Literature DB >> 33445483

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

Charlotte A Nelson1, Ana Uriarte Acuna2,3, Amber M Paul2,4, Ryan T Scott2,3, Atul J Butte5,6, Egle Cekanaviciute2, Sergio E Baranzini1,5,7, Sylvain V Costes2.   

Abstract

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.

Entities:  

Keywords:  knowledge graph; spaceflight; transcriptomics

Year:  2021        PMID: 33445483      PMCID: PMC7828077          DOI: 10.3390/life11010042

Source DB:  PubMed          Journal:  Life (Basel)        ISSN: 2075-1729


  25 in total

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3.  STAR: ultrafast universal RNA-seq aligner.

Authors:  Alexander Dobin; Carrie A Davis; Felix Schlesinger; Jorg Drenkow; Chris Zaleski; Sonali Jha; Philippe Batut; Mark Chaisson; Thomas R Gingeras
Journal:  Bioinformatics       Date:  2012-10-25       Impact factor: 6.937

4.  Assessing technical performance in differential gene expression experiments with external spike-in RNA control ratio mixtures.

Authors:  Sarah A Munro; Steven P Lund; P Scott Pine; Hans Binder; Djork-Arné Clevert; Ana Conesa; Joaquin Dopazo; Mario Fasold; Sepp Hochreiter; Huixiao Hong; Nadereh Jafari; David P Kreil; Paweł P Łabaj; Sheng Li; Yang Liao; Simon M Lin; Joseph Meehan; Christopher E Mason; Javier Santoyo-Lopez; Robert A Setterquist; Leming Shi; Wei Shi; Gordon K Smyth; Nancy Stralis-Pavese; Zhenqiang Su; Weida Tong; Charles Wang; Jian Wang; Joshua Xu; Zhan Ye; Yong Yang; Ying Yu; Marc Salit
Journal:  Nat Commun       Date:  2014-09-25       Impact factor: 14.919

Review 5.  Network medicine: a network-based approach to human disease.

Authors:  Albert-László Barabási; Natali Gulbahce; Joseph Loscalzo
Journal:  Nat Rev Genet       Date:  2011-01       Impact factor: 53.242

6.  Human symptoms-disease network.

Authors:  XueZhong Zhou; Jörg Menche; Albert-László Barabási; Amitabh Sharma
Journal:  Nat Commun       Date:  2014-06-26       Impact factor: 14.919

7.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

8.  Systematic integration of biomedical knowledge prioritizes drugs for repurposing.

Authors:  Daniel Scott Himmelstein; Antoine Lizee; Christine Hessler; Leo Brueggeman; Sabrina L Chen; Dexter Hadley; Ari Green; Pouya Khankhanian; Sergio E Baranzini
Journal:  Elife       Date:  2017-09-22       Impact factor: 8.140

9.  Integrating biomedical research and electronic health records to create knowledge-based biologically meaningful machine-readable embeddings.

Authors:  Charlotte A Nelson; Atul J Butte; Sergio E Baranzini
Journal:  Nat Commun       Date:  2019-07-10       Impact factor: 14.919

10.  Circulating miRNA Spaceflight Signature Reveals Targets for Countermeasure Development.

Authors:  Sherina Malkani; Christopher R Chin; Egle Cekanaviciute; Marie Mortreux; Hazeem Okinula; Marcel Tarbier; Ann-Sofie Schreurs; Yasaman Shirazi-Fard; Candice G T Tahimic; Deyra N Rodriguez; Brittany S Sexton; Daniel Butler; Akanksha Verma; Daniela Bezdan; Ceyda Durmaz; Matthew MacKay; Ari Melnick; Cem Meydan; Sheng Li; Francine Garrett-Bakelman; Bastian Fromm; Ebrahim Afshinnekoo; Brad W Langhorst; Eileen T Dimalanta; Margareth Cheng-Campbell; Elizabeth Blaber; Jonathan C Schisler; Charles Vanderburg; Marc R Friedländer; J Tyson McDonald; Sylvain V Costes; Seward Rutkove; Peter Grabham; Christopher E Mason; Afshin Beheshti
Journal:  Cell Rep       Date:  2020-11-25       Impact factor: 9.423

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  2 in total

Review 1.  Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science.

Authors:  Deepak R Unni; Sierra A T Moxon; Michael Bada; Matthew Brush; Richard Bruskiewich; J Harry Caufield; Paul A Clemons; Vlado Dancik; Michel Dumontier; Karamarie Fecho; Gustavo Glusman; Jennifer J Hadlock; Nomi L Harris; Arpita Joshi; Tim Putman; Guangrong Qin; Stephen A Ramsey; Kent A Shefchek; Harold Solbrig; Karthik Soman; Anne E Thessen; Melissa A Haendel; Chris Bizon; Christopher J Mungall
Journal:  Clin Transl Sci       Date:  2022-06-06       Impact factor: 4.438

2.  Detection of Target Genes for Drug Repurposing to Treat Skeletal Muscle Atrophy in Mice Flown in Spaceflight.

Authors:  Vidya Manian; Jairo Orozco-Sandoval; Victor Diaz-Martinez; Heeralal Janwa; Carlos Agrinsoni
Journal:  Genes (Basel)       Date:  2022-03-08       Impact factor: 4.096

  2 in total

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