Evidence map›Paper›PMID 33445483›Full record

ArticleLife (Basel, Switzerland)2021

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

Charlotte A Nelson, Ana Uriarte Acuna, Amber M Paul, Ryan T Scott, Atul J Butte, Egle Cekanaviciute, Sergio E Baranzini, Sylvain V Costes

Abstract read
In one paragraph

Article in Life (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Integrated Platforms to Further Advance Space Biology Research.Methods in molecular biology (Clifton, N.J.) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Charlotte A NelsonIntegrated Program in Quantitative Biology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-3687-1102
Ana Uriarte AcunaSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.
Amber M PaulSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.ORCID 0000-0002-1657-3618
Ryan T ScottSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.ORCID 0000-0003-0654-5661
Atul J ButteBakar Computational Health Sciences Institute, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0002-7433-2740
Egle CekanaviciuteSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.ORCID 0000-0003-3306-1806
Sergio E BaranziniIntegrated Program in Quantitative Biology, University of California San Francisco, San Francisco, CA 94143, USA.ORCID 0000-0003-0067-194X
Sylvain V CostesSpace Biosciences Division, NASA Ames Research Center, Moffett Field, CA 94035, USA.ORCID 0000-0002-8542-2389

Funding

BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
National Science Foundation NSF_2033569
6 · The paper itself

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.

Indexed as

knowledge graphspaceflighttranscriptomics

Identifiers

PMID33445483
PMCPMC7828077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.