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Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases

There has long been an interest in understanding how the hazards from spaceflight may trigger or exacerbate human diseases. With the goal of advancing our knowledge on physiological changes during space travel, NASA GeneLab provides an open-source repository of multi-omics data from real and simulat...

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Autores principales: Nelson, Charlotte A., Acuna, Ana Uriarte, Paul, Amber M., Scott, Ryan T., Butte, Atul J., Cekanaviciute, Egle, Baranzini, Sergio E., Costes, Sylvain V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828077/
https://www.ncbi.nlm.nih.gov/pubmed/33445483
http://dx.doi.org/10.3390/life11010042
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author Nelson, Charlotte A.
Acuna, Ana Uriarte
Paul, Amber M.
Scott, Ryan T.
Butte, Atul J.
Cekanaviciute, Egle
Baranzini, Sergio E.
Costes, Sylvain V.
author_facet Nelson, Charlotte A.
Acuna, Ana Uriarte
Paul, Amber M.
Scott, Ryan T.
Butte, Atul J.
Cekanaviciute, Egle
Baranzini, Sergio E.
Costes, Sylvain V.
author_sort Nelson, Charlotte A.
collection PubMed
description There has long been an interest in understanding how the hazards from spaceflight may trigger or exacerbate human diseases. With the goal of advancing our knowledge on physiological changes during space travel, NASA GeneLab provides an open-source repository of multi-omics data from real and simulated spaceflight studies. Alone, this data enables identification of biological changes during spaceflight, but cannot infer how that may impact an astronaut at the phenotypic level. To bridge this gap, Scalable Precision Medicine Oriented Knowledge Engine (SPOKE), a heterogeneous knowledge graph connecting biological and clinical data from over 30 databases, was used in combination with GeneLab transcriptomic data from six studies. This integration identified critical symptoms and physiological changes incurred during spaceflight.
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spelling pubmed-78280772021-01-25 Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases Nelson, Charlotte A. Acuna, Ana Uriarte Paul, Amber M. Scott, Ryan T. Butte, Atul J. Cekanaviciute, Egle Baranzini, Sergio E. Costes, Sylvain V. Life (Basel) Article There has long been an interest in understanding how the hazards from spaceflight may trigger or exacerbate human diseases. With the goal of advancing our knowledge on physiological changes during space travel, NASA GeneLab provides an open-source repository of multi-omics data from real and simulated spaceflight studies. Alone, this data enables identification of biological changes during spaceflight, but cannot infer how that may impact an astronaut at the phenotypic level. To bridge this gap, Scalable Precision Medicine Oriented Knowledge Engine (SPOKE), a heterogeneous knowledge graph connecting biological and clinical data from over 30 databases, was used in combination with GeneLab transcriptomic data from six studies. This integration identified critical symptoms and physiological changes incurred during spaceflight. MDPI 2021-01-12 /pmc/articles/PMC7828077/ /pubmed/33445483 http://dx.doi.org/10.3390/life11010042 Text en © 2021 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
Nelson, Charlotte A.
Acuna, Ana Uriarte
Paul, Amber M.
Scott, Ryan T.
Butte, Atul J.
Cekanaviciute, Egle
Baranzini, Sergio E.
Costes, Sylvain V.
Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title_full Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title_fullStr Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title_full_unstemmed Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title_short Knowledge Network Embedding of Transcriptomic Data from Spaceflown Mice Uncovers Signs and Symptoms Associated with Terrestrial Diseases
title_sort knowledge network embedding of transcriptomic data from spaceflown mice uncovers signs and symptoms associated with terrestrial diseases
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7828077/
https://www.ncbi.nlm.nih.gov/pubmed/33445483
http://dx.doi.org/10.3390/life11010042
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