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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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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. |
format | Online Article Text |
id | pubmed-7828077 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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