440

Integrative network analyses of transcriptomics data reveal potential drug targets for acute radiation syndrome

Ejemplares similares