Evidence map›Paper›PMID 40368955›Full record

ArticleNPJ microgravity2025

The GENESTAR manual for biospecimen collection biobanking and omics data generation from commercial space missions.

Aparna Krishnavajhala, Marie-Claude Gingras, Emmanuel Urquieta, Hsu Chao, Dilrukshi Bandaranaike, Yi Chen, Sravya Bhamidipati, Viktoriya Korchina, S Michelle Griffin, Michal M Masternak and 8 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in NPJ microgravity, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

18 authors.

Aparna Krishnavajhala *Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Marie-Claude Gingras *Human Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Emmanuel UrquietaCenter for Space Medicine, Baylor College of Medicine, Houston, TX, USA.
Hsu ChaoHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Dilrukshi BandaranaikeHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Yi ChenHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Sravya BhamidipatiHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Viktoriya KorchinaHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
S Michelle GriffinAxiom Space, Houston, TX, USA.
Michal M MasternakBurnett School of Biomedical Sciences, College of Medicine, University of Central Florida, Orlando, FL, USA.
Hannah MorenoCenter for Metagenomics and Microbiome Sequencing, Baylor College of Medicine, Houston, TX, USA.
Javid MohammedHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Mullai MuruganHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Jennifer E PoseyDepartment of Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA.
Jimmy H WuCenter for Space Medicine, Baylor College of Medicine, Houston, TX, USA.
Donna MuznyHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Richard A GibbsHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA.
Harsha DoddapaneniHuman Genome Sequencing Center, Baylor College of Medicine, Houston, TX, USA. doddapan@bcm.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The surge in commercial and civilian spaceflight enables the systematic and longitudinal, large-scale biospecimen collection to understand the prospective effects of space travel on human health. The Genomics and Space Medicine (Space Omics) project at BCM-HGSC involves a comprehensive biospecimen collection plan from commercial/private space flight participants. The manuscript addresses the critical gaps in the biospecimen collection process including details of the informed consent process, a provision for subjects to obtain custom CLIA-WGS reports, a data dictionary and a LIMS enabled biobank. The manuscript also discusses the biospecimens collection, processing methodologies and nucleic acid suitability for Omics data generation. Results from Axiom-2 mission where, 339 biospecimens were collected using 'Genomic Evaluation of Space Travel and Research (GENESTAR)' manual, at two different sites, showed that 98% of the blood samples and 91.6% of the non-blood samples passed the QC requirements for Omics assays, underscoring the reliability and effectiveness of the GENESTAR manual.

Identifiers

PMID40368955
PMCPMC12078511

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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.